Bhardwaj, R. | Search bioRxiv

bioRxiv2023

An associative transcriptomics study on rice bean (Vigna umbellata) provides new insights into genetic basis and candidate genes governing flowering, maturity and seed weight

Rice bean is an underrated legume with significant potential to support food and nutritional security worldwide, being a rich source of proteins, minerals, and essential fatty acids. Therefore, we considered three pivotal production traits of rice bean; flowering, maturity and seed weight, to identify associated candidate genes. One-hundred diverse genotypes out of 1800 evaluated rice bean accessions from the Indian National Genebank were considered for phenotypic data collection and genotyping by transcriptome sequencing approach. Association analysis involving various GWAS models was conducted to identify significant marker-trait associations. The results revealed association of 82 markers on 48 transcripts for flowering, 26 markers on 22 transcripts for maturity and 22 markers on 21 transcripts for seed weight. The annotation of associated transcripts unraveled the functional genes related to the considered traits. Among the significant candidate genes identified, HSC80, P-II PsbX, phospholipid-transporting-ATPase-9, pectin-acetylesterase-8 and E3-ubiquitin-protein-ligase-RHG1A were found associated with flowering. Further, associations of WRKY1 and DEAD-box-RH27 with seed weight, PIF3 and pentatricopeptide-repeat-containing-gene with maturity & seed weight and aldo-keto-reductase with flowering & maturity have been revealed. The present investigation provides insights into the genetic mechanisms governing economically-essential traits like flowering, maturity and seed weight that can be potentially utilized for rice bean improvement. HighlightsThe present investigation is the first associative transcriptomics approach implemented on Vigna umbellata. Based on the marker-trait association analysis, candidate genes for flowering, maturity and seed weight traits are reported.

bioinformatics↗

bioRxiv2021

Dissecting gating mechanisms of Orai calcium channel paralogs using constitutively active Orai mutants that mimic STIM1-gated state

In humans, there are three paralogs of the Orai Ca2+ channel, which lie at the heart of the store-operated calcium entry (SOCE) machinery. While the STIM-mediated gating mechanism of Orai channels is still being actively investigated, several artificial and natural variants are known to cause constitutive activity of the human Orai1 channel. Surprisingly, little is known about the conservation of the gating mechanism among the different human Orai paralogs and orthologs in other species. In our work, we show that the mutation corresponding to the activating mutation H134A in transmembrane helix 2 (TM2) of human Orai1 also activates Orai2 and Orai3, likely via a similar mechanism. However, this cross-paralog conservation does not apply to the "ANSGA" nexus mutations in TM4 of human Orai1 which mimic the STIM1-activated state of the channel. Investigating the mechanistic background of these differences, we identified two positions, H171 and F246 in human Orai1, which directly control the channel activation triggered by the "ANSGA" mutations in Orai1. Our results shed new light on these important gating checkpoints and show that the gating mechanism of the Orai channels is affected by multiple factors that are not necessarily evolutionarily conserved, such as the TM4-TM3 coupling.

cell biology↗