PT  - JOURNAL ARTICLE
AU  - Mitchell J. Syberg-Olsen
AU  - Arkadiy I. Garber
AU  - Patrick J. Keeling
AU  - John P. McCutcheon
AU  - Filip Husnik
TI  - Pseudofinder: detection of pseudogenes in prokaryotic genomes
AID  - 10.1101/2021.10.07.463580
DP  - 2021 Jan 01
TA  - bioRxiv
PG  - 2021.10.07.463580
4099  - http://biorxiv.org/content/early/2021/10/08/2021.10.07.463580.short
4100  - http://biorxiv.org/content/early/2021/10/08/2021.10.07.463580.full
AB  - Prokaryotic genomes are generally gene dense and encode relatively few pseudogenes, or nonfunctional/inactivated remnants of genes. However, in certain contexts, such as recent ecological shifts or extreme population bottlenecks (such as those experienced by symbionts and pathogens), pseudogenes can quickly accumulate and form a substantial fraction of the genome. Identification of pseudogenes is, thus, a critical step for understanding the evolutionary forces acting upon, and the functional potential encoded within, prokaryotic genomes. Here, we present Pseudofinder, an open-source software dedicated to pseudogene identification and analysis. With Pseudofinder’s multi-pronged, reference-based approach, we demonstrate its capacity to detect a wide variety of pseudogenes, including those that are highly degraded and typically missed by gene-calling pipelines, as well newly formed pseudogenes, which can have only one or a few inactivating mutations. Additionally, Pseudofinder can detect intact genes undergoing relaxed selection, which may indicate incipient pseudogene formation. Implementation of Pseudofinder in annotation pipelines will not only clarify the functional potential of sequenced microbes, but will also generate novel insights and hypotheses regarding the evolutionary dynamics of bacterial and archaeal genomes.Competing Interest StatementThe authors have declared no competing interest.