Genome‐wide association study reveals molecular markers and genes potentially associated with soybean ( Glycine max ) resistance to Xanthomonas citri pv. glycines

2021 ◽  
Author(s):  
Pollyanna Capobiango da Fonseca ◽  
Rosângela Maria Barbosa ◽  
Dalton Ferreira ◽  
Jorge Luis Badel ◽  
Ivan Schuster ◽  
...  
2020 ◽  
Vol 71 (10) ◽  
pp. 884
Author(s):  
Zhikun Wang ◽  
Mingming Yang ◽  
Yuanzhuo Wang ◽  
Chao Yang ◽  
Xue Zhao ◽  
...  

Association analysis is an alternative to conventional, family-based methods for detecting the location of gene(s) or quantitative trait loci (QTLs), and provides relatively high resolution in terms of defining the genome position of a gene or QTL. Flavour is an essential quality characteristic of soymilk; however, soymilk contains volatile compounds unacceptable to consumers. One of main constituents in the volatiles of normal soymilk is 2-heptenal, which is thought to be a degradative oxidation product of polyunsaturated acids. In this study, a genome-wide association study using 24651 single-nucleotide polymorphisms (SNPs) was performed to identify quantitative trait nucleotides (QTNs) controlling 2-heptenal content in soybean (Glycine max (L.) Merr.) seed from a natural population of 110 soybean germplasm accessions. We detected 62 significant QTNs located on 18 different chromosomes that are significantly associated with 2-heptenal content in soybean seed. Among these, 17 QTNs co-localised with QTLs previously found to be related to protein, oil and/or fatty acid content in soybean seed. We also identified some candidate genes involved in lipid metabolism. These findings further our understanding of the genetic basis of 2-heptenal content in soybean seed and the improvement of marker-assisted breeding efficiency, which will be important for breeding soybean cultivars with low 2-heptenal content.


2014 ◽  
Vol 128 (1) ◽  
pp. 73-91 ◽  
Author(s):  
Arun Prabhu Dhanapal ◽  
Jeffery D. Ray ◽  
Shardendu K. Singh ◽  
Valerio Hoyos-Villegas ◽  
James R. Smith ◽  
...  

2015 ◽  
Vol 5 (11) ◽  
pp. 2391-2403 ◽  
Author(s):  
Jeffery D. Ray ◽  
Arun Prabhu Dhanapal ◽  
Shardendu K. Singh ◽  
Valerio Hoyos-Villegas ◽  
James R. Smith ◽  
...  

2015 ◽  
Vol 128 (2) ◽  
pp. 375-376
Author(s):  
Arun Prabhu Dhanapal ◽  
Jeffery D. Ray ◽  
Shardendu K. Singh ◽  
Valerio Hoyos-Villegas ◽  
James R. Smith ◽  
...  

2021 ◽  
Author(s):  
Ana Leticia R. Monteiro ◽  
Augusto S.L. Pantaleão ◽  
Jorge L. Badel ◽  
Pedro H.M. Soares ◽  
Vinicius Q. Carneiro ◽  
...  

2019 ◽  
Vol 138 (6) ◽  
pp. 721-732 ◽  
Author(s):  
Yan Jing ◽  
Xue Zhao ◽  
Jun Wang ◽  
Ming Lian ◽  
Weili Teng ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
C. Joe Martin ◽  
Davoud Torkamaneh ◽  
Muhammad Arif ◽  
Karl Peter Pauls

Plant-derived folates (Vitamin B9) are essential components of the human diet. They provide one-carbon units that are required for the synthesis of nucleic acids and proteins, and folate deficiency is associated with numerous adverse health conditions. The development of high-folate cultivars of common bean (Phaseolus vulgaris L.) and other staple crops is an important tool to combat folate deficiency. A population of 96 P. vulgaris accessions, representing major North American market classes, was grown in 2 years in Ontario, Canada. The population was genotyped for 5,361 molecular markers with an Illumina Infinium platform. Total folate was extracted from mature seeds using the tri-enzyme extraction method and quantified based on a microbiological assay with Lactobacillus rhamnosus. Significant genetic diversity for folate content was observed among the population in both years of study, and folate content had a range 113–222 μg per 100 g of seeds. Quantitative trait loci (QTL) for seed folate content were identified based on a genome-wide association study (GWAS). Six QTL were identified on Chr. 4, 6, 8, and 11, with three in each year of field trials. Both QTL on Chr. 11 occurred in genomic regions that were syntenic to seed folate QTL detected in previous work with P. vulgaris, Z. mays, and O. sativa. Candidate genes were identified for these QTL that might be targets for the development of molecular markers for selecting P. vulgaris cultivars with improved seed folate content. This work reports the largest survey of genetic diversity for seed folate content in P. vulgaris and identified several genotypes, including SCN4, Bat 93, OAC Redstar, and Pompadour 1014, that would be useful for breeding beans with higher than average folate levels.


2021 ◽  
Vol 11 ◽  
Author(s):  
Arun Prabhu Dhanapal ◽  
Larry M. York ◽  
Kasey A. Hames ◽  
Felix B. Fritschi

Water and nutrient acquisition is a critical function of plant root systems. Root system architecture (RSA) traits are often complex and controlled by many genes. This is the first genome-wide association study reporting genetic loci for RSA traits for field-grown soybean (Glycine max). A collection of 289 soybean genotypes was grown in three environments, root crowns were excavated, and 12 RSA traits assessed. The first two components of a principal component analysis of these 12 traits were used as additional aggregate traits for a total of 14 traits. Marker–trait association for RSA traits were identified using 31,807 single-nucleotide polymorphisms (SNPs) by a genome-wide association analysis. In total, 283 (non-unique) SNPs were significantly associated with one or more of the 14 root traits. Of these, 246 were unique SNPs and 215 SNPs were associated with a single root trait, while 26, four, and one SNPs were associated with two, three, and four root traits, respectively. The 246 SNPs marked 67 loci associated with at least one of the 14 root traits. Seventeen loci on 13 chromosomes were identified by SNPs associated with more than one root trait. Several genes with annotation related to processes that could affect root architecture were identified near these 67 loci. Additional follow-up studies will be needed to confirm the markers and candidate genes identified for RSA traits and to examine the importance of the different root characteristics for soybean productivity under a range of soil and environmental conditions.


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