Population Genetic Theory of the Cost of Inbreeding

1984 ◽  
Vol 123 (5) ◽  
pp. 642-653 ◽  
Author(s):  
Marcus Feldman ◽  
Freddy B. Christiansen
PLoS ONE ◽  
2010 ◽  
Vol 5 (5) ◽  
pp. e10609 ◽  
Author(s):  
C. William Birky ◽  
Joshua Adams ◽  
Marlea Gemmel ◽  
Julia Perry

1996 ◽  
Vol 17 (4) ◽  
pp. 295-301
Author(s):  
Günter Gollmann

AbstractSome fundamental contrasts underlying the disputes about species concepts are outlined: nominalistic versus essentialistic viewpoints, relations of pattern and process, and incongruities of population genetic, ecological, and phylogenetic approaches. The biological, evolutionary and phylogenetic species concepts are briefly characterized. Attention is drawn to the cohesion concept of species and to genealogical concordance principles, which attempt to integrate elements of those concepts with advances in population biological and evolutionary genetic theory.


2014 ◽  
Author(s):  
Yaniv Brandvain ◽  
Graham Coop

Genomic conflicts arise when an allele gains an evolutionary advantage at a cost to organismal fitness. Oogenesis is inherently susceptible to such conflicts because alleles compete for inclusion into the egg. Alleles that distort meiosis in their favor (i.e. meiotic drivers) often decrease organismal fitness, and therefore indirectly favor the evolution of mechanisms to suppress meiotic drive. In this light, many facets of oogenesis and gametogenesis have been interpreted as mechanisms of protection against genomic outlaws. That females of many animal species do not complete meiosis until after fertilization, appears to run counter to this interpretation, because this delay provides an opportunity for sperm-acting alleles to meddle with the outcome of female meiosis and help like alleles drive in heterozygous females. Contrary to this perceived danger, the population genetic theory presented herein suggests that, in fact, sperm nearly always evolve to increase the fairness of female meiosis in the face of genomic conflicts. These results are consistent with the apparent sperm dependence of the best characterized female meiotic drivers in animals. Rather than providing an opportunity for sperm collaboration in female meiotic drive, the 'fertilization requirement' indirectly protects females from meiotic drivers by providing sperm an opportunity to suppress drive.


2017 ◽  
Author(s):  
Brian J Arnold ◽  
Michael Gutmann ◽  
Yonatan Grad ◽  
Sam K Sheppard ◽  
Jukka Corander ◽  
...  

The impact of epistasis on the evolution of multilocus traits depends on recombination. Population genetic theory has been largely developed for eukaryotes, many of which recombine so frequently that epistasis between polymorphisms has not been considered to play a large role in adaptation and has been compared to the fleeting influence of non-heritable effects. Many bacteria also recombine, some to the degree that their populations are described as 'panmictic' or 'freely recombining'. However, whether this recombination is sufficient to limit the ability of selection to act on epistatic contributions to fitness is unknown. We create a sensitive method to quantify homologous recombination in five bacterial pathogens and use these parameter estimates in a multilocus model of bacterial evolution with additive and epistatic effects. We find that even for highly recombining species (e.g. Streptococcus pneumoniae or Helicobacter pylori), selection may act on the cumulative effects of weak (as well as strong) interactions between distant mutations since homologous recombination typically transfers only short segments. Furthermore, whether selection acts more efficiently on physically proximal loci depends on the average recombination tract length. Epistasis may thus play an important role in the adaptive evolution of bacteria and, unlike in eukaryotes, does not need to be strong, involve near loci, or require specific metapopulation dynamics.


2021 ◽  
Author(s):  
Yann Spöri ◽  
Fabio Stoch ◽  
Simon Dellicour ◽  
C. William Birky ◽  
Jean-François Flot

K/θ is a method to delineate species that rests on the calculation of the ratio between the average distance K separating two putative species-level clades and the genetic diversity θ of these clades. Although this method is explicitly rooted in population genetic theory, it was never benchmarked due to the absence of a program allowing automated analyses. For the same reason, its application by hand was limited to small datasets of a few tens of sequences. We present an automatic implementation of the K/θ method, dubbed KoT (short for "K over Theta"), that takes as input a FASTA file, builds a neighbour-joining tree, and returns putative species boundaries based on a user-specified K/θ threshold. This automatic implementation avoids errors and makes it possible to apply the method to datasets comprising many sequences, as well as to test easily the impact of choosing different K/θ threshold ratios. KoT is implemented in Haxe, with a javascript webserver interface freely available at https://eeg-ebe.github.io/KoT/ .


Crop Science ◽  
2007 ◽  
Vol 47 (2) ◽  
pp. 582-588 ◽  
Author(s):  
Jiankang Wang ◽  
Scott C. Chapman ◽  
David G. Bonnett ◽  
Greg J. Rebetzke ◽  
Jonathan Crouch

Genetics ◽  
2004 ◽  
Vol 168 (4) ◽  
pp. 2271-2284 ◽  
Author(s):  
Joachim Hermisson ◽  
Günter P. Wagner

2015 ◽  
Vol 112 (33) ◽  
pp. 10270-10277 ◽  
Author(s):  
Maureen A. O’Malley

Historically, conceptualizations of symbiosis and endosymbiosis have been pitted against Darwinian or neo-Darwinian evolutionary theory. In more recent times, Lynn Margulis has argued vigorously along these lines. However, there are only shallow grounds for finding Darwinian concepts or population genetic theory incompatible with endosymbiosis. But is population genetics sufficiently explanatory of endosymbiosis and its role in evolution? Population genetics “follows” genes, is replication-centric, and is concerned with vertically consistent genetic lineages. It may also have explanatory limitations with regard to macroevolution. Even so, asking whether population genetics explains endosymbiosis may have the question the wrong way around. We should instead be asking how explanatory of evolution endosymbiosis is, and exactly which features of evolution it might be explaining. This paper will discuss how metabolic innovations associated with endosymbioses can drive evolution and thus provide an explanatory account of important episodes in the history of life. Metabolic explanations are both proximate and ultimate, in the same way genetic explanations are. Endosymbioses, therefore, point evolutionary biology toward an important dimension of evolutionary explanation.


1998 ◽  
Vol 191 (4) ◽  
pp. 391-396 ◽  
Author(s):  
Ilan Eshel ◽  
Marcus W. Feldman ◽  
Aviv Bergman

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