Genomic diversity of aquaporins across genus Oryza provides a rich genetic resource for development of climate resilient rice cultivars

BACKGROUND

Plant aquaporins are critical genetic players performing multiple biological functions, especially climate resilience and water-use efficiency. Their genomic diversity across genus Oryza is yet to be explored.

RESULTS

This study identified 369 aquaporin-encoding genes from 11 cultivated and wild rice species and further categorized these into four major subfamilies, among which small basic intrinsic proteins are speculated to be ancestral to all land plant aquaporins. Evolutionarily conserved motifs in peptides of aquaporins participate in transmembrane transport of materials and their relatively complex gene structures provide an evolutionary playground for regulation of genome structure and transcription. Duplication and evolution analyses revealed higher genetic conservation among Oryza aquaporins and strong purifying selections are assisting in conserving the climate resilience associated functions. Promoter analysis highlighted enrichment of gene upstream regions with cis-acting regulatory elements involved in diverse biological processes, whereas miRNA target site prediction analysis unveiled substantial involvement of osa-miR2102-3p, osa-miR2927 and osa-miR5075 in post-transcriptional regulation of gene expression patterns. Moreover, expression patterns of japonica aquaporins were significantly perturbed in response to different treatment levels of six phytohormones and four abiotic stresses, suggesting their multifarious roles in plants survival under stressed environments. Furthermore, superior haplotypes of seven conserved orthologous aquaporins for higher thousand-grain weight are reported from a gold mine of 3,010 sequenced rice pangenomes.

CONCLUSIONS

This study unveils the complete genomic atlas of aquaporins across genus Oryza and provides a comprehensive genetic resource for genomics-assisted development of climate-resilient rice cultivars.

Genome-wide identification and expression analyses of WRKY transcription factor family members from chickpea (Cicer arietinum L.) reveal their role in abiotic stress-responses

BACKGROUND

WRKY proteins play a vital role in the regulation of several imperative plant metabolic processes and pathways, especially under biotic and abiotic stresses. Although WRKY genes have been characterized in various major crop plants, their identification and characterization in pulse legumes is still in its infancy. Chickpea (Cicer arietinum L.) is the most important pulse legume grown in arid and semi-arid tropics.

OBJECTIVE

In silico identification and characterization of WRKY transcription factor-encoding genes in chickpea genome.

METHODS

For this purpose, a systematic genome-wide analysis was carried out to identify the non-redundant WRKY transcription factors in the chickpea genome.

RESULTS

We have computationally identified 70 WRKY-encoding non-redundant genes which were randomly distributed on all the chickpea chromosomes except chromosome 8. The evolutionary phylogenetic analysis classified the WRKY proteins into three major groups (I, II and III) and seven sub-groups (IN, IC, IIa, IIb, IIc, IId and IIe). The gene structure analysis revealed the presence of 2-7 introns among the family members. Along with the presence of absolutely conserved signatory WRKY domain, 19 different domains were also found to be conserved in a group-specific manner. Insights of gene duplication analysis revealed the predominant role of segmental duplications for the expansion of WRKY genes in chickpea. Purifying selection seems to be operated during the evolution and expansion of paralogous WRKY genes. The transcriptome data-based in silico expression analysis revealed the differential expression of CarWRKY genes in root and shoot tissues under salt, drought, and cold stress conditions. Moreover, some of these genes showed identical expression pattern under these stresses, revealing the possibility of involvement of these genes in conserved abiotic stress-response pathways.

CONCLUSION

This genome-wide computational analysis will serve as a base to accelerate the functional characterization of WRKY TFs especially under biotic and abiotic stresses.