title: A Genetic Relationship between Phosphorus Efficiency and Photosynthetic Traits in Soybean As Revealed by QTL Analysis Using a High-Density Genetic Map.
abstract: Plant productivity relies on photosynthesis, and the photosynthetic process relies on phosphorus (P). The genetic basis of photosynthesis and P efficiency (PE) affecting yield has been separately characterized in various crop plants. However, the genetic relationship between PE and photosynthesis remains to be elucidated. In this study, we used a combined analysis of phenotypic correlation, linkage mapping, and expression analysis to dissect the relationship between PE and photosynthesis. We found significant phenotypic correlations between PE and photosynthetic related traits, particularly under low P stress. A total of 172 QTLs for both traits were detected and classified into 29 genomic regions. 12 (41.4%) of 29 regions were detected to be associated with both PE and photosynthetic related traits. Three major QTLs, q14-2, q15-2, and q19-2, were found to be associated with both traits and explained 6.6-58.9% of phenotypic variation. A photosynthetic-specific QTL cluster, q12-1, was detected under both normal and low P conditions, suggesting that genes responsible for this region were less effected by low P stress, and could be used in high photosynthetic efficiency breeding programs. In addition, several candidate genes with significantly differential expression upon low P stress, such as a purple acid phosphatase gene (Glyma.19G193900) within q19-2 region, were considered as promising candidates involved in regulating both soybean PE and photosynthetic capacity. Our results reveal a significant genetic relationship between PE and photosynthetic traits, and uncover several major genomic regions specific or common to these traits. The markers linked closely to these major QTLs may be used for selection of soybean varieties with improved P efficiency and photosynthetic capacity.
authors.affiliation: Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University Zhengzhou, China.
authors.forename: Hongyan
authors.initials: H
authors.lastname: Li
authors.affiliation: National Key Laboratory of Crop Genetics and Germplasm Enhancement, National Center for Soybean Improvement, Nanjing Agricultural University Nanjing, China.
authors.forename: Yuming
authors.initials: Y
authors.lastname: Yang
authors.affiliation: Department of Biology, University of North Carolina Charlotte, NC, USA.
authors.forename: Hengyou
authors.initials: H
authors.lastname: Zhang
authors.affiliation: Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University Zhengzhou, China.
authors.forename: Shanshan
authors.initials: S
authors.lastname: Chu
authors.affiliation: Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University Zhengzhou, China.
authors.forename: Xingguo
authors.initials: X
authors.lastname: Zhang
authors.affiliation: Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University Zhengzhou, China.
authors.forename: Dongmei
authors.initials: D
authors.lastname: Yin
authors.affiliation: National Key Laboratory of Crop Genetics and Germplasm Enhancement, National Center for Soybean Improvement, Nanjing Agricultural University Nanjing, China.
authors.forename: Deyue
authors.initials: D
authors.lastname: Yu
authors.affiliation: Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University Zhengzhou, China.
authors.forename: Dan
authors.initials: D
authors.lastname: Zhang
keywords: QTL analysis; genetic relationship; high-density genetic map; phosphorus efficiency; photosynthetic traits; soybean