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An excellent flushing efficiency evaluation device is indispensable for studying the cementing flushing fluid. However, the existing flushing efficiency evaluation device cannot simulate the formation and flushing process of the downhole mud cake. Therefore, this paper proposes a novel flushing efficiency evaluation device that can simulate the formation and flushing of downhole mud cakes. The rotational speed of the device during flushing and the rotor's diameter is deduced based on the principle of equal wall shear rate. The evaluation device and method can be used to quantitatively evaluate the flushing efficiency of the flushing liquid on the mud cake under high temperatures and high pressures. This device analyzed the effects of the annular gap, temperature, construction displacement, and flushing fluids on flushing efficiency. The results show that the smaller the annular gap, the higher the temperature, the larger the displacement, the higher the scouring efficiency, and the higher the shear bond strength. Fiber flushing has the dual function of mechanical and chemical flushing, so its flushing efficiency is 14.75% higher than that of heavy flushing fluid at 10 min. The surfactant in the emulsified rinse leads to a sudden increase in rinse efficiency in the middle and late stages. The reduced flushing efficiency of the flushing fluid is due to the reduced ζ potential.

Powdery mildew (PM), caused by the fungus Oidium lini in flax, can cause defoliation and reduce seed yield and quality. To date, one major dominant gene (Pm1) and three quantitative trait loci (QTL) on chromosomes 1, 7 and 9 have been reported for PM resistance. To fully dissect the genetic architecture of PM resistance and identify QTL, a diverse flax core collection of 372 accessions augmented with an additional 75 breeding lines were sequenced, and PM resistance was evaluated in the field for eight years (2010–2017) in Morden, Manitoba, Canada. Genome-wide association studies (GWAS) were performed using two single-locus and seven multi-locus statistical models with 247,160 single nucleotide polymorphisms (SNPs) and the phenotypes of the 447 individuals for each year separately as well as the means over years. A total of 349 quantitative trait nucleotides (QTNs) were identified, of which 44 large-effect QTNs (R2 = 10–30%) were highly stable over years. The total number of favourable alleles per accession was significantly correlated with PM resistance (r = 0.74), and genomic selection (GS) models using all identified QTNs generated significantly higher predictive ability (r = 0.93) than those constructed using the 247,160 genome-wide random SNP (r = 0.69), validating the overall reliability of the QTNs and showing the additivity of PM resistance in flax. The QTNs were clustered on the distal ends of all 15 chromosomes, especially on chromosome 5 (0.4–5.6 Mb and 9.4–16.9 Mb) and 13 (4.7–5.2 Mb). To identify candidate genes, a dataset of 3230 SNPs located in resistance gene analogues (RGAs) was used as input for GWAS, from which an additional 39 RGA-specific QTNs were identified. Overall, 269 QTN loci harboured 445 RGAs within the 200 Kb regions spanning the QTNs, including 45 QTNs located within the RGAs. These RGAs supported by significant QTN/SNP allele effects were mostly nucleotide binding site and leucine-rich repeat receptors (NLRs) belonging to either coiled-coil (CC) NLR (CNL) or toll interleukin-1 (TIR) NLR (TNL), receptor-like kinase (RLK), receptor-like protein kinase (RLP), transmembrane-coiled-coil (TM-CC), WRKY, and mildew locus O (MLO) genes. These results constitute an important genomic tool for resistance breeding and gene cloning for PM in flax.

Aegilops tauschii is the donor of the D subgenome of hexaploid wheat and an important genetic resource. The reference-quality genome sequence Aet v4.0 for Ae. tauschii acc. AL8/78 was therefore an important milestone for wheat biology and breeding. Further advances in sequencing acc. AL8/78 and release of the Aet v5.0 sequence assembly are reported here. Two new optical maps were constructed and used in the revision of pseudomolecules. Gaps were closed with Pacific Biosciences long-read contigs, decreasing the gap number by 38,899. Transposable elements and protein-coding genes were reannotated. The number of annotated high-confidence genes was reduced from 39,635 in Aet v4.0 to 32,885 in Aet v5.0. A total of 2245 biologically important genes, including those affecting plant phenology, grain quality, and tolerance of abiotic stresses in wheat, was manually annotated and disease-resistance genes were annotated by a dedicated pipeline. Disease-resistance genes encoding nucleotide-binding site domains, receptor-like protein kinases, and receptor-like proteins were preferentially located in distal chromosome regions, whereas those encoding transmembrane coiled-coil proteins were dispersed more evenly along the chromosomes. Discovery, annotation, and expression analyses of microRNA (miRNA) precursors, mature miRNAs, and phasiRNAs are reported, including miRNA target genes. Other small RNAs, such as hc-siRNAs and tRFs, were characterized. These advances enhance the utility of the Ae. tauschii genome sequence for wheat genetics, biotechnology, and breeding.

Genomes of varying sizes have been sequenced with next-generation sequencing platforms. However, most reference sequences include draft unordered scaffolds containing chimeras caused by mis-scaffolding. A BioNano genome (BNG) optical map was constructed to improve the previously sequenced flax genome (Linum usitatissimum L., 2n = 30, about 373 Mb), which consisted of 3852 scaffolds larger than 1 kb and totalling 300.6 Mb. The high-resolution BNG map of cv. CDC Bethune totalled 317 Mb and consisted of 251 BNG contigs with an N50 of 2.15 Mb. A total of 622 scaffolds (286.6 Mb, 94.9%) aligned to 211 BNG contigs (298.6 Mb, 94.2%). Of those, 99 scaffolds, diagnosed to contain assembly errors, were refined into 225 new scaffolds. Using the newly refined scaffold sequences and the validated bacterial artificial chromosome-based physical map of CDC Bethune, the 211 BNG contigs were scaffolded into 94 super-BNG contigs (N50 of 6.64 Mb) that were further assigned to the 15 flax chromosomes using the genetic map. The pseudomolecules total about 316 Mb, with individual chromosomes of 15.6 to 29.4 Mb, and cover 97% of the annotated genes. Evidence from the chromosome-scale pseudomolecules suggests that flax has undergone palaeopolyploidization and mesopolyploidization events, followed by rearrangements and deletions or fusion of chromosome arms from an ancient progenitor with a haploid chromosome number of eight.

Crested wheatgrass [Agropyron cristatum L. (Gaertn.)] is an important cool-season forage grass widely used for early spring grazing. However, the genomic resources for this non-model plant are still lacking. Our goal was to generate the first set of next generation sequencing data using the genotyping-by-sequencing technique. A total of 272 crested wheatgrass plants representing seven breeding lines, five cultivars and five geographically diverse accessions were sequenced with an Illumina MiSeq instrument. These sequence datasets were processed using different bioinformatics tools to generate contigs for diploid and tetraploid plants and SNPs for diploid plants. Together, these genomic resources form a fundamental basis for genomic studies of crested wheatgrass and other wheatgrass species. The raw reads were deposited into Sequence Read Archive (SRA) database under NCBI accession SRP115373 (https://www.ncbi.nlm.nih.gov/sra?term=SRP115373) and the supplementary datasets are accessible in Figshare (10.6084/m9.figshare.5345092). Keywords: Crested wheatgrass, Genotyping-by-sequencing, Diploid, Tetraploid, Raw sequence data

A combination of advanced sequencing and mapping techniques is used to produce a reference genome of Aegilops tauschii, progenitor of the wheat D genome, providing a valuable resource for comparative genetic studies. Supplementary information The online version of this article (doi:10.1038/nature24486) contains supplementary material, which is available to authorized users., Genome of common wheat ancestor Sequencing the genomes of crops plants provides useful resources for crop improvement and breeding. Jan Dvořák, Katrien Devos, Steven Salzberg and colleagues report a reference genome for Aegilops tauschii, the diploid progenitor of the D genome of hexaploid wheat. They use a combination of ordered-clone genome sequencing, whole-genome shotgun sequencing and BioNano optical genome mapping to assemble this large and highly repetitive genome. This provides a useful resource for comparative genomics studies of wheat. Supplementary information The online version of this article (doi:10.1038/nature24486) contains supplementary material, which is available to authorized users., Aegilops tauschii is the diploid progenitor of the D genome of hexaploid wheat1 (Triticum aestivum, genomes AABBDD) and an important genetic resource for wheat2,3,4. The large size and highly repetitive nature of the Ae. tauschii genome has until now precluded the development of a reference-quality genome sequence5. Here we use an array of advanced technologies, including ordered-clone genome sequencing, whole-genome shotgun sequencing, and BioNano optical genome mapping, to generate a reference-quality genome sequence for Ae. tauschii ssp. strangulata accession AL8/78, which is closely related to the wheat D genome. We show that compared to other sequenced plant genomes, including a much larger conifer genome, the Ae. tauschii genome contains unprecedented amounts of very similar repeated sequences. Our genome comparisons reveal that the Ae. tauschii genome has a greater number of dispersed duplicated genes than other sequenced genomes and its chromosomes have been structurally evolving an order of magnitude faster than those of other grass genomes. The decay of colinearity with other grass genomes correlates with recombination rates along chromosomes. We propose that the vast amounts of very similar repeated sequences cause frequent errors in recombination and lead to gene duplications and structural chromosome changes that drive fast genome evolution. Supplementary information The online version of this article (doi:10.1038/nature24486) contains supplementary material, which is available to authorized users.

Chloroplast (cp) genomics will play an important role in the characterization of crop wild relative germplasm conserved in worldwide gene banks, thanks to the advances in genome sequencing. We applied a multiplexed shotgun sequencing procedure to sequence the cp genomes of 25 Avena species with variable ploidy levels. Bioinformatics analysis of the acquired sequences generated 25 de novo genome assemblies ranging from 135,557 to 136,006 bp. The gene annotations revealed 130 genes and their duplications, along with four to six pseudogenes, for each genome. Little differences in genome structure and gene arrangement were observed across the 25 species. Polymorphism analyses identified 1313 polymorphic sites and revealed an average of 277 microsatellites per genome. Greater nucleotide diversity was observed in the short single-copy region. Genome-wide scanning of selection signals suggested that six cp genes were under positive selection on some amino acids. These research outputs allow for a better understanding of oat cp genomes and evolution, and they form an essential set of cp genomic resources for the studies of oat evolutionary biology and for oat wild relative germplasm characterization.

In plants, microRNA (miRNA) functions in the post-transcriptional repression of target mRNAs have been well explored. However, the mechanisms regulating the accumulation of miRNAs remain poorly understood. Here, we report that distinct mechanisms regulate accumulation of a monocot-specific miRNA, rice (Oryza sativa) miR528. At the transcriptional level, miR528 accumulated to higher levels in older plants than in young seedlings and exhibited aging-modulated gradual accumulation and diurnal rhythms in leaves; at the post-transcriptional level, aging also modulated miR528 levels by enhancing pri-miR528 alternative splicing. We found that miR528 promotes rice flowering under long-day conditions by targeting RED AND FAR-RED INSENSITIVE 2 (OsRFI2). Moreover, natural variations in the MIR528 promoter region caused differences in miR528 expression among rice varieties, which are correlated with their different binding affinities with the transcription factor OsSPL9 that activates the expression of miR528. Taken together, our findings reveal rice plants have evolved sophisticated modes fine-tuning miR528 levels and provide insight into the mechanisms that regulate MIRNA expression in plants.

Pasmo (Septoria linicola) is a fungal disease causing major losses in seed yield and quality and stem fibre quality in flax. Pasmo resistance (PR) is quantitative and has low heritability. To improve PR breeding efficiency, the accuracy of genomic prediction (GP) was evaluated using a diverse worldwide core collection of 370 accessions. Four marker sets, including three defined by 500, 134 and 67 previously identified quantitative trait loci (QTL) and one of 52,347 PR-correlated genome-wide single nucleotide polymorphisms, were used to build ridge regression best linear unbiased prediction (RR-BLUP) models using pasmo severity (PS) data collected from field experiments performed during five consecutive years. With five-fold random cross-validation, GP accuracy as high as 0.92 was obtained from the models using the 500 QTL when the average PS was used as the training dataset. GP accuracy increased with training population size, reaching values &gt, 0.9 with training population size greater than 185. Linear regression of the observed PS with the number of positive-effect QTL in accessions provided an alternative GP approach with an accuracy of 0.86. The results demonstrate the GP models based on marker information from all identified QTL and the 5-year PS average is highly effective for PR prediction.

Pasmo is one of the most widespread diseases threatening flax production. To identify genetic regions associated with pasmo resistance (PR), a genome-wide association study was performed on 370 accessions from the flax core collection. Evaluation of pasmo severity was performed in the field from 2012 to 2016 in Morden, MB, Canada. Genotyping-by-sequencing has identified 258,873 single nucleotide polymorphisms (SNPs) distributed on all 15 flax chromosomes. Marker-trait associations were identified using ten different statistical models. A total of 692 unique quantitative trait nucleotides (QTNs) associated with 500 putative quantitative trait loci (QTL) were detected from six phenotypic PR datasets (five individual years and average across years). Different QTNs were identified with various statistical models and from individual PR datasets, indicative of the complementation between analytical methods and/or genotype × environment interactions of the QTL effects. The single-locus models tended to identify large-effect QTNs while the multi-loci models were able to detect QTNs with smaller effects. Among the putative QTL, 67 had large effects (3-23%), were stable across all datasets and explained 32-64% of the total variation for PR in the various datasets. Forty-five of these QTL spanned 85 resistance gene analogs including a large toll interleukin receptor, nucleotide-binding site, leucine-rich repeat (TNL) type gene cluster on chromosome 8. The number of QTL with positive-effect or favorite alleles (NPQTL) in accessions was significantly correlated with PR (R2 = 0.55), suggesting that these QTL effects are mainly additive. NPQTL was also significantly associated with morphotype (R2 = 0.52) and major QTL with positive effect alleles were present in the fiber type accessions. The 67 large effect QTL are suited for marker-assisted selection and the 500 QTL for effective genomic prediction in PR molecular breeding.

A genome-wide association study (GWAS) was performed on a set of 260 lines which belong to three different bi-parental flax mapping populations. These lines were sequenced to an averaged genome coverage of 19&times, using the Illumina Hi-Seq platform. Phenotypic data for 11 seed yield and oil quality traits were collected in eight year/location environments. A total of 17,288 single nucleotide polymorphisms were identified, which explained more than 80% of the phenotypic variation for days to maturity (DTM), iodine value (IOD), palmitic (PAL), stearic, linoleic (LIO) and linolenic (LIN) acid contents. Twenty-three unique genomic regions associated with 33 quantitative trait loci (QTL) for the studied traits were detected, thereby validating four genomic regions previously identified. The 33 QTL explained 48&ndash, 73% of the phenotypic variation for oil content, IOD, PAL, LIO and LIN but only 8&ndash, 14% for plant height, DTM and seed yield. A genome-wide selective sweep scan for selection signatures detected 114 genomic regions that accounted for 7.82% of the flax pseudomolecule and overlapped with the 11 GWAS-detected genomic regions associated with 18 QTL for 11 traits. The results demonstrate the utility of GWAS combined with selection signatures for dissection of the genetic structure of traits and for pinpointing genomic regions for breeding improvement.

Plants have developed effective mechanisms to recognize and respond to infections caused by pathogens. Plant resistance gene analogs (RGAs), as resistance (R) gene candidates, have conserved domains and motifs that play specific roles in pathogens’ resistance. Well-known RGAs are nucleotide binding site leucine rich repeats, receptor like kinases, and receptor like proteins. Others include pentatricopeptide repeats and apoplastic peroxidases. RGAs can be detected using bioinformatics tools based on their conserved structural features. Thousands of RGAs have been identified from sequenced plant genomes. High-density genome-wide RGA genetic maps are useful for designing diagnostic markers and identifying quantitative trait loci (QTL) or markers associated with plant disease resistance. This review focuses on recent advances in structures and mechanisms of RGAs, and their identification from sequenced genomes using bioinformatics tools. Applications in enhancing fine mapping and cloning of plant disease resistance genes are also discussed.

To target chemotherapy to tumor vascular endothelial cells (TVECs), we created the AdTie2RprCDFib(knob-RGD+) vector by inserting into an AdEasy adenoviral vector (Ad) backbone: (i) the cytosine deaminase (CD) gene driven by the Tie2 receptor promoter (Tie2Rpr) into the E1 region of Ad; (ii) mutations that reduce binding of the fiber knob to the Coxsackie adenovirus receptor (CAR); and (iii) the RGD peptide into the H1 loop of fiber for binding to the alpha(V)beta(3) integrin receptors on TVECs. To reduce uptake of the AdTie2RprCDFib(knob-RGD+) by reticuloendothelial (RE) and liver cells, we intravenously (i.v.) injected Hetastarch and low-dose Ad (one million vector particles (VPs)) prior to i.v. injection of a therapeutic dose (one billion VPs) of the AdTie2RprCDFib(knob-RGD+) vector. This treatment induced regressions of N202 breast cancer and B16 melanoma without toxicity to normal tissues. We showed that the tumor regression was induced by infection of the TVECs and not by the infection of tumor cells by the AdTie2RprCDFib(knob-RGD+) vector.

MicroRNAs (miRNAs) and small interfering RNAs (siRNAs) regulate gene expression in eukaryotes. Plant miRNAs modulate their targets mainly via messenger RNA (mRNA) cleavage. Small RNA (sRNA) targets have been extensively investigated in Arabidopsis using computational prediction, experimental validation, and degradome sequencing. However, small RNA targets are largely unknown in rice (Oryza sativa). Here, we report global identification of small RNA targets using high throughput degradome sequencing in the rice indica cultivar 93–11 (Oryza sativa L. ssp. indica). One hundred and seventy-seven transcripts targeted by a total of 87 unique miRNAs were identified. Of targets for the conserved miRNAs between Arabidopsis and rice, transcription factors comprise around 70% (58 in 82), indicating that these miRNAs act as masters of gene regulatory nodes in rice. In contrast, non-conserved miRNAs targeted diverse genes which provide more complex regulatory networks. In addition, 5 AUXIN RESPONSE FACTORs (ARFs) cleaved by the TAS3 derived ta-siRNAs were also detected. A total of 40 sRNA targets were further validated via RNA ligasemediated 5’ rapid amplification of cDNA ends (RLM 5’-RACE). Our degradome results present a detailed sRNA-target interaction atlas, which provides a guide for the study of the roles of sRNAs and their targets in rice.

In this study, microarray technique was employed to analyze the gene expression at the RNA level between haploids and corresponding diploids derived from a rice twin-seedling line SARII-628. Different degrees of expression variations were observed in the plant after haploidization. The main results are as follows: (1) after haploidization, the ratio of the sensitive loci was 2.47% of the total loci designed on chip. Those loci were randomly distributed on the 12 pairs of rice chromosomes and the activated loci were more than the silenced ones. (2) Gene clusters on chromosome were observed for 33 sequences. (3) GoPipe function classification for 575 sensitive loci revealed an involvement in the biological process, cell component and molecular function. (4) RT-PCR generally validated the result from microarray with a coincidence rate of 83.78%. And for the randomly-selected activated or silenced loci in chip analysis, the coincidence rate was up to 91.86%.

MicroRNAs (miRNAs) are key regulators of plant-pathogen interactions. Modulating miRNA function has emerged as a new strategy to produce virus resistance traits1-5. However, the miRNAs involved in antiviral defence and the underlying mechanisms remain largely elusive. We previously demonstrated that sequestration by Argonaute (AGO) proteins plays an important role in regulating miRNA function in antiviral defence pathways6. Here we reveal that cleavage-defective AGO18 complexes sequester microRNA528 (miR528) upon viral infection. We show that miR528 negatively regulates viral resistance in rice by cleaving L-ascorbate oxidase (AO) messenger RNA, thereby reducing AO-mediated accumulation of reactive oxygen species. Upon viral infection, miR528 becomes preferentially associated with AGO18, leading to elevated AO activity, higher basal reactive oxygen species accumulation and enhanced antiviral defence. Our findings reveal a mechanism in which antiviral defence is boosted through suppression of an miRNA that negatively regulates viral resistance. This mechanism could be manipulated to engineer virus-resistant crop plants.

Additional web user interface pages of RGAugury. (A) The Status of Submitted Projects page. (B) Gene and domain structure page for an identified RGA. Detailed information is included in a spreadsheet result file. External links to NCBI and EnsemblPlants are indicated with their respective website logo. (C) RGA distribution on chromosomes. NBS encoding, RLP, RLK and TM-CC RGAs are represented by different color bars. ALL represents a combined RGA distribution figure for the merged data of all four RGA families. (PPTX 359Â kb)

Background Mutations often accompany DNA replication. Since there may be fewer cell cycles per year in the germlines of long-lived than short-lived angiosperms, the genomes of long-lived angiosperms may be diverging more slowly than those of short-lived angiosperms. Here we test this hypothesis. Results We first constructed a genetic map for walnut, a woody perennial. All linkage groups were short, and recombination rates were greatly reduced in the centromeric regions. We then used the genetic map to construct a walnut bacterial artificial chromosome (BAC) clone-based physical map, which contained 15,203 exonic BAC-end sequences, and quantified with it synteny between the walnut genome and genomes of three long-lived woody perennials, Vitis vinifera, Populus trichocarpa, and Malus domestica, and three short-lived herbs, Cucumis sativus, Medicago truncatula, and Fragaria vesca. Each measure of synteny we used showed that the genomes of woody perennials were less diverged from the walnut genome than those of herbs. We also estimated the nucleotide substitution rate at silent codon positions in the walnut lineage. It was one-fifth and one-sixth of published nucleotide substitution rates in the Medicago and Arabidopsis lineages, respectively. We uncovered a whole-genome duplication in the walnut lineage, dated it to the neighborhood of the Cretaceous-Tertiary boundary, and allocated the 16 walnut chromosomes into eight homoeologous pairs. We pointed out that during polyploidy-dysploidy cycles, the dominant tendency is to reduce the chromosome number. Conclusion Slow rates of nucleotide substitution are accompanied by slow rates of synteny erosion during genome divergence in woody perennials. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1906-5) contains supplementary material, which is available to authorized users.

MicroRNAs (miRNAs) and small interfering RNAs (siRNAs) are two types of noncoding RNAs involved in developmental regulation, genome maintenance, and defense in eukaryotes. The activity of Dicer or Dicer-like (DCL) proteins is required for the maturation of miRNAs and siRNAs. In this study, we cloned and sequenced 66 candidate rice (Oryza sativa) miRNAs out of 1,650 small RNA sequences (19 to approximately 25 nt), and they could be further grouped into 21 families, 12 of which are newly identified and three of which, OsmiR528, OsmiR529, and OsmiR530, have been confirmed by northern blot. To study the function of rice DCL proteins (OsDCLs) in the biogenesis of miRNAs and siRNAs, we searched genome databases and identified four OsDCLs. An RNA interference approach was applied to knock down two OsDCLs, OsDCL1 and OsDCL4, respectively. Strong loss of function of OsDCL1IR transformants that expressed inverted repeats of OsDCL1 resulted in developmental arrest at the seedling stage, and weak loss of function of OsDCL1IR transformants caused pleiotropic developmental defects. Moreover, all miRNAs tested were greatly reduced in OsDCL1IR but not OsDCL4IR transformants, indicating that OsDCL1 plays a critical role in miRNA processing in rice. In contrast, the production of siRNA from transgenic inverted repeats and endogenous CentO regions were not affected in either OsDCL1IR or OsDCL4IR transformants, suggesting that the production of miRNAs and siRNAs is via distinct OsDCLs.

Small RNAs are a class of non-coding RNAs that are of great importance in gene expression regulatory networks. Different families of small RNAs are generated via distinct biogenesis pathways. One such family specific to plants is that of phased, secondary siRNAs (phasiRNAs); these require RDR6, DCL4, and (typically) a microRNA (miRNA) trigger for their biogenesis. Protein-encoding genes are an important source of phasi-RNAs. The model legume Medicago truncatula generates phasiRNAs from many PHAS loci, and we aimed to investigate their biogenesis and mechanism by which miRNAs trigger these molecules. We modulated miRNA abundances in transgenic tissues showing that the abundance of phasiRNAs correlates with the levels of both miRNA triggers and the target, precursor transcripts. We identified sets of phasiRNAs or PHAS loci that predominantly and substantially increase in response to miRNA overexpression. In the process of validating targets from miRNA overexpression tissues, we found that in the miRNA-mRNA target pairing, the 3' terminal nucleotide (the 22nd position), but not the 10th position, is important for phasiRNA production. Mutating the single 3' terminal nucleotide dramatically diminishes phasiRNA production. Ectopic expression of Medicago NB-LRR-targeting miRNAs in Arabidopsis showed that only a few NB-LRRs are capable of phasiRNA production; our data indicate that this might be due to target inaccessibility determined by sequences flanking target sites. Our results suggest that target accessibility is an important component in miRNA-target interactions that could be utilized in target prediction, and the evolution of mRNA sequences flanking miRNA-target sites may be impacted.

Characteristics and locations of gaps larger than 8Â cM in the 16 walnut linkage groups. (DOCX 16.2 kb)

Graphical presentation of 16 walnut linkage groups. (PDF 1.09 mb)

Numbers and percentages of walnut cdBES collinear with genes in the grape and poplar pseudomolecules located in SBs duplicated in the walnut genome. (DOCX 19.0 kb)

Graphs of recombination rates across 15 of the 16 walnut physical maps. We indicate the location of synteny gap on each physical map as a thick horizontal bar. (PDF 311 kb)

Pairs of syntelogs and their annotations used for estimation of Ks. (DOCX 16.3 kb)

Flax (Linum usitatissimum L.) is an important crop with many characteristic features such as its abundant essential ω-3 fatty acids for human nutrition. Fatty acid (FA) biosynthesis in plants, including flax, involves several consecutive steps governed by different gene families. Using in silico gene mining and comparative analysis, genome-wide gene identification and characterization were performed for six gene families related to FA biosynthesis, including KAS, SAD, FAD, KCS and FAT. We identified 91 FA-related genes from flax cv. CDC Bethune genome, from which seven previously cloned genes were validated. The newly identified 84 FA-related genes include 14 novel genes from the KAS family, two from the SAD family, 13 from the FAD2 family, three from the FAD3 family, 38 from the KCS family and 14 from the FAT family. Out of the 91 genes identified, 88 were duplicated as a consequence of recent whole genome duplication events, in which 13 FAD2 genes were hypothesized to have evolved from tandem gene duplication events followed by a whole genome duplication event and, more recently, by a single gene deletion. The six gene families described here are highly conserved in plants and have diverged anciently. These newly identified flax genes will be a useful resource for further research on FA gene cloning and expression, QTL identification, marker development and marker-assisted selection.

This paper reported the experimental results of ion current under different temperatures and relative humidity using long range alpha detector (LRAD). An approximation relation between the measuring values, temperatures and relative humidity has been obtained using the linear multiple regression method. The experimental results have shown that the measuring values decrease with the increase of temperature and humidity. The influence of humidity on results outweighs that of temperatures. And both temperature and humidity are obviously negative correlated with measured values. Further experiments will be performed to confirm the coupling effects of temperature and humidity and reported later.

The analysis of cytosine methylation provides a new way to assess and describe epigenetic regulation at a whole-genome level in many eukaryotes. DNA methylation has a demonstrated role in the genome stability and protection, regulation of gene expression and many other aspects of genome function and maintenance. BS-seq is a relatively unbiased method for profiling the DNA methylation, with a resolution capable of measuring methylation at individual cytosines. Here we describe, as an example, a workflow to handle DNA methylation analysis, from BS-seq library preparation to the data visualization. We describe some applications for the analysis and interpretation of these data. Our laboratory provides public access to plant DNA methylation data via visualization tools available at our "Next-Gen Sequence" websites (http://mpss.udel.edu), along with small RNA, RNA-seq and other data types.

Higher plants have evolved multiple RNA-dependent RNA polymerases (RDRs), which work with Dicer-like (DCL) proteins to produce different classes of small RNAs with specialized molecular functions. Here we report that OsRDR6, the rice (Oryza sativa L.) homolog of Arabidopsis RDR6, acts in the biogenesis of various types and sizes of small RNAs. We isolated a rice osrdr6-1 mutant, which was temperature sensitive and showed spikelet defects. This mutant displays reduced accumulation of tasiR-ARFs, the conserved trans-acting siRNAs (tasiRNAs) derived from the TAS3 locus, and ectopic expression of tasiR-ARF target genes, the Auxin Response Factors (including ARF2 and ARF3/ETTIN). The loss of tasiR-mediated repression of ARFs in osrdr6-1 can explain its morphological defects, as expression of two non-targeted ARF3 gene constructs (ARF3muts) in a wild-type background mimics the osrdr6 and osdcl4-1 mutant phenotypes. Small RNA high-throughput sequencing also reveals that besides tasiRNAs, 21-nucleotide (nt) phased small RNAs are also largely dependent on OsRDR6. Unexpectedly, we found that osrdr6-1 has a strong impact on the accumulation of 24-nt phased small RNAs, but not on unphased ones. Our work uncovers the key roles of OsRDR6 in small RNA biogenesis and directly illustrates the crucial functions of tasiR-ARFs in rice development.

The discovery of short, non-protein-coding RNA molecules have revolutionized our understanding of the function of RNA molecules. Plant small RNAs such as microRNA and small-interfering RNA are usually 18–25 nucleotides long and play important regulatory roles in biological processes including the maintenance of genome integrity, developmental transitions and patterning, and responses to abiotic and biotic stresses. Although highly diversified in their biogenesis pathways, target sequences and targeting mechanisma, and in their degree of conservation among species, small RNA provides versatile and flexible epigenetic regulation with great specificity. In this chapter, we introduce the types of plant small RNAs, their biogenesis pathways, and their regulatory roles in biological processes. We also discuss recent advances in understanding the mechanisms of small RNA-directed gene silencing. Lastly, we discuss the origins and evolution of small RNAs, including a current model for small RNA biogenesis and evolution.

In this paper a novel robust reinforcement learning control based on IQC (Integral quadratic constraints) and PSO(RRLCIP) is presented, the RRLCIP utilizes a adaptive critic to estimate the decoupling performance, a neural network to generate the decoupling action, and a PI controller to control the plant after decoupling. By replacing nonlinear and time-varying aspects of a neural network with uncertainties, a robust reinforcement learning procedure results that is guaranteed to remain stable even as the neural network is being trained and solve the local minima problem, by making use of the global optimization capability of PSO, performance can be improved through the use of learning. The RRLCIP utilize a plant model to accelerate the convergence speed. Proposed RRLCIP control strategy can not only find the good performance, but also avoid of unstable behavior at learning. The simulation results for control system of collector gas pressure of coke ovens shows its validity.

Higher plants have evolved multiple proteins in the RNase III family to produce and regulate different classes of small RNAs with specialized molecular functions. In rice (Oryza sativa), numerous genomic clusters are targeted by one of two microRNAs (miRNAs), miR2118 and miR2275, to produce secondary small interfering RNAs (siRNAs) of either 21 or 24 nucleotides in a phased manner. The biogenesis requirements or the functions of the phased small RNAs are completely unknown. Here we examine the rice Dicer-Like (DCL) family, including OsDCL1, -3a, -3b and -4. By deep sequencing of small RNAs from different tissues of the wild type and osdcl4-1, we revealed that the processing of 21-nucleotide siRNAs, including trans-acting siRNAs (tasiRNA) and over 1000 phased small RNA loci, was largely dependent on OsDCL4. Surprisingly, the processing of 24-nucleotide phased small RNA requires the DCL3 homolog OsDCL3b rather than OsDCL3a, suggesting functional divergence within DCL3 family. RNA ligase-mediated 5' rapid amplification of cDNA ends and parallel analysis of RNA ends (PARE)/degradome analysis confirmed that most of the 21- and 24-nucleotide phased small RNA clusters were initiated from the target sites of miR2118 and miR2275, respectively. Furthermore, the accumulation of the two triggering miRNAs requires OsDCL1 activity. Finally, we show that phased small RNAs are preferentially produced in the male reproductive organs and are likely to be conserved in monocots. Our results revealed significant roles of OsDCL4, OsDCL3b and OsDCL1 in the 21- and 24-nucleotide phased small RNA biogenesis pathway in rice.