Surprising effects of differential loss in genome evolution: the last-one-out

Gene loss is an important process in genome evolution, though its power is often underestimated. If a gene is present at the root of a phylogenetic tree and can be lost in one lineage across the tree, it can potentially be lost in all, leading to gene extinction. Just before gene extinction, there will be one lineage that still retains the gene, generating a "last-one-out" distribution. Such an isolated gene presence will emulate the result of recent lateral gene acquisition, even though its distribution was generated by loss. How probable is it to observe "last-one-out" distributions in real data? Here, we mathematically derive this probability and find that it is surprisingly high, depending upon the tree and the gene loss rate. Examples from real data show that loss can readily account for observed frequencies of last-one-out gene distributions that might otherwise be attributed to lateral gene transfer.

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Publication Details

Journal
FEMS Microbiology Letters
Published
2025-01-01
DOI
https://doi.org/10.1093/femsle/fnaf051
Citations
4
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
3.22

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article

Surprising effects of differential loss in genome evolution: the last-one-out

William Martin, Mike Steel, Nico Bremer
4 citations
FEMS Microbiology Letters
Genomics and Phylogenetic Studies
3.22
article

Surprising effects of differential loss in genome evolution: the last-one-out

William Martin, Mike Steel, Nico Bremer
article en
4 citations

Abstract

Gene loss is an important process in genome evolution, though its power is often underestimated. If a gene is present at the root of a phylogenetic tree and can be lost in one lineage across the tree, it can potentially be lost in all, leading to gene extinction. Just before gene extinction, there will be one lineage that still retains the gene, generating a "last-one-out" distribution. Such an isolated gene presence will emulate the result of recent lateral gene acquisition, even though its distribution was generated by loss. How probable is it to observe "last-one-out" distributions in real data? Here, we mathematically derive this probability and find that it is surprisingly high, depending upon the tree and the gene loss rate. Examples from real data show that loss can readily account for observed frequencies of last-one-out gene distributions that might otherwise be attributed to lateral gene transfer.

FEMS Microbiology LettersVol. 372
University of Canterbury (NZ), Heinrich Heine University Düsseldorf (DE), Christ University (IN)
Alexander von Humboldt-Stiftung, European Commission
Openalex Percentile: Top 8%
Genomics and Phylogenetic Studies
3.22
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Surprising effects of differential loss in genome evolution: the last-one-out — William Martin, Mike Steel, et al. · FEMS Microbiology Letters (2025) | TGRS Research Map | TGRS