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Most bacterial gene families are biased toward specific chromosomal positions
Heinrich Heine Univ, Germany.
Linköping University, Department of Computer and Information Science, The Division of Statistics and Machine Learning. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0002-9154-1819
Linköping University, Department of Computer and Information Science, The Division of Statistics and Machine Learning. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0002-5816-4345
Heinrich Heine Univ, Germany.
2025 (English)In: Science, ISSN 0036-8075, E-ISSN 1095-9203, Vol. 388, no 6743, p. 186-191Article in journal (Refereed) Published
Abstract [en]

The arrangement of genes along bacterial chromosomes influences their expression through growth rate-dependent gene copy number changes during DNA replication. Although translation- and transcription-related genes often cluster near the origin of replication, the extent of positional biases across gene families remains unclear. We hypothesized that natural selection broadly favors specific chromosomal positions to optimize growth rate-dependent expression. Analyzing 910 bacterial species and proteomics data from Escherichia coli and Bacillus subtilis, we found that about two-thirds of bacterial gene families are positionally biased. Natural selection drives genes mainly toward the origin or terminus of replication, with the strongest selection in fast-growing species. Our findings reveal chromosomal positioning as a fundamental mechanism for coordinating gene expression with growth rate, highlighting evolutionary constraints on bacterial genome architecture.

Place, publisher, year, edition, pages
AMER ASSOC ADVANCEMENT SCIENCE , 2025. Vol. 388, no 6743, p. 186-191
National Category
Genetics and Genomics
Identifiers
URN: urn:nbn:se:liu:diva-214471DOI: 10.1126/science.adm9928ISI: 001494298000033PubMedID: 40208975Scopus ID: 2-s2.0-105003323651OAI: oai:DiVA.org:liu-214471DiVA, id: diva2:1967084
Note

Funding Agencies|Volkswagen Foundation Life? initiative; German Research Foundation (DFG) [CRC 1310]; Excellence Center at Linkoping-Lund in Information Technology (ELLIIT)

Available from: 2025-06-11 Created: 2025-06-11 Last updated: 2025-07-03

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CiteExportLink to record
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