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Investigators at CAAS Discuss Findings in Plant Biology (Genome-wide association for grain morphology in synthetic hexaploid wheats using digital...

July 29, 2014



Investigators at CAAS Discuss Findings in Plant Biology (Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis)

By a News Reporter-Staff News Editor at Life Science Weekly -- Researchers detail new data in Life Science Research. According to news reporting originating from Beijing, People's Republic of China, by NewsRx correspondents, research stated, "Grain size and shape greatly influence grain weight which ultimately enhances grain yield in wheat. Digital imaging (DI) based phenomic characterization can capture the three dimensional variation in grain size and shape than has hitherto been possible."

Our news editors obtained a quote from the research from CAAS, "In this study, we report the results from using digital imaging of grain size and shape to understand the relationship among different components of this trait, their contribution to enhance grain weight, and to identify genomic regions (QTLs) controlling grain morphology using genome wide association mapping with high density diversity array technology (DArT) and allele-specific markers. Significant positive correlations were observed between grain weight and grain size measurements such as grain length (r = 0.43), width, thickness (r = 0.64) and factor from density (FFD) (r = 0.69). A total of 231 synthetic hexaploid wheats (SHWs) were grouped into five different sub-clusters by Bayesian structure analysis using unlinked DArT markers. Linkage disequilibrium (LD) decay was observed among DArT loci > 10 cM distance and approximately 28% marker pairs were in significant LD. In total, 197 loci over 60 chromosomal regions and 79 loci over 31 chromosomal regions were associated with grain morphology by genome wide analysis using general linear model (GLM) and mixed linear model (MLM) approaches, respectively. They were mainly distributed on homoeologous group 2, 3, 6 and 7 chromosomes. Twenty eight marker-trait associations (MTAs) on the D genome chromosomes 2D, 3D and 6D may carry novel alleles with potential to enhance grain weight due to the use of untapped wild accessions of Aegilops tauschii. Statistical simulations showed that favorable alleles for thousand kernel weight (TKW), grain length, width and thickness have additive genetic effects. Allelic variations for known genes controlling grain size and weight, viz. TaCwi-2A, TaSus-2B, TaCKX6-3D and TaGw2-6A, were also associated with TKW, grain width and thickness. In silico functional analysis predicted a range of biological functions for 32 DArT loci and receptor like kinase, known to affect plant development, appeared to be common protein family encoded by several loci responsible for grain size and shape. Conclusively, we demonstrated the application and integration of multiple approaches including high throughput phenotyping using DI, genome wide association studies (GWAS) and in silico functional analysis of candidate loci to analyze target traits, and identify candidate genomic regions underlying these traits."

According to the news editors, the research concluded: "These approaches provided great opportunity to understand the breeding value of SHWs for improving grain weight and enhanced our deep understanding on molecular genetics of grain weight in wheat."

For more information on this research see: Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis. BMC Plant Biology, 2014;14():21-41. BMC Plant Biology can be contacted at: Biomed Central Ltd, 236 Grays Inn Rd, Floor 6, London WC1X 8HL, England. (BioMed Central - www.biomedcentral.com/; BMC Plant Biology - www.biomedcentral.com/bmcplantbiol/)

The news editors report that additional information may be obtained by contacting A. Rasheed, CAAS, China Off, Int Maize & Wheat Improvement Center CIMMYT, Beijing 100081, People's Republic of China. Additional authors for this research include X.C. Xia, F. Ogbonnaya, T. Mahmood, Z.W. Zhang, A. Mujeeb-Kazi and Z.H. He (see also Life Science Research).

Keywords for this news article include: Beijing, People's Republic of China, Asia, Life Science Research

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Life Science Weekly


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