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Genes Whose Gain or Loss-of-Function Increases Endurance Performance in Mice: A Systematic Literature Review.

ABSTRACT: Endurance is not only a key factor in many sports but endurance-related variables are also associated with good health and low mortality. Twin and family studies suggest that several endurance-associated traits are ?50% inherited. However, we still poorly understand what DNA sequence variants contribute to endurance heritability. To address this issue, we conducted a systematic review to identify genes whose experimental loss or gain-of-function increases endurance capacity in mice. We found 31 genes including two isoforms of Ppargc1a whose manipulation increases running or swimming endurance performance by up to 1800%. Genes whose gain-of-function increases endurance are Adcy5, Adcy8, Hk2, Il15, Mef2c, Nr4a3, Pck1 (Pepck), Ppard, Ppargc1a (both the a and b isoforms of the protein Pgc-1?), Ppargc1b, Ppp3ca (calcineurin), Scd1, Slc5a7, Tfe3, Tfeb, Trib3 & Trpv1. Genes whose loss-of-function increases endurance in mice are Actn3, Adrb2, Bdkrb2, Cd47, Crym, Hif1a, Myoz1, Pappa, Pknox1, Pten, Sirt4, Thbs1, Thra, and Tnfsf12. Of these genes, human DNA sequence variants of ACTN3, ADCY5, ADRB2, BDKRB2, HIF1A, PPARD, PPARGC1A, PPARGC1B, and PPP3CA are also associated with endurance capacity and/or VO₂max trainability suggesting evolutionary conservation between mice and humans. Bioinformatical analyses show that there are numerous amino acid or copy number-changing DNA variants of endurance genes in humans, suggesting that genetic variation of endurance genes contributes to the variation of human endurance capacity, too. Moreover, several of these genes/proteins change their expression or phosphorylation in skeletal muscle or the heart after endurance exercise, suggesting a role in the adaptation to endurance exercise.

SUBMITTER: Yaghoob Nezhad F

PROVIDER: S-EPMC6439621 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Genes Whose Gain or Loss-of-Function Increases Endurance Performance in Mice: A Systematic Literature Review.

Yaghoob Nezhad Fakhreddin F Verbrugge Sander A J SAJ Schönfelder Martin M Becker Lore L Hrabě de Angelis Martin M Wackerhage Henning H

Frontiers in physiology 20190322

Endurance is not only a key factor in many sports but endurance-related variables are also associated with good health and low mortality. Twin and family studies suggest that several endurance-associated traits are ≈50% inherited. However, we still poorly understand what DNA sequence variants contribute to endurance heritability. To address this issue, we conducted a systematic review to identify genes whose experimental loss or gain-of-function increases endurance capacity in mice. We found 31 ...[more]

PMID: 30967789

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Project description:Comparison between transcriptomes of dash mutants vs WT plants and ectopic expression of 35S::DASH in hairy roots versus empty vector Loss of function: 3 WT plants A17 at 8 days after pollination and 3 dash mutant plants at 8 days afer pollination. Gain of function transformants: 3 transformed plants containing empty vector and 4 transformed plants containing 35S::DASH Total RNA was extracted using a modified cetyltrimethylammonium bromide method (Verdier et al., 2008). 5ug of total RNA from each sample was purified (RNeasy MinElute Cleanup kit; Qiagen) according to the manufacturer?s instructions. RNA was quantified and evaluated for purity using an ND-1000 Nanodrop Spectrophotometer (NanoDrop Technologies) and a Bioanalyzer 2100 (Agilent). The Affymetrix M. truncatula GeneChip Array (Affymetrix) was used for expression analysis during seed development. RNA from three (for dash mutant analysis) and four (for DASH ectopic expression analysis) independent biological replicates were analysed for each time point. Probe synthesis/labelling was carried out from 500 ng of RNA using the GeneChip 3?IVT express kit, according to the manufacturer?s instructions (Affymetrix). Array hybridization, scanning, and data normalization were performed as described by Benedito et al., (2008). Each file from the hybridized Affymetrix array was exported from GeneChip Operating Software version 1.4 (Affymetrix) and imported into Robust Multiarray Average Express (Irizarry et al., 2003) for global normalization. Presence/absence call for each probe set to remove background noise was obtained using dCHIP (Li and Wong, 2001). To identify probe sets differentially expressed in dash mutant vs WT control, the R package Anapuce (J. Aubert, UMR 518 AgroParisTech/INRA) was used. For each probe set, a paired t-test was performed on the log2 expression data from three arrays (3 independent biological repeats for 8 dap data), assuming that the variance of the log expression was the same for all transcripts per genotype. Spots with extreme specific variance, too low or too high, were excluded from the statistical analysis (details on the procedure given in Gagnot et al., 2008). P-values were adjusted by the Benjamini-Hochberg method (Benjamini and Hochberg, 1995), which controls the family-wise error rate.

Dataset Information

Genes Whose Gain or Loss-of-Function Increases Endurance Performance in Mice: A Systematic Literature Review.

Publications

Genes Whose Gain or Loss-of-Function Increases Endurance Performance in Mice: A Systematic Literature Review.

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