Literature DB >> 33256228

Evolutionary Understanding of Metacaspase Genes in Cultivated and Wild Oryza Species and Its Role in Disease Resistance Mechanism in Rice.

Ruchi Bansal1,2, Nitika Rana1,2, Akshay Singh1, Pallavi Dhiman1,2, Rushil Mandlik1,2, Humira Sonah1, Rupesh Deshmukh1, Tilak Raj Sharma1,3.   

Abstract

Metacaspases (MCs), a class of cysteine-dependent proteases found in plants, fungi, and protozoa, are predominately involved in programmed cell death processes. In this study, we identified metacaspase genes in cultivated and wild rice species. Characterization of metacaspase genes identified both in cultivated subspecies of Oryza sativa, japonica, and indica and in nine wild rice species was performed. Extensive computational analysis was conducted to understand gene structures, phylogenetic relationships, cis-regulatory elements, expression patterns, and haplotypic variations. Further, the haplotyping study of metacaspase genes was conducted using the whole-genome resequencing data publicly available for 4726 diverse genotype and in-house resequencing data generated for north-east Indian rice lines. Sequence variations observed among wild and cultivated rice species for metacaspase genes were used to understand the duplication and neofunctionalization events. The expression profiles of metacaspase genes were analyzed using RNA-seq transcriptome profiling in rice during different developmental stages and stress conditions. Real-time quantitative PCR analysis of candidate metacaspase genes in rice cultivars Pusa Basmati-1 in response to Magnaporthe oryzae infection indicated a significant role in the disease resistance mechanism. The information provided here will help to understand the evolution of metacaspases and their role under stress conditions in rice.

Entities:  

Keywords:  Oryza species; abiotic stress; evolution; gene expression; haplotype diversity; rice blast

Mesh:

Year:  2020        PMID: 33256228      PMCID: PMC7760854          DOI: 10.3390/genes11121412

Source DB:  PubMed          Journal:  Genes (Basel)        ISSN: 2073-4425            Impact factor:   4.096


  47 in total

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Journal:  Nucleic Acids Res       Date:  2001-05-01       Impact factor: 16.971

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Journal:  Plant Cell       Date:  1999-03       Impact factor: 11.277

4.  Identification of paracaspases and metacaspases: two ancient families of caspase-like proteins, one of which plays a key role in MALT lymphoma.

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Journal:  Mol Cell       Date:  2000-10       Impact factor: 17.970

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Authors:  R. I. Pennell; C. Lamb
Journal:  Plant Cell       Date:  1997-07       Impact factor: 11.277

6.  Aspasing out metacaspases and caspases: proteases of many trades.

Authors:  Peter V Bozhkov; Andrei P Smertenko; Boris Zhivotovsky
Journal:  Sci Signal       Date:  2010-12-14       Impact factor: 8.192

7.  Prediction of protein subcellular localization.

Authors:  Chin-Sheng Yu; Yu-Ching Chen; Chih-Hao Lu; Jenn-Kang Hwang
Journal:  Proteins       Date:  2006-08-15

8.  Circos: an information aesthetic for comparative genomics.

Authors:  Martin Krzywinski; Jacqueline Schein; Inanç Birol; Joseph Connors; Randy Gascoyne; Doug Horsman; Steven J Jones; Marco A Marra
Journal:  Genome Res       Date:  2009-06-18       Impact factor: 9.043

9.  Type II metacaspases Atmc4 and Atmc9 of Arabidopsis thaliana cleave substrates after arginine and lysine.

Authors:  Dominique Vercammen; Brigitte van de Cotte; Geert De Jaeger; Dominique Eeckhout; Peter Casteels; Klaas Vandepoele; Isabel Vandenberghe; Jozef Van Beeumen; Dirk Inzé; Frank Van Breusegem
Journal:  J Biol Chem       Date:  2004-08-23       Impact factor: 5.157

10.  GSDS 2.0: an upgraded gene feature visualization server.

Authors:  Bo Hu; Jinpu Jin; An-Yuan Guo; He Zhang; Jingchu Luo; Ge Gao
Journal:  Bioinformatics       Date:  2014-12-10       Impact factor: 6.937

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  1 in total

1.  The Metacaspase TaMCA-Id Negatively Regulates Salt-Induced Programmed Cell Death and Functionally Links With Autophagy in Wheat.

Authors:  Jie-Yu Yue; Ying-Jie Wang; Jin-Lan Jiao; Wen-Wen Wang; Hua-Zhong Wang
Journal:  Front Plant Sci       Date:  2022-06-23       Impact factor: 6.627

  1 in total

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