Evidence map›Paper›PMID 41940893›Full record

ArticleMolecular genetics and genomics : MGG2026

Establishment of the chromid database and analysis of evolutionary research.

Yi Liao, Boyan Wang, Yuhui Li, Wei Ni, Xia Li, Shengwei Hu

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Article in Molecular genetics and genomics : MGG, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yi LiaoCollege of Life Sciences, Shihezi University, 221 North Fourth Road, Shihezi City, 832000, Xinjiang Uygur Autonomous Region, China.ORCID http://orcid.org/0009-0007-6279-1740
Boyan WangCollege of Life Sciences, Shihezi University, 221 North Fourth Road, Shihezi City, 832000, Xinjiang Uygur Autonomous Region, China.
Yuhui LiCollege of Life Sciences, Shihezi University, 221 North Fourth Road, Shihezi City, 832000, Xinjiang Uygur Autonomous Region, China.
Wei NiCollege of Life Sciences, Shihezi University, 221 North Fourth Road, Shihezi City, 832000, Xinjiang Uygur Autonomous Region, China.
Xia LiCollege of Life Sciences, Shihezi University, 221 North Fourth Road, Shihezi City, 832000, Xinjiang Uygur Autonomous Region, China. Lilixia5010@sina.com.
Shengwei HuCollege of Life Sciences, Shihezi University, 221 North Fourth Road, Shihezi City, 832000, Xinjiang Uygur Autonomous Region, China. hushengwei@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In bacterial multireplicon genomes, in addition to the main chromosome, there is a widespread class of secondary replicons with a distinct evolutionary status known as chromids. These elements possess plasmid-like replication and partitioning systems, while their nucleotide composition and gene functions are highly similar to those of the main chromosome. Therefore, chromids are considered to play important roles in the evolution of bacterial genome architecture and in environmental adaptation. With advances in long-read sequencing technologies and breakthroughs in bioinformatics methods, metagenomic data resources have been greatly expanded. Using our previously developed automated tool, "Chromid-Finder", we systematically identified and collected chromid sequences from large-scale metagenomic assemblies. These data were then uniformly curated, classified, and centrally managed to construct a public database platform dedicated to chromids-Chromid Database. On this basis, we conducted comprehensive analyses of the evolutionary and genetic characteristics of chromids. Phylogenetic analyses revealed the overall evolutionary landscape of chromids. Variation analyses showed that SNP distributions on chromids exhibit clear and well-organized patterns, depicting a dynamic population that is continuously adapting to the environment through fine-scale sequence tuning and non-coding regulatory mechanisms. Structural variation analyses further identified several hotspot regions significantly enriched in key genes related to metabolic functions, nutrient acquisition, and antibiotic resistance. The distribution patterns of recombination events suggest that their occurrence is likely driven primarily by non-phylogenetic factors such as environmental conditions and ecological niches. In addition, systematic quantification of heritable mobile genetic elements indicated that the number of integrative and conjugative elements (ICEs) largely determines the overall mobile element burden within chromids.

Indexed as

BacteriaDatabases, GeneticEvolution, MolecularGenome, BacterialRepliconComputational BiologyMetagenomicsPhylogenyPolymorphism, Single NucleotideChromidChromid databaseMobile genetic elementsPhylogeneticsStructural variation

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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.