Evidence map›Paper›PMID 42337238›Full record

ArticleNature communications2026

Jumbo circular extrachromosomal elements of methane-oxidizing archaea with variably extensive metabolic and defense gene repertoires.

Ling-Dong Shi, Bethany C Kolody, Shuai Wang, Luis E Valentin-Alvarado, Shufei Lei, Rohan Sachdeva, Jillian F Banfield

Abstract read
In one paragraph

Article in Nature communications, 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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

7 authors.

Ling-Dong ShiInnovative Genomics Institute, University of California, Berkeley, CA, USA.ORCID http://orcid.org/0000-0001-5304-7919
Bethany C KolodyInnovative Genomics Institute, University of California, Berkeley, CA, USA.
Shuai WangInnovative Genomics Institute, University of California, Berkeley, CA, USA.
Luis E Valentin-AlvaradoInnovative Genomics Institute, University of California, Berkeley, CA, USA.ORCID http://orcid.org/0000-0001-7988-8556
Shufei LeiEarth and Planetary Science, University of California, Berkeley, CA, USA.ORCID http://orcid.org/0000-0001-7272-3812
Rohan SachdevaInnovative Genomics Institute, University of California, Berkeley, CA, USA.ORCID http://orcid.org/0000-0001-9284-2245
Jillian F BanfieldInnovative Genomics Institute, University of California, Berkeley, CA, USA. jbanfield@berkeley.edu.ORCID http://orcid.org/0000-0001-8203-8771

Funding

Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation) INV-037174Bill & Melinda Gates Foundation INV-037174Gates Foundation INV-037174U.S. Department of Energy (DOE) DE-AC02-05CH11231
6 · The paper itself

Abstract

Archaeal extrachromosomal elements (ECEs) are arguably the least well understood of all genetic elements, and few have >200 kbp (jumbo) genomes. Here, we report circular, jumbo ECEs with genomes of up to 535 kbp in length that associate with anaerobic methane-oxidizing Methanoperedens archaea. Notably, a 409-kbp genome related to jumbo ECEs is integrated into a subset of the ~4.2 Mbp Methanoperedens chromosomes at the tRNA-Asp genes. This represents the largest integrative element in Archaea and supports the jumbo ECE-host association. Multiple genome alignments and phylogenetic analyses suggest that the large ECE sizes developed by extensive DNA acquisition from Methanoperedens. The newly identified ECEs encode, and in some cases express, metabolic genes such as tetrahydromethanopterin S-methyltransferase exclusively involved in methane metabolism, and genes for nitrogen and sulfur compound transformations. Also encoded are defense systems, some of which are absent in hosts, such as hybrid Type I/Type III-A CRISPR-Cas systems. In contrast to viruses and plasmids, they have host-like replication machinery and occur at stable copy ratios of 1.44 ± 0.24:1 to the host. Overall, our results reveal a spectrum of jumbo ECEs of Methanoperedens, ranging from plasmid-like to minichromosome-like.

Indexed as

ArchaeaGenome, ArchaealMethaneExtrachromosomal DNAOxidation-ReductionPhylogenyExtrachromosomal DNAMethane

Identifiers

PMID42337238
PMCPMC13444090

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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.