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Genome-wide association studies reveal novel QTLs for agronomic traits in soybean

Introduction

Soybean, as a globally significant crop, has garnered substantial attention due to its agricultural importance. The utilization of molecular approaches to enhance grain yield in soybean has gained popularity.

Methods

In this study, we conducted a genome-wide association study (GWAS) using 156 Chinese soybean accessions over a two-year period. We employed the general linear model (GLM) and the mixed linear model (MLM) to analyze three agronomic traits: pod number, grain number, and grain weight.

Results

Our findings revealed significant associations between qgPNpP-98, qgGNpP-89 and qgHGW-85 QTLs and pod number, grain number, and grain weight, respectively. These QTLs were identified on chromosome 16, a region spanning 413171bp exhibited associations with all three traits.

Discussion

These QTL markers identified in this study hold potential for improving yield and agronomic traits through marker-assisted selection and genomic selection in breeding programs.

Genome-scale cis-acting catabolite-responsive element editing confers Bacillus pumilus LG3145 plant-beneficial functions

Rhizosphere dwelling microorganism such as Bacillus spp. are helpful for crop growth. However, these functions are adversely affected by long-term synthetic fertilizer application. We developed a modified CRISPR/Cas9 system using non-specific single-guide RNAs to disrupt the genome-wide cis-acting catabolite-responsive elements (cres) in a wild-type Bacillus pumilus strain, which conferred dual plant-benefit properties. Most of the mutations occurred around imperfectly matched cis-acting elements (cre-like sites) in genes that are mainly involved in carbon and secondary metabolism pathways. The comparative metabolomics and transcriptome results revealed that carbon is likely transferred to some pigments, such as riboflavin, carotenoid, and lycopene, or non-ribosomal peptides, such as siderophore, surfactin, myxochelin, and bacilysin, through the pentose phosphate and amino acid metabolism pathways. Collectively, these findings suggested that the mutation of global cre-like sequences in the genome might alter carbon flow, thereby allowing beneficial biological interactions between the rhizobacteria and plants.

Wekemo Bioincloud: A user-friendly platform for meta-omics data analyses

The increasing application of meta-omics approaches to investigate the structure, function, and intercellular interactions of microbial communities has led to a surge in available data. However, this abundance of human and environmental microbiome data has exposed new scalability challenges for existing bioinformatics tools. In response, we introduce Wekemo Bioincloud-a specialized platform for -omics studies. This platform offers a comprehensive analysis solution, specifically designed to alleviate the challenges of tool selection for users in the face of expanding data sets. As of now, Wekemo Bioincloud has been regularly equipped with 22 workflows and 65 visualization tools, establishing itself as a user-friendly and widely embraced platform for studying diverse data sets. Additionally, the platform enables the online modification of vector outputs, and the registration-independent personalized dashboard system ensures privacy and traceability. Wekemo Bioincloud is freely available at https://www.bioincloud.tech/.