MOBHunter: a data integration platform for identification and classification of mobile genetic elements in microbial genomes

Horizontal gene transfer plays a critical role in microbial genome evolution and adaptation. Integrated foreign DNA fragments encompass various types of mobile genetic elements (MGEs), ranging from small transposons to conspicuous integrative and conjugative elements. These regions often confer advantageous traits, including antibiotic resistance or novel metabolic capabilities, and contain foreign sequence signatures and hallmark genes such as transposases, integrases, etc. While bioinformatic tools target specific MGE subsets using alignments, compositional signatures, or diagnostic gene mapping, no single platform offers a unified framework for comprehensive, evidence-based, MGE identification and classification. To address this challenge, we developed MOBHunter, an advanced bioinformatic pipeline that consolidates standalone tools and in-house algorithms. Unlike basic tool concatenation, MOBHunter yields consensus identifications, score-supported classifications, and enhanced web visualizations. The platform reduces end user analysis time by integrating data collection, processing, and interpretation into a unified workflow. It delivers robust classifications of MGEs into distinct families and provides a comprehensive overview of the flexible regions of any given input genome. URL: https://informatica.utem.cl/mobhunter/.

Authors

Institutions

Publication Details

Journal
Nucleic Acids Research
Published
2025-05-14
DOI
https://doi.org/10.1093/nar/gkaf396
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MOBHunter: a data integration platform for identification and classification of mobile genetic elements in microbial genomes

Camila Rojas-Villalobos, Raquel Quatrini, Pedro Sepúlveda-Rebolledo, Francisco J. Ossandon et al.
Nucleic Acids Research
Genomics and Phylogenetic Studies
article

MOBHunter: a data integration platform for identification and classification of mobile genetic elements in microbial genomes

Camila Rojas-Villalobos, Raquel Quatrini, Pedro Sepúlveda-Rebolledo, Francisco J. Ossandon, Tomás Pérez‐Acle, Ana Moya-Beltrán, Francisco Issotta, Camila Castillo-Vilcahuaman, Dilanaz Arisan, Abraham Zapata-Araya, David Castro-Salinas
article en

Abstract

Horizontal gene transfer plays a critical role in microbial genome evolution and adaptation. Integrated foreign DNA fragments encompass various types of mobile genetic elements (MGEs), ranging from small transposons to conspicuous integrative and conjugative elements. These regions often confer advantageous traits, including antibiotic resistance or novel metabolic capabilities, and contain foreign sequence signatures and hallmark genes such as transposases, integrases, etc. While bioinformatic tools target specific MGE subsets using alignments, compositional signatures, or diagnostic gene mapping, no single platform offers a unified framework for comprehensive, evidence-based, MGE identification and classification. To address this challenge, we developed MOBHunter, an advanced bioinformatic pipeline that consolidates standalone tools and in-house algorithms. Unlike basic tool concatenation, MOBHunter yields consensus identifications, score-supported classifications, and enhanced web visualizations. The platform reduces end user analysis time by integrating data collection, processing, and interpretation into a unified workflow. It delivers robust classifications of MGEs into distinct families and provides a comprehensive overview of the flexible regions of any given input genome. URL: https://informatica.utem.cl/mobhunter/.

Nucleic Acids ResearchVol. 53(W1)
Universidad Peruana Cayetano Heredia (PE), San Sebastián University (CL), Fundación Ciencia and Vida (CL), Metropolitan University of Technology (CL)
Agencia Nacional de Investigación y Desarrollo
Partnerships for the goals
Openalex Percentile: Top 90%
Genomics and Phylogenetic Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.