Phylogenetic inference of the emergence of sequence modules and protein-protein interactions in the ADAMTS-TSL family.

IF 4.3 2区 生物学 PLoS Computational Biology Pub Date : 2023-08-31 eCollection Date: 2023-08-01 DOI:10.1371/journal.pcbi.1011404
Olivier Dennler, François Coste, Samuel Blanquart, Catherine Belleannée, Nathalie Théret
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Abstract

Numerous computational methods based on sequences or structures have been developed for the characterization of protein function, but they are still unsatisfactory to deal with the multiple functions of multi-domain protein families. Here we propose an original approach based on 1) the detection of conserved sequence modules using partial local multiple alignment, 2) the phylogenetic inference of species/genes/modules/functions evolutionary histories, and 3) the identification of co-appearances of modules and functions. Applying our framework to the multidomain ADAMTS-TSL family including ADAMTS (A Disintegrin-like and Metalloproteinase with ThromboSpondin motif) and ADAMTS-like proteins over nine species including human, we identify 45 sequence module signatures that are associated with the occurrence of 278 Protein-Protein Interactions in ancestral genes. Some of these signatures are supported by published experimental data and the others provide new insights (e.g. ADAMTS-5). The module signatures of ADAMTS ancestors notably highlight the dual variability of the propeptide and ancillary regions suggesting the importance of these two regions in the specialization of ADAMTS during evolution. Our analyses further indicate convergent interactions of ADAMTS with COMP and CCN2 proteins. Overall, our study provides 186 sequence module signatures that discriminate distinct subgroups of ADAMTS and ADAMTSL and that may result from selective pressures on novel functions and phenotypes.

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ADAMTS-TSL家族中序列模块和蛋白质-蛋白质相互作用出现的系统发育推断。
已经开发了许多基于序列或结构的计算方法来表征蛋白质功能,但它们对于处理多结构域蛋白质家族的多个功能仍然不令人满意。在这里,我们提出了一种原始方法,基于1)使用部分局部多重比对检测保守序列模块,2)物种/基因/模块/功能进化史的系统发育推断,以及3)识别模块和功能的共同出现。将我们的框架应用于包括人类在内的九个物种的多结构域ADAMTS-TSL家族,包括ADAMTS(一种具有血栓海绵蛋白基序的崩解蛋白样和金属蛋白酶)和ADAMTS样蛋白,我们鉴定了45个序列模块特征,这些特征与祖先基因中278种蛋白质-蛋白质相互作用的发生有关。其中一些特征得到了已发表的实验数据的支持,而另一些则提供了新的见解(例如ADAMTS-5)。ADAMTS祖先的模块特征显著突出了前肽和辅助区域的双重可变性,这表明这两个区域在进化过程中ADAMTS的特化中的重要性。我们的分析进一步表明ADAMTS与COMP和CCN2蛋白的趋同相互作用。总的来说,我们的研究提供了186个序列模块特征,这些特征区分了ADAMTS和ADAMTSL的不同亚组,可能是由于对新功能和表型的选择性压力。
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PLoS Computational Biology
PLoS Computational Biology 生物-生化研究方法
CiteScore
7.10
自引率
4.70%
发文量
820
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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