scholarly journals Genome-wide association mapping: a case study in bread wheat (Triticum aestivum L.)

2010 ◽  
Vol 27 (1) ◽  
pp. 37-58 ◽  
Author(s):  
K. Neumann ◽  
B. Kobiljski ◽  
S. Denčić ◽  
R. K. Varshney ◽  
A. Börner
Genomics ◽  
2020 ◽  
Vol 112 (6) ◽  
pp. 4608-4621
Author(s):  
Shiksha Chaurasia ◽  
Amit Kumar Singh ◽  
L.S. Songachan ◽  
Axma Dutt Sharma ◽  
Rakesh Bhardwaj ◽  
...  

Genome ◽  
2010 ◽  
Vol 53 (11) ◽  
pp. 957-966 ◽  
Author(s):  
Harsh Raman ◽  
Benjamin Stodart ◽  
Peter R. Ryan ◽  
Emmanuel Delhaize ◽  
Livinus Emebiri ◽  
...  

Aluminium (Al3+) toxicity restricts productivity and profitability of wheat ( Triticum aestivum L.) crops grown on acid soils worldwide. Continued gains will be obtained by identifying superior alleles and novel Al3+ resistance loci that can be incorporated into breeding programs. We used association mapping to identify genomic regions associated with Al3+ resistance using 1055 accessions of common wheat from different geographic regions of the world and 178 polymorphic diversity arrays technology (DArT) markers. Bayesian analyses based on genetic distance matrices classified these accessions into 12 subgroups. Genome-wide association analyses detected markers that were significantly associated with Al3+ resistance on chromosomes 1A, 1B, 2A, 2B, 2D, 3A, 3B, 4A, 4B, 4D, 5B, 6A, 6B, 7A, and 7B. Some of these genomic regions correspond to previously identified loci for Al3+ resistance, whereas others appear to be novel. Among the markers targeting TaALMT1 (the major Al3+-resistance gene located on chromosome 4D), those that detected alleles in the promoter explained most of the phenotypic variance for Al3+ resistance, which is consistent with this region controlling the level of TaALMT1 expression. These results demonstrate that genome-wide association mapping cannot only confirm known Al3+-resistance loci, such as those on chromsomes 4D and 4B, but they also highlight the utility of this technique in identifying novel resistance loci.


PLoS ONE ◽  
2018 ◽  
Vol 13 (12) ◽  
pp. e0208196 ◽  
Author(s):  
Ram Narayan Ahirwar ◽  
Vinod Kumar Mishra ◽  
Ramesh Chand ◽  
Neeraj Budhlakoti ◽  
Dwijesh Chandra Mishra ◽  
...  

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Parveen Malik ◽  
Jitendra Kumar ◽  
Shiveta Sharma ◽  
Rajiv Sharma ◽  
Shailendra Sharma

Abstract Background Bread wheat (Triticum aestivum L.) is one of the most important cereal food crops for the global population. Spike-layer uniformity (the consistency of the spike distribution in the vertical space)-related traits (SLURTs) are quantitative and have been shown to directly affect yield potential by modifying the plant architecture. Therefore, these parameters are important breeding targets for wheat improvement. The present study is the first genome-wide association study (GWAS) targeting SLURTs in wheat. In this study, a set of 225 diverse spring wheat accessions were used for multi-locus GWAS to evaluate SLURTs, including the number of spikes per plant (NSPP), spike length (SL), number of spikelets per spike (NSPS), grain weight per spike (GWPS), lowest tiller height (LTH), spike-layer thickness (SLT), spike-layer number (SLN) and spike-layer uniformity (SLU). Results In total, 136 significant marker trait associations (MTAs) were identified when the analysis was both performed individually and combined for two environments. Twenty-nine MTAs were detected in environment one, 48 MTAs were discovered in environment two and 59 MTAs were detected using combined data from the two environments. Altogether, 15 significant MTAs were found for five traits in one of the two environments, and four significant MTAs were detected for the two traits, LTH and SLU, in both environments i.e. E1, E2 and also in combined data from the two environments. In total, 279 candidate genes (CGs) were identified, including Chaperone DnaJ, ABC transporter-like, AP2/ERF, SWEET sugar transporter, as well as genes that have previously been associated with wheat spike development, seed development and grain yield. Conclusions The MTAs detected through multi-locus GWAS will be useful for improving SLURTs and thus yield in wheat production through marker-assisted and genomic selection.


Sign in / Sign up

Export Citation Format

Share Document