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Transcription factors (TFs) help plants respond to environmental stresses by regulating gene expression. Up till now, studies on the MYB family of TFs have mainly focused on the highly abundant R2R3-subtype. While the less well-known 1R-subtype has been generally shown to enhance abscisic acid (ABA) sensitivity by acting as transcriptional activators, the mechanisms of their functions are unclear. Here we identified an ABA sensitivity-associated gene from soybean, ABA-Sensitive 1 (GmABAS1), of the 1R-subtype of MYB. Using the GFP-GmABAS1 fusion protein, we demonstrated that GmABAS1 is localized in the nucleus, and with yeast reporter systems, we showed that it is a transcriptional repressor. We then identified the target gene of GmABAS1 to be Glyma.01G060300, an annotated ABI five-binding protein 3 and showed that GmABAS1 binds to the promoter of Glyma.01G060300 both in vitro and in vivo. Furthermore, Glyma.01G060300 and GmABAS1 exhibited reciprocal expression patterns under osmotic stress, inferring that GmABAS1 is a transcriptional repressor of Glyma.01G060300. As a further confirmation, AtAFP2, an orthologue of Glyma.01G060300, was down-regulated in GmABAS1-transgenic Arabidopsis thaliana, enhancing the plant’s sensitivity to ABA. This is the first time a 1R-subtype of MYB from soybean has been reported to enhance ABA sensitivity by acting as a transcriptional repressor., ABAS1 negatively regulates the expression of a soybean AFP3 homologue and enhances ABA sensitivity. This is the first report on the transcriptional repressor activity of a 1R-subtype MYB from soybean.

ChIP-seq is widely used for mapping the transcription factor (TF) binding sites throughout the genome in vivo. In this study, we adopted and modified ChIPmentation, a fast, robust, low-input requirement ChIP-seq method, to a transient expression system using soybean protoplasts to expedite the exploration of TF binding sites. To test this new protocol, we expressed a tagged version of a C2H2-type zinc finger TF, JAGGED1 (GmJAG1), in soybean protoplasts and successfully identified its binding sites in the soybean genome. Furthermore, valuable genomic features such as a novel GmJAG1-binding motif, and the epigenetic characteristics as well as an enhancer-like function of GmJBSs were also found via coupling ATAC-seq and H3K27me3 ChIP-seq data. The application of the modified ChIPmentation protocol in this study using soybean protoplasts provided a new approach for rapid elucidation of how a TF binds to the various target genes in the soybean genome, as illustrated here using GmJAG1.

Flavonoids are a class of polyphenolic compounds that naturally occur in plants. Sub-groups of flavonoids include flavone, flavonol, flavanone, flavanonol, anthocyanidin, flavanol and isoflavone. The various modifications on flavonoid molecules further increase the diversity of flavonoids. Certain crops are famous for being enriched in specific flavonoids. For example, anthocyanins, which give rise to a purplish color, are the characteristic compounds in berries; flavanols are enriched in teas; and isoflavones are uniquely found in several legumes. It is widely accepted that the antioxidative properties of flavonoids are beneficial for human health. In this review, we summarize the classification of the different sub-groups of flavonoids based on their molecular structures. The health benefits of flavonoids are addressed from the perspective of their molecular structures. The flavonoid biosynthesis pathways are compared among different crops to highlight the mechanisms that lead to the differential accumulation of different sub-groups of flavonoids. In addition, the mechanisms and genes involved in the transport and accumulation of flavonoids in crops are discussed. We hope the understanding of flavonoid accumulation in crops will guide the proper balance in their consumption to improve human health.

To obtain a comprehensive understanding of transcriptomic reprogramming under salt stress, we performed whole-transcriptome sequencing on the leaf and root of soybean seedlings subjected to salt treatment in a time-course experiment (0h, 1h, 2h, 4 h, 24h and 48h). This time series dataset enabled us to identify important hubs and connections of gene expressions. We highlighted the analysis on phytohormone signaling pathways and their possible cross-talks. Differential expressions were also found among those genes involved in carbon and nitrogen metabolism. In general, the salt-treated seedlings slowed down their photosynthetic functions and ramped up sugar catabolism to provide extra energy for survival. Primary nitrogen assimilation was shut down while nitrogen resources were redistributed. Overall, the results from the transcriptomic analyses indicate that the plant uses a multi-pronged approach to overcome salt stress, with both fast-acting, immediate physiological responses and longer-term reactions that may involve metabolic adjustment.

The F-box family is one of the largest gene families in plants that regulate diverse life processes, including salt responses. However, the knowledge of the soybean F-box genes and their roles in salt tolerance remains limited. Here, we conducted a genome-wide survey of the soybean F-box family, and their expression analysis in response to salinity via in silico analysis of online RNA-sequencing (RNA-seq) data and quantitative reverse-transcription polymerase chain reaction (qRT-PCR) to predict their potential functions. A total of 725 potential F-box proteins encoded by 509 genes were identified and classified into 9 subfamilies. The gene structures, conserved domains and chromosomal distributions were characterized. There are 76 pairs of duplicate genes identified, including genome-wide segmental and tandem duplication events, which lead to the expansion of the number of F-box genes. The in silico expression analysis showed that these genes would be involved in diverse developmental functions and play an important role in salt response. Our qRT-PCR analysis confirmed 12 salt-responding F-box genes. Overall, our results provide useful information on soybean F-box genes, especially their potential roles in salt tolerance.