Global patterns of nuclear and mitochondrial genetic diversity in marine fishes

被引:2
作者
Clark, Rene D. [1 ]
Pinsky, Malin L. [2 ,3 ]
机构
[1] Drexel Univ, Dept Biol, Philadelphia, PA USA
[2] Univ Calif Santa Cruz, Dept Ecol & Evolutionary Biol, 130 McAllister Way, Santa Cruz, CA 95060 USA
[3] Rutgers State Univ, Dept Ecol Evolut & Nat Resources, New Brunswick, NJ USA
来源
ECOLOGY AND EVOLUTION | 2024年 / 14卷 / 05期
关键词
latitudinal gradient; macrogenetics; marine fish; mitochondrial genetic diversity; nuclear genetic diversity; population genetics; POPULATION-SIZE; MOLECULAR EVOLUTION; GENERATION TIME; BODY-SIZE; BIODIVERSITY; MUTATION; DNA;
D O I
10.1002/ece3.11365
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Genetic diversity is a fundamental component of biodiversity. Examination of global patterns of genetic diversity can help highlight mechanisms underlying species diversity, though a recurring challenge has been that patterns may vary by molecular marker. Here, we compiled 6862 observations of genetic diversity from 492 species of marine fish and tested among hypotheses for diversity gradients: the founder effect hypothesis, the kinetic energy hypothesis, and the productivity-diversity hypothesis. We fit generalized linear mixed effect models (GLMMs) and explored the extent to which various macroecological drivers (latitude, longitude, temperature (SST), and chlorophyll-a concentration) explained variation in genetic diversity. We found that mitochondrial genetic diversity followed geographic gradients similar to those of species diversity, being highest near the Equator, particularly in the Coral Triangle, while nuclear genetic diversity did not follow clear geographic patterns. Despite these differences, all genetic diversity metrics were correlated with chlorophyll-a concentration, while mitochondrial diversity was also positively associated with SST. Our results provide support for the kinetic energy hypothesis, which predicts that elevated mutation rates at higher temperatures increase mitochondrial but not necessarily nuclear diversity, and the productivity-diversity hypothesis, which posits that resource-rich regions support larger populations with greater genetic diversity. Overall, these findings reveal how environmental variables can influence mutation rates and genetic drift in the ocean, caution against using mitochondrial macrogenetic patterns as proxies for whole-genome diversity, and aid in defining global gradients of genetic diversity. Genetic diversity is a fundamental component of biodiversity. We outline and test three distinct macroecological drivers of intraspecific genetic diversity, identify global patterns, and assess the congruence of these relationships across the genome to help provide a more complete understanding of how evolutionary forces contribute to biodiversity at multiple scales. Overall, we reveal how environmental variables can influence mutation rates and genetic drift in the ocean, caution against using mitochondrial macrogenetic patterns as proxies for whole-genome diversity, and aid in defining global gradients of genetic diversity.image
引用
收藏
页数:12
相关论文
共 58 条
  • [1] Global biodiversity, biochemical kinetics, and the energetic-equivalence rule
    Allen, AP
    Brown, JH
    Gillooly, JF
    [J]. SCIENCE, 2002, 297 (5586) : 1545 - 1548
  • [2] Unexpected High Genetic Diversity at the Extreme Northern Geographic Limit of Taurulus bubalis (Euphrasen, 1786)
    Almada, Vitor C.
    Almada, Frederico
    Francisco, Sara M.
    Castilho, Rita
    Robalo, Joana I.
    [J]. PLOS ONE, 2012, 7 (08):
  • [3] Cross-species transfer of nuclear microsatellite markers:: potential and limitations
    Barbara, Thelma
    Palma-Silva, Clarisse
    Paggi, Gecele M.
    Bered, Fernanda
    Fay, Michael F.
    Lexer, Christian
    [J]. MOLECULAR ECOLOGY, 2007, 16 (18) : 3759 - 3767
  • [4] Fitting Linear Mixed-Effects Models Using lme4
    Bates, Douglas
    Maechler, Martin
    Bolker, Benjamin M.
    Walker, Steven C.
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2015, 67 (01): : 1 - 48
  • [5] Population size does not influence mitochondrial genetic diversity in animals
    Bazin, E
    Glémin, S
    Galtier, N
    [J]. SCIENCE, 2006, 312 (5773) : 570 - 572
  • [6] Bergmann C, 1847, Gottinger Stud, V3, P595
  • [7] BIRKY CW, 1989, GENETICS, V121, P613
  • [8] rfishbase: exploring, manipulating and visualizing FishBase data from R
    Boettiger, C.
    Lang, D. T.
    Wainwright, P. C.
    [J]. JOURNAL OF FISH BIOLOGY, 2012, 81 (06) : 2030 - 2039
  • [9] The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity
    Brewer, Mark J.
    Butler, Adam
    Cooksley, Susan L.
    [J]. METHODS IN ECOLOGY AND EVOLUTION, 2016, 7 (06): : 679 - 692
  • [10] glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling
    Brooks, Mollie E.
    Kristensen, Kasper
    van Benthem, Koen J.
    Magnusson, Arni
    Berg, Casper W.
    Nielsen, Anders
    Skaug, Hans J.
    Machler, Martin
    Bolker, Benjamin M.
    [J]. R JOURNAL, 2017, 9 (02): : 378 - 400