Literature DB >> 31527276

Pervasive convergent evolution and extreme phenotypes define chaperone requirements of protein homeostasis.

Yasmine Draceni1, Sebastian Pechmann2.   

Abstract

Maintaining protein homeostasis is an essential requirement for cell and organismal viability. An elaborate regulatory system within cells, the protein homeostasis network, safeguards that proteins are correctly folded and functional. At the heart of this regulatory system lies a class of specialized protein quality control enzymes called chaperones that are tasked with assisting proteins in their folding, avoiding aggregation and degradation. Failure and decline of protein homeostasis are directly associated with conditions of aging and aging-related neurodegeneration. However, it is not clear what tips the balance of protein homeostasis and leads to onset of aging and diseases. Here, using a comparative genomics approach we report general principles of maintaining protein homeostasis across the eukaryotic tree of life. Expanding a previous study of 16 eukaryotes to the quantitative analysis of 216 eukaryotic genomes, we find a strong correlation between the composition of eukaryotic chaperone networks and genome complexity that is distinct for different species kingdoms. Organisms with pronounced phenotypes clearly buck this trend. Northobranchius furzeri, the shortest-lived vertebrate and a widely used model for fragile protein homeostasis, is found to be chaperone limited while Heterocephalus glaber as the longest-lived rodent and thus an especially robust organism is characterized by above-average numbers of chaperones. Strikingly, the relative size of chaperone networks is found to generally correlate with longevity in Metazoa. Our results thus indicate that the balance in protein homeostasis may be a key variable in explaining organismal robustness.

Entities:  

Keywords:  aging; chaperones; genome evolution; protein homeostasis; tree of life

Year:  2019        PMID: 31527276      PMCID: PMC6778244          DOI: 10.1073/pnas.1904611116

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  62 in total

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Authors:  Gian Gaetano Tartaglia; Christopher M Dobson; F Ulrich Hartl; Michele Vendruscolo
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Review 2.  The evolutionary consequences of polyploidy.

Authors:  Sarah P Otto
Journal:  Cell       Date:  2007-11-02       Impact factor: 41.582

3.  A chaperome subnetwork safeguards proteostasis in aging and neurodegenerative disease.

Authors:  Marc Brehme; Cindy Voisine; Thomas Rolland; Shinichiro Wachi; James H Soper; Yitan Zhu; Kai Orton; Adriana Villella; Dan Garza; Marc Vidal; Hui Ge; Richard I Morimoto
Journal:  Cell Rep       Date:  2014-10-23       Impact factor: 9.423

4.  Dictyostelium discoideum has a highly Q/N-rich proteome and shows an unusual resilience to protein aggregation.

Authors:  Liliana Malinovska; Sandra Palm; Kimberley Gibson; Jean-Marc Verbavatz; Simon Alberti
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-04       Impact factor: 11.205

Review 5.  The diversity of the DnaJ/Hsp40 family, the crucial partners for Hsp70 chaperones.

Authors:  X-B Qiu; Y-M Shao; S Miao; L Wang
Journal:  Cell Mol Life Sci       Date:  2006-11       Impact factor: 9.261

Review 6.  Biological and chemical approaches to diseases of proteostasis deficiency.

Authors:  Evan T Powers; Richard I Morimoto; Andrew Dillin; Jeffery W Kelly; William E Balch
Journal:  Annu Rev Biochem       Date:  2009       Impact factor: 23.643

7.  IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding.

Authors:  Bálint Mészáros; Gábor Erdos; Zsuzsanna Dosztányi
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

8.  Protein disorder in plants: a view from the chloroplast.

Authors:  Inmaculada Yruela; Bruno Contreras-Moreira
Journal:  BMC Plant Biol       Date:  2012-09-13       Impact factor: 4.215

9.  The oyster genome reveals stress adaptation and complexity of shell formation.

Authors:  Guofan Zhang; Xiaodong Fang; Ximing Guo; Li Li; Ruibang Luo; Fei Xu; Pengcheng Yang; Linlin Zhang; Xiaotong Wang; Haigang Qi; Zhiqiang Xiong; Huayong Que; Yinlong Xie; Peter W H Holland; Jordi Paps; Yabing Zhu; Fucun Wu; Yuanxin Chen; Jiafeng Wang; Chunfang Peng; Jie Meng; Lan Yang; Jun Liu; Bo Wen; Na Zhang; Zhiyong Huang; Qihui Zhu; Yue Feng; Andrew Mount; Dennis Hedgecock; Zhe Xu; Yunjie Liu; Tomislav Domazet-Lošo; Yishuai Du; Xiaoqing Sun; Shoudu Zhang; Binghang Liu; Peizhou Cheng; Xuanting Jiang; Juan Li; Dingding Fan; Wei Wang; Wenjing Fu; Tong Wang; Bo Wang; Jibiao Zhang; Zhiyu Peng; Yingxiang Li; Na Li; Jinpeng Wang; Maoshan Chen; Yan He; Fengji Tan; Xiaorui Song; Qiumei Zheng; Ronglian Huang; Hailong Yang; Xuedi Du; Li Chen; Mei Yang; Patrick M Gaffney; Shan Wang; Longhai Luo; Zhicai She; Yao Ming; Wen Huang; Shu Zhang; Baoyu Huang; Yong Zhang; Tao Qu; Peixiang Ni; Guoying Miao; Junyi Wang; Qiang Wang; Christian E W Steinberg; Haiyan Wang; Ning Li; Lumin Qian; Guojie Zhang; Yingrui Li; Huanming Yang; Xiao Liu; Jian Wang; Ye Yin; Jun Wang
Journal:  Nature       Date:  2012-09-19       Impact factor: 49.962

10.  Defining the TRiC/CCT interactome links chaperonin function to stabilization of newly made proteins with complex topologies.

Authors:  Alice Y Yam; Yu Xia; Hen-Tzu Jill Lin; Alma Burlingame; Mark Gerstein; Judith Frydman
Journal:  Nat Struct Mol Biol       Date:  2008-11-16       Impact factor: 15.369

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  3 in total

1.  Microarray-Based Screening of Putative HSP90 Inhibitors Predicted and Isolated from Microorganisms.

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Journal:  Methods Mol Biol       Date:  2022

2.  Functional network motifs defined through integration of protein-protein and genetic interactions.

Authors:  Amruta Sahoo; Sebastian Pechmann
Journal:  PeerJ       Date:  2022-02-22       Impact factor: 2.984

3.  Convergent Evolution and Structural Adaptation to the Deep Ocean in the Protein-Folding Chaperonin CCTα.

Authors:  Alexandra A-T Weber; Andrew F Hugall; Timothy D O'Hara
Journal:  Genome Biol Evol       Date:  2020-11-03       Impact factor: 3.416

  3 in total

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