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      Concurrent action of purifying selection and gene conversion results in extreme conservation of the major stress-inducible Hsp70 genes in mammals

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          Abstract

          Several evolutionary mechanisms alter the fate of mutations and genes within populations based on their exhibited functional effects. To understand the underlying mechanisms involved in the evolution of the cellular stress response, a very conserved mechanism in the course of organismal evolution, we studied the patterns of natural genetic variation and functional consequences of polymorphisms of two stress-inducible Hsp70 genes. These genes, HSPA1A and HSPA1B, are major orchestrators of the cellular stress response and are associated with several human diseases. Our phylogenetic analyses revealed that the duplication of HSPA1A and HSPA1B originated in a lineage proceeding to placental mammals, and henceforth they remained in conserved synteny. Additionally, analyses of synonymous and non-synonymous changes suggest that purifying selection shaped the HSPA1 gene diversification, while gene conversion resulted in high sequence conservation within species. In the human HSPA1-cluster, the vast majority of mutations are synonymous and specific genic regions are devoid of mutations. Furthermore, functional characterization of several human polymorphisms revealed subtle differences in HSPA1A stability and intracellular localization. Collectively, the observable patterns of HSPA1A- 1B variation describe an evolutionary pattern, in which purifying selection and gene conversion act simultaneously and conserve a major orchestrator of the cellular stress response.

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          The heat shock response: life on the verge of death.

          Organisms must survive a variety of stressful conditions, including sudden temperature increases that damage important cellular structures and interfere with essential functions. In response to heat stress, cells activate an ancient signaling pathway leading to the transient expression of heat shock or heat stress proteins (Hsps). Hsps exhibit sophisticated protection mechanisms, and the most conserved Hsps are molecular chaperones that prevent the formation of nonspecific protein aggregates and assist proteins in the acquisition of their native structures. In this Review, we summarize the concepts of the protective Hsp network. Copyright © 2010 Elsevier Inc. All rights reserved.
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            Molecular signatures of natural selection.

            There is an increasing interest in detecting genes, or genomic regions, that have been targeted by natural selection. The interest stems from a basic desire to learn more about evolutionary processes in humans and other organisms, and from the realization that inferences regarding selection may provide important functional information. This review provides a nonmathematical description of the issues involved in detecting selection from DNA sequences and SNP data and is intended for readers who are not familiar with population genetic theory. Particular attention is placed on issues relating to the analysis of large-scale genomic data sets.
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              ImageJ for microscopy.

              ImageJ is an essential tool for us that fulfills most of our routine image processing and analysis requirements. The near-comprehensive range of import filters that allow easy access to image and meta-data, a broad suite processing and analysis routine, and enthusiastic support from a friendly mailing list are invaluable for all microscopy labs and facilities-not just those on a budget.
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                Author and article information

                Contributors
                nnikolaidis@fullerton.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                23 March 2018
                23 March 2018
                2018
                : 8
                : 5082
                Affiliations
                [1 ]ISNI 0000 0001 2292 8158, GRID grid.253559.d, Department of Biological Science, , Center for Applied Biotechnology Studies, and Center for Computational and Applied Mathematics, California State University, Fullerton, ; Fullerton, CA 92834 USA
                [2 ]ISNI 0000 0000 9632 6718, GRID grid.19006.3e, UCLA Center for Systems Biomedicine, , Division of Digestive Diseases, School of Medicine, ; Los Angeles, CA USA
                [3 ]ISNI 0000000122986657, GRID grid.34477.33, Present Address: Department of Genome Sciences, , University of Washington, ; Seattle, WA USA
                Author information
                http://orcid.org/0000-0003-4780-544X
                http://orcid.org/0000-0002-5633-1883
                Article
                23508
                10.1038/s41598-018-23508-x
                5865164
                29572464
                6d6954af-2f1d-4d91-86bc-564a709f8e35
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 6 November 2017
                : 14 March 2018
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