Genetic map construction and QTL analysis of leaf-related traits in soybean under monoculture and relay intercropping

Abstract

Soybean ( Glycine max L.) is an important food and oil crop widely planted by intercropping in southwest China. The shade caused by intercropping changes plant growth traits, such as soybean leaf and dry mass, thereby reducing yields. To improve the yield and elucidate the genetic mechanism of the leaf-related traits in intercropped soybeans, we measured the F 6:7–8 recombinant inbred lines (RILs) derived from the cross of ‘Nandou 12’ and ‘Jiuyuehuang’ for six leaf-related traits under monoculture and relay intercropping in 2015 and 2016. We found 6366 single-nucleotide polymorphisms (SNPs) markers that covered the whole genome of soybean distributed in 20 linkage groups, which spanned 2818.67 cM with an average interval of 0.44 cM between adjacent markers. Nineteen quantitative trait loci (QTLs) were detected in two environments in 2 years. Three candidate genes associated to leaf-related traits were found according to gene expression and GO enrichment analyses. These results revealed the susceptibility of leaf phenotype to shading and helped elucidate the mechanisms that control leaf-related traits.

Characterization of the Genetic Basis and Biological Significance of Heteroblasty in Soybean

“…According to published data from soybase.org (https://www.soybase.org/sitemap.php), a total of more than 70 quantitative trait loci (QTLs) associated with soybean lea et shape have been found on 18 of 20 chromosomes, with the highest concentrations found on chromosomes 6,15 and 19 (20 QTLs). These QTLs align with several annotated genes that have been predicted to regulate leaf morphology and cloned to clarify their functions (Wang et al 2019;Liu et al 2019). One single recessive gene ln has been found to contribute to lanceolate leaf formation, while, its dominant allele, Ln, contributes to ovate leaf formation (Fang et al 2013).…”

Photosynthesis in a Changing Global Climate: Scaling Up and Scaling Down in Crops

“…Indeed, putative QTLs have been detected for Single-Photon Avalanche Diode (SPAD) value, chlorophyll content, stomatal conductance, sink size, source strength, carbon isotope discrimination, and carbohydrate translocation ( Ulloa et al, 2000 ; Teng et al, 2004 ; Takai et al, 2010 , 2013 ). Potential QTLs have been revealed also for net CO 2 assimilation rate (A n ) in rice ( Ishimaru et al, 2001 ; Price et al, 2002 ; Zhao et al, 2011 ; Hirotsu et al, 2017 ; Ye et al, 2017 ; Adachi et al, 2019 ), barley ( Teulat et al, 2002 ; Cantalapiedra et al, 2015 ; Liu et al, 2017 ; Du et al, 2019 ), maize ( Fracheboud et al, 2002 ), soybean ( Jun et al, 2014 ; Lv et al, 2018 ; Liu D. et al, 2019 ), cucumber ( Zhang et al, 2004 ), and legumes ( Muchero et al, 2009 ; Kumar et al, 2014 ; Li F. et al, 2015 ). In the case of rice, several loci enhancing leaf A n have been detected on chromosomes 3, 4, 5, 6, 8, 9, and 11 ( Adachi et al, 2011 ; Gu et al, 2012 ).…”

Light Deficiency Inhibits Growth by Affecting Photosynthesis Efficiency as well as JA and Ethylene Signaling in Endangered Plant Magnolia sinostellata

“…The light environment under canopy shade can be quite complex, containing low light intensity and inconsistent light quality [66,67]. To reduce the confounding factors, many studies focused on the impacts of low light intensity on a number of plant species, such as soybean [68], rice [69], Halimium halimifolium [70]. Accordingly, in this study, we mainly focused on the effect of shading caused light deficiency on M. sinostellata and black shade net was used to create light deficiency conditions.…”