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High-molecular-weight glutenin subunits (HMW-GSs) are the most critical grain storage proteins that determine the unique processing qualities of wheat. Although it is a part of the superior HMW-GS pair (Dx5+Dy10), the contribution of the Dy10 subunit to wheat processing quality remains unclear. In this study, we elucidated the effect of Dy10 on wheat processing quality by generating and analyzing a deletion mutant (with the Dy10-nullallele), and by elucidating the changes to wheat flour following the incorporation of purified Dy10. The Dy10-nullallele was transcribed normally, but the Dy10 subunit was lacking. These findings implied that the Dy10-nullallele reduced the glutenin:gliadin ratio and negatively affected dough strength (i.e., Zeleny sedimentation value, gluten index, and dough development and stability times) and the bread-making quality; however, it positively affected the biscuit-making quality. The incorporation of various amounts of purified Dy10 into wheat flour had a detrimental effect on biscuit-making quality. The results of this study demonstrate that the Dy10 subunit is essential for maintaining wheat dough strength. Furthermore, the Dy10-nullallele may be exploited by soft wheat breeding programs.

Understanding the genetic basis of quality-related traits contributes to the improvement of grain protein concentration (GPC), grain starch concentration (GSC), and wet gluten concentration (WGC) in wheat. In this study, a genome-wide association study (GWAS) based on a mixed linear model (MLM) was performed on 236 wheat accessions, including 160 cultivars and 76 landraces, using a 55K single nucleotide polymorphism (SNP) array in multiple environments. A total of 12 stable QTL/SNPs that control different quality traits in this populations in at least two environments under stripe rust stress were identified. Among these 12, three, seven and two QTLs associated with GPC, GSC and WGC were characterized, respectively, and they were located on chromosomes (chr) 1B, 1D, 2A, 2B, 2D, 3B, 3D, 5D, and 7D with the phenotypic variation explained (PVE) ranging from 4.2 to 10.7%. Compared with the previously reported QTLs/genes, five QTLs (QGsc.sicau-1BL, QGsc.sicau-1DS, QGsc.sicau-2DL.1, QGsc.sicau-2DL.2, and QWgc.sicau-5DL) were potentially novel. KASP markers for the SNPs AX-108770574and AX-108791420on chr5D associated with wet gluten concentration were successfully developed. The phenotypes of the cultivars containing the A-allele in AX-108770574and the T-allele in AX-108791420were extremely significantly (P<0.01) higher than those of the landraces containing the G- or C-allele with respect to the wet gluten concentration in each of the environments. The KASP markers developed and validated in this study could be utilized in molecular breeding aimed at improving the quality of wheat.

Uppermost-internode diameter (UID) is a key morphological trait associated with spike development and yield potential in wheat. Our understanding of its genetic basis remains largely unknown. Here, quantitative trait loci (QTLs) for UID with high-density genetic maps were identified in five wheat recombinant inbred line (RIL) populations. In total, 25 QTLs for UID were detected in five RIL populations, and they were located on chromosomes 1A, 1D (3 QTL), 2B (2), 2D (3), 3B, 3D, 4A, 4B (3), 4D, 5A (5), 5B (2), 6B, and 7D. Of them, five major and stable QTLs (QUid.sau-2CN-1D.1, QUid.sau-2SY-1D, QUid.sau-QZ-2D, QUid.sau-SC-3D,and QUid.sau-AS-4B) were identified from each of the five RIL populations in multiple environments. QUid.sau-2CN-1D.1, QUid.sau-2SY-1Dand QUid.sau-SC-3Dare novel QTLs. Kompetitive Allele Specific PCR (KASP) markers tightly linked to them were further investigated for developing near-isogenic lines (NILs) carrying the major loci. Furthermore, candidate genes at these intervals harboring major and stable QTLs were predicted, and they were associated with plant development and water transportation in most cases. Comparison of physical locations of the identified QTL on the ‘Chinese Spring’ reference genome showed that several QTLs including two major ones, QUid.sau-2CN-1D.1and QUid.sau-2SY-1D,are likely allelic confirming their validity and effectiveness. The significant relationships detected between UID and other agronomic traits and a proper UID were discussed. Collectively, our results dissected the underlying genetic basis for UID in wheat and laid a foundation for further fine mapping and map-based cloning of these QTLs.

Synthetic hexaploid wheat (SHW), possesses numerous genes for drought that can help breeding for drought-tolerant wheat varieties. We evaluated 10 root traits at seedling stage in 111 F9recombinant inbred lines derived from a F2population of a SHW line (SHW-L1) and a common wheat line, under normal (NC) and polyethylene glycol-simulated drought stress conditions (DC). We mapped quantitative trait loci (QTLs) for root traits using an enriched high-density genetic map containing 120370 single nucleotide polymorphisms (SNPs), 733 diversity arrays technology markers (DArT) and 119 simple sequence repeats (SSRs). With four replicates per treatment, we identified 19 QTLs for root traits under NC and DC, and 12 of them could be consistently detected with three or four replicates. Two novel QTLs for root fresh weight and root diameter under NC explained 9 and 15.7% of the phenotypic variation respectively, and six novel QTLs for root fresh weight, the ratio of root water loss, total root surface area, number of root tips, and number of root forks under DC explained 8.5–14% of the phenotypic variation. Here seven of eight novel QTLs could be consistently detected with more than three replicates. Results provide essential information for fine-mapping QTLs related to drought tolerance that will facilitate breeding drought-tolerant wheat cultivars.

Salicylic acid (SA), a vital endogenous hormone, plays a crucial role in plant growth and the response to abiotic and biotic stress. Isochorismate synthase (ICS) and phenylalanine ammonia lyase (PAL) are critical rate-limiting enzymes for SA synthesis. Fusarium head blight (FHB) seriously threatens the safety of wheat production, but increasing the content of SA can enhance FHB resistance. However, the pathway of SA synthesis and regulation in wheat remains unknown. In this study, three wheat ICS(TaICSA, TaICSB, and TaICSD) were identified, and their functions were validated in vitrofor isomerizing chorismate to isochorismate. The mutation of one or two homoeoalleles of TaICSA, TaICSB, and TaICSDin the wheat variety ‘Cadenza’ reduced SA levels under ultraviolet treatment and Fusarium graminearuminfection, further enhancing sensitivity to FHB. Overexpression of TaICSAcan significantly enhance SA levels and resistance to FHB. To further study SA synthesis pathways in wheat and avoid interference with pathogenicity related genes, the leaves of wild-type Cadenza and different TaICS mutant lines were subjected to ultraviolet treatment for transcriptomic analysis. The results showed that 37 PALsmight be involved in endogenous SA synthesis, and 82 WRKY and MYB family transcription factors may regulate the expression of ICSand PAL. These results were further confirmed by RT-PCR. In conclusion, this study expands our knowledge of SA biosynthesis and identifies TaICSA, as well as several additional candidate genes that encode transcription factors for regulating endogenous SA levels, as part of an efficient strategy for enhancing FHB resistance in wheat.

Starch biosynthesis is a complex process that relies on the coordinated action of multiple enzymes. Resistant starch is not digested in the small intestine, thus preventing the rapid rise of the glycemic index. Starch synthase 2a (SS2a), a key enzyme in amylopectin biosynthesis, has significant effects on starch structure and properties. In this study, we identified an ss2anull mutant (M3-1413) with a single base mutation from an ethyl methane sulfonate (EMS)-mutagenized population of barley. The mutation was located at the 3´ end of the first intron of the RNA splicing receptor (AG) site, resulting in abnormal RNA splicing and two abnormal transcripts of ss2a, which caused the inactivation of the SS2agene. The starch structure and properties were significantly altered in the mutant, with M3-1413 containing decreased total starch and increased amylose and resistant starch levels. This study sheds light the effect of barley ss2anull mutations on starch properties and helps to guide new applications of barley starch to develop nutritious food products.

Tibetan semiwild wheat (Triticum aestivumssp. tibetanumShao) is a primitive hexaploid wheat resource found in Tibet. It is characterized by tolerance to nutrition deficiency and strong seed dormancy and has potential to be useful in wheat breeding programs. To tap the advantages of Tibetan semiwild wheat in wheat breeding, we investigated nine agronomic traits including heading date (HD), anthesis date (AD), plant height (PHT), tiller number (TN), spike length (SL), spikelet number per spike (SNS), spikelet density (DS), grain weight per spike (GWS), and 1000‐grain weight (TGW) in 186 recombinant inbred lines from a cross between Tibetan semiwild wheat ‘Q1028’ and common wheat ‘Zhengmai 9023’ (ZM 9023) across three growing seasons. Forty‐five qualitative trait loci (QTLs) on 12 chromosomes were detected. The phenotypic variation explained by each of these QTL ranged from 4.7 to 29.7%. Positive alleles for 28 of these QTLs were derived from Q1028. Of these QTLs, 25 (56%) were detected in at least two growing seasons. Fifteen stable QTLs that were significant across all three growing seasons were identified. Novel QTLs derived from Q1028 were identified, such as QSd.sau‐7Afor spikelet density, QTgw.sau‐2B for TGW and QSns.sau‐3Dfor SNS. Eleven QTL clusters were detected, including one on chromosome 5A flanked by the markers wPt‐9094and wPt‐9513. This cluster consists of QTLs controlling HD, AN, PHT, SL, and spikelet density and explained 6.6 to 12.6% of the phenotypic variation in these traits. The QTLs and molecular markers identified here could be useful in fine mapping and breeding programs.

Increasing wheat yield is a long-term goal for wheat breeders across the globe. Exploiting elite genetic resources and dissecting the genetic basis of important agronomic traits in wheat are the necessary methods of approach for high-yield wheat breeding. This study evaluated nine crucial agronomic traits found in a natural population of 156 wheat varieties and 77 landraces from Sichuan in seven environments over two years. The results of the investigation of agronomic traits showed that the landraces had more tillers and higher kernel numbers per spike (KNS), while the breeding varieties had higher thousand kernel weight (TKW) and kernel weight per spike (KWS). The generalized heritability (H2) of the nine agronomic traits varied from 0.74 to 0.95. Structure analysis suggested that the natural population could be divided into three groups using 43198 single nucleotide polymorphism (SNP) markers from the wheat 55K SNP chip. A total of 67 quantitative trait loci (QTLs) were identified by the genome-wide association study (GWAS) analysis based on the Q+Kmethod of a mixed linear model. Three important QTLs were analyzed in this study. Four haplotypes of QFTN.sicau-7BL.1for fertile tillers number (FTN), three haplotypes of QKNS.sicau-1AL.2for KNS, and four haplotypes of QTKW.sicau-3BS.1for TKW were detected, respectively. FTN-Hap2, KNS-Hap1, and TKW-Hap2were excellent haplotypes in each QTL based on the yield performance of the 42 varieties in regional trials from 2002 to 2013. The varieties with three haplotypes showed the highest yield compared to those with two haplotypes and with one haplotype. In addition, the KASP-AX-108866053marker of QTL QKNS.sicau-1AL.2, based on the number of kernels per panicle, was successfully distinguished between three haplotypes (or alleles) in 63 varieties from regional trials between 2018 and 2021. These genetic loci and reliable makers can be applied in a marker-assisted selection or map-based gene cloning for the genetic improvement of wheat yield.

The ditelocentric addition line CS‐7EL of the spring wheat (Triticum aestivumL.) cultivar Chinese Spring (CS) contains the long arm of the chromosome 7E from Thinopyrum elongatum(CS‐7EL), which confers high resistance to Fusarium head blight. It is of great interest to breeders to integrate the resistance locus (loci) from Th. elongatuminto commercial wheat varieties. The objectives of this study were to identify candidate genes expressed from the 7EL chromosome of CS‐7EL, to develop 7EL‐specific molecular markers, and to validate their usefulness for characterizing recombination between one of the group 7 chromosomes of wheat and Th. elongatum. High‐throughput sequencing of Fusarium graminearum–infected and control CS and CS‐7EL cDNA libraries was performed using RNA‐Seq. A stepwise bioinformatics strategy was applied to assemble the sequences obtained from RNA‐Seq and to create a conservative list of candidate genes expressed from the foreign chromosome 7EL. Polymerase chain reaction primer pairs were designed and tested for 135 candidate genes. A total of 48 expressed molecular markers specific for the chromosome 7EL were successfully developed. Screening of progenies from two BC1F2families from the cross CS‐7E(7D) × 2*CSph1bshowed that these markers are useful for characterizing recombination events between the chromosomes 7D from wheat and 7E from Th. elongatum.

The Starch Branching Enzyme I(SBEI) gene plays an important role in amylopectin synthesis. Here, we isolated and characterized the full-length cDNA and DNA sequences of SBEIgene from diploid Triticeae species, Triticum monococcum, T. urartu, Aegilopsspeltoides, and Ae. tauschii. Then we predicted its protein structure, analyzed its evolutionary relationship with other species, and explored its expression patterns using real-time quantitative PCR. The SBEIcDNA includes a 2,490-bp open reading frame (ORF) encoding 829 amino acids. The genomic DNA of SBEIis 5,526-bp in length, containes fourteen exons and thirteen introns, and shares a similar structure with its homologous genes from other cereal plants. Sequence similarity ranging from 70.50% to 98.02% in exons and from 15.50% to 83.63% in introns was detected. Results of phylogenetic tree based on the deduced amino acid sequences from T. monococcumand other plants indicated that T. monococcum SBEIis more closely related to T. boeoticumand T. urartu. Expression analysis revealed that T. monococcum SBEIand AGPasegenes were highly expressed in the seeds at middle developmental stage. This is the first report on characterization of the SBEIgene in T. monococcum. These results could be used to explore the roles of this enzyme in amylopectin synthesis.

The Starch Branching Enzyme I (SBEI) gene plays an important role in amylopectin synthesis. Here, we isolated and characterized the full-length cDNA and DNA sequences of SBEI gene from diploid Triticeae species, Triticum monococcum, T. urartu, Aegilopsspeltoides, and Ae. tauschii. Then we predicted its protein structure, analyzed its evolutionary relationship with other species, and explored its expression patterns using real-time quantitative PCR. The SBEI cDNA includes a 2,490-bp open reading frame (ORF) encoding 829 amino acids. The genomic DNA of SBEI is 5,526-bp in length, containes fourteen exons and thirteen introns, and shares a similar structure with its homologous genes from other cereal plants. Sequence similarity ranging from 70.50% to 98.02% in exons and from 15.50% to 83.63% in introns was detected. Results of phylogenetic tree based on the deduced amino acid sequences from T. monococcum and other plants indicated that T. monococcum SBEI is more closely related to T. boeoticum and T. urartu. Expression analysis revealed that T. monococcum SBEI and AGPase genes were highly expressed in the seeds at middle developmental stage. This is the first report on characterization of the SBEI gene in T. monococcum. These results could be used to explore the roles of this enzyme in amylopectin synthesis.

Stripe rust, caused by Puccinia striiformisf. sp. tritici(Pst), is one of the most damaging diseases of wheat. Chinese wheat cultivar Mianmai 41 showed high resistance against most of the prevailing Pstraces in China. Genetic analysis of the F1, F2and F2:3populations from a cross between Mianmai 41 and a susceptible line Mingxian 169 indicated that resistance to Pstrace CYR32 was conferred by a single dominant gene, temporarily designated as YrMY41.Molecular marker analysis placed the gene on chromosome 1B near the centromere. Six co-dominant genomic SSR markers Xwmc329, Xwmc406, Xgwm18, Xgwm131, Xgwm413, and Xbarc312, and one STS marker Xwe173linked with the resistance gene. The two closest flanking SSR markers were Xgwm18and Xwmc406, with genetic distances of 2.0 and 4.9 cM, respectively. A seedling test with 29 Pstisolates indicated the reaction patterns of Mianmai 41 were different from those of lines carrying Yr3, Yr9, Yr10, Yr15, Yr26, and YrCH42on chromosome 1B. Allelic tests indicated that YrMY41is likely a new allele at Yr26locus.

Starch is the major carbohydrate in oat (Avena sativaL.) and starch formation requires the coordinated actions of several synthesis enzymes. In this study, the granule morphology, composition and physicochemical properties of oat starch, as well as the expressions of starch synthesis genes were investigated during oat endosperm development. Under the scanning electron microscopy (SEM), we observed that the unique compound granules were developed in oat endosperms at 10 days post anthesis (DPA) and then fragmented into irregular or polygonal simple granules from 12 DPA until seed maturity. The amylose content, branch chain length of degree of polymerization (DP=13–24), gelatinization temperature and percentage of retrogradation were gradually increased during the endosperm development; whereas the distribution of short chains (DP=6–12) were gradually decreased. The relative expressions of 4 classes of 13 starch synthesis genes characterized in this study indicated that three expression pattern groups were significantly different among gene classes as well as among varied isoforms, in which the first group of starch synthesis genes may play a key role on the initiation of starch synthesis in oat endosperms.

Micronutrient malnutrition affects over three billion people worldwide, especially women and children in developing countries. Increasing the bioavailable concentrations of essential elements in the edible portions of crops is an effective resolution to address this issue. To determine the genetic factors controlling micronutrient concentration in wheat, the quantitative trait locus (QTL) analysis for iron, zinc, copper, manganese, and selenium concentrations in two recombinant inbred line populations was performed. In all, 39 QTLs for five micronutrient concentrations were identified in this study. Of these, 22 alleles from synthetic wheat SHW-L1 and seven alleles from the progeny line of the synthetic wheat Chuanmai 42 showed an increase in micronutrient concentrations. Five QTLs on chromosomes 2A, 3D, 4D, and 5B found in both the populations showed significant phenotypic variation for 2–3 micronutrient concentrations. Our results might help understand the genetic control of micronutrient concentration and allow the utilization of genetic resources of synthetic hexaploid wheat for improving micronutrient efficiency of cultivated wheat by using molecular marker-assisted selection.

Aegiliops tauschiiis classified into two subspecies: Ae. tauschiissp. tauschiiand Ae. tauschiissp. strangulata.Novel genetic variations exist in Ae. tauschiissp. tauschiithat can be utilized in wheat improvement. We synthesized a hexaploid wheat genotype (SHW-L1) by crossing an Ae. tauschiissp. tauschiiaccession (AS60) with a tetraploid wheat genotype (AS2255). A population consisting of 171 F8recombinant inbred lines was developed from SHW-L1 and Chuanmai 32 to identify QTLs associated with agronomic traits. A new genetic map with high density was constructed and used to detect the QTLs for heading date, kernel width, spike length, spikelet number, and thousand kernel weight. A total of 30 putative QTLs were identified for five investigated traits. Thirteen QTLs were located on D genomes of SHW-L1, six of them showed positive effect on agronomic traits. Chromosome region flanked by wPt-6133–wPt-8134on 2D carried five environment-independent QTLs. Each QTL accounted for more than 10% phenotypic variance. These QTLs were highly consistent across environments and should be used in wheat breeding.

Aiming at enhancing the portability of the smart home management, it is an effective way to use the mobile terminal such as the mobile phone to control the smart home remotely. In addition, properly designed application on the mobile phone can give convenience to monitor the smart home as well as improve the user experience. In this paper, after a comprehensive analysis to the functions of the smart home, a related application based on Android is presented using the scheme of modular design. The application has the functions of monitoring the remote data and controlling the appliances in a long distance. Meanwhile, it can also realize the access control. The test of the application shows that it can receive the sensor data timely and make a proper control of the appliances, which means that it has realized the desired targets.

A variety of coupled hidden Markov models (CHMMs) have recently been proposed as extensions of HMM to better characterize multiple interdependent sequences. The resulting models have multiple state variables that are temporally coupled via matrices of conditional probabilities. A generalised fuzzy approach to statistical modelling techniques is proposed in this paper. Fuzzy C-means (FCM) and fuzzy entropy (FE) techniques are combined into a generalised fuzzy technique and applied to coupled hidden Markov models. The CHMM based on the fuzzy c-means (FCM) and fuzzy entropy (FE) is referred to as FCM-FE-CHMM in this paper. By building up a generalised fuzzy objective function, several new formulae solving Training algorithms are theoretically derived for FCM-FE-CHMM. The fuzzy modelling techniques are very flexible since the degree of fuzziness, the degree of fuzzy entropy.

γ-Gliadins are an important component of wheat seed storage proteins. Four novel γ-gliadin genes (Gli-ng1to Gli-ng4) were cloned from wheat (Triticum aestivum) and Aegilopsspecies. The novel γ-gliadins were much smaller in molecular size when compared to the typical γ-gliadins, which was caused by deletion of the non-repetitive domain, glutamine-rich region, 3' part of the repetitive domain, and 5' part of the C-terminal, possibly due to illegitimate recombination between the repetitive domain and the C-terminal. As a result, Gli-ng1and Gli-ng4only contained two and three cysteine residues, respectively. Gli-ng1, as the representative of novel γ-gliadin genes, has been sub-cloned into an Escherichia coliexpression system. SDS-PAGE indicated that the both cysteine residues of Gli-ng1could participate in the formation of intermolecular disulphide bonds in vitro.Successful cloning of Gli-ng1from seed cDNA of T. aestivum cv.Chinese Spring suggested that these novel γ-gliadin genes were normally transcribed during the development of seeds. Phylogenic analysis indicated that the four novel γ-gliadin genes had a closer relationship with those from the B (S) genome of wheat.

Waterlogging is a widespread limiting factor for wheat production throughout the world. To identify quantitative trait loci (QTLs) associated with waterlogging tolerance at early stages of growth, survival rate (SR), germination rate index (GRI), leaf chlorophyll content index (CCI), root length index (RLI), plant height index (PHI), root dry weight index (RDWI), shoot dry weight index (SDWI), and total dry weight index (DWI) were assessed using the International Triticeae Mapping Initiative (ITMI) population W7984/Opata85. Significant and positive correlations were detected for all traits in this population except RLI. A total of 32 QTLs were associated with waterlogging tolerance on all chromosomes except 3A, 3D, 4B, 5A, 5D, 6A, and 6D. Some of the QTLs explained large proportions of the phenotypic variance. One of these is the QTL for GRI on 7A, which explained 23.92% of the phenotypic variation. Of them, 22 alleles from the synthetic hexaploid wheat W7984 contributed positively. These results suggested that synthetic hexaploid wheat W7984 is an important genetic resource for waterlogging tolerance in wheat. These alleles conferring waterlogging tolerance at early stages of growth in wheat could be utilized in wheat breeding for improving waterlogging tolerance.

A hidden Markov model (HMM) encompasses a large class of stochastic process models and has been successfully applied to a number of scientific and engineering problems, including speech and other pattern recognition problems, and biological sequence analysis. A major restriction is found, however, in conventional HMM, i.e., it is ill-suited to capture the interactions among different models. A variety of coupled hidden Markov models (CHMMs) have recently been proposed as extensions of HMM to better characterize multiple interdependent sequences. The resulting models have multiple state variables that are temporally coupled via matrices of conditional probabilities. This paper study is focused on the coupled discrete HMM, there are two state variables in the network. By generalizing forward-backward algorithm, Viterbi algorithm and Baum-Welch algorithm commonly used in conventional HMM to accommodate two state variables, several new formulae solving the 2-chain coupled discrete HMM probability evaluation, decoding and training problem are theoretically derived.

Pathogens are a reason for low yield in common wheat (Triticum aestivum L.). Stripe rust (or yellow rust), caused by the fungus Puccinia striiformis f. sp. tritici (Pst), is one of the most important foliar diseases of wheat. One of the most cost-effective and environmentally sound ways to control stripe rust is to use plant varieties that are resistant to this pathogen. It is an important task for wheat breeders and pathologists to identify new genes and pyramid them in order to achieve high-level, durable resistance to stripe rust. One spring wheat germplasm, HRMSN-81, with resistance to the most dominant races in China, is identified from the CIMMYT breeding lines. To elucidate the genetic basis of its resistance, HRMSN-81 was crossed with susceptible wheat genotype Taichung 29. Seedlings of the parents were tested with Chinese Pst isolates CYR31, CYR32, and CYR33 under controlled greenhouse conditions, and adult plants of the parents and F1, F2, and F2:3 progeny were inoculated with the epidemic stripe rust mixed races, including CYR31, CYR32, and CYR33, in fields under natural infection. Genetic analysis showed that HRMSN-81 has a single dominant gene conferring all-stage resistance, temporarily designated as YrHRMSN-81. Resistance gene analogue polymorphism (RGAP), simple sequence repeat (SSR), target region amplified polymorphism (TRAP), and sequence-related amplified polymorphism (SRAP) techniques in combination with bulked segregant analysis (BSA) were used to identify molecular markers linked to the resistance gene. A linkage map consisting of six RGAP, two SSR, one TRAP, and two SRAP markers was constructed for YrHRMSN-81 using 148F2 plants. The gene was mapped to chromosome arm 2DS by testing the complete set of nulli-tetrasomic lines and selected ditelosomic lines with two RGAP markers and was further confirmed by two chromosome-specific SSR markers. The results of gene characteristics and chromosome locations indicated that YrHRMSN-81 was probably a new stripe rust resistance gene. The two flanking markers Xwgp-180bp (93% polymorphism rate) and Xwmc453 (91% polymorphism rate) detected 100% polymorphism of the 56 tested wheat genotypes when they were used in combination. The identification of the gene YrHRMSN-81 and the determination of the flanking markers should be useful for rapidly transferring it in wheat breeding programs.

It’s very important that Bridge Structural Health Monitoring to bridge management and maintenance. In this paper,the authors study the Application of GIS and GPS in Bridge Structural Health Monitoring. Introduce the application field of GIS in bridge structural health monitoring and the method of GPS-RTK Technology to measure the bridge three dimension dynamic coordinate, proposed the System General Framework of GIS in Bridge Structural Health Monitoring,mainly study the problems that acquisition and collection of Monitoring information,the database management scheme of the system, the method that of GIS manage Spatial and attribute information which related to bridge structural health monitoring and to process and analysis the Monitoring data. Also analysis the feasibility of using GPS and GIS technology in a Bridge Structural Health Monitoring.

We investigated the species and genome relationships among 82 Avena accessions representing thirteen diploid species (A and C genomes), six tetraploids (AB and AC genomes) and four hexaploids (ACD genome) to infer the evolutionary pathways in Avena using the plastid matK gene and the trnL-F region. The matK and trnL-F sequences pointed to the A-genome diploid species as maternal parents of the polyploid species. Furthermore, different A-genome diploid species might have served as the A genome donor of several different polyploid species. The probable ancestor of most hexaploid species, of the AC-genome tetraploids, and of the AB-genome species A. agadiriana was A. wiestii (As genome). The likely donor of the other three AB- genome tetraploids was A. hirtula (also As genome) and A. damascena (Ad genome) appears to be the A genome donor of the hexaploid A. fatua. The A genome origin of A. fatua differs from that for the other hexaploid Avena species, which is different from the common assumption that the hexaploid species evolved from a single hexaploid ancestor followed by gain or loss of domestication genes. Thus, several separate maternal lineages might be involved in different polyploid species.

SSRs derived from EST were molecular markers belonging to the transcribed region of the genome. Therefore, any polymorphism detected using EST-SSRs might reflect the better relationship among species or varieties. Using wheat EST-SSR markers, 60 durum wheat (Triticum durumL.) accessions from seven countries were investigated. Twenty-five primer pairs could amplify successfully in the 60 durum wheat accessions, of which tri-nucleotide repeats were the dominant type, and revealed 26 loci on all seven wheat homologous chromosome groups. A total of 87 eSSR alleles were detected, and the number of alleles detected by a single pair of primers ranged from 1 to 11, with an average of 3.3 alleles per locus. Higher numbers of alleles and PIC were identified on the B genome than those on the A genome.

Gliadin and HMW glutenin subunit variations in 162 spelt wheat (Triticum speltaL.) accessions were detected by A-PAGE and SDS-PAGE. Higher gliadin variation was observed, and 121 gliadin patterns were detected. A total of 14 HMW-GS alleles were found. There were 2,5 and 2 alleles at Glu-A1, Glu-B1and Glu-D1loci, respectively, resulting in 8 HMW-GS combinations. HMW-GS combination (1, 6+8, 2+12) was the dominant phenotype, which was found in 83.00% of the spelt wheat accessions. These results suggested that the polymorphism of spelt wheat on Gli-1loci was higher than that on Glu-1loci.

According to the two distal and conserved regions of known α-gliadin genes, gene-specific primers for α-gliadin were designed, and the coding regions of four gliadin genes (i.e. GliTd-1, GliTd-2, GliTd-3 and GliTd-4) with the length of about 800 bp were isolated from the genomic DNA of wild emmer wheat (Triticum dicoccoides). No introns were observed. Sequence comparison indicated that these genes should be classified as α-gliadins. GliTd-3 (GenBank accession No.DQ140351) and GliTd-4 (DQ140352) were potentially functional, whereas GliTd-1 (DQ140349) and GliTd-2 (DQ140350) were both pseudogenes by the definition of in-frame stop codons and frameshifts. Six conserved cysteine residues were observed. Sequence analysis suggested that the motif units of repetitive domain for the four newly detected genes were different from the known genes, and the QQQP sequence before the position 60 was more toxic to coeliac patients. Codons for proline were strongly biased. Codons (CAG and CAA) for glutamine were clustered into the specific regions, and the high percentage of pseudogenes resulted from the mutation of CAG → TAG.

Abstract: The compositions of high molecular weight (HMW) glutenin subunits from three species of Taenitherum Nevski (TaTa, 2n = 2x = 14), Ta. caput-medusae, Ta. crinitum and Ta. asperum, were investigated by SDS-PAGE analysis. The electrophoresis mobility of the x-type HMW glutenin subunits were slower or equal to that of wheat HMW glutenin subunit Dx2, and the electrophoresis mobility of the y-type subunits were faster than that of wheat HMW glutenin subunit Dy12. Two HMW glutenin genes, designated as Tax and Tay, were isolated from Ta. crinitum, and their complete nucleotide coding sequences were determined. Sequencing and multiple sequences alignment suggested that the HMW glutenin subunits derived from Ta. crinitum had the similar structures to the HMW glutenin subunits from wheat and related species with a signal peptide, and N- and C-conservative domains flanking by a repetitive domain consisted of the repeated short peptide motifs. However, the encoding sequences of Tax and Tay had some novel modification compared with the HMW glutenin genes reported so far: (1) A short peptide with the consensus sequences of KGGSFYP, which was observed in the N-terminal of all known HMW glutenin genes, was absent in Tax; (2) There is a specified short peptide tandem of tripeptide, hexapeptide and nonapeptide and three tandem of tripeptide in the repetitive domain of Tax; (3) The amino acid residues number is 105 (an extra Q presented) but not 104 in the N-terminal of Tay, which was similar to most of y-type HMW glutenin genes from Elytrigia elongata and Crithopsis delileana. Phylogenetic analysis indicated that Tax subunit was mostly related to Ax1, Cx, Ux and Dx5, and Tay was more related to Ay, Cy and Ry.

Xinjiang rice wheat (Triticum petropavlovskyiUdacz. et Migush, 2n=6x=42, AABBDD) is one of the endemic Chinese wheats, only distributing in Xinjiang and Xizang (Tibet), China. A novel high-molecular-weight (HMW) glutenin subunit gene 1DX2.1was isolated and characterized from Xinjiang rice wheat accession Daomai2. The complete open reading frame (ORF) of 1Dx2.1is 2508 bp, encoding 836 amino acids. The primary structure of 1DX2.1 consists of three distinct domains, a non-repetitive N-terminal domain with 89 residues, a non-repetitive C-terminal domain with 42 residues and a large central repetitive domain with 684 residues. In the N-terminal of 1DX2.1, there is an R (arginine) at position 75, whereas there is a Q (glutamine) in other known x-type subunits. Four cysteine residues are observed in 1DX2.1 with three in the N-terminal region and one in the C-terminal region. The number and distribution of cysteines in 1DX2.1 are identical to those in x-type subunits except for 1DX5, which possesses an extra cysteine residue. Differences between the repetitive domain of 1DX2.1 and those of known HMW subunits resulted from substitutions, insertions or/and deletions involving single or more amino acid residues. The phylogenetic tree, which was constructed on the basis of amino acid sequences, and indicated that 1DX2.1 was highly related to 1Dx2.lt, then to 1DX2 and 1DX5.

Abstract: The genetic diversity and similarities among 32 Kengyilia accessions, distributed to 14 species and one variety were analyzed by using random amplified microsatellite polymorphism (RAMP) markers. Of the 160 RAMP primer combinations tested, 40 (25%) produced polymorphic and clear bands. A total of 264 bands were produced by 40 primer combinations, among which 231 out of 264 bands (87.5%) were polymorphic. Two to 11 polymorphic bands could be amplified from each primer combination, with an average of 5.8 bands. The data of 264 bands were used for RAMP assay. By NTSYS-pc program, genetic similarity coefficients were generated and dendrogram was constructed using UPGMA. The genetic similarity coefficients ranged from 0.477 to 0.965 with the mean of 0.714. The results showed as follows: (1) distinct genetic differences were present among the different species; (2) the different accessions in a species were clustered together, respectively, which had larger genetic similarities and closer relations; (3) the species with similar morphological characters and the species from the same areas or neighboring geographical regions were clustered together; (4) the lowest genetic similarity was found between K. hirsuta (PI531618) and K. laxiflora (PI531631), while the highest genetic similarity was observed between K. hirsuta (Y2364) and K. hirsuta (Y2368); (5) RAMP results are basically comparable with those obtained from studies on morphology and cytology. It is a useful method for analysis of the genetic diversity and similarities in Kengyilia.

Nine Tibetan weedrace, 9 Xingjiang rice wheat and 14 Yunnan hulled wheat accessions were evaluated for the variability of HMW-glutenins and gliadins. Higher variability was observed for both HMW-glutenins and gliadins in Tibetan weedrace and Xingjiang rice wheat, while lower variability was observed in Yunan hulled wheat. There were 4 HMW-glutenin and 9 gliadin patterns in 9 Tibetan weedrace accessions, 5 HMW-glutenin and 8 gliadin patterns in 9 Xingjiang rice wheat accessions, and 3 HMW-glutenin and 8 gliadin patterns in 14 Yunnan hulled wheat accessions. In Xinjiang rice wheat, one accession (i.e. Daomai 2) carried subunits 2.1 + 10.1 encoded by Glu-D1, which is very rare in common wheat.