Skip to content
#protein folding Open access

Mitochondrial Genome Comparison and Phylogenetic Analysis of the Family Carabidae (Coleoptera: Adephaga)

Sep 2026 · Biology · 0 citations · 100 references
Coleoptera Taxonomy and Distribution

Abstract

The family Carabidae, one of the largest families within Coleoptera, represents one of the most important groups of predatory insects and bioindicators in ecosystems, playing significant roles in agricultural pest control and ecological environment assessment. However, the phylogenetic relationships within this family remain poorly resolved, and publicly available mitochondrial genome data remain limited. In this study, we employed high-throughput sequencing to determine and report for the first time the complete mitogenomes of four carabid species—Poecilus fortipes (Chaudoir, 1850) and Poecilus gebleri (Dejean, 1828) from the subfamily Pterostichinae, and Pristosia nitidula (A. Morawitz, 1862) and Cephalosdrophus marinae (Lassalle & Marcilhac, 1999) from the subfamily Platyninae—as well as to resequence Carabus brandti Faldermann, 1835 from the subfamily Carabinae. Using 124 carabid mitochondrial genome sequences obtained from NCBI, this study reconstructed the phylogenetic relationships among 21 subfamilies within Carabidae. The results showed that the sizes of mitochondrial genomes ranged from 15,800 to 17,352 bp in length and contained 37 typical genes and a control region. Combined with previously reported mitogenomic data, we found all protein-coding genes (PCGs) initiated with standard start codons ATN or TTG and ended with TAN or an incomplete stop codon single T. Evolutionary rate analysis (Ka/Ks) revealed ATP8 was the fastest-evolving gene, whereas COX1 was the slowest. Except for tRNA-Ser (AGN), whose DHU arm simply formed a loop, and tRNA-Phe (C. marinae), whose TΨC loop was absent, the rest of the tRNA sequences could be folded into a typical cloverleaf secondary structure. Our results suggest that the phylogenetic position and taxonomic status of Cicindelinae remain unresolved, with alternative placements recovered depending on the dataset analyzed. The monophyly of most carabid subfamilies was confirmed, with the exception of Brachininae, Trechinae, Licininae, and Platyninae. The findings of this study provide valuable insights into carabid phylogeny. Further refinement of the phylogenetic relationships within the family can be achieved by additional nuclear markers, broader taxon sampling, and complementary phylogenomic datasets.

Read PDF

Similar papers

#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Book Open access Jul 2015

Understanding the affect of developers: theoretical background and guidelines for psychoempirical software engineering

This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 56 citations · ⚡4
#machine learning Open access May 2017

What Influences the Speed of Prototyping? An Empirical Investigation of Twenty Software Startups

This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.

Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson · 44 citations · ⚡5
#protein folding Open access Sep 2026

Programmable design of functional proteins from natural language

Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or sequence constraints.

Fengyuan Dai, Shiyang You, Yudian Zhu et al. · 31 citations · ⚡3

Related blog posts

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

Google DeepMind Blog Nov 25, 2025

AlphaFold: Five years of impact

Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.