Person: Xianchun Xia
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Xianchun Xia
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Xianchun Xia
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0000-0003-2071-197X10 results
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- Identification of genetic loci for grain yield-related traits in the wheat population Zhongmai 578/Jimai 22(Elsevier B.V., 2023) Dan Liu; Dehui Zhao; Jian qi Zeng; Rabiu Sani Shawai; Jingyang Tong; Ming Li; Fa-Ji Li; Shuo Zhou; Wen-li Hu; Xianchun Xia; Yubing Tian; Qian Zhu; Chunping Wang; Desen Wang; He Zhonghu; Jindong Liu; Yong Zhang
Publication - QTL mapping for pre-harvest sprouting in a recombinant inbred line population of elite wheat varieties Zhongmai 578 and Jimai 22(ICS, 2023) Shawai, R.S.; Dan Liu; Lingli Li; Chen, T.; Ming Li; Shuanghe Cao; Xianchun Xia; Jindong Liu; He Zhonghu; Yong Zhang
Publication - Resistance of slow mildewing genes to stripe rust and leaf rust in common wheat(Science Press, 2014) Jindong Liu; Xinmin Chen; He Zhonghu; Ling Wu; Bin Bai; Zaifeng Li; Xianchun Xia
Publication - Genome-wide association analysis of Fusarium head blight resistance in Chinese elite wheat lines(Frontiers, 2020) Zhanwang Zhu; Ling Chen; Wei Zhang; Lijun Yang; Weiwei Zhu; Junhui Li; Yike Liu; Hanwen Tong; Luping Fu; Jindong Liu; Rasheed, A.; Xianchun Xia; He Zhonghu; Yuanfeng Hao; Chunbao Gao
Publication - Characterization of TaCOMT genes associated with stem lignin content in common wheat and development of a gene-specific marker(Elsevier, 2019) Luping Fu; Yonggui Xiao; Yan Jun; Jindong Liu; Weie Wen; Yong Zhang; Xianchun Xia; He Zhonghu
Publication - A genome-wide association study reveals a rich genetic architecture of flour color-related traits in bread wheat(Frontiers, 2018) Shengnan Zhai; Jindong Liu; Dengan Xu; Weie Wen; Yan Jun; Pingzhi Zhang; Yingxiu Wan; Shuanghe Cao; Yuanfeng Hao; Xianchun Xia; Wujun Ma; He ZhonghuFlour color-related traits, including brightness (L∗), redness (a∗), yellowness (b∗) and yellow pigment content (YPC), are very important for end-use quality of wheat. Uncovering the genetic architecture of these traits is necessary for improving wheat quality by marker-assisted selection (MAS). In the present study, a genome-wide association study (GWAS) was performed on a collection of 166 bread wheat cultivars to better understand the genetic architecture of flour color-related traits using the wheat 90 and 660 K SNP arrays, and 10 allele-specific markers for known genes influencing these traits. Fifteen, 28, 25, and 32 marker–trait associations (MTAs) for L∗ , a∗ , b∗ , and YPC, respectively, were detected, explaining 6.5–20.9% phenotypic variation. Seventy-eight loci were consistent across all four environments. Compared with previous studies, Psy-A1, Psy-B1, Pinb-D1, and the 1B•1R translocation controlling flour color-related traits were confirmed, and four loci were novel. Two and 11 loci explained much more phenotypic variation of a∗ and YPC than phytoene synthase 1 gene (Psy1), respectively. Sixteen candidate genes were predicted based on biochemical information and bioinformatics analyses, mainly related to carotenoid biosynthesis and degradation, terpenoid backbone biosynthesis and glycolysis/gluconeogenesis. The results largely enrich our knowledge of the genetic basis of flour color-related traits in bread wheat and provide valuable markers for wheat quality improvement. The study also indicated that GWAS was a powerful strategy for dissecting flour color-related traits and identifying candidate genes based on diverse genotypes and high-throughput SNP arrays.
Publication - Genome-wide linkage mapping of QTL for adult-plant resistance to stripe rust in a chinese wheat population Linmai 2 × Zhong 892(Public Library of Science, 2015) Jindong Liu; He Zhonghu; Ling Wu; Bin Bai; Weie Wen; Chaojie Xie; Xianchun XiaStripe rust is one of the most devastating diseases of wheat (Triticum aestivum) worldwide. Adult-plant resistance (APR) is an efficient approach to provide long-term protection of wheat from the disease. The Chinese winter wheat cultivar Zhong 892 has a moderate level of APR to stripe rust in the field. To determine the inheritance of the APR resistance in this cultivar, 273 F6 recombinant inbred lines (RILs) were developed from a cross between Linmai 2 and Zhong 892. The RILs were evaluated for maximum disease severity (MDS) in two sites during the 2011–2012, 2012–2013 and 2013–2014 cropping seasons, providing data for five environments. Illumina 90k SNP (single nucleotide polymorphism) chips were used to genotype the RILs and their parents. Composite interval mapping (CIM) detected eight QTL, namely QYr.caas-2AL, QYr.caas-2BL.3, QYr.caas-3AS, QYr.caas-3BS, QYr.caas-5DL, QYr.caas-6AL, QYr.caas-7AL and QYr.caas-7DS.1, respectively. All except QYr.caas-2BL.3 resistance alleles were contributed by Zhong 892. QYr.caas-3AS and QYr.caas-3BS conferred stable resistance to stripe rust in all environments, explaining 6.2–17.4% and 5.0–11.5% of the phenotypic variances, respectively. The genome scan of SNP sequences tightly linked to QTL for APR against annotated proteins in wheat and related cereals genomes identified two candidate genes (autophagy-related gene and disease resistance gene RGA1), significantly associated with stripe rust resistance. These QTL and their closely linked SNP markers, in combination with kompetitive allele specific PCR (KASP) technology, are potentially useful for improving stripe rust resistances in wheat breeding.
Publication - Genome-wide association mapping of vitamins B1 and B2 in common wheat(Elsevier, 2018) Jieyun Li; Jindong Liu; Weie Wen; Pingzhi Zhang; Yingxiu Wan; Xianchun Xia; Zhang, Y.; He ZhonghuVitamin B is essential for maintaining normal life activities in humans and animals who have to intake the microelement from the outside, especially from cereal products. In the present study 166 Chinese and foreign wheat cultivars planted in two environments were characterized for variation in vitamin B1 and B2 contents. A genome-wide association study (GWAS) using the wheat 90 K SNP assay identified 17 loci for vitamin B1 and 7 for vitamin B2 contents. Linear regression analysis showed a significantly positive correlation of the number of favorable alleles with vitamin B1 and B2 contents. Marker-trait associations (MTAs) at IWB43809 (6AS, 0 cM) and IWB69903 (6AS, 13 cM) were new and stable, and significantly associated with vitamin B1 content across two environments. The loci identified in this study and associated SNP markers could be used for improvement of vitamin B1 and B2 contents to obtain superior quality along with grain yield in wheat.
Publication - Genome-wide association mapping of black point reaction in common wheat (Triticum aestivum L.)(BioMed Central, 2017) Jindong Liu; He Zhonghu; Rasheed, A.; Weie Wen; Yan Jun; Pingzhi Zhang; Yingxiu Wan; Yong Zhang; Chaojie Xie; Xianchun XiaBlack point is a serious threat to wheat production and can be managed by host resistance. Marker-assisted selection (MAS) has the potential to accelerate genetic improvement of black point resistance in wheat breeding. We performed a genome-wide association study (GWAS) using the high-density wheat 90 K and 660 K single nucleotide polymorphism (SNP) assays to better understand the genetic basis of black point resistance and identify associated molecular markers.
Publication - A high-density consensus map of common wheat integrating four mapping populations scanned by the 90k SNP Array(Frontiers, 2017) Weie Wen; He Zhonghu; Fengmei Gao; Hui Jin; Jindong Liu; Shengnan Zhai; Yanying Qu; Xianchun XiaA high-density consensus map is a powerful tool for gene mapping, cloning and molecular marker-assisted selection in wheat breeding. The objective of this study was to construct a high-density, single nucleotide polymorphism (SNP)-based consensus map of common wheat (Triticum aestivum L.) by integrating genetic maps from four recombinant inbred line populations. The populations were each genotyped using the wheat 90K Infinium iSelect SNP assay. A total of 29,692 SNP markers were mapped on 21 linkage groups corresponding to 21 hexaploid wheat chromosomes, covering 2,906.86 cM, with an overall marker density of 10.21 markers/cM. Compared with the previous maps based on the wheat 90K SNP chip detected 22,736 (76.6%) of the SNPs with consistent chromosomal locations, whereas 1,974 (6.7%) showed different chromosomal locations, and 4,982 (16.8%) were newly mapped. Alignment of the present consensus map and the wheat expressed sequence tags (ESTs) Chromosome Bin Map enabled assignment of 1,221 SNP markers to specific chromosome bins and 819 ESTs were integrated into the consensus map. The marker orders of the consensus map were validated based on physical positions on the wheat genome with Spearman rank correlation coefficients ranging from 0.69 (4D) to 0.97 (1A, 4B, 5B, and 6A), and were also confirmed by comparison with genetic position on the previously 40K SNP consensus map with Spearman rank correlation coefficients ranging from 0.84 (6D) to 0.99 (6A). Chromosomal rearrangements reported previously were confirmed in the present consensus map and new putative rearrangements were identified. In addition, an integrated consensus map was developed through the combination of five published maps with ours, containing 52,607 molecular markers. The consensus map described here provided a high-density SNP marker map and a reliable order of SNPs, representing a step forward in mapping and validation of hromosomal locations of SNPs on the wheat 90K array. Moreover, it can be used as a reference for quantitative trait loci (QTL) mapping to facilitate exploitation of genes and QTL in wheat breeding.
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