Evidence map›Paper›PMID 28921302›Full record

ArticleGenetica2018

Comparative evolutionary genomics of Corynebacterium with special reference to codon and amino acid usage diversities.

Shilpee Pal, Indrani Sarkar, Ayan Roy, Pradeep K Das Mohapatra, Keshab C Mondal, Arnab Sen

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Article in Genetica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shilpee PalBioinformatics Infrastructure Facility, Department of Microbiology, Vidyasagar University, Midnapore, 721 102, India.
Indrani SarkarBioinformatics Facility, Department of Botany, University of North Bengal, Darjeeling, 734 013, India.
Ayan RoyBioinformatics Facility, Department of Botany, University of North Bengal, Darjeeling, 734 013, India.
Pradeep K Das MohapatraBioinformatics Infrastructure Facility, Department of Microbiology, Vidyasagar University, Midnapore, 721 102, India.
Keshab C MondalBioinformatics Infrastructure Facility, Department of Microbiology, Vidyasagar University, Midnapore, 721 102, India.
Arnab SenBioinformatics Facility, Department of Botany, University of North Bengal, Darjeeling, 734 013, India. senarnab_nbu@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study has been aimed to the comparative analysis of high GC composition containing Corynebacterium genomes and their evolutionary study by exploring codon and amino acid usage patterns. Phylogenetic study by MLSA approach, indel analysis and BLAST matrix differentiated Corynebacterium species in pathogenic and non-pathogenic clusters. Correspondence analysis on synonymous codon usage reveals that, gene length, optimal codon frequencies and tRNA abundance affect the gene expression of Corynebacterium. Most of the optimal codons as well as translationally optimal codons are C ending i.e. RNY (R-purine, N-any nucleotide base, and Y-pyrimidine) and reveal translational selection pressure on codon bias of Corynebacterium. Amino acid usage is affected by hydrophobicity, aromaticity, protein energy cost, etc. Highly expressed genes followed the cost minimization hypothesis and are less diverged at their synonymous positions of codons. Functional analysis of core genes shows significant difference in pathogenic and non-pathogenic Corynebacterium. The study reveals close relationship between non-pathogenic and opportunistic pathogenic Corynebaterium as well as between molecular evolution and survival niches of the organism.

Indexed as

CodonEvolution, MolecularGenome, BacterialAmino AcidsCorynebacteriumGenes, BacterialGenetic VariationGenomicsPhylogenyTranscription, GeneticAmino AcidsCodonCorrespondence analysisIndelMLSASynonymous nucleotide substitutionTranslational selection

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.