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Conservation genomics research often relies on accurate sex information to make inferences about species demography, dispersal, and population structure. However, field determined sex data are not always available and can be subject to human error, while laboratory sex assignment methods such as PCR assays can often be costly and challenging for non-model species. Conservation genomics programs increasingly use reduced-representation genome sequencing to assess neutral and functional genetic diversity, population structure, gene flow and pedigrees in threatened species. Here we demonstrate that sex can be determined from reduced-representation sequencing data produced by the increasingly popular Diversity Arrays Technology sequencing workflow (DArT-seq) using a program originally designed for application to shotgun data. This program—sexassign—compares the “dosage” of sequencing reads mapping to autosomes versus the X chromosome. In the present study, sexassign was used to identify the sex of 60 field-collected Greater Stick-Nest Rat (Leporillus conditor) samples, despite the absence of an annotated reference genome for the species. This “read-dosage” approach is not only more accurate and affordable than traditional sex assignment methods, but can be applied to any diploid organism with a heterogametic sex determination system—including non-model and understudied species of conservation importance—by using FASTQs generated by DArT.

The Coffee Berry Disease (CBD) epidemics destroy up to 100% of the crop on a susceptible variety. Resistance to CBD is conferred by the T-gene in Hibrido De Timor (HDT), R-gene in Rume Sudan (RS), and k-gene in K7, which were assembled in resistance varieties Ruiru 11(R11) and Batian. This study aimed to evaluate the genetic relationship between R11 and Batian with their parents' HDT, RS, SL8 and confirm the occurrence of T and R genes using DNA markers. Genome-wide single nucleotide polymorphism (SNP) markers were obtained through Diversity Arrays Technology sequencing (DArTseq). The genetic relationship was analyzed by Principal Component Analysis and hierarchical clustering. The Tgene was confirmed using Microsatellite primer, Sat 235 while the R gene was by marker sequence search within the DArTseq result files. The PC1 accounted for 42% of the total variation. Hierarchical clustering revealed less than 10% dissimilarity index apart from HDT that recorded above 20%. All the R11 and Batian genotypes carry the T gene. Eleven genotypes carry both T and R genes, therefore, with broad-based resistance to CBD. The study confirmed the narrow genetic relations within the Coffea arabica coffee varieties and further confirmed the occurrence of multiple gene resistance in R11 and Batian that will not break easily to new pathogen races. Key words: Coffee berry disease, diversity arrays technology sequencing, T gene, R gene, Ruiru 11, Batian, SL 28, codominant.

Pearl millet hybrids biofortified with iron (Fe) and zinc (Zn) promise to be part of a long-term strategy to combat micronutrient malnutrition in the arid and semi-arid tropical (SAT) regions of the world. Biofortification through molecular breeding is the way forward to achieving a rapid trait-based breeding strategy. This genome-wide association study (GWAS) was conducted to identify significant marker-trait associations (MTAs) for Fe, Zn, and protein content (PC) for enhanced biofortification breeding. A diverse panel of 281 advanced inbred lines was evaluated for Fe, Zn, and PC over two seasons. Phenotypic evaluation revealed high variability (Fe: 32–120 mg kg−1, Zn: 19–87 mg kg−1, PC: 8–16%), heritability (hbs2 ≥ 90%) and significantly positive correlation among Fe, Zn and PC (P = 0.01), implying concurrent improvement. Based on the Diversity Arrays Technology (DArT) seq assay, 58,719 highly informative SNPs were filtered for association mapping. Population structure analysis showed six major genetic groups (K = 6). A total of 78 MTAs were identified, of which 18 were associated with Fe, 43 with Zn, and 17 with PC. Four SNPs viz., Pgl04_64673688, Pgl05_135500493, Pgl05_144482656, and Pgl07_101483782 located on chromosomes Pgl04 (1), Pgl05 (2) and Pgl07 (1), respectively were co-segregated for Fe and Zn. Promising genes, ‘Late embryogenesis abundant protein’, ‘Myb domain’, ‘pentatricopeptide repeat’, and ‘iron ion binding’ coded by 8 SNPs were identified. The SNPs/genes identified in the present study presents prospects for genomics assisted biofortification breeding in pearl millet.

Systematic genetic profiling of the genetic pool is fundamental to select desirable parents for conventional and genomic-assisted breeding. The objective of this study was to assess genetic variati...

Net form net blotch (NFNB), caused by the fungal pathogen Pyrenophora teres f. teres, is an important foliar disease present in all barley-producing regions of the world. This fungus is a hemibiotrophic and heterothallic ascomycete, where sexual recombination can lead to changes in disease expression in the host. Knowledge of the genetic architecture and genes involved in virulence is vital to increase the durability of NFNB resistance in barley cultivars. We used a genome-wide association mapping approach to characterize P. teres f. teres genomic regions associated with virulence in Australian barley cultivars. One hundred eighty-eight P. teres f. teres isolates collected across five Australian states were genotyped using Diversity Arrays Technology sequence markers and phenotyped across 20 different barley genotypes. Association mapping identified 14 different genomic regions associated with virulence, with the majority located on P. teres f. teres chromosomes 3 and 5 and one each present on chromosomes 1, 6, and 9. Four of the regions identified were confirmed by quantitative trait loci (QTL) mapping. The QTL regions are discussed in the context of their genomic architecture together with examination of their gene contents, which identified 20 predicted effectors. The number of QTL shown in this study at the population level clearly illustrates a complex genetic basis of P. teres f. teres virulence compared with pure necrotrophs, such as the wheat pathogens Parastagonospora nodorum and Parastagonospora tritici-repentis.

Net form of net blotch caused by Pyrenophora teres f.teres(Ptt) is a major foliar disease of barley (Hordeum vulgare) worldwide. Knowledge of the evolution of Ptt pathogen populations is important for development of durable host-plant resistance. This study was conducted to investigate changes in genetic structure of a Ptt population within a barley field during three cropping years. The susceptible barley cultivar Henley was inoculated with Ptt isolate NB050. Leaf samples were collected during the years 2013–15 and 174 single spore Ptt isolates stored. Genotyping using Diversity Arrays Technology markers identified that 25% of isolates were clones of the inoculated isolate and 75% of isolates were multilocus genotypes (MLGs) differing from the original inoculated genotype. The novel genotypes probably orig-inated from a combination of windborne spores from neighbouring fields, infected seed and sexual recombination in the field. The rapid change in the genotypic composition of the Ptt population in this study suggests adaptive potential of novel genotypes and demonstrates the need for barley breeders to use multiple sources of host-plant resistance to safeguard against resistance being overcome.

Background Stripe rust is a serious fungal disease of wheat (Triticum aestivum L.) caused by Puccinia striiformis f. sp. tritici (Pst), which results in yield reduction and decreased grain quality. Breeding for genetic resistance to stripe rust is the most cost-effective method to control the disease. In the present study, a genome-wide association study (GWAS) was conducted to identify markers linked to stripe rust resistance genes (or loci) in 93 Northern Chinese wheat landraces, using Diversity Arrays Technology (DArT) and simple sequence repeat (SSR) molecular marker technology based on phenotypic data from two field locations over two growing seasons in China. Results Seventeen accessions were verified to display stable and high levels of adult plant resistance (APR) to stripe rust via multi-environment field assessments. Significant correlations among environments and high heritability were observed for stripe rust infection type (IT) and disease severity (DS). Using mixed linear models (MLM) for the GWAS, a total of 32 significantly associated loci (P

The barley net blotch diseases are caused by two fungal species of the Pyrenophora genus. Specifically, spot form net blotch is caused by P. teres f. sp. maculata (Ptm) whereas net form net blotch is caused by P. teres f. sp. teres (Ptt). Ptt and Ptm show high genetic diversity in the field due to intraspecific sexual recombination and hybridisation of the two species although the latter is considered rare. Here we present occurrence of a natural Ptt/Ptm hybrid with azole fungicides resistance and its implication to barley disease management in Australia. We collected and sequenced a hybrid, 3 Ptm and 10 Ptt isolates and performed recombination analyses in the intergenic and whole genome level. Eleven out of 12 chromosomes showed significant (P < 0.05) recombination events in the intergenic regions while variable recombination rate showed significant recombination across all the chromosomes. Locus specific analyses of Cyp51A1 gene showed at least four recombination breakpoints including a point mutation that alter target protein function. This point mutation did not found in Ptt and Ptm collected prior to 2013 and 2017, respectively. Further genotyping of fourteen Ptt, 48 HR Ptm, fifteen Ptm and two P. teres isolates from barley grass using Diversity Arrays Technology markers showed that all HR Ptm isolates were clonal and not clustered with Ptt or Ptm. The result confirms occurrence of natural recombination between Ptt and Ptm in Western Australia and the HR Ptm is likely acquired azole fungicide resistance through recombination and underwent recent rapid selective sweep likely within the last decade. The use of available fungicide resistance management tactics are essential to minimise and restrict further dissemination of these adaptive HR Ptm isolates.

The development of nutritionally enhanced wheat (Triticum aestivum L.) with higher levels of grain iron (Fe) and zinc (Zn) offers a sustainable solution to micronutrient deficiency among resource-poor wheat consumers. One hundred and ninety recombinant inbred lines (RILs) from ‘Kachu’ × ‘Zinc-Shakti’ cross were phenotyped for grain Fe and Zn concentrations and phenological and agronomically important traits at Ciudad Obregon, Mexico in the 2017–2018, 2018–2019, and 2019–2020 growing seasons and Diversity Arrays Technology (DArT) molecular marker data were used to determine genomic regions controlling grain micronutrients and agronomic traits. We identified seven new pleiotropic quantitative trait loci (QTL) for grain Zn and Fe on chromosomes 1B, 1D, 2B, 6A, and 7D. The stable pleiotropic QTL identified have expanded the diversity of QTL that could be used in breeding for wheat biofortification. Nine RILs with the best combination of pleiotropic QTL for Zn and Fe have been identified to be used in future crossing programs and to be screened in elite yield trials before releasing as biofortified varieties. In silico analysis revealed several candidate genes underlying QTL, including those belonging to the families of the transporters and kinases known to transport small peptides and minerals (thus assisting mineral uptake) and catalyzing phosphorylation processes, respectively.

Tolerance to metribuzin, a broad-spectrum herbicide, is an important trait for weed control in wheat breeding. However, the genetics of metribuzin tolerance in relation to the underlying quantitative trait loci (QTL) and genes is limited. This study developed F8 recombinant inbred lines (RILs) from a cross between a highly resistant genotype (Chuan Mai 25) and highly susceptible genotype (Ritchie), which were used for QTL mapping of metribuzin tolerance. Genotyping was done using a diversity arrays technology sequencing (DArTseq) platform, and phenotyping was done in controlled environments. Herbicide tolerance was measured using three traits, visual score (VS), reduction of chlorophyll content (RCC), and mean value of chlorophyll content for metribuzin-treated plants (MCC). A high-density genetic linkage map was constructed using 2,129 DArTseq markers. Inclusive composite interval mapping (ICIM) identified seven QTL, one each on chromosomes 2A, 2D, 3A, 3B, 4A, 5A, and 6A. Three major QTL—Qrcc.uwa.2AS, Qrcc.uwa.5AL, and Qrcc.uwa.6AL—explained 11.39%, 11.06%, and 11.45% of the phenotypic variation, respectively. The 5A QTL was further validated using kompetitive allele-specific PCR (KASP) assays in an F3 validation population developed from Chuan Mai 25 × Dagger. Blasting the single-nucleotide polymorphisms (SNPs) flanking the QTL in the wheat reference genome RefV1.0 revealed SNP markers within or very close to annotated genes which could be candidate genes responsible for metribuzin tolerance. Most of the candidate genes were related to metabolic detoxification, especially those of P450 pathway and xenobiotic transmembrane transporter activity, which are reportedly key molecules responsible for herbicide tolerance. This study is the first to use specially developed populations to conduct QTL mapping on the metribuzin tolerance trait. The three major QTL and candidate genes identified in this study could facilitate marker-assisted metribuzin breeding in wheat. The QTL could be fine-mapped to locate the genes responsible for metribuzin tolerance, which could be introgressed into elite wheat cultivars.

Background The development of genome-wide genotyping resources has provided terrestrial livestock and crop industries with the unique ability to accurately assess genomic relationships between individuals, uncover the genetic architecture of commercial traits, as well as identify superior individuals for selection based on their specific genetic profile. Utilising recent advancements in de-novo genome-wide genotyping technologies, it is now possible to provide aquaculture industries with these same important genotyping resources, even in the absence of existing genome assemblies. Here, we present the development of a genome-wide SNP assay for the Black Tiger shrimp (Penaeus monodon) through utilisation of a reduced-representation whole-genome genotyping approach (DArTseq). Results Based on a single reduced-representation library, 31,262 polymorphic SNPs were identified across 650 individuals obtained from Australian wild stocks and commercial aquaculture populations. After filtering to remove SNPs with low read depth, low MAF, low call rate, deviation from HWE, and non-Mendelian inheritance, 7542 high-quality SNPs were retained. From these, 4236 high-quality genome-wide loci were selected for baits-probe development and 4194 SNPs were included within a finalized target-capture genotype-by-sequence assay (DArTcap). This assay was designed for routine and cost effective commercial application in large scale breeding programs, and demonstrates higher confidence in genotype calls through increased call rate (from 80.2 ± 14.7 to 93.0% ± 3.5%), increased read depth (from 20.4 ± 15.6 to 80.0 ± 88.7), as well as a 3-fold reduction in cost over traditional genotype-by-sequencing approaches. Conclusion Importantly, this assay equips the P. monodon industry with the ability to simultaneously assign parentage of communally reared animals, undertake genomic relationship analysis, manage mate pairings between cryptic family lines, as well as undertake advance studies of genome and trait architecture. Critically this assay can be cost effectively applied as P. monodon breeding programs transition to undertaking genomic selection.

Background Transcription factor (TF) GAMYB, belonging to MYB family (named after the gene of the avian myeloblastosis virus) is a master gibberellin (GA)-induced regulatory protein that is crucial for development and germination of cereal grain and involved in anther formation. It activates many genes including high-molecular-weight glutenin and α-amylase gene families. This study presents the first attempt to characterize the rye gene encoding GAMYB in relation to its sequence, polymorphisms, and phenotypic effects. Results ScGAMYB was mapped on rye chromosome 3R using high-density Diversity Arrays Technology (DArT)/DArTseq-based maps developed in three mapping populations. The ScGAMYB sequences were identified in RNA-seq libraries of four rye inbred lines. The transcriptome used for the search contained almost 151,000 transcripts with a median contig length of 500 nt. The average amount of total base raw data was approximately 9 GB. Comparative analysis of the ScGAMYB sequence revealed its high level of homology to wheat and barley orthologues. Single nucleotide polymorphisms (SNPs) detected among rye inbred lines allowed the development of allele specific-PCR (AS-PCR) markers for ScGAMYB that might be used to detect this gene in wide genetic stocks of rye and triticale. Segregation of the ScGAMYB alleles showed significant relationship with α-amylase activity (AMY). Conclusions The research showed the strong similarity of rye GAMYB sequence to its orthologues in other Graminae and confirmed the position in the genome consistent with the collinearity rule of cereal genomes. Concurrently, the ScGAMYB coding sequence (cds) showed stronger variability (24 SNPs) compared to the analogous region of wheat (5 SNPs) and barley (7 SNPs). The moderate regulatory effect of ScGAMYB on AMY was confirmed, therefore, ScGAMYB was identified as a candidate gene for partial control of α-amylase production in rye grain. The predicted structural protein change in the aa region 362–372, caused by a single SNP (C/G) at the 1100 position in ScGAMYB cds and single aa sequence change (S/C) at the 367 position, is the likely cause of the differences in the effectiveness of ScGAMYB regulatory function associated with AMY. The development of sequence-based, allele-specific (AS) PCR markers could be useful in research and application.

Elucidation of the process of sex chromosome differentiation is necessary to understand the dynamics of evolutionary mechanisms in organisms. The W sex chromosome of the Siamese cobra (Naja kaouthia) contains a large number of repeats and shares amniote sex chromosomal linkages. Diversity Arrays Technology provides an effective approach to identify sex-specific loci that are epoch-making, to understand the dynamics of molecular transitions between the Z and W sex chromosomes in a snake lineage. From a total of 543 sex-specific loci, 90 showed partial homology with sex chromosomes of several amniotes and 89 loci were homologous to transposable elements. Two loci were confirmed as W-specific nucleotides after PCR amplification. These loci might result from a sex chromosome differentiation process and involve putative sex-determination regions in the Siamese cobra. Sex-specific loci shared linkage homologies among amniote sex chromosomes, supporting an ancestral super-sex chromosome.

Stripe rust caused by Puccinia striiformis f. sp. tritici (Pst) is one of the most devastating foliar diseases in wheat. Host resistance is the most effective strategy for the management of the disease. To screen for accessions with stable resistance and identify effective stripe rust resistance loci, a genome-wide association study (GWAS) was conducted using a panel of 140 Chinese wheat landraces. The panel was evaluated for stripe rust response at the adult-plant stage at six field-year environments with mixed races and at the seedling stage with two separate predominant races of the pathogen, and genotyped with the genome-wide Diversity Arrays Technology markers. The panel displayed abundant phenotypic variation in stripe rust responses, with 9 landraces showing stable resistance to the mixture of Pst races at the adult-plant stage in the field and 10 landraces showing resistance to individual races at the seedling stage in the greenhouse. GWAS identified 12 quantitative trait loci (QTL) significantly (P ≤ 0.001) associated to stripe rust resistance using the field data of at least two environments and 18 QTL using the seedling data with two races. Among these QTL, 10 were presumably novel, including 4 for adult-plant resistance mapped to chromosomes 1B (QYrcl.sicau-1B.3), 4A (QYrcl.sicau-4A.3), 6A (QYrcl.sicau-6A.2) and 7B (QYrcl.sicau-7B.2) and 6 for all-stage resistance mapped to chromosomes 2D (QYrcl.sicau-2D.1), 3B (QYrcl.sicau-3B.3), 3D (QYrcl.sicau-3D), 4B (QYrcl.sicau-4B), 6A (QYrcl.sicau-6A.1) and 6D (QYrcl.sicau-6D). The landraces with stable resistance can be used for developing wheat cultivars with effective resistance to stripe rust.

An investigation of sex-specific loci may provide important insights into fish sex determination strategies. This may be useful for biotechnological purposes, for example, to produce all-male or all-female fish for commercial breeding. The North African catfish species, Clarias gariepinus, has been widely adopted for aquaculture because its superior growth and disease resistance render the species suitable for hybridization with other catfish to improve the productivity and quality of fish meat. This species has either a ZZ/ZW or XX/XY sex determination system. Here, we investigate and characterize these systems using high-throughput genome complexity reduction sequencing as Diversity Arrays Technology. This approach was effective in identifying moderately sex-linked loci with both single-nucleotide polymorphisms (SNPs) and restriction fragment presence/absence (PA) markers in 30 perfectly sexed individuals of C. gariepinus. However, SNPs based markers were not found in this study. In total, 41 loci met the criteria for being moderately male-linked (with male vs. female ratios 80:20 and 70:30), while 25 loci were found to be moderately linked to female sex. No strictly male- or female-linked loci were detected. Seven moderately male-linked loci were partially homologous to some classes of transposable elements and three moderately male-linked loci were partially homologous to functional genes. Our data showed that the male heterogametic XX/XY sex determination system should co-exist with the ZZ/ZW system in C. gariepinus. Our finding of the co-existence of XX/XY and ZZ/ZW systems can be applied to benefit commercial breeding of this species in Thailand. This approach using moderately sex-linked loci provides a solid baseline for revealing sex determination mechanisms and identify potential sex determination regions in catfish, allowing further investigation of genetic improvements in breeding programs.

The socio-economic impact of Fusarium odoratissimum, which is colloquially called tropical race 4 (TR4), is escalating as this fungal pathogen spreads to new banana-growing areas. Hence, the development of simple, reliable and rapid detection technologies is indispensable for implementing quarantine measures. Here, a versatile loop-mediated isothermal amplification (LAMP) assay has been developed that is applicable under field and laboratory conditions. DNA markers unique to TR4 isolates were obtained by diversity arrays technology sequencing (DArTseq), a genotyping by sequencing technology that was conducted on 27 genotypes, comprising 24 previously reported vegetative compatibility groups (VCGs) and three TR4 isolates. The developed LAMP TR4 assay was successfully tested using 22 TR4 isolates and 45 non-target fungal and bacterial isolates, as well as on infected plants under greenhouse and field conditions. The detection limit was 1 pg µL−1 pure TR4 DNA or 102 copies plasmid-localized TR4 unique sequence (SeqA) per reaction, which was not affected by background DNA in complex samples. The LAMP TR4 assay offers a powerful tool for the routine and unambiguous identification of banana plants infected with TR4, contributing to advanced diagnosis in field situations and monitoring of fusarium wilt.

A low level of available potassium (K) in soils is a major factor restricting crop growth and production. In earlier studies we found that Tibetan wild barley has a wider variation in low K stress tolerance than cultivated barley. In this study, we performed a genome-wide association analysis of 179 Tibetan wild barley (Hordeum vulgare L.) accessions exposed to low K stress and investigated the associations of K uptake rate (KUR), K translocation rate (KTR) and other K metabolism traits with 11,013 diversity arrays technology markers. The results showed that there were significant differences in tissue K concentration and content, KUR and KTR among the wild barley accessions analyzed. Scores for all traits showed a normal distribution. Three significant quantitative trait loci (QTLs) for KUR and KTR were identified and located on 6H and 1H. These QTLs were found to be associated with the cation/H(+) antiporter and cyclic nucleotide gated channel. A number of unique candidate genes associated with K-related signals, including K channels, K transporters and ethylene-related genes, were also identified. The K channels and K transporters involved in K uptake and translocation, respectively, were closely associated with KUR in response to low K stress. The present study highlights the potential of Tibetan wild barley to provide elite candidate genes for the improvement of K use efficiency of barley.

Fructans (fructo-oligosaccharides) is one of the most important carbohydrates in wheat vegetative tissues and plays a vital role in wheat grain development. One hundred and forty 'Avocet'× 'Chilero' wheat (Triticum aestivum L.) recombinant inbred lines (RILs) were phenotyped for grain fructans at Luoyang and Langzhou field sites in the 2015-2016 and 2016-2017 growing seasons and 2090 Diversity Arrays Technology (DArT) molecular marker data were used to determine genomic regions controlling fructan content. Eleven significant quantitative trait loci (QTL) for wheat fructan content were identified on chromosomes 1B, 2A, 2B, 2D, 3D, 4B, 6B, 6D, 7A, and 7B using the inclusive composite interval mapping (ICIM) method, explaining 4.08% to 27.40% of the phenotypic variance, with seven exceeding 10%. The single environment analysis identified QF.haust-6D.1 and QF.haust-7B in Luoyang, QF.haust-1B, QF.haust-2D, QF.haust-3D, and QF.haust-7B in Lanzhou, and QF.haust-1B, QF.haust-7A, and QF.haust-7B in average phenotypic performance. The multi-environment analysis identified QF.haust-2B and QF.haust-7B, which explained 21.01% and 17.39% of the phenotypic variance, respectively. The positive allele of QF.haust-2B and QF.haust-7B were all originated from Chilero. QF.haust-2B was flanked by the 3957031 and SNP1203021 markers; candidate genes for QF.haust-2B were identified by anchoring marker sequences in the IGWSC wheat genome sequence, involving a variety of biological processes, such as the regulation of ribosomes metabolism in wheat. We also constructed the physical map for wheat grain fructan QF.haust-2B and QF.haust-7B, QF.haust-7B with a physical length of 11.47 Mb between marker SNP3026392 and 3954877 and 103 genes within the segment, in which ten were related to glucose metabolism. This study provides a theoretical basis and technical support for wheat grain fructan content-related genes and molecular marker-assisted breeding.

As one of the world’s earliest domesticated crops, barley is a model species for the study of evolution and domestication. Domestication is an evolutionary process whereby a population adapts, through selection; to new environments created by human cultivation. We describe the genome-scanning of molecular diversity to assess the evolution of barley in the Tibetan Plateau. We used 667 Diversity Arrays Technology (DArT) markers to genotype 185 barley landraces and wild barley accessions from the Tibetan Plateau. Genetic diversity in wild barley was greater than in landraces at both genome and chromosome levels, except for chromosome 3H. Landraces and wild barley accessions were clearly differentiated genetically, but a limited degree of introgression was still evident. Significant differences in diversity between barley subspecies at the chromosome level were observed for genes known to be related to physiological and phenotypical traits, disease resistance, abiotic stress tolerance, malting quality and agronomic traits. Selection on the genome of six-rowed naked barley has shown clear multiple targets related to both its specific end-use and the extreme environment in Tibet. Our data provide a platform to identify the genes and genetic mechanisms that underlie phenotypic changes, and provide lists of candidate domestication genes for modified breeding strategies.

The aim of many breeding programs for the conservation of genetic biodiversity is to preserve the genetic resources of wild species of wheat. Long-term selection combined with genetic drift (random changes in allele frequency within a population) and the bottleneck effect (a sudden random event that decreases the size of a population and limits its gene pool) have depleted the genetic diversity of the most popular species of the genus Triticum:common wheat (T. aestivum ssp. aestivum) and durum wheat (T. turgidum ssp. durum). These changes have turned the researchers’ attention to ancient species of wheat, including einkorn (T. monococcum ssp. monococcum), emmer (T. turgidum ssp. dicoccum) and spelt (T. aestivum ssp. spelta). Ancient species are characterized by a rich gene pool, and the most desirable genes can be transferred to the cultivated wheat species via introgression. Advanced molecular techniques support increasingly complex analyses of genetic diversity in various accessions of the genus Triticum and detailed examinations of their relationship, which determines changes in the taxonomy of the genus Triticum. Genetic diversity analyses increasingly often rely on DNA markers with various sensitivity, mostly restriction fragment length polymorphism (RFLP), amplified fragment length polymorphism (AFLP), simple sequence repeat (SSR), single-nucleotide polymorphism (SNP) and diversity arrays technology (DArT) markers. The development of a universal taxonomic system for the genus Triticum is a highly challenging task. Continued efforts are being made in this area to expand our knowledge about the phylogeny of wheat and systematize various accessions in genetic databases.

A novel QTL for FHB resistance was mapped on wheat 7DL, being effective in multiple genetic backgrounds and environments, and comparable to Fhb1 in effect magnitude. Fusarium head blight (FHB) is one of the major fungal diseases affecting wheat production in many countries. The wheat line AQ24788-83 (AQ) possesses FHB resistance. The American wheat cultivar Luke is FHB susceptible. A Luke × AQ population consisting of 1652 advanced recombinant inbred lines (RILs) was developed, from which 272 RILs were randomly sampled and used to construct a linkage map. Another 154 RILs were selected for homogeneity in plant height (PH) and flowering date (FD). This selection strategy was adopted to reduce possible confounding effects on FHB assessment due to variation in PH and FD. The 272 and 154 RILs were genotyped applying simple sequence repeat (SSR), diversity arrays technology (DArT) and single-nucleotide polymorphism (SNP) markers. The two sets of RILs were evaluated for FHB resistance applying point inoculation in greenhouses; the 154 RILs were also evaluated applying spray inoculation in multiple field environments. The linkage map consisted of 2088 SSR, DArT, and SNP markers. A FHB resistance quantitative trait locus (QTL), designated as QFhb.cau-7DL, was detected on chromosome arm 7DL; this QTL was closely linked to the SSR marker gwm428 ( http://www.wheat.pw.usda.gov/ggpages/SSR/ ). QFhb.cau-7DL was significantly effective (α = 0.01) in every test trial, and its effectiveness was validated using three additional wheat crosses. Sumai 3 (donor wheat of the FHB resistance gene Fhb1) was used in one of these crosses. QFhb.cau-7DL was comparable to Fhb1 in effect magnitude, providing a great potential for improving FHB resistance.

The abundant genetic diversity in synthetic hexaploid wheat (SHW) can achieve breakthroughs in wheat genetic improvement, but little is known of the genetic mechanisms involved. In this study, three populations of advanced lines (totaling 284 individuals), derived from three top-crosses of SHW-L1 with different common wheat cultivars, followed by ten generations of artificial selection, were used to evaluate the transfer of alien alleles with 24872 Diversity Arrays Technology (DArT) markers. Only 1824, 1786 and 1514 DArT markers were needed to distinguish the alleles from SHW-L1 and the other common wheat parent in the populations SCPD, SS7M and SSYZ, respectively. The data clearly showed that all the advanced lines contained alien alleles from SHW-L1. The lowest percentage of alien alleles was 6.97% in an advanced line in population SSYZ, while the biggest was 30.41% in a SCPD advanced lines. The percentages of alien alleles at each locus ranged from 0% to 100% in all three populations. Forty-four alien alleles did not exist in all advanced lines, while two alien alleles were present in all advanced lines. Two of the 100% alien alleles were associated with thousand-grain weight and leaf rust resistance. Thirteen alien alleles were associated with grain yield, grain thickness and width, thousand-grain weight, grain weight/ear, plant height, grain weight, grain number, powdery mildew resistance, spikelet number per spike or yellow rust resistance. The research provided direct evidence of the existence of alien alleles in advanced lines and detected a number of valuable alleles related to wheat yield or disease resistance. More research is needed to analyze the functional mechanisms of these alleles, and to use these materials and alleles in wheat improvement.

Key message This study revealed that the western Mediterranean provided the founder population for domesticated narrow-leafed lupin and that genetic diversity decreased significantly during narrow-leafed lupin domestication. Abstract The evolutionary history of plants during domestication profoundly shaped the genome structure and genetic diversity of today’s crops. Advances in next-generation sequencing technologies allow unprecedented opportunities to understand genome evolution in minor crops, which constitute the majority of plant domestications. A diverse set of 231 wild and domesticated narrow-leafed lupin (Lupinus angustifolius L.) accessions were subjected to genotyping-by-sequencing using diversity arrays technology. Phylogenetic, genome-wide divergence and linkage disequilibrium analyses were applied to identify the founder population of domesticated narrow-leafed lupin and the genome-wide effect of domestication on its genome. We found wild western Mediterranean population as the founder of domesticated narrow-leafed lupin. Domestication was associated with an almost threefold reduction in genome diversity in domesticated accessions compared to their wild relatives. Selective sweep analysis identified no significant footprints of selection around domestication loci. A genome-wide association study identified single nucleotide polymorphism markers associated with pod dehiscence. This new understanding of the genomic consequences of narrow-leafed lupin domestication along with molecular marker tools developed here will assist plant breeders more effectively access wild genetic diversity for crop improvement. Electronic supplementary material The online version of this article (10.1007/s00122-018-3171-x) contains supplementary material, which is available to authorized users.

Background Genomic prediction using Diversity Arrays Technology (DArT) genotype by sequencing platform has not been reported in yellowtail kingfish (Seriola lalandi). The principal aim of this study was to address this knowledge gap and to assess predictive ability of genomic Best Linear Unbiased Prediction (gBLUP) for traits of commercial importance in a yellowtail kingfish population comprising 752 individuals that had DNA sequence and phenotypic records for growth traits (body weight, fork length and condition index). The gBLUP method was used due to its computational efficiency and it showed similar predictive performance to other approaches, especially for traits whose variation is of polygenic nature, such as body traits analysed in this study. The accuracy or predictive ability of the gBLUP model was estimated for three growth traits: body weight, folk length and condition index. Results The prediction accuracy was moderate to high (0.44 to 0.69) for growth-related traits. The predictive ability for body weight increased by 17.0% (from 0.69 to 0.83) when missing genotype was imputed. Within population prediction using five-fold across validation approach showed that the gBLUP model performed well for growth traits (weight, length and condition factor), with the coefficient of determination (R2) from linear regression analysis ranging from 0.49 to 0.71. Conclusions Collectively our results demonstrated, for the first time in yellowtail kingfish, the potential application of genomic selection for growth-related traits in the future breeding program for this species, S. lalandi. Electronic supplementary material The online version of this article (10.1186/s12864-018-4493-4) contains supplementary material, which is available to authorized users.

Polyphenol oxidase (PPO) causes undesirable darkening in wheat products such as Asian noodles. The inheritance of PPO activity was investigated in a doubled haploid (DH) population derived from a hybrid between a null PPO genotype VAW08-A17 and Australian wheat variety QALBis. The observed genetic ratio indicated three genes controlling high PPO activity. Quantitative trait loci (QTL) mapping was performed in this DH population using diversity arrays technology (DArT) to genotype the population. Three highly significant QTLs that control PPO activity were identified on chromosomes 2AL, 2BS and 2DL with additive mode of action. Three closely associated DArT markers, wPt-7024, wPt-0094 and wPt-2544, were identified corresponding to these QTLs. Collectively, these loci explained 74% of the observed variation in PPO activity. Identification of DArT markers associated with PPO genes will accelerate the development of null or very low PPO cultivars that exhibit reduced time-dependent darkening of Asian ...

Synthetic hexaploid wheat (SHW) possesses numerous genes for resistance to stress, including phosphorus (P) deficiency. Root diameter (RDM) plays an important role in P-deficiency tolerance, but information related to SHW is still limited. Thus, the objective of this study was to investigate the genetic architecture of RDM in SHW under P-deficient conditions. To this end, we measured the RDM of 138 F9 recombinant inbred lines derived from an F2 population of a synthetic hexaploid wheat line (SHW-L1) and a common wheat line (Chuanmai32) under two P conditions, P sufficiency (PS) and P deficiency (PD), and mapped quantitative trait loci (QTL) for RDM using an enriched high-density genetic map, containing 120,370 single nucleotide polymorphisms, 733 diversity arrays technology markers, and 119 simple sequence repeats. We identified seven RDM QTL for P-deficiency tolerance that individually explained 11–14.7% of the phenotypic variation. Five putative candidate genes involved in root composition, energy supply, and defense response were predicted. Overall, our results provided essential information for cloning genes related to P-deficiency tolerance in common wheat that might help in breeding P-deficiency-tolerant wheat cultivars.

Improving water-use efficiency by incorporating drought avoidance traits into new wheat varieties is an important objective for wheat breeding in water-limited environments. This study uses genome wide association studies (GWAS) to identify candidate loci for water-soluble carbohydrate accumulation—an important drought-avoidance characteristic in wheat. Phenotypes from a multi-environment trial with experiments differing in water availability and separate single nucleotide polymorphism (SNP) and diversity arrays technology (DArT) marker sets were used to perform the analyses. Significant associations for water-soluble carbohydrate accumulation were identified on chromosomes 1A, 1B, 1D, 2D, and 4A. Notably, these loci did not collocate with the major loci identified for relative maturity. Loci on chromosome 1D collocated with markers previously associated with the high molecular weight glutenin Glu-D1 locus. Genetic × environmental interactions impacted the results strongly, with significant associations for carbohydrate accumulation identified only in the water-deficit experiments. The markers associated with carbohydrate accumulation may be useful for marker-assisted selection of drought tolerance in wheat.

We identified Rph24 as a locus in barley (Hordeum vulgare L.) controlling adult plant resistance (APR) to leaf rust, caused by Puccinia hordei. The locus was previously reported as a quantitative trait locus in barley line ND24260-1 and named qRphND. We crossed ND24260-1 to the leaf-rust-susceptible standard Gus and determined inheritance patterns in the progeny. For the comparative marker frequency analysis (MFA), resistant and susceptible tails of the F2 were genotyped with Diversity Arrays Technology genotyping-by-sequencing (DArT-Seq) markers. The Rph24 locus was positioned at 55.5 centimorgans on chromosome 6H on the DArT-Seq consensus map. Evaluation of F2:3 families confirmed that a single locus from ND24260-1 conferred partial resistance. The haploblock strongly associated with the Rph24 locus was used to estimate the allele frequency in a collection of 282 international barley cultivars. Rph24 was frequently paired with APR locus Rph20 in cultivars displaying high levels of APR to leaf rust. The markers identified in this study for Rph24 should be useful for marker-assisted selection.

Leaf rust (LR) and stripe rust (YR) are important diseases of wheat worldwide. We used 148 recombinant inbred lines (RIL) from the cross of Avocet × Kundan for determining and mapping the genetic basis of adult plant resistance (APR) loci. The population was phenotyped LR and YR for three seasons in field trials conducted in Mexico and genotyped with the diversity arrays technology sequencing (DArT-Seq) and simple sequence repeat markers. The final genetic map was constructed using 2,937 polymorphic markers with an average distance of 1.29 centimorgans between markers. Inclusive composite interval mapping identified two co-located APR quantitative trait loci (QTL) for LR and YR, two LR QTL, and three YR QTL. The co-located resistance QTL on chromosome 1BL corresponded to the pleiotropic APR gene Lr46/Yr29. QLr.cim-2BL, QYr.cim-2AL, and QYr.cim-5AS could be identified as new resistance loci in this population. Lr46/Yr29 contributed 49.5 to 65.1 and 49.2 to 66.1% of LR and YR variations, respectively. The additive interaction between detected QTL showed that LR severities for RIL combining four QTL ranged between 5.3 and 25.8%, whereas the lowest YR severities were for RIL carrying QTL on chromosomes 1BL + 2AL + 6AL. The high-density DArT-Seq markers across chromosomes can be used in fine mapping of the targeted loci and development SNP markers.

Chickpea has a narrow genetic base, and consequently many DNA-based markers were unsuccessful in revealing polymorphism. The problem was overcome by the development of simple sequence repeat and single nucleotide polymorphism markers that revealed adequate polymorphism and these became markers of choice in chickpea. In addition, transcription factor gene–derived microsatellite markers, intron targeted primers, expressed sequence tag polymorphisms, diversity arrays technology, and insertion-deletion markers have also been developed for chickpea. Genotyping by sequencing is also gaining popularity. Saturated linkage maps of chickpea with adequate marker density on each linkage group have also been constructed; however, several of the recently developed markers are still to be placed on linkage maps. The markers have subsequently been used to map genes or identify quantitative trait loci (QTLs) for biotic stress resistance, abiotic stress tolerance, and agro-morphological traits. Using reference genomes of chickpea and QTL intervals, candidate genes in QTL regions for several of these characters have been identified. Notably, genes involved in flowering in chickpea have been identified. Same QTL was also found to govern more than one trait, e.g., drought tolerance and plant vigor, salinity tolerance and higher plant vigor, salinity tolerance and higher reproductive success. The markers linked closely to genes/QTLs of interest have also been exploited to introgress wilt and blight resistance, and double podding character into agronomically superior cultivars.

Background Phosphorus deficiency is a major limiting factors for affecting crop production globally. To understand the genetic variation of phosphorus-deficiency-tolerance, a total of 15 seedling traits were evaluated among 707 Chinese wheat landraces under application of phosphorus (AP) and non-application of phosphorus (NP). A total of 18,594 single-nucleotide polymorphisms and 38,678 diversity arrays technology sequencing markers were used to detect marker-trait associations under AP and NP. Results Top ten genotypes with extremely tolerance and bottommost ten genotypes with extremely sensitivity were selected from 707 Chinese wheat landraces for future breeding and genetic analysis. A total of 55 significant markers (81 marker-trait associations) for 13 traits by both CMLM and SUPER method. These were distributed on chromosomes 1A, 1B, 2A, 2B, 2D, 3A, 4B, 5A, 5B, 6A, 6B, 6D, 7A and 7B. Considering the linkage disequilibrium decay distance, 25 and 12 quantitative trait loci (QTL) were detected under AP and NP, respectively (9 QTL were specific to NP). Conclusions The extremely tolerant landraces could be used for breeding phosphorus-deficiency-tolerant cultivars. The QTL could be useful in wheat breeding through marker-assisted selection. Our findings provide new insight into the genetic analysis of P-deficiency-tolerance, and will be helpful for breeding P-deficiency-tolerant cultivars.

Group-1 homoelog genes in wheat genomes encode storage proteins and are the major determinants of wheat product properties. Consequently, understanding the genetic diversity of group-1 homoelogs and genes encoding storage proteins, especially the low-molecular-weight glutenins (LMW-GSs), within wheat landrace genomes is necessary to further improve the quality of modern wheat crops. The genetic diversity of group-1 homoelogs in 75 Xinjiang winter wheat landraces was evaluated by Diversity Arrays Technology (DArT) markers. These data were used to select 15 landraces for additional LMW-GS gene isolation. The genetic similarity coefficients among landraces were highly similar regardless if considering the diversity markers on 1A, 1B, and 1D chromosomes individually or using all of the markers together. These similarities were evinced by the generation of four similar cluster dendrograms that comprised 11-15 landrace groups, regardless of the dataset used to generate the dendrograms. A total of 105 LMW-GS sequences corresponding to 79 unique genes were identified overall by using primers designed to target Glu-A3 and Glu-B3 loci, and 54 mature proteins were predicted from the unique LMW-GS genes. Nine novel chimeric LMW-GS genes were also identified, of which, one was recombinant for -i/-m, one for -s/-m, and seven for -m/-m parent genes, respectively. Phylogenetic analysis separated all of the LMW-GSs into three clades that were supported by moderate bootstrap values (> 70%). The clades corresponded to LMW-GS genes primarily harboring different N-terminals. These results provide useful information for better understanding the evolutionary genetics of the important Glu-3 locus of wheat, and they also provide new novel gene targets that can potentially be exploited to improve wheat quality.

CORE IDEAS Variations in 16 seedling traits under normal and drought conditions were investigated. Extremely resistant and sensitive accessions were identified for future analyses. Under normal and drought conditions, 57 and 29 QTL were identified, respectively. A total of 77 candidate genes were identified, and four were validated by qRT-PCR. Drought is one of the most important abiotic stressors affecting wheat (Triticum aestivum L.) production. To improve wheat yield, a better understanding of the genetic control of traits governing drought resistance is paramount. Here, using 645 wheat landraces, we evaluated 16 seedling traits related to root and shoot growth and water content under normal and drought (induced by polyethylene glycol) conditions. Extremely resistant and sensitive accessions were identified for future drought-resistance breeding and further genetic analyses. A genome-wide association study was performed for the 16 traits using 52,118 diversity arrays technology sequencing (DArT-seq) markers. A total of 57 quantitative trait loci (QTL) were detected for seven traits under normal conditions, whereas 29 QTL were detected for eight traits under drought conditions. On the basis of these markers, we identified 56 candidate genes for six seedling traits under normal conditions, and 21 candidate genes for seven seedling traits under drought conditions. Four candidate genes were validated under normal and drought conditions using quantitative reverse transcription polymerase chain reaction (qRT-PCR) data. The co-localization of the flowering date and drought-related traits indicates that the regulatory networks of flowering may also respond to drought stress or are associated with the correlated responses of these traits. The phenotypic and genetic elucidation of drought-related traits will assist future gene discovery efforts and provide a basis for breeding drought-resistant wheat cultivars.

Male specific DNA sequences were selected from a Diversity Arrays Technology (DArT) mapping study to evaluate their suitability for determination of the sex phenotype among young seedlings in a hop (Humulus lupulus L.) breeding program. Ten male specific DArT markers showed complete linkage with male sex phenotype in three crossing families. Following optimization, four were successfully converted into PCR markers and a multiplex PCR approach for their use was developed. Among 197 plants (97 from the world collection; 100 from three segregating families), 94–100% positive correlation with sex phenotypic data was achieved for the single PCR amplification, whereas the multiplex approach showed 100% correlation. To develop a fast and low-cost method, crude sample multiplex PCR was evaluated in 253 progenies from 14 segregating populations without losing accuracy. The study describes, for the first time, the routine application of molecular markers linked to male sex in an intensive Slovenian hop breeding program. The methods described could be employed for screening of sex at the seedling stage in other hop programs worldwide, thereby saving resources for desirable female plants.

Rohu (Labeo rohita) is a significant freshwater aquaculture species with approximately 1.8 Mt produced annually. Fin clips obtained from the founders of a newly established Bangladesh-based breeding population (~140 fish from each of the Halda, Jamuna and Padma rivers) were used to identify 9157 SNPs and 14 411 silicoDArT markers using the Diversity Arrays Technology (DArT) genotyping-by-sequencing platform known as using the DArTseqTM platform. After quality control, 1985 SNPs were retained and used to examine population structure within and among river systems. Examination of genomic relationships revealed evidence of full- and half-sibling relationships among founders. Accordingly, sibship and dummy parents were assigned within each river population using a maximum likelihood approach with COLONY software. Founders that had no dummy parents in common were then identified for population genetic analyses. Only 40 unique dummy parents and 17 founders with no common dummy parents were identified from the Halda river, compared with 206 (96) from the Jamuna and 184 (83) from the Padma. Overall pairwise FST estimates among rivers were low (< 0.005) and the optimum number of clusters using unsupervised K-means clustering was one, indicating little genetic divergence among the river populations in our SNPs. These results suggest that observed sibship among founders should be accounted for in future pedigree-based analyses and it cannot be assumed that fertilised spawn collections are representative samples of river populations.

Stripe rust (also known as yellow rust), caused by the pathogen Puccinia striiformis f. sp. tritici (Pst), is a common and serious fungal disease of wheat (Triticum aestivum L.) worldwide. To identify effective stripe rust resistance loci, a genome-wide association study was performed using 152 wheat landraces from the Yellow and Huai River Valleys in China based on Diversity Arrays Technology and simple sequence repeat markers. Phenotypic evaluation of the degree of resistance to stripe rust at the adult-plant stage under field conditions was carried out in five environments. In total, 19 accessions displayed stable, high degrees of resistance to stripe rust development when exposed to mixed races of Pst at the adult-plant stage in multi-environment field assessments. A marker-trait association analysis indicated that 51 loci were significantly associated with adult-plant resistance to stripe rust. These loci included 40 quantitative trait loci (QTL) regions for adult-plant resistance. Twenty identified resistance QTL were linked closely to previously reported yellow rust resistance genes or QTL regions, which were distributed across chromosomes 1B, 1D, 2A, 2B, 3A, 3B, 4A, 4B, 5B, 6B, 7A, 7B, and 7D. Six multi-trait QTL were detected on chromosomes 1B, 1D, 2B, 3A, 3B, and 7D. Twenty QTL were mapped to chromosomes 1D, 2A, 2D, 4B, 5B, 6A, 6B, 6D, 7A, 7B, and 7D, distant from previously identified yellow rust resistance genes. Consequently, these QTL are potentially novel loci for stripe rust resistance. Among the 20 potentially novel QTL, five (QDS.sicau-2A, QIT.sicau-4B, QDS.sicau-4B.2, QDS.sicau-6A.3, and QYr.sicau-7D) were associated with field responses at the adult-plant stage in at least two environments, and may have large effects on stripe rust resistance. The novel effective QTL for adult-plant resistance to stripe rust will improve understanding of the genetic mechanisms that control the spread of stripe rust, and will aid in the molecular marker-assisted selection-based breeding of wheat for stripe rust resistance.

Pea weevil (Bruchus pisorum) is a damaging insect pest affecting pea (Pisum sativum) production worldwide. No resistant cultivars are available, although some levels of incomplete resistance have been identified in Pisum germplasm. To decipher the genetic control underlying the resistance previously identify in P. sativum ssp. syriacum, a recombinant inbred line (RIL F8:9) population was developed. The RIL was genotyped through Diversity Arrays Technology PL’s DArTseq platform and screened under field conditions for weevil seed infestation and larval development along 5 environments. A newly integrated genetic linkage map was generated with a subset of 6,540 markers, assembled into seven linkage groups, equivalent to the number of haploid pea chromosomes. An accumulated distance of 2,503 cM was covered with an average density of 2.61 markers cM−1. The linkage map allowed the identification of three QTLs associated to reduced seed infestation along LGs I, II and IV. In addition, a QTL for reduced larval development was also identified in LGIV. Expression of these QTLs varied with the environment, being particularly interesting QTL BpSI.III that was detected in most of the environments studied. This high-saturated pea genetic map has also allowed the identification of seven potential candidate genes co-located with QTLs for marker-assisted selection, providing an opportunity for breeders to generate effective and sustainable strategies for weevil control., Thais Aznar-Fernandez was supported by a FPI fellowship from the Spanish Ministry of Economy and Competitiveness co-financed by FEDER. Financial support by Spanish projects AGL2014-52871-R and AGL2017-82907-R is acknowledged.

Powdery mildew is a barley foliar disease that causes great loss in yield. Because of the limited number of effective resistance genes, efforts to identify new sources of resistance are frequently focused on genetically diversified landraces. The goal of this study was to characterise the powdery mildew resistance gene in barley line 2553-3 selected from the Moroccan landrace. Phytopathological testing against a set of differential pathogen isolates revealed different pattern responses of this gene from those of other known resistance genes. F2 and F2:3 (2553-3 × Manchuria) mapping populations were employed to investigate resistance inheritance. Two approaches were applied for the linkage analysis: in the first approach, 22 resistant and 21 susceptible homozygous F2 plants genotyped by the DArTseq platform (Diversity Arrays Technology, Pty. Ltd.) were used; in the second, 94 F2 plants were genotyped by converted DArTseq markers and SSRs. Both analyses delineated a new resistance gene on the short arm of chromosome 2H. The authors propose MlMor as a gene symbol for newly characterized powdery mildew resistance genes in barley line 255-3-3. The results presented herein provide a good foundation for the development of closer linkage markers and MAS breeding.

Background Leaves of Poaceae have a unique morphological feature: they consist of a proximal sheath and a distal blade separated by a ligular region. The sheath provides structural support and protects young developing leaves, whereas the main function of the blade is photosynthesis. The auricles allow the blade to tilt back for optimal photosynthesis and determine the angle of a leaf, whereas the ligule protects the stem from the entry of water, microorganisms, and pests. Liguleless variants have an upright leaf blade that wraps around the culm. Research on liguleless mutants of maize and other cereals has led to identification of genes that are involved in leaf patterning and differentiation. Results We characterized an induced liguleless mutant (LM) of Aegilops tauschii Coss., a donor of genome D of bread wheat Triticum aestivum L.. The liguleless phenotype of LM is under dominant monogenic control (Lgt). To determine precise position of Lgt on the Ae. tauschii genetic map, highly saturated genetic maps were constructed containing 887 single-nucleotide polymorphism (SNP) markers derived via diversity arrays technology (DArT)seq. The Lgt gene was mapped to chromosome 5DS. Taking into account coordinates of the SNP markers, flanking Lgt, on the pseudomolecule 5D, a chromosomal region that contains this gene was determined, and a list of candidate genes was identified. Morphological features of the LM phenotype suggest that Lgt participates in the control of leaf development, mainly, in leaf proximal–distal patterning, and its dominant mutation causes abnormal ligular region but does not affect reproductive development. Conclusions Here we report characterization of a liguleless Ae. tauschii mutant, whose phenotype is under control of a dominant mutation of Lgt. The dominant mode of inheritance of the liguleless trait in a Triticeae species is reported for the first time. The position of the Lgt locus on chromosome 5DS allowed us to identify a list of candidate genes. This list does not contain Ae. tauschii orthologs of any well-characterized cereal genes whose mutations cause liguleless phenotypes. Thus, the characterized Lgt mutant represents a new model for further investigation of plant leaf patterning and differentiation. Electronic supplementary material The online version of this article (10.1186/s12870-019-1635-z) contains supplementary material, which is available to authorized users.

New leaf rust adult plant resistance (APR) QTL QLr.cim - 6BL was mapped and confirmed the known pleotropic APR gene Lr46 effect on leaf rust in durum wheat line Bairds. CIMMYT-derived durum wheat line Bairds displays an adequate level of adult plant resistance (APR) to leaf rust in Mexican field environments. A recombinant inbred line (RIL) population developed from a cross of Bairds with susceptible parent Atred#1 was phenotyped for leaf rust response at Ciudad Obregon, Mexico, during 2013, 2014, 2015 and 2016 under artificially created epidemics of Puccinia triticina (Pt) race BBG/BP. The RIL population and its parents were genotyped with the 50 K diversity arrays technology (DArT) sequence system and simple sequence repeat (SSR) markers. A genetic map comprising 1150 markers was used to map the resistance loci. Four significant quantitative trait loci (QTLs) were detected on chromosomes 1BL, 2BC (centromere region), 5BL and 6BL. These QTLs, named Lr46, QLr.cim-2BC, QLr.cim-5BL and QLr.cim-6BL, respectively, explained 13.5–60.8%, 9.0–14.3%, 2.8–13.9%, and 11.6–29.4%, respectively, of leaf rust severity variation by the inclusive composite interval mapping method. All of these resistance loci were contributed by the resistant parent Bairds, except for QLr.cim-2BC, which came from susceptible parent Atred#1. Among these, the QTL on chromosome 1BL was the known pleiotropic APR gene Lr46, whereas QLr.cim-6BL, a consistently detected locus, should be a new leaf rust resistance locus in durum wheat. The mean leaf rust severity of RILs carrying all four QTLs ranged from 8.0 to 17.5%, whereas it ranged from 10.9 to 38.5% for three QTLs (Lr46 + 5BL + 6BL) derived from the resistant parent Bairds. Two RILs with four QTLs combinations can be used as sources of complex APR in durum wheat breeding.

Seed quality for both germination in the next generation and for human consumption is adversely affected due to preharvest sprouting in peanut. It also makes seeds more vulnerable to infection by a number of pathogens. Therefore, it is desirable to have 2–3 weeks of fresh seed dormancy (FSD) in the peanut varieties. In this context, one F2 population was developed from a cross between non-dormant (ICGV 00350) and dormant (ICGV 97045) genotypes. Phenotyping of this population showed control of the trait by two recessive genes. In parallel, genotyping of the population with Diversity Arrays Technology (DArT) and DArT-seq markers provided a genetic map with 1152 loci covering a map distance of 2423.12 cM and map density of 2.96 cM/loci. Quantitative trait locus (QTL) analysis identified two major QTLs, namely qfsd-1 and qfsd-2 explaining 22.14% and 71.21% of phenotypic variation, respectively. These QTLs, after validation in different genetic backgrounds, may be useful for molecular breeding for FSD in peanut.

Intensive selection in wheat (Triticum aestivum L.) breeding programs over the past 100 years has led to a genetic bottleneck in modern bread wheat. Novel allelic variation is needed to break the yield plateau, particularly in the face of climate change and rapidly evolving pests and pathogens. Landraces preserved in seed banks likely harbour valuable sources of untapped genetic diversity because they were cultivated for thousands of years under diverse eco-geographical conditions prior to modern breeding. We performed the first genetic characterisation of bread wheat accessions sourced from the N. I. Vavilov Institute of Plant Genetic Resources (VIR) in St Petersburg, Russia. A panel comprising 295 accessions, including landraces, breeding lines and cultivars was subject to single seed descent (SSD) and genotyped using the genotyping-by-sequencing Diversity Arrays Technology platform (DArT-seq); returning a total of 34,311 polymorphic markers (14,228 mapped and 20,083 unmapped). Cluster analysis identified two distinct groups; one comprising mostly breeding lines and cultivars, and the other comprising landraces. Diversity was benchmarked in comparison to a set of standards, which revealed a high degree of genetic similarity among breeding material from Australia and the International Maize and Wheat Improvement Center (CIMMYT). Further, 11,025 markers (1888 mapped and 9137 unmapped) were polymorphic in the diversity panel only, thus representing allelic diversity potentially not present in Australian or CIMMYT germplasm. Open-access to DArT-seq markers and seed for SSD lines will empower researchers, pre-breeders and breeders to rediscover genetic diversity in the VIR collection and accelerate utilisation of novel alleles to improve wheat.

Rust, caused by the fungus Puccinia substriata var. indica, is one of the most important production constraints of pearl millet worldwide, leading to grain yield losses of up to 76 % as well as major losses in fodder yield and quality. Here, we report the development of a linkage map integrating Diversity Arrays Technology (DArT) markers and simple sequence repeat (SSR) markers, using this to identify quantitative trait loci (QTLs) for pearl millet rust resistance. Genotyping data from 256 DArT and 70 SSR markers on 168 F7 recombinant inbred lines from cross 81B-P6 × ICMP 451-P8 were used to construct a linkage map comprised of 286 loci (229 DArT and 57 SSR markers) spanning a total length of 740.3 cM (Haldane) with an average adjacent marker distance of 2.7 cM. Linkage group 7 (LG7) (153.5 cM) was the longest and LG6 the shortest (45.0 cM). The map was used to identify a major QTL for rust resistance with an LOD score of 27 on LG1, which explained 58 % of the observed phenotypic variation. In addition, two putative modifiers of small effect were detected, one each on LG4 and LG7. The novel rust resistance QTL identified on LG1 is thought to confer a durable slow-rusting phenotype, which is still effective in India more than 20 years after it was first deployed in the previously popular single-cross hybrid MH 179 (ICMH 451). The flanking markers reported here provide a framework for marker-assisted selection and possible future map-based cloning of this resistance gene.

Background The scalloped spiny lobster (Panulirus homarus) is a popular seafood commodity worldwide and an important export item from Oman. Annual catches in commercial fisheries are in serious decline, which has resulted in calls for the development of an integrated stock management approach. In Oman, the scalloped spiny lobster is currently treated as a single management unit (MU) or stock and there is an absence of information on the genetic population structure of the species that can inform management decisions, particularly at a fine-scale level. This work is the first to identify genome-wide single nucleotide polymorphisms (SNPs) for P. homarus using Diversity Arrays Technology sequencing (DArT-seq) and to elucidate any stock structure in the species. Results After stringent filtering, 7988 high utility SNPs were discovered and used to assess the genetic diversity, connectivity and structure of P. homarus populations from Al Ashkharah, Masirah Island, Duqm, Ras Madrakah, Haitam, Ashuwaymiyah, Mirbat and Dhalkut landing sites. Pairwise F ST estimates revealed low differentiation among populations (pairwise F ST range = − 0.0008 - 0.0021). Analysis of genetic variation using putatively directional F ST outliers (504 SNPs) revealed higher and significant pairwise differentiation (p

Root system architecture is fundamental to resource capture and productivity of cereal crops. Understanding the genetics modulating root development will empower plant breeders to design cultivars with optimal root systems for the target environment. Here, we investigate the genetic association between seminal root traits and yield in elite barley (Hordeum vulgare L.) germplasm. A panel of 216 breeding lines from the Northern Region Barley Breeding program in Australia, genotyped with Diversity Arrays Technology markers, were characterised for seminal root angle and number. A high degree of phenotypic variation was evident in the population, ranging from 12.0° to 89.4° and 4.8 to 6.1 for root angle and number, respectively. A quantitative trait locus for root angle (qRA-5) was detected on chromosome 5H and co-located with the previously described RAQ2. The genetic relationship between seminal root traits and yield for the panel was investigated using root phenotypes and yield data from 20 field trials. Genetic correlations with yield ranged from − 0.21 to 0.36 for root angle and from − 0.20 to 0.25 for root number. The direction and magnitude of the correlations for both root traits varied across the environments, but overall root angle was deemed more strongly associated with yield. Here we provide insight into the root phenotypes of breeding lines and deliver a first look at the genetic relationship between root architectural traits and yield in barley breeding trials.

In addition to its wide geographical distribution, osteoglossiform fishes represent one of the most ancient freshwater teleost lineages; making it an important group for systematic and evolutionary studies. These fishes had a Gondwanan origin and their past distribution may have contributed to the diversity present in this group. However, cytogenetic and genomic data are still scarce, making it difficult to track evolutionary trajectories within this order. In addition, their wide distribution, with groups endemic to different continents, hinders an integrative study that allows a globalized view of its evolutionary process. Here, we performed a detailed chromosomal analysis in Notopteridae fishes, using conventional and advanced molecular cytogenetic methods. Moreover, the genetic distances of examined species were assessed by genotyping using diversity arrays technology sequencing (DArTseq). These data provided a clear picture of the genetic diversity between African and Asian Notopteridae species, and were highly consistent with the chromosomal, geographical, and historical data, enlightening their evolutionary diversification. Here, we discuss the impact of continental drift and split of Pangea on their recent diversity, as well as the contribution to biogeographical models that explain their distribution, highlighting the role of the Indian subcontinent in the evolutionary process within the family.

The genetic resources available for the commercially important fish species Yellowtail kingfish (YTK) (Seriola lalandi) are relative sparse. To overcome this, we aimed (1) to develop a linkage map for this species, and (2) to identify markers/variants associated with economically important traits in kingfish (with an emphasis on body weight). Genetic and genomic analyses were conducted using 13,898 single nucleotide polymorphisms (SNPs) generated from a new high-throughput genotyping by sequencing platform, Diversity Arrays Technology (DArTseq (TM)) in a pedigreed population comprising 752 animals. The linkage analysis enabled to map about 4,000 markers to 24 linkage groups (LGs), with an average density of 3.4 SNPs per cM. The linkage map was integrated into a genome-wide association study (GWAS) and identified six variants/SNPs associated with body weight (P