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QTL mapping and BSR-seq revealed loci and candidate genes associated with the sporadic multifoliolate phenotype in soybean (Glycine max)
Monday, 2024/11/11 | 08:05:02
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Zhili Wang, Yongchao Niu, Yichun Xie, Cheng Huang, Wai-Shing Yung, Man-Wah Li, Fuk-Ling Wong & Hon-Ming Lam Theoretical and Applied Genetics; November 8 2024; vol.137; article 262 Key messageThe QTLs and candidate genes governing the multifoliolate phenotype were identified by combining linkage mapping with BSR-seq, revealing a possible interplay between genetics and the environment in soybean leaf development. AbstractSoybean, as a legume, is typified by trifoliolate leaves. Although multifoliolate leaves (compound leaves with more than three leaflets each) have been reported in soybean, including sporadic appearances in the first compound leaves in a recombinant inbred line (RIL) population from a cross between cultivated soybean C08 and wild soybean W05 from this study, the genetic basis of this phenomenon is still unclear. Here, we integrated quantitative trait locus (QTL) mapping with bulked segregant RNA sequencing (BSR-seq) to identify the genetic loci associated with the multifoliolate phenotype in soybean. Using linkage mapping, ten QTLs related to the multifoliolate trait were identified. Among these, a significant and major QTL, qMF-2-1 on chromosome 2 and consistently detected across biological replicates, explained more than 10% of the phenotypic variation. Together with BSR-seq analyses, which analyzed the RILs with the highest multifoliolate frequencies and those with the lowest frequencies as two distinct bulks, two candidate genes were identified: Glyma.06G204300 encoding the transcription factor TCP5, and Glyma.06G204400 encoding LONGIFOLIA 2 (LNG2). Transcriptome analyses revealed that stress-responsive genes were significantly differentially expressed between high-multifoliolate occurrence lines and low occurrence ones, indicating environmental factors probably influence the appearance of multifoliolate leaves in soybean through stress-responsive genes. Hence, this study offers new insights into the genetic mechanism behind the multifoliolate phenotype in soybean.
See https://link.springer.com/article/10.1007/s00122-024-04765-z
Figure 4 The single-nucleotide polymorphism (SNP) density between the high-multifoliolate frequency bulk (MUL) and the low-multifoliolate frequency bulk (TRI) on the soybean chromosomes. (a) Distribution of the SNPs between V0-MUL and V0-TRI. (b) Distribution of the SNPs between V1-MUL and V1-TRI. The color of each bar represents the number of SNPs within a 100-kbp window based on the color key. The horizontal axis represents the length of the chromosomes. V0, shoot apical bud from the true leaf stage and V1, leaf tissue from the first compound leaf
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