Soybean Breeding on Seed Composition Trait

Soybean is a most important crop providing edible oil and plant protein source for human beings, in addition to animal feed because of high protein and oil content. This review summarized the progresses in the QTL mapping, candidate gene cloning and functional analysis and also the regulation of soybean oil and seed storage protein accumulation. Furthermore, as soybean genome has been sequenced and released, prospects of multiple omics and advanced biotechnology should be combined and applied for further refine research and high-quality breeding

Genome-wide identification and expression analysis of the CHYR gene family in Phaseolus vulgaris under abiotic stress at the seeding stage

ABSTRACTReally Interesting New Gene (RING) proteins are referred to as CHY zinc and ring finger protein (CHYR) members because they have the CHY domain, a type of protein that responds to abiotic stress. However, there are scant data on CHYR members in Phaseolus vulgaris (common bean). This study identified eight CHYR members (PvCHYRs) in the reference genome. A comprehensive analysis was performed to determine function, location, basic information, evolution, motifs, gene structure, cis-acting elements, collinearity, and expression patterns at the seeding stage. The results demonstrated that PvCHYRs might be involved in response to abiotic stressors, whereas some PvCHYRs were screened and can be used as candidate CHYR genes in further research. This study provides a basis for identifying and analyzing PvCHYR members and provides insights for their screening in future research

Analysis of the transcriptome and metabolome reveals phenylpropanoid mechanism in common bean (Phaseolus vulgaris) responding to salt stress at sprout stage

Abstract Common bean (Phaseolus vulgaris) seeds are important legume crops and an important source of dietary proteins and carbohydrates. Therefore, it is important to develop strategies to improve salt tolerance in common beans. In this study, transcriptome and metabolome analyses were conducted on local common bean variety under salt stress at the sprout stage for a period of 0, 12, and 24 h. Results showed that phenylpropanoid pathways (including phenylpropanoid biosynthesis and phenylalanine metabolism) and flavonoid pathways (including flavonoid biosynthesis and flavone and flavonol biosynthesis) played an important role in controlling responses to salt stress as evidenced by analysis of differentially expression genes, common expression patterns, WCGNA, and differentially altered metabolites (DAMs) analyses. In addition, exploration of the activities of 4‐coumarate‐CoA ligase (4CL), caffeoyl‐CoA O‐methyltransferase (CCoAOMT), peroxidase (POD), chalcone isomerase (CHI), dihydroflavonol‐4‐reductase (DFR), and flavonol synthase (FLS) further showed that phenylpropanoid and flavonoid pathways participate in plant responses to salt stress. Moreover, the phenylpropanoid pathways and flavonoid pathways were found to be potential pathways regulating plant response to salt stress based on transcriptome and metabolome analysis. The activities of 4CL, CCoAOMT, POD, CHI, DFR, and FLS revealed that these pathways are crucial to the regulation of plant responses to salt stress. These findings provided theoretical basis for further improvement of salt tolerance in common bean

Identification of Soybean Genes Whose Expression is Affected by the <i>Ensifer fredii</i> HH103 Effector Protein NopP

In some legume&#8315;rhizobium symbioses, host specificity is influenced by rhizobial nodulation outer proteins (Nops). However, the genes encoding host proteins that interact with Nops remain unknown. We generated an Ensifer fredii HH103 NopP mutant (HH103&#937;NopP), and analyzed the nodule number (NN) and nodule dry weight (NDW) of 10 soybean germplasms inoculated with the wild-type E. fredii HH103 or the mutant strain. An analysis of recombinant inbred lines (RILs) revealed the quantitative trait loci (QTLs) associated with NopP interactions. A soybean genomic region containing two overlapping QTLs was analyzed in greater detail. A transcriptome analysis and qRT-PCR assay were used to identify candidate genes encoding proteins that interact with NopP. In some germplasms, NopP positively and negatively affected the NN and NDW, while NopP had different effects on NN and NDW in other germplasms. The QTL region in chromosome 12 was further analyzed. The expression patterns of candidate genes Glyma.12g031200 and Glyma.12g073000 were determined by qRT-PCR, and were confirmed to be influenced by NopP

SNP-SNP Interaction Analysis on Soybean Oil Content under Multi-Environments

<div><p>Soybean oil content is one of main quality traits. In this study, we used the multifactor dimensionality reduction (MDR) method and a soybean high-density genetic map including 5,308 markers to identify stable single nucleotide polymorphism (SNP)—SNP interactions controlling oil content in soybean across 23 environments. In total, 36,442,756 SNP-SNP interaction pairs were detected, 1865 of all interaction pairs associated with soybean oil content were identified under multiple environments by the Bonferroni correction with <i>p</i> <3.55×10⁻¹¹. Two and 1863 SNP-SNP interaction pairs detected stable across 12 and 11 environments, respectively, which account around 50% of total environments. Epistasis values and contribution rates of stable interaction (the SNP interaction pairs were detected in more than 2 environments) pairs were detected by the two way ANOVA test, the available interaction pairs were ranged 0.01 to 0.89 and from 0.01 to 0.85, respectively. Some of one side of the interaction pairs were identified with previously research as a major QTL without epistasis effects. The results of this study provide insights into the genetic architecture of soybean oil content and can serve as a basis for marker-assisted selection breeding.</p></div

Interaction pairs numbers selected by MDR method in all environment (P<3.55×10⁻¹¹).

<p>Interaction pairs numbers selected by MDR method in all environment (P<3.55×10⁻¹¹).</p

Oil content of the population and parents in 23 environments across 11 year.

<p>Oil content of the population and parents in 23 environments across 11 year.</p

The circle represented the whole soybean genome.

<p>Blue lines represented epistatic interactions between two markers across eleven environment, the black lines represented epistatic interactions between two markers across twelve environment.</p