2020
DOI: 10.1101/2020.02.24.959916
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Convergent Evolution of Conserved Mitochondrial Pathways Underlies Repeated Adaptation to Extreme Environments

Abstract: 22Extreme environments test the limits of life. Still, some organisms thrive in harsh conditions, 23 begging the question whether the repeated colonization of extreme environments is facilitated by 24 predictable and repeatable evolutionary innovations. We identified the mechanistic basis underlying 25 convergent evolution of tolerance to hydrogen sulfide (H2S)-a potent toxicant that impairs 26 mitochondrial function-across evolutionarily independent lineages of a fish (Poecilia mexicana, 27 Poeciliidae) f… Show more

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Cited by 18 publications
(29 citation statements)
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References 43 publications
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“…To test whether population pairs in more ecologically similar habitats exhibit higher degrees of convergence, we measured aspects of water quality in situ (temperature, pH, specific conductivity, dissolved oxygen, and H2S concentration) and downloaded 19 geospatial variables that describe climatic variation for each sulfide spring (28). Principal component (PC) analysis indicated that different springs primarily segregated along the first PC axis (Figure 2C), which was correlated with temperature, pH, and H2S concentration, as well as bioclimatic variables 1,4,6,7,9,11,12,13,14,16,17,18, and 19 (correlations: |0.20| < r < |0.28|; Table S1). In general, sulfide springs in Mexico (negative scores along PC axis 1) exhibited higher temperatures and H2S concentrations, lower pH, less seasonality, and more precipitation compared to the springs in Florida and the Dominican Republic (positive scores along PC axis 1).…”
Section: Resultsmentioning
confidence: 99%
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“…To test whether population pairs in more ecologically similar habitats exhibit higher degrees of convergence, we measured aspects of water quality in situ (temperature, pH, specific conductivity, dissolved oxygen, and H2S concentration) and downloaded 19 geospatial variables that describe climatic variation for each sulfide spring (28). Principal component (PC) analysis indicated that different springs primarily segregated along the first PC axis (Figure 2C), which was correlated with temperature, pH, and H2S concentration, as well as bioclimatic variables 1,4,6,7,9,11,12,13,14,16,17,18, and 19 (correlations: |0.20| < r < |0.28|; Table S1). In general, sulfide springs in Mexico (negative scores along PC axis 1) exhibited higher temperatures and H2S concentrations, lower pH, less seasonality, and more precipitation compared to the springs in Florida and the Dominican Republic (positive scores along PC axis 1).…”
Section: Resultsmentioning
confidence: 99%
“…We analyzed 118 gill transcriptomes from ten lineages of sulfide spring poeciliids and ten closely related lineages from adjacent nonsulfidic habitats (17). To quantify variation in the degree of convergence in gene expression between pairs of sulfide spring populations, we selected the 5,000 top expressed genes across all lineages as dependent variables in expression variance and evolution (EVE) models (24, 25), which allow for the identification of convergent expression shifts while accounting for the evolutionary relationship among lineages [see Figure 1A; (26)].…”
Section: Resultsmentioning
confidence: 99%
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“…In general, metabolism processes were involved in fish response to varies environmental stresses (including alkaline stress) by a huge amount of researches (Wood 1991). A most recent study highlights the genes involved in conserved mitochondrial pathways under selection in adaptation to extreme environment (Greenway et al 2020). In addition to our previous studies in highland alkaline tolerant fish, we found a number of genes associated with energy metabolism processes under selection as well, such as mitochondrial function and protein metabolism (Tong, Fei, et al 2017).…”
Section: Energy Metabolismmentioning
confidence: 99%
“…Likewise, the Agouti and Mc1R genes control coloration in diverse organisms (Kingsley et al 2009;Manceau et al 2010;Linnen et al 2013). Beyond case studies, meta-analyses have shown that parallel phenotypic evolution often involves the same genomic region (Elmer and Meyer 2011;Stern 2013;Greenway et al 2020). In contrast to these studies of major genes, parallelism is less understood when evolution involves many genes of smaller effect, although studies of genome-wide variation are beginning to fill this gap (Barrett and Schluter 2008;Yeaman 2015;Yeaman et al 2016;Papadopulos et al 2021).…”
Section: Introductionmentioning
confidence: 99%