Comprehensive analysis of codon usage pattern in Withania somnifera and its associated pathogens: Meloidogyne incognita and Alternaria alternata View Full Text


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Article Info

DATE

2022-04-13

AUTHORS

Jyoti Chandan, Suruchi Gupta, Vikash Babu, Deepika Singh, Ravail Singh

ABSTRACT

Meloidogyne incognita (Root-knot nematode) and Alternaria alternata (fungus) were among the dominant parasites of the medicinal plant Withania somnifera. Despite the fatal nature of their infection, a comprehensive study to explore their evolution and adaptation is lacking. The present study elucidates evolutionary and codon usage bias analysis of W. somnifera (host plant), M. incognita (root-knot nematode) and A. alternata (fungal parasite). The results of the present study revealed a weak codon usage bias prevalent in all the three organisms. Based on the nucleotide analysis, genome of W. somnifera and M. incognita was found to be A-T biased while A. alternata had GC biased genome. We found high similarity of CUB pattern between host and its nematode pathogen as compared to the fungal pathogen. Inclusively, both the evolutionary forces influenced the CUB in host and its associated pathogens. However, neutrality plot indicated the pervasiveness of natural selection on CUB of the host and its pathogens. Correspondence analysis revealed the dominant effect of mutation on CUB of W. somnifera and M. incognita while natural selection was the main force affecting CUB of A. alternata. Taken together the present study would provide some prolific insight into the role of codon usage bias in the adaptability of pathogens to the host’s environment for establishing parasitic relationship. More... »

PAGES

129-144

References to SciGraph publications

  • 2020-07-29. Grapevine (Vitis spp.) rootstock stilbenoid associations with host resistance to and induction by root knot nematodes, Meloidogyne incognita in BMC RESEARCH NOTES
  • 2006-08-14. Codon usage patterns in Nematoda: analysis based on over 25 million codons in thirty-two species in GENOME BIOLOGY
  • 2020-10-19. Distribution and incidence of root-knot nematodes (Meloidogyne spp.) on pepper in Sinaloa, Mexico in TROPICAL PLANT PATHOLOGY
  • 1986-12. An evolutionary perspective on synonymous codon usage in unicellular organisms in JOURNAL OF MOLECULAR EVOLUTION
  • 2021-04-05. Codon usage bias and environmental adaptation in microbial organisms in MOLECULAR GENETICS AND GENOMICS
  • 2002-05. Ultrastructure of the host–pathogen interface in daylily leaves infected by the rust fungus Puccinia hemerocallidis in PROTOPLASMA
  • 2019-07-22. Comprehensive profiling of codon usage signatures and codon context variations in the genus Ustilago in WORLD JOURNAL OF MICROBIOLOGY AND BIOTECHNOLOGY
  • 2014-02-21. First analysis of synonymous codon usage in porcine circovirus in ARCHIVES OF VIROLOGY
  • 2021-06-28. Comparative study of codon usage profiles of Zingiber officinale and its associated fungal pathogens in MOLECULAR GENETICS AND GENOMICS
  • 2014-01-13. Heat treatment prior to testing allows detection of antigen of Dirofilaria immitis in feline serum in PARASITES & VECTORS
  • 2015-01-02. Uncovering the novel characteristics of Asian honey bee, Apis cerana, by whole genome sequencing in BMC GENOMICS
  • 2001-06-14. Plant pathogens and integrated defence responses to infection in NATURE
  • 2005-02-15. Comparative context analysis of codon pairs on an ORFeome scale in GENOME BIOLOGY
  • 2008-12. Studies on leaf spot disease of Withania somnifera and its impact on secondary metabolites in INDIAN JOURNAL OF MICROBIOLOGY
  • 1995-03. Intrastrand parity rules of DNA base composition and usage biases of synonymous codons in JOURNAL OF MOLECULAR EVOLUTION
  • 2000-02. Black Spot of Peach Caused by Alternaria alternata (Fr.) Keissler in JOURNAL OF GENERAL PLANT PATHOLOGY
  • 2001-10. Near Homogeneity of PR2-Bias Fingerprints in the Human Genome and Their Implications in Phylogenetic Analyses in JOURNAL OF MOLECULAR EVOLUTION
  • 2018-05-09. Amino acid compositions contribute to the proteins’ evolution under the influence of their abundances and genomic GC content in SCIENTIFIC REPORTS
  • Identifiers

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    http://scigraph.springernature.com/pub.10.1007/s10709-022-00154-w

    DOI

    http://dx.doi.org/10.1007/s10709-022-00154-w

    DIMENSIONS

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    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/35419766


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