Evidence map›Paper›PMID 39540856›Full record

ArticleGenome biology and evolution2024

MATEdb2, a Collection of High-Quality Metazoan Proteomes across the Animal Tree of Life to Speed Up Phylogenomic Studies.

Gemma I Martínez-Redondo, Carlos Vargas-Chávez, Klara Eleftheriadi, Lisandra Benítez-Álvarez, Marçal Vázquez-Valls, Rosa Fernández

Abstract read
In one paragraph

Article in Genome biology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed.

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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

6 authors.

Gemma I Martínez-RedondoMetazoa Phylogenomics Lab, Biodiversity Program, Institute of Evolutionary Biology (CSIC-University Pompeu Fabra), 08003 Barcelona, Spain.ORCID 0000-0001-5633-8690
Carlos Vargas-ChávezMetazoa Phylogenomics Lab, Biodiversity Program, Institute of Evolutionary Biology (CSIC-University Pompeu Fabra), 08003 Barcelona, Spain.ORCID 0000-0003-3635-1411
Klara EleftheriadiMetazoa Phylogenomics Lab, Biodiversity Program, Institute of Evolutionary Biology (CSIC-University Pompeu Fabra), 08003 Barcelona, Spain.ORCID 0000-0002-9111-1616
Lisandra Benítez-ÁlvarezMetazoa Phylogenomics Lab, Biodiversity Program, Institute of Evolutionary Biology (CSIC-University Pompeu Fabra), 08003 Barcelona, Spain.ORCID 0000-0002-0473-4525
Marçal Vázquez-VallsMetazoa Phylogenomics Lab, Biodiversity Program, Institute of Evolutionary Biology (CSIC-University Pompeu Fabra), 08003 Barcelona, Spain.ORCID 0009-0001-3847-2025
Rosa FernándezMetazoa Phylogenomics Lab, Biodiversity Program, Institute of Evolutionary Biology (CSIC-University Pompeu Fabra), 08003 Barcelona, Spain.ORCID 0000-0002-4719-6640

Funding

Agencia Estatal de InvestigaciónESF 2021 FI_B 00476European Research CouncilEuropean's Union's Horizon 2020 948281Human Frontier Science Program RGY0056/2022Ramón y Cajal fellowship RYC2017-22492Secretaria d'Universitats i Recerca del Departament d'Economia i Coneixement de la Generalitat de Catalunya AGAUR 2021-SGR00420Secretaria d'Universitats i Recerca del Departament d'Empresa i Coneixement de la Generalitat de Catalunya
6 · The paper itself

Abstract

Recent advances in high-throughput sequencing have exponentially increased the number of genomic data available for animals (Metazoa) in the last decades, with high-quality chromosome-level genomes being published almost daily. Nevertheless, generating a new genome is not an easy task due to the high cost of genome sequencing, the high complexity of assembly, and the lack of standardized protocols for genome annotation. The lack of consensus in the annotation and publication of genome files hinders research by making researchers lose time in reformatting the files for their purposes but can also reduce the quality of the genetic repertoire for an evolutionary study. Thus, the use of transcriptomes obtained using the same pipeline as a proxy for the genetic content of species remains a valuable resource that is easier to obtain, cheaper, and more comparable than genomes. In a previous study, we presented the Metazoan Assemblies from Transcriptomic Ensembles database (MATEdb), a repository of high-quality transcriptomic and genomic data for the two most diverse animal phyla, Arthropoda and Mollusca. Here, we present the newest version of MATEdb (MATEdb2) that overcomes some of the previous limitations of our database: (i) we include data from all animal phyla where public data are available, and (ii) we provide gene annotations extracted from the original GFF genome files using the same pipeline. In total, we provide proteomes inferred from high-quality transcriptomic or genomic data for almost 1,000 animal species, including the longest isoforms, all isoforms, and functional annotation based on sequence homology and protein language models, as well as the embedding representations of the sequences. We believe this new version of MATEdb will accelerate research on animal phylogenomics while saving thousands of hours of computational work in a plea for open, greener, and collaborative science.

Indexed as

PhylogenyProteomeAnimalsDatabases, GeneticGenomicsMolluscaTranscriptomeProteomecomparative genomicsgenome analysisphylogenomicsproteomessequence databases

Identifiers

PMID39540856
PMCPMC11534026

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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.