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Heat shock protein 70s (HSP70s) are known to play vital biological processes in rainbow trout. However, information on the numerous roles and classification of many different HSP70s is insufficient. The purpose of this study was to investigate the characteristics of all HSP70s in rainbow trout using multi-dimensional genomic and transcriptomic analyses for inspecting HSP70 homologs, phylogenetic characteristics, DNA motifs, and transcription factor binding sites (TFBSs). Also, the transcriptomic results in conditions of acute thermal stress and Ichthyophthirius multifiliis infection were used to characterize the expression of all HSP70 homologs, and the isoforms of the most sensitive HSP70 were predicted in silico. A total of 23 HSP70s were identified, and they were divided into seven evolutionary groups (groups 1-7). Groups 1 and 2 had relatively longer phylogenetic distances compared to the other groups, which can speculate origin of groups 1 and 2 HSP70s would be different compared to others. With transcriptomic profiling, most HSPs belonging to group 3 showed highly sensitive responses to I. multifiliis infection, not thermal stress, but the group 6 HSP70s had the opposite expression tendencies. Likewise, the composition of the TFBS in each HSP70 was consistent with its group classification. Since TFBSs are widely known to influence transcriptomic expression, they could be one of the major reasons for the different patterns of expression within the HSP70 groups. Moreover, this study demonstrated several isoforms of HSP70a, by far the most sensitive HSP70s, under several stress environments such as hypoxia, thermal, and overcrowding stress. This is an important fundamental study to expand the understanding of HSP70s in rainbow trout as well as for selecting the most sensitive biomarkers for types of stress. Copyright © 2021. Published by Elsevier Ltd.

Citation

HyeongJin Roh, Do-Hyung Kim. Identification, classification and functional characterization of HSP70s in rainbow trout (Oncorhynchus mykiss) through multi-omics approaches. Fish & shellfish immunology. 2022 Feb;121:205-214

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PMID: 34990808

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