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Loss of seed-coat impermeability was essential in the domestication of many leguminous crops to promote the production of their highly nutritious seeds. Here we show that seed-coat impermeability in wild soybean is controlled by a single gene, GmHs1-1, which encodes a calcineurin-like metallophosphoesterase transmembrane protein. GmHs1-1 is primarily expressed in the Malpighian layer of the seed coat and is associated with calcium content. The transition from impermeability to permeability in domesticated soybean was caused by artificial selection of a point mutation in GmHs1-1. Interestingly, a number of soybean landraces evaded selection for permeability because of an alternative selection for seed-coat cracking that also enables seed imbibition. Despite the single origin of the mutant allele Gmhs1-1, the distribution pattern of allelic variants in the context of soybean population structure and the detected signature of genomic introgression between wild and cultivated soybeans suggest that Gmhs1-1 may have experienced reselection for seed-coat permeability.

Crops are often subjected to periods of drought stress during their life cycle. However, how stress response mechanisms contribute to the crosstalk between stress signaling pathways and developmental signaling pathways is still unknown. We built a gene co-expression network from a spatio-temporal transcriptomic map of the drought stress response in maize (Zea mays), profiled from three tissues and four developmental stages and characterized hub genes associated with duplication events, selection, and regulatory networks. Co-expression analysis grouped drought-response genes into ten modules, covering 844 highly connected genes (hub genes). Of these, 15.4% hub genes had diverged by whole-genome duplication events and 2.5% might then have been selected during natural domestication and artificial improvement processes, successively. We identified key transcription factor hubs in a transcriptional regulatory network, which may function as a crosstalk mechanism between drought stress and developmental signalling pathways in maize. Understanding the evolutionary biases that have evolved to enhance drought adaptation lays the foundation for further dissection of crosstalk between stress signalling pathways and developmental signalling pathways in maize, towards molecular design of new cultivars with desirable yield and greater stress tolerance.

Summary• Dehydrins are a type of late embryogenesis abundant protein. Some dehydrins are involved in the response to various abiotic stresses. Accumulation of dehydrins enhances the drought, cold and salt tolerances of transgenic plants, although the underlying mechanism is unclear. MtCAS31 (Medicago Truncatula cold-acclimation specific protein 31) is a Y 2 K 4 -type dehydrin that was isolated from Medicago truncatula.• We analyzed the subcellular and histochemical localization of MtCAS31, and the expression patterns of MtCAS31 under different stresses. Transgenic Arabidopsis that overexpressed MtCAS31 was used to determine the function of MtCAS31. A yeast two-hybrid assay was used to screen potential proteins that could interact with MtCAS31. The interaction was confirmed by bimolecular fluorescence complementation (BiFC) assay.• After a 3-h drought treatment, the expression of MtCAS31 significantly increased 600-fold. MtCAS31 overexpression dramatically reduced stomatal density and markedly enhanced the drought tolerance of transgenic Arabidopsis. MtCAS31 could interact with AtICE1 (inducer of CBF expression 1) and the AtICE1 homologous protein Mt7g083900.1, which was identified from Medicago truncatula both in vitro and in vivo.• Our findings demonstrate that a dehydrin induces decreased stomatal density. Most importantly, the interaction of MtCAS31 with AtICE1 plays a role in stomatal development. We hypothesize that the interaction of MtCAS31 and AtICE1 caused the decrease in stomatal density to enhance the drought resistance of transgenic Arabidopsis.

BackgroundThe entire world is facing a deteriorating environment. Understanding the mechanisms underlying plant responses to external abiotic stresses is important for breeding stress-tolerant crops and herbages. Phytohormones play critical regulatory roles in plants in the response to external and internal cues to regulate growth and development. Medicago falcata is one of the stress-tolerant candidate leguminous species and is able to fix atmospheric nitrogen. This ability allows leguminous plants to grow in nitrogen deficient soils.MethodsWe performed Illumina sequencing of cDNA prepared from abiotic stress treated M. falcata. Sequencedreads were assembled to provide a transcriptome resource. Transcripts were annotated using BLASTsearches against the NCBI non-redundant database and gene ontology definitions were assigned. Acomparison among the three abiotic stress treated samples was carried out. The expression of transcriptswas confirmed with qRT-PCR.ResultsWe present an abiotic stress-responsive M. falcata transcriptome using next-generation sequencing data from samples grown under standard, dehydration, high salinity, and cold conditions. We combined reads from all samples and de novo assembled 98,515 transcripts to build the M. falcata gene index. A comprehensive analysis of the transcriptome revealed abiotic stress-responsive mechanisms underlying the metabolism and core signalling components of major phytohormones. We identified nod factor signalling pathways during early symbiotic nodulation that are modified by abiotic stresses. Additionally, a global comparison of homology between the M. falcata and M. truncatula transcriptomes, along with five other leguminous species, revealed a high level of global sequence conservation within the family.ConclusionsM. falcata is shown to be a model candidate for studying abiotic stress-responsive mechanisms in legumes. This global gene expression analysis provides new insights into the biochemical and molecular mechanisms involved in the acclimation to abiotic stresses. Our data provides many gene candidates that might be used for herbage and crop breeding. Additionally, FalcataBase (http://bioinformatics.cau.edu.cn/falcata/) was built for storing these data.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-015-2019-x) contains supplementary material, which is available to authorized users.