Analysis of Codon Usage Patterns and Predicted Highly Expressed Genes for Six Phytopathogenic Xanthomonas Genomes Shows a High Degree of Conservation is a research paper published in In Silico Biology: Journal of Biological Systems Modeling and Multi-Scale Simulation (2007). On theSindex it has a DataRank of 0.508. It has been cited 10 times, with 6 citing works in its 1-hop citation network.
Members of the genus Xanthomonas are significant phytopathogens, which cause diseases in several economically important crops including rice, canola, tomato, citrus, etc. We have analyzed the genomes of six recently sequenced Xanthomonas strains for their synonymous codon usage patterns for all of protein coding genes and specific genes associated with pathogenesis, and determined the predicted highly expressed (PHX) genes by the use of the codon adaptation index (CAI). Our results show considerable heterogeneity among the genes of these moderately G+C rich genomes. Most of the genes were moderate to highly biased in their codon usage. However, unlike ribosomal protein genes, which were governed by translational selection, those genes associated with pathogenesis (GAP) were affected by mutational pressure and were predicted to have moderate to low expression levels. Only two out of 339 GAP genes were in the PHX category. PHX genes present in clusters of orthologous groups of proteins (COGs) were identified. Genes in the plasmids present in two strains showed moderate to low expression level and only a couple of genes featured in the PHX list. Common genes present in the top-20 PHX gene-list were identified and their possible functions are discussed. Correspondence analysis showed that genes are highly confined to a core in the plot.
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Base Score Contribution
0.360
From this paper's citation signal
Citation Network Contribution
0.149
From 5 citing papers with measurable signal
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 71% comes from its base citations and 29% from the citation network (5 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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