Literature DB >> 33001284

Evolutionary History of Alzheimer Disease-Causing Protein Family Presenilins with Pathological Implications.

Ammad Aslam Khan1,2, Raja Hashim Ali3,4, Bushra Mirza5.   

Abstract

Presenilin proteins make the catalytic component of γ-secretase, a multiprotein transmembrane protease, and are type II transmembrane proteins. Amyloid protein, Notch, and beta catenin are among more than 90 substrates of Presenilins. Mutations in Presenilins lead to defects in proteolytic cleavage of its substrate resulting in some of the most devastating pathological conditions including Alzheimer disease (AD), developmental disorders, and cancer. In addition to catalytic roles, Presenilin protein is also shown to be involved in many non-catalytic roles, i.e., calcium homeostasis, regulation of autophagy, and protein trafficking, etc. These proteolytic proteins are highly conserved and are present in almost all the major eukaryotic groups. Studies, performed on a wide variety of organisms ranging from human to unicellular dictyostelium, have shown the important catalytic and non-catalytic roles of Presenilins. In this study, we infer the evolutionary patterns and history of Presenilins as well as of other γ-secretase proteins. We show that Presenilins are the most ancient of the γ-secretase proteins and that Presenilins may have their origin in the last common ancestor (LCA) of Eukaryotes. We also demonstrate that Presenilin proteins generally lack diversifying selection during the course of their evolution. Through evolutionary trace analysis, we show that Presenilin protein sites that undergo mutations in Familial Alzheimer disease, are highly conserved in metazoans. Finally, we discuss the evolutionary, physiological, and pathological implications of our findings and propose that the evolutionary profile of Presenilins supports the loss of function hypothesis of AD pathogenesis.

Entities:  

Keywords:  Alzheimer disease; Amyloid-beta; Endoproteolysis; Presenilin; Protein evolution; γ-Secretase

Year:  2020        PMID: 33001284     DOI: 10.1007/s00239-020-09966-w

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  72 in total

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Journal:  Mol Biol Evol       Date:  2019-10-01       Impact factor: 16.240

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Journal:  Mol Biol Evol       Date:  2004-11-10       Impact factor: 16.240

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Authors:  Ran Blekhman; Orna Man; Leslie Herrmann; Adam R Boyko; Amit Indap; Carolin Kosiol; Carlos D Bustamante; Kosuke M Teshima; Molly Przeworski
Journal:  Curr Biol       Date:  2008-06-24       Impact factor: 10.834

8.  GenFamClust: an accurate, synteny-aware and reliable homology inference algorithm.

Authors:  Raja H Ali; Sayyed A Muhammad; Lars Arvestad
Journal:  BMC Evol Biol       Date:  2016-06-04       Impact factor: 3.260

9.  Bayesian phylodynamics of avian influenza A virus H9N2 in Asia with time-dependent predictors of migration.

Authors:  Jing Yang; Nicola F Müller; Remco Bouckaert; Bing Xu; Alexei J Drummond
Journal:  PLoS Comput Biol       Date:  2019-08-06       Impact factor: 4.475

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Authors:  Xiao-Chen Bai; Chuangye Yan; Guanghui Yang; Peilong Lu; Dan Ma; Linfeng Sun; Rui Zhou; Sjors H W Scheres; Yigong Shi
Journal:  Nature       Date:  2015-08-17       Impact factor: 49.962

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