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Genome-Wide Assessment of Polygalacturonases-Like (PGL) Genes of Medicago truncatula, Sorghum bicolor, Vitis vinifera and Oryza sativa Using Comparative Genomics Approach

Authors :
Amit Dubey
Dinesh Yadav
Jeya Nasim
Aiman Tanveer
Sangeeta Yadav
Gautam Anand
Nitish K. Singh
Source :
Interdisciplinary Sciences: Computational Life Sciences. 10:704-721
Publication Year :
2017
Publisher :
Springer Science and Business Media LLC, 2017.

Abstract

The polygalacturonases (PG) is one of the important members of pectin-degrading glycoside hydrolases of the family GH28. In plants, PG represents multigene families associated with diverse processes. In the present study, an attempt has been made to investigate the diversity of PG genes among monocots and dicots with respect to phylogeny, gene duplication and subcellular localization to get an insight into the evolutionary and functional attributes. The genome-wide assessment of Medicago truncatula, Vitis vinifera Sorghum bicolor, and Oryza sativa L. ssp. japonica genomes revealed 53, 49, 38 and 35 PG-like (PGL) genes, respectively. The predominance of glyco_hydro_28 domain, hydrophilic nature and genes with multiple introns were uniformly observed. The subcellular localization showed the presence of signal sequences targeting the secretory pathways. The phylogenetic tree constructed marked uniformity with three distinct clusters for each plant irrespective of the variability in the genome sizes. The site-specific selection pressure analysis based on K a/K s values showed predominance of purifying selection pressures among different groups identified in these plants. The functional divergence analysis revealed significant site-specific selective constraints. Results of site-specific selective pressure analysis throw light on the functional diversity of PGs in various plant processes and hence its constitutive nature. These findings are further strengthened by functional divergence analysis which reveals functionally diverse groups in all the four species representing monocots and dicots. The outcome of the present work could be utilized for deciphering the novel functions of PGs in plants.

Details

ISSN :
18671462 and 19132751
Volume :
10
Database :
OpenAIRE
Journal :
Interdisciplinary Sciences: Computational Life Sciences
Accession number :
edsair.doi.dedup.....4325c2f02bdc0bd7e94602dde6c34ff2
Full Text :
https://doi.org/10.1007/s12539-017-0230-y