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Effect of high-molecular-weight glutenin subunit Dy10 on wheat dough properties and end-use quality
WANG Yan, GUO Zhen-ru, CHEN Qing, LI Yang, ZHAO Kan, WAN Yong-fang, Malcolm J. HAWKESFORD, JIANG Yun-feng, KONG Li, PU Zhi-en, DENG Mei, JIANG Qian-tao, LAN Xiu-jin, WANG Ji-rui, CHEN Guo-yue, MA Jian, ZHENG You-liang, WEI Yu-ming, QI Peng-fei
2023, 22 (6): 1609-1617.   DOI: 10.1016/j.jia.2022.08.041
Abstract423)      PDF in ScienceDirect      
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-null allele), and by elucidating the changes to wheat flour following the incorporation of purified Dy10. The Dy10-null allele was transcribed normally, but the Dy10 subunit was lacking. These findings implied that the Dy10-null allele 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-null allele may be exploited by soft wheat breeding programs.
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Genome-wide association and linkage mapping strategies reveal the genetic loci and candidate genes of important agronomic traits in Sichuan wheat
ZHANG Zhi-peng, LI Zhen, HE Fang, LÜ Ji-juan, XIE Bin, YI Xiao-yu, LI Jia-min, LI Jing, SONG Jing-han, PU Zhi-en, MA Jian, PENG Yuan-ying, CHEN Guo-yue, WEI Yu-ming, ZHENG You-liang, LI Wei
2023, 22 (11): 3380-3393.   DOI: 10.1016/j.jia.2023.02.030
Abstract238)      PDF in ScienceDirect      

Increasing wheat yield is a long-term goal for wheat breeders around the world.  Exploiting elite genetic resources and dissecting the genetic basis of important agronomic traits in wheat are the necessary methods 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, China in seven environments over two years.  The results of this 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) values 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 43 198 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+K method of a mixed linear model.  Three important QTLs were analyzed in this study.  Four haplotypes of QFTN.sicau-7BL.1 for fertile tillers number (FTN), three haplotypes of QKNS.sicau-1AL.2 for KNS, and four haplotypes of QTKW.sicau-3BS.1 for TKW were detected.  FTN-Hap2, KNS-Hap1, and TKW-Hap2 were excellent haplotypes for each QTL based on the yield performance of 42 varieties in regional trials from 2002 to 2013.  The varieties with all three haplotypes showed the highest yield compared to those with either two haplotypes or one haplotype.  In addition, the KASP-AX-108866053 marker of QTL QKNS.sicau-1AL.2 was successfully distinguished between three haplotypes (or alleles) in 63 varieties based on the number of kernels per spike in regional trials between 2018 and 2021.  These genetic loci and reliable makers can be applied in marker-assisted selection or map-based gene cloning for the genetic improvement of wheat yield. 

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A major and stable QTL for wheat spikelet number per spike validated in different genetic backgrounds
DING Pu-yang, MO Zi-qiang, TANG Hua-ping, MU Yang, DENG Mei, JIANG Qian-tao, LIU Ya-xi, CHEN Guang-deng, CHEN Guo-yue, WANG Ji-rui, LI Wei, QI Peng-fei, JIANG Yun-feng, KANG Hou-yang, YAN Gui-jun, Wei Yu-ming, ZHENG You-liang, LAN Xiu-jin, MA Jian
2022, 21 (6): 1551-1562.   DOI: 10.1016/S2095-3119(20)63602-4
Abstract268)      PDF in ScienceDirect      
The spikelet number per spike (SNS) contributes greatly to grain yield in wheat.  Identifying various genes that control wheat SNS is vital for yield improvement.  This study used a recombinant inbred line population genotyped by the Wheat55K single-nucleotide polymorphism array to identify two major and stably expressed quantitative trait loci (QTLs) for SNS.  One of them (QSns.sau-2SY-2D.1) was reported previously, while the other (QSns.sau-2SY-7A) was newly detected and further analyzed in this study.  QSns.sau-2SY-7A had a high LOD value ranging from 4.46 to 16.00 and explained 10.21–40.78% of the phenotypic variances.  QSns.sau-2SY-7A was flanked by the markers AX-110518554 and AX-110094527 in a 4.75-cM interval on chromosome arm 7AL.  The contributions and interactions of both major QTLs were further analyzed and discussed.  The effect of QSns.sau-2SY-7A was successfully validated by developing a tightly linked kompetitive allele specific PCR marker in an F2:3 population and a panel of 101 high-generation breeding wheat lines.  Furthermore, several genes including the previously reported WHEAT ORTHOLOG OF APO1 (WAPO1), an ortholog of the rice gene ABERRANT PANICLE ORGANIZATION 1 (APO1) related to SNS, were predicted in the interval of QSns.sau-2SY-7A.  In summary, these results revealed the genetic basis of the multi-spikelet genotype of wheat line 20828 and will facilitate subsequent fine mapping and breeding utilization of the major QTLs.
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Identification and validation of novel loci associated with wheat quality through a genome-wide association study
PU Zhi-en, YE Xue-ling, LI Yang, SHI Bing-xin, GUO Zhu, DAI Shou-fen, MA Jian, LIU Ze-hou, JIANG Yun-feng, LI Wei, JIANG Qian-tao, CHEN Guo-yue, WEI Yu-ming, ZHENG You-liang
2022, 21 (11): 3131-3147.   DOI: 10.1016/j.jia.2022.08.085
Abstract203)      PDF in ScienceDirect      
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, a genome-wide association study (GWAS) based on a mixed linear model (MLM) was performed on the 236 wheat accessions including 160 cultivars and 76 landraces using 55K single nucleotide polymorphism (SNP) array in multiple environments. A total of twelve stable QTL/SNPs were identified to control different quality traits in this populations at least two environments under stripe rust stress; three, seven and two QTLs associated with GPC, GSC, and WGC were characterized respectively and located on chromosomes 1B, 1D, 2A, 2B, 2D, 3B, 3D, 5D, and 7D with the range of phenotypic variation explained (PVE) 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, QWgc.sicau-5DL) were potentially novel. KASP markers for SNPs AX-108770574 and AX-108791420 on chromosome on 5D associated with wet gluten concentration were successfully developed. Phenotype of the cultivars containing the A-allele in AX-108770574 and T-allele in AX-108791420 were extremely significantly (P<0.01) higher than that of the landraces containing the G-allele or C-allele of wet gluten concentration in each of the environments. The developed and validated KASP markers could be utilized in molecular breeding aiming to improve the quality in wheat.
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Genetic dissection of wheat uppermost-internode diameter and its association with agronomic traits in five recombinant inbred line populations at various field environments
LIU Hang, TANG Hua-ping, LUO Wei, MU Yang, JIANG Qian-tao, LIU Ya-xi, CHEN Guo-yue, WANG Ji-rui, ZHENG Zhi, QI Peng-fei, JIANG Yun-feng, CUI Fa, SONG Yin-ming, YAN Gui-jun, WEI Yuming, LAN Xiu-jin, ZHENG You-liang, MA Jian
2021, 20 (11): 2849-2861.   DOI: 10.1016/S2095-3119(20)63412-8
Abstract207)      PDF in ScienceDirect      
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-1D and QUid.sau-SC-3D are 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.1 and 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.
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Quantitative trait loci analysis for root traits in synthetic hexaploid wheat under drought stress conditions
LIU Rui-xuan, WU Fang-kun, YI Xin, LIN Yu, WANG Zhi-qiang, LIU Shi-hang, DENG Mei, MA Jian, WEI Yu-ming, ZHENG You-liang, LIU Ya-xi
2020, 19 (8): 1947-1960.   DOI: 10.1016/S2095-3119(19)62825-X
Abstract187)      PDF in ScienceDirect      
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 F9 recombinant inbred lines derived from a F2 population 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 120 370 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.
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Characterization of starch morphology, composition, physicochemical properties and gene expressions in oat
Zheng Ke, Jiang Qian-tao, Wei Long, Zhang Xiao-wei, Ma Jian, Chen guo-yue, Wei Yuming, Mitchell Fetch Jennifer, Lu Zhen-xiang, Zheng You-liang
2015, 14 (1): 20-28.   DOI: 10.1016/S2095-3119(14)60765-6
Abstract1913)      PDF in ScienceDirect      
Starch is the major carbohydrate in oat (Avena sativa L.) 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.
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