雌性生殖特异性蛋白,在海洋物种中的起源,以及它们在动物界的进化。

IF 0.9 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Bioinformatics and Computational Biology Pub Date : 2022-02-01 Epub Date: 2022-01-12 DOI:10.1142/S0219720022400017
Laura Rebeca Jimenez-Gutierrez
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引用次数: 0

摘要

一个物种的生存在很大程度上取决于个体的繁殖能力,从而延续他们的生活史。后生动物(即多细胞动物)的出现带来了专门组织和器官的进化,这反过来又导致了复杂蛋白质调控途径的发展。本研究试图通过分析海洋无脊椎动物门中代表性物种的转录组来阐明雌性生殖相关蛋白之间的进化关系。我们的研究在广泛的进化谱系中发现了50多个与生殖相关的基因,从Porifera到脊椎动物。其中,有19个序列在至少一个门中未被报道,特别是在Porifera中。此外,这些蛋白质之间的大多数结构差异似乎不是由环境压力或繁殖策略决定的,而是在很大程度上遵循了从海绵到哺乳动物的独特进化模式。
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Female reproduction-specific proteins, origins in marine species, and their evolution in the animal kingdom.

The survival of a species largely depends on the ability of individuals to reproduce, thus perpetuating their life history. The advent of metazoans (i.e. pluricellular animals) brought about the evolution of specialized tissues and organs, which in turn led to the development of complex protein regulatory pathways. This study sought to elucidate the evolutionary relationships between female reproduction-associated proteins by analyzing the transcriptomes of representative species from a selection of marine invertebrate phyla. Our study identified more than 50 reproduction-related genes across a wide evolutionary spectrum, from Porifera to Vertebrata. Among these, a total of 19 sequences had not been previously reported in at least one phylum, particularly in Porifera. Moreover, most of the structural differences between these proteins did not appear to be determined by environmental pressures or reproductive strategies, but largely obeyed a distinguishable evolutionary pattern from sponges to mammals.

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来源期刊
Journal of Bioinformatics and Computational Biology
Journal of Bioinformatics and Computational Biology MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
2.10
自引率
0.00%
发文量
57
期刊介绍: The Journal of Bioinformatics and Computational Biology aims to publish high quality, original research articles, expository tutorial papers and review papers as well as short, critical comments on technical issues associated with the analysis of cellular information. The research papers will be technical presentations of new assertions, discoveries and tools, intended for a narrower specialist community. The tutorials, reviews and critical commentary will be targeted at a broader readership of biologists who are interested in using computers but are not knowledgeable about scientific computing, and equally, computer scientists who have an interest in biology but are not familiar with current thrusts nor the language of biology. Such carefully chosen tutorials and articles should greatly accelerate the rate of entry of these new creative scientists into the field.
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