Evidence map›Paper›PMID 42258539›Full record

ArticleNucleic acids research2026

Stable inheritance of the Streptomyces linear plasmid SCP1 by dual ParABS partition systems.

Leah McPhillips, Govind Chandra, Thomas C McLean, Ngat T Tran, Tung B K Le

Abstract read
In one paragraph

Article in Nucleic acids research, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Leah McPhillipsDepartment of Molecular Microbiology, John Innes Centre, Norwich NR4 7UH, United Kingdom.ORCID 0000-0002-7435-6953
Govind ChandraDepartment of Molecular Microbiology, John Innes Centre, Norwich NR4 7UH, United Kingdom.ORCID 0000-0002-7882-6676
Thomas C McLeanDepartment of Molecular Microbiology, John Innes Centre, Norwich NR4 7UH, United Kingdom.
Ngat T TranDepartment of Molecular Microbiology, John Innes Centre, Norwich NR4 7UH, United Kingdom.
Tung B K LeDepartment of Molecular Microbiology, John Innes Centre, Norwich NR4 7UH, United Kingdom.ORCID 0000-0003-4764-8851

Funding

Biotechnology and Biological Sciences Research CouncilInstitute Strategic Program Harnessing Biosynthesis for Sustainable Food and Health (HBio) BB/X01097X/1John Innes FoundationLister Institute FellowshipWellcome Trust 221776/Z/2/Z
6 · The paper itself

Abstract

Low-copy-number plasmids often rely on dedicated maintenance mechanisms, such as partitioning systems, to ensure stable inheritance across generations. These partition systems actively segregate sister plasmid copies during cell division and are classified by the NTPase types they encode. While the distribution and organization of partition system types are well characterized in Enterobacteriaceae plasmids, their functions and diversity across broader bacterial taxa remain poorly understood. Here, we analyze a large and diverse plasmid database to examine the distribution of partition system types and find that plasmids encoding multiple partition systems are more common than previously recognized. Notably, many plasmids encode multiple partition systems of the same type, an organization that has not been previously studied. To further investigate, we employ the Streptomyces linear plasmid SCP1, which encodes two type I ATP- and CTP-dependent parABS partition systems, as a model. Sequence analysis shows that both SCP1-encoded ParBs harbor less conserved CTPase domains than their chromosomal counterparts, suggesting they might diverge from canonical ParB functions. However, using chromatin immunoprecipitation with deep sequencing, biochemical assays, and targeted mutagenesis, we demonstrate that both proteins are bona fide ParB CTPase proteins: they recognize distinct parS sites on SCP1, bind and hydrolyze CTP, and slide to accumulate on DNA. Despite both systems being functional, only parABS1, but not parABS2, is crucial for SCP1 maintenance under standard laboratory conditions. Altogether, these findings provide the first functional characterization of dual ParB-CTPase partition systems coexisting on a single plasmid, advancing our understanding of plasmid maintenance in Streptomyces, and reveal new aspects of the diversity and distribution of plasmid partition systems in bacteria.

Indexed as

Bacterial ProteinsPlasmidsStreptomycesExtrachromosomal DNABacterial Proteinschromosome partition proteins, bacterialExtrachromosomal DNA

Identifiers

PMID42258539
PMCPMC13245405

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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.