Literature DB >> 32166500

GWAS reveals two novel loci for photosynthesis-related traits in soybean.

Li Wang1, Yuming Yang1, Shuyu Zhang1, Zhijun Che2, Wenjie Yuan1, Deyue Yu3.   

Abstract

Photosynthesis plays an extremely important role throughout the life cycle of plants. Improving the photosynthetic rate is a major target for increasing crop productivity. This study was conducted to identify single nucleotide polymorphisms (SNPs) associated with the net photosynthetic rate (Pn), stomatal conductance (Cond), intercellular carbon dioxide concentration (Ci) and transpiration rate (Trmmol) through genome-wide association study (GWAS) and to inspect the relationships among these traits in soybean (Glycine max (L.) Merr.). A population of 219 soybean accessions was used in this research. A total of 12 quantitative trait loci (QTLs) associated with Pn, Cond, Ci and Trmmol were detected and distributed on chromosomes 1, 2, 6, 7, 9, 11, 12, 13, 15, 16, 18, and 19, and some of these QTL overlapped with previously reported QTLs. Furthermore, four candidate genes were identified, and there were significantly different expression levels between the high-light-efficiency accessions and low-light-efficiency accessions. These putative genes may participate in the regulation of photosynthesis through different metabolic pathways. Therefore, the associated novel QTLs and candidate genes detected in this study will provide a theoretical basis for genetic studies of photosynthesis and provide new avenues for crop improvement.

Entities:  

Keywords:  Candidate gene; GWAS; Photosynthesis; SNPs; Soybean

Mesh:

Substances:

Year:  2020        PMID: 32166500     DOI: 10.1007/s00438-020-01661-1

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  4 in total

1.  High-throughput characterization, correlation, and mapping of leaf photosynthetic and functional traits in the soybean (Glycine max) nested association mapping population.

Authors:  Christopher M Montes; Carolyn Fox; Álvaro Sanz-Sáez; Shawn P Serbin; Etsushi Kumagai; Matheus D Krause; Alencar Xavier; James E Specht; William D Beavis; Carl J Bernacchi; Brian W Diers; Elizabeth A Ainsworth
Journal:  Genetics       Date:  2022-05-31       Impact factor: 4.402

2.  Analysis of Physiological Variations and Genetic Architecture for Photosynthetic Capacity of Japanese Soybean Germplasm.

Authors:  Mohammad Jan Shamim; Akito Kaga; Yu Tanaka; Hiroshi Yamatani; Tatsuhiko Shiraiwa
Journal:  Front Plant Sci       Date:  2022-06-29       Impact factor: 6.627

3.  Genome-Wide Association Study Identifies Candidate Genes Related to the Linoleic Acid Content in Soybean Seeds.

Authors:  Qin Di; Angela Piersanti; Qi Zhang; Cristina Miceli; Hui Li; Xiaoyi Liu
Journal:  Int J Mol Sci       Date:  2021-12-31       Impact factor: 5.923

4.  A soybean sodium/hydrogen exchanger GmNHX6 confers plant alkaline salt tolerance by regulating Na+/K+ homeostasis.

Authors:  Ting Jin; Jiaxin An; Huadong Xu; Jie Chen; Lang Pan; Ranran Zhao; Ning Wang; Junyi Gai; Yan Li
Journal:  Front Plant Sci       Date:  2022-09-20       Impact factor: 6.627

  4 in total

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