Genome-wide association mapping of root system architecture traits in common wheat (Triticum aestivum L.)

Euphytica ◽  
2019 ◽  
Vol 215 (7) ◽  
Author(s):  
Peng Liu ◽  
Yirong Jin ◽  
Jindong Liu ◽  
Caiyun Liu ◽  
Hongping Yao ◽  
...  
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.


2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Jindong Liu ◽  
Zhonghu He ◽  
Awais Rasheed ◽  
Weie Wen ◽  
Jun Yan ◽  
...  

2020 ◽  
Vol 11 ◽  
Author(s):  
Waldiodio Seck ◽  
Davoud Torkamaneh ◽  
François Belzile

Increasing the understanding genetic basis of the variability in root system architecture (RSA) is essential to improve resource-use efficiency in agriculture systems and to develop climate-resilient crop cultivars. Roots being underground, their direct observation and detailed characterization are challenging. Here, were characterized twelve RSA-related traits in a panel of 137 early maturing soybean lines (Canadian soybean core collection) using rhizoboxes and two-dimensional imaging. Significant phenotypic variation (P < 0.001) was observed among these lines for different RSA-related traits. This panel was genotyped with 2.18 million genome-wide single-nucleotide polymorphisms (SNPs) using a combination of genotyping-by-sequencing and whole-genome sequencing. A total of 10 quantitative trait locus (QTL) regions were detected for root total length and primary root diameter through a comprehensive genome-wide association study. These QTL regions explained from 15 to 25% of the phenotypic variation and contained two putative candidate genes with homology to genes previously reported to play a role in RSA in other species. These genes can serve to accelerate future efforts aimed to dissect genetic architecture of RSA and breed more resilient varieties.


2019 ◽  
Vol 139 (2) ◽  
pp. 295-303 ◽  
Author(s):  
Jing Hong Zuo ◽  
Feng Ying Chen ◽  
Xiao Ying Li ◽  
Xian Chun Xia ◽  
Hong Cao ◽  
...  

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