ArticlePloS one2014
Molecular cloning, characterization and positively selected sites of the glutathione S-transferase family from Locusta migratoria.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Review
- Differential detoxification enzyme profiles in C-corn strain and R-rice strain of Spodoptera frugiperda by comparative genomic analysis: insights into host adaptation.BMC genomics · 2025Article
- Effects of phenol on glutathione S-transferase expression and enzyme activity in Chironomus kiiensis larvae.Ecotoxicology (London, England) · 2019Article
- Multiple Glutathione S-Transferase Genes in Heortia vitessoides (Lepidoptera: Crambidae): Identification and Expression Patterns.Journal of insect science (Online) · 2018Article
- De Novo Assembly and Characterization of the Transcriptome of Grasshopper Shirakiacris shirakii.International journal of molecular sciences · 2016Article
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glutathione S-transferases (GSTs) are multifunctional enzymes that are involved in the metabolism of endogenous and exogenous compounds and are related to insecticide resistance. The purpose of this study was to provide new information on the molecular characteristics and the positive selection of locust GSTs. Based on the transcriptome database, we sequenced 28 cytosolic GSTs and 4 microsomal GSTs from the migratory locust (Locusta migratoria). We assigned the 28 cytosolic GSTs into 6 classes--sigma, epsilon, delta, theta, omega and zeta, and the 4 microsomal GSTs into 2 subclasses--insect and MGST3. The tissue- and stage-expression patterns of the GSTs differed at the mRNA level. Further, the substrate specificities and kinetic constants of the cytosolic GSTs differed markedly at the protein level. The results of likelihood ratio tests provided strong evidence for positive selection in the delta class. The result of Bayes Empirical Bayes analysis identified 4 amino acid sites in the delta class as positive selection sites. These sites were located on the protein surface. Our findings will facilitate the elucidation of the molecular characteristics and evolutionary aspects of insect GST superfamily.
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