Evidence map›Paper›PMID 38166955›Full record

ArticleGenome biology2024

Accounting for diverse transposable element landscapes is key to developing and evaluating accurate de novo annotation strategies.

Landen Gozashti, Hopi E Hoekstra

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In one paragraph

Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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.

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

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Landen GozashtiDepartment of Organismic and Evolutionary Biology, Museum of Comparative Zoology, and Howard Hughes Medical Institute, Harvard University, Cambridge, MA, 02138, USA.
Hopi E HoekstraDepartment of Organismic and Evolutionary Biology, Museum of Comparative Zoology, and Howard Hughes Medical Institute, Harvard University, Cambridge, MA, 02138, USA. hoekstra@oeb.harvard.edu.ORCID 0000-0003-1431-1769

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Transposable elements (TEs) are important drivers of genome evolution. Nonetheless, TE annotation remains a complex and challenging task. As more genomes from phylogenetically diverse species are published, a comprehensive pipeline for accurate annotation of diverse TEs is increasingly important. Recently, (Ou et al. Genome Biol. 20:275, 2019) developed a new comprehensive pipeline, Extensive De novo Transposable element Annotator (EDTA), and benchmarked its performance on the genomes of three species: maize, wheat, and fruit fly. Because TE landscapes can vary tremendously across species, we tested EDTA's performance on four additional genomes with different TE landscapes: mouse, zebrafish, zebra finch, and chicken. Our analysis reveals that EDTA faces challenges with repeat classification in these genomes and underperforms overall relative to its benchmark dataset. Notably, EDTA consistently misclassifies nonLTR retrotransposons as DNA transposons, resulting in erroneous TE annotations for species with considerable repertoires of nonLTR retrotransposons. Overall, we set expectations for EDTA's performance on genomes spanning additional diversity, urge caution when using EDTA on genomes with divergent TE repertoires from the species on which it was initially benchmarked, and hope to motivate the development of methods that are robust to both the diversity of TEs and TE landscapes observed across species.

Indexed as

DNA Transposable ElementsAnimalsDrosophilaEdetic AcidMiceRetroelementsZebrafishDNA Transposable ElementsEdetic AcidRetroelements

Identifiers

PMID38166955
PMCPMC10763064

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Registered trials

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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.