Evidence map›Paper›PMID 42823555›Full record

ArticleGenetica2026

Comparative mitogenomics of six Thrips species reveals conserved architecture, repeat variation, and nucleotide composition bias.

Kamel A Saleh, Yagna B Adhyaru, Kethirisetty Nikhila, J Gowrishankar, Ali Khatibi, Sarbeswara Hota, S Murugan, Gaurav Raj, Sumit Sharma

Abstract readComparative Study
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In one paragraph

Article in Genetica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Kamel A SalehFaculty of Allied Medical Sciences, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan.
Yagna B AdhyaruDepartment of Computer Engineering, Faculty of Engineering, Gokul Global University, Sidhpur, Gujarat, India.
Kethirisetty NikhilaDepartment of CSE(DS), Vardhaman College of Engineering, Hyderabad, Telangana, India.
J GowrishankarDepartment of Computer Science and Engineering, School of Engineering and Technology, JAIN (Deemed to be University), Bangalore, Karnataka, India.
Ali KhatibiManagement and Science University, Shah Alam, Selangor, Malaysia.
Sarbeswara HotaDepartment of Computer Application, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, 751030, India.
S MuruganDepartment of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India.
Gaurav RajDepartment of Computer Science and Engineering, Sharda School of Computing Science & Engineering, Sharda University, Greater Noida, Uttar Pradesh, India.
Sumit SharmaDepartment of Computer Science and Engineering, Chandigarh University, Mohali, Punjab, India. sumitsharma0111@outlook.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thrips are widely distributed insects with economic importance, but their evolutionary dynamics of the mitochondrial genome remain poorly understood. This study presented a computational mitogenomic analysis of six Thrips species obtained from a public repository. An analysis was performed to investigate patterns of genomic architecture and evolutionary variations. Mitochondrial genomes were analyzed using bioinformatic approaches, including annotation, syntenic comparison, gene content analysis, and SSR identification. Codon usage bias was measured using RSCU and CAI metrics, while skewness in nucleotide composition was studied using AT and GC skew analyses. Results suggest that there is generally a conservation of mitochondrial genome organization among the different species, but only limited rearrangements occur, and these are mainly associated with tRNA and non-coding sequences. The presence or absence of genes in Thrips was verified by re-annotation with MITOS2, followed by confirmation in the feature table in GenBank. SSR analysis showed few notable interspecific variability, where T. palmi and T. hawaiiensis seemed to have higher motif diversity and density, sort of. Codon usage patterns looked like they had a strong bias towards A/T-ending codons, and the CAI values suggested different levels of codon usage adaptation across species, using reference sets that were built from the mitochondrial protein-coding genes themselves. Also, we consistently observed positive AT-skew and negative GC-skew across all genomes, with more pronounced asymmetry in T. palmi and T. hawaiiensis. Overall, this work points to both conserved traits and lineage-specific features in Thrips mitochondrial genomes, giving some clues about their evolutionary dynamics while also broadening our understanding of insect mitochondrial genome evolution.

Indexed as

Genome, MitochondrialThysanopteraAnimalsBase CompositionCodonCodon UsageEvolution, MolecularGenetic VariationPhylogenyRNA, TransferCodonRNA, TransferCodon usage biasComparative genomicsMicrosatellitesMitochondrial genome evolutionMitogenome rearrangementNucleotide skewThrips

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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.