scholarly journals LONG-TERM LABORATORY EVOLUTION OF A GENETIC LIFE-HISTORY TRADE-OFF INDROSOPHILA MELANOGASTER. 2. STABILITY OF GENETIC CORRELATIONS

Evolution ◽  
1994 ◽  
Vol 48 (4) ◽  
pp. 1258-1268 ◽  
Author(s):  
Armand M. Leroi ◽  
W. Royal Chen ◽  
Michael R. Rose
Keyword(s):  
Life History ◽  
Genetic Correlations ◽  
Laboratory Evolution ◽  
Trade Off

scholarly journals Trade-off between age of first reproduction and survival in a female primate

2009 ◽  
Vol 5 (3) ◽  
pp. 339-342 ◽  
Author(s):  
Gregory E. Blomquist
Keyword(s):  
Life History ◽  
Life History Theory ◽  
Rhesus Macaques ◽  
Human Study ◽  
Genetic Correlations ◽  
Adult Survival ◽  
Trade Off ◽  
Trade Offs ◽  
Female Life History ◽  
First Reproduction

Trade-offs are central to life-history theory but difficult to document. Patterns of phenotypic and genetic correlations in rhesus macaques, Macaca mulatta —a long-lived, slow-reproducing primate—are used to test for a trade-off between female age of first reproduction and adult survival. A strong positive genetic correlation indicates that female macaques suffer reduced adult survival when they mature relatively early and implies primate senescence can be explained, in part, by antagonistic pleiotropy. Contrasts with a similar human study implicate the extension of parental effects to later ages as a potential mechanism for circumventing female life-history trade-offs in human evolution.

Harvest selection, genetic correlations, and evolutionary changes in recruitment: one less thing to worry about?

2005 ◽  
Vol 62 (4) ◽  
pp. 802-810 ◽  
Author(s):  
S B Munch ◽  
M R Walsh ◽  
D O Conover
Keyword(s):  
Life History ◽  
Early Life ◽  
Genetic Correlations ◽  
Early Life History ◽  
Menidia Menidia ◽  
Recruitment Success ◽  
Evolutionary Changes ◽  
Using Data ◽  
Indirect Impacts

Harvest selection may lead to detrimental evolutionary changes in exploited populations. Few studies have considered the indirect impacts that harvest selection may have arising through genetic correlations. Using data from a long-term fishing experiment on Atlantic silversides (Menidia menidia), we show that there are significant genetic correlations between adult length at harvest and several early life history characters known to influence recruitment success. Based on this analysis, we estimate the magnitude of the change in recruitment success that may arise indirectly from selection on adults. In contrast with studies of harvest selection on adult characteristics, we find the response of characters in the early life history to be relatively slow and that impacts on recruitment, if any, are likely to be driven by selective changes in fecundity.

scholarly journals Contributions to Management Strategies in the NE Atlantic Regarding the Life History and Population Structure of a Key Deep-Sea Fish (Mora moro)

Biology ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 522
Author(s):  
Régis Santos ◽  
Wendell Medeiros-Leal ◽  
Osman Crespo ◽  
Ana Novoa-Pabon ◽  
Mário Pinho
Keyword(s):  
Population Structure ◽  
Life History ◽  
Deep Sea ◽  
Management Strategies ◽  
Size Composition ◽  
Large Size ◽  
The Common ◽  
Fishing Impacts ◽  
Sea Fish

With the commercial fishery expansion to deeper waters, some vulnerable deep-sea species have been increasingly captured. To reduce the fishing impacts on these species, exploitation and management must be based on detailed and precise information about their biology. The common mora Mora moro has become the main deep-sea species caught by longliners in the Northeast Atlantic at depths between 600 and 1200 m. In the Azores, landings have more than doubled from the early 2000s to recent years. Despite its growing importance, its life history and population structure are poorly understood, and the current stock status has not been assessed. To better determine its distribution, biology, and long-term changes in abundance and size composition, this study analyzed a fishery-dependent and survey time series from the Azores. M. moro was found on mud and rock bottoms at depths below 300 m. A larger–deeper trend was observed, and females were larger and more abundant than males. The reproductive season took place from August to February. Abundance indices and mean sizes in the catch were marked by changes in fishing fleet operational behavior. M. moro is considered vulnerable to overfishing because it exhibits a long life span, a large size, slow growth, and a low natural mortality.

scholarly journals Mapping the adaptive landscape of a major agricultural pathogen reveals evolutionary constraints across heterogeneous environments

2021 ◽  
Author(s):  
Anik Dutta ◽  
Fanny E. Hartmann ◽  
Carolina Sardinha Francisco ◽  
Bruce A. McDonald ◽  
Daniel Croll
Keyword(s):  
Life History ◽  
Large Scale ◽  
Life History Traits ◽  
Genetic Correlations ◽  
Stress Factors ◽  
Life History Trait ◽  
Adaptive Landscape ◽  
Heterogeneous Environments ◽  
Growth Responses ◽  
Trade Offs

AbstractThe adaptive potential of pathogens in novel or heterogeneous environments underpins the risk of disease epidemics. Antagonistic pleiotropy or differential resource allocation among life-history traits can constrain pathogen adaptation. However, we lack understanding of how the genetic architecture of individual traits can generate trade-offs. Here, we report a large-scale study based on 145 global strains of the fungal wheat pathogen Zymoseptoria tritici from four continents. We measured 50 life-history traits, including virulence and reproduction on 12 different wheat hosts and growth responses to several abiotic stressors. To elucidate the genetic basis of adaptation, we used genome-wide association mapping coupled with genetic correlation analyses. We show that most traits are governed by polygenic architectures and are highly heritable suggesting that adaptation proceeds mainly through allele frequency shifts at many loci. We identified negative genetic correlations among traits related to host colonization and survival in stressful environments. Such genetic constraints indicate that pleiotropic effects could limit the pathogen’s ability to cause host damage. In contrast, adaptation to abiotic stress factors was likely facilitated by synergistic pleiotropy. Our study illustrates how comprehensive mapping of life-history trait architectures across diverse environments allows to predict evolutionary trajectories of pathogens confronted with environmental perturbations.

Sign in / Sign up

Export Citation Format

Share Document