Alternative splicing (AS) is a common post-transcriptional regulatory mechanism that modulates gene expression to increase proteome diversity. Increasing evidence indicates that AS plays an important role in regulating plant stress responses. However, the mechanism by which AS coordinates with transcriptional regulation to regulate drought responses in soybean remains poorly understood. In this study, we performed a genome-wide analysis of AS events in soybean (Glycine max) roots grown under various drought conditions using the high-throughput RNA-sequencing method, identifying 385, 989, 1429, and 465 AS events that were significantly differentially spliced under very mild drought stress, mild drought stress, severe drought stress, and recovery after severe drought conditions, respectively. Among them, alternative 3′ splice sites and skipped exons were the major types of AS. Overall, 2120 genes that experienced significant AS regulation were identified from these drought-treated root samples. Gene Ontology term analysis indicated that the AS regulation of binding activity has vital roles in the drought response of soybean root. Notably, the genes encoding splicing regulatory factors in the spliceosome pathway and mRNA surveillance pathway were enriched according to the Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. Splicing regulatory factor-related genes in soybean root also responded to drought stress and were alternatively spliced under drought conditions. Taken together, our data suggest that drought-responsive AS acts as a direct or indirect mode to regulate drought response of soybean roots. With further in-depth research of the function and mechanism of AS in the process of abiotic stress, these results will provide a new strategy for enhancing stress tolerance of plants.
Synergistic optimization of key agronomic traits by traditional breeding has dramatically enhanced crop productivity in the past decades. However, the genetic basis underlying coordinated regulation of yield- and quality-related traits remains poorly understood. Here, we dissected the genetic architectures of seed weight and oil content by combining genome-wide association studies (GWAS) and transcriptome-wide association studies (TWAS) using 421 soybean (Glycine max) accessions. We identified 26 and 33 genetic loci significantly associated with seed weight and oil content by GWAS, respectively, and detected 5,276 expression quantitative trait loci (eQTLs) regulating expression of 3,347 genes based on population transcriptomes. Interestingly, a gene module (IC79), regulated by two eQTL hotspots, exhibited significant correlation with both seed weigh and oil content. Twenty-two candidate causal genes for seed traits were further prioritized by TWAS, including Regulator of Weight and Oil of Seed 1 (GmRWOS1), which encodes a sodium pump protein. GmRWOS1 was verified to pleiotropically regulate seed weight and oil content by gene knockout and overexpression. Notably, allelic variations of GmRWOS1 were strongly selected during domestication of soybean. This study uncovers the genetic basis and network underlying regulation of seed weight and oil content in soybean and provides a valuable resource for improving soybean yield and quality by molecular breeding.
Background: CesA and Csl gene families, which belong to the cellulose synthase gene superfamily, plays an important role in the biosynthesis of the plant cell wall. Although researchers have investigated this gene superfamily in several model plants, to date, no comprehensive analysis has been conducted in the common bean. Results: In this study, we identified 39 putative cellulose synthase genes from the common bean genome sequence. Then, we performed a bioinformatics analysis of this gene family involving sequence alignment, phylogenetic analysis, gene structure, collinearity analysis and chromosome location. We found all members possess a cellulose_synt domain. Phylogenetic analysis revealed that these cellulose synthase genes may be classified into five subfamilies, and that members in the same subfamily share conserved exon-intron distribution and motif compositions. Abundant and distinct cis-acting elements in the 2 k basepairs upstream regulatory regions indicate that the cellulose synthase gene family may plays a vital role in the growth and development of common bean. Moreover, the 39 cellulose synthase genes are distributed on 10 of the 11 chromosomes. Additionally expression analysis shows that all CesA/Csl genes selected are constitutively expressed in the pod development. Conclusions: This research reveals both the putative biochemical and physiological functions of cellulose synthase genes in common bean and implies the importance of studying non-model plants to understand the breadth and diversity of cellulose synthase genes.