MATEdb2,动物生命之树上高质量的元虫蛋白质组收集,以加快系统发生学研究。

IF 3.2 2区 生物学 Q2 EVOLUTIONARY BIOLOGY Genome Biology and Evolution Pub Date : 2024-11-01 DOI:10.1093/gbe/evae235
Gemma I Martínez-Redondo, Carlos Vargas-Chávez, Klara Eleftheriadi, Lisandra Benítez-Álvarez, Marçal Vázquez-Valls, Rosa Fernández
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引用次数: 0

摘要

过去几十年来,高通量测序技术的最新进展使动物(后生动物)基因组数据的数量呈指数级增长,几乎每天都有高质量的染色体级基因组发表。然而,由于基因组测序成本高昂、组装复杂度高以及缺乏标准化的基因组注释方案,生成一个新的基因组并非易事。基因组文件的注释和发布缺乏共识,不仅会耽误研究人员根据自己的目的重新格式化文件的时间,还会降低进化研究的基因库质量,从而阻碍研究工作。因此,使用相同管道获得的转录组作为物种遗传内容的替代物仍然是一种宝贵的资源,它比基因组更容易获得、更便宜、更具可比性。在之前的一项研究中,我们介绍了 "元动物转录组组装数据库"(MATEdb),这是一个高质量的转录组和基因组数据的存储库,涵盖了两个最多样化的动物门类--节肢动物门和软体动物门。在此,我们介绍 MATEdb 的最新版本(MATEdb2),它克服了我们数据库以前的一些局限性:(i) 我们包含了所有可获得公开数据的动物门类的数据,(ii) 我们提供了使用相同管道从原始 GFF 基因组文件中提取的基因注释。我们总共提供了近 1000 种动物的高质量转录组或基因组数据推断出的蛋白质组,包括最长的同工酶、所有同工酶、基于序列同源性和蛋白质语言模型的功能注释,以及序列的嵌入表示。我们相信新版 MATEdb 将加速动物系统发生组学的研究,同时节省成千上万小时的计算工作,以实现开放、绿色和协作科学。
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MATEdb2, a Collection of High-Quality Metazoan Proteomes across the Animal Tree of Life to Speed Up Phylogenomic Studies.

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.

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来源期刊
Genome Biology and Evolution
Genome Biology and Evolution EVOLUTIONARY BIOLOGY-GENETICS & HEREDITY
CiteScore
5.80
自引率
6.10%
发文量
169
审稿时长
1 months
期刊介绍: About the journal Genome Biology and Evolution (GBE) publishes leading original research at the interface between evolutionary biology and genomics. Papers considered for publication report novel evolutionary findings that concern natural genome diversity, population genomics, the structure, function, organisation and expression of genomes, comparative genomics, proteomics, and environmental genomic interactions. Major evolutionary insights from the fields of computational biology, structural biology, developmental biology, and cell biology are also considered, as are theoretical advances in the field of genome evolution. GBE’s scope embraces genome-wide evolutionary investigations at all taxonomic levels and for all forms of life — within populations or across domains. Its aims are to further the understanding of genomes in their evolutionary context and further the understanding of evolution from a genome-wide perspective.
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