ArticleInsect molecular biology2010
Comparative analysis of nuclear tRNA genes of Nasonia vitripennis and other arthropods, and relationships to codon usage bias.
Article in Insect molecular biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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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.
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Who cites it
15 citing papers in PubMed, 23 citations in OpenAlex.
- Comprehensive Codon Usage Analysis Across Diverse Plant Lineages.Biochemical genetics · 2026Article
- Comparative mitogenomic and evolutionary analysis of Lycaenidae (Insecta: Lepidoptera): Potential association with high-altitude adaptation.Frontiers in genetics · 2023Article
- Honeybee Iflaviruses Pack Specific tRNA Fragments from Host Cells in Their Virions.Chembiochem : a European journal of chemical biology · 2022Article
- Molecular features similarities between SARS-CoV-2, SARS, MERS and key human genes could favour the viral infections and trigger collateral effects.Scientific reports · 2021Article
- Multifaceted functional implications of an endogenously expressed tRNA fragment in the vector mosquito Aedes aegypti.PLoS neglected tropical diseases · 2018Article
- Codon usage and codon context bias in Xanthophyllomyces dendrorhous.BMC genomics · 2015Article
- Modelling the efficiency of codon-tRNA interactions based on codon usage bias.DNA research : an international journal for rapid publication of reports on genes and genomes · 2014Article
- Preliminary characterization of mitochondrial genome of Melipona scutellaris, a Brazilian stingless bee.BioMed research international · 2014Article
- Antagonistic relationships between intron content and codon usage bias of genes in three mosquito species: functional and evolutionary implications.Evolutionary applications · 2013Article
- The distribution of synonymous codon choice in the translation initiation region of dengue virus.PloS one · 2013Article
- Intrinsic features of Aedes aegypti genes affect transcriptional responsiveness of mosquito genes to dengue virus infection.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2012Article
- Translational selection of genes coding for perfectly conserved proteins among three mosquito vectors.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2012Article
- Genome-wide comparative analysis of simple sequence coding repeats among 25 insect species.Gene · 2012Article
- Comparative analysis of codon usage bias and codon context patterns between dipteran and hymenopteran sequenced genomes.PloS one · 2012Article
- Coadaptation of isoacceptor tRNA genes and codon usage bias for translation efficiency in Aedes aegypti and Anopheles gambiae.Insect molecular biology · 2011Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Using bioinformatics methods, we identified a total of 221 and 199 tRNA genes in the nuclear genomes of Nasonia vitripennis and honey bee (Apis mellifera), respectively. We performed comparative analyses of Nasonia tRNA genes with honey bee and other selected insects to understand genomic distribution, sequence evolution and relationship of tRNA copy number with codon usage patterns. Many tRNA genes are located physically close to each other in the form of small clusters in the Nasonia genome. However, the number of clusters and the tRNA genes that form such clusters vary from species to species. In particular, the Ala-, Pro-, Tyr- and His-tRNA genes tend to accumulate in clusters in Nasonia but not in honey bee, whereas the bee contains a long cluster of 15 tRNA genes (of which 13 are Gln-tRNAs) that is absent in Nasonia. Though tRNA genes are highly conserved, contrasting patterns of nucleotide diversity are observed among the arm and loop regions of tRNAs between Nasonia and honey bee. Also, the sequence convergence between the reconstructed ancestral tRNAs and the present day tRNAs suggests a common ancestral origin of Nasonia and honey bee tRNAs. Furthermore, we also present evidence that the copy number of isoacceptor tRNAs (those having a different anticodon but charge the same amino acid) is correlated with codon usage patterns of highly expressed genes in Nasonia.
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