2021
DOI: 10.1111/mec.15987
|View full text |Cite
|
Sign up to set email alerts
|

The genomics of phenotypically differentiated Asellusaquaticus cave, surface stream and lake ecotypes

Abstract: This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
13
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
5
2
2

Relationship

0
9

Authors

Journals

citations
Cited by 14 publications
(16 citation statements)
references
References 111 publications
(192 reference statements)
0
13
0
Order By: Relevance
“…Finally, from a methodological point of view, individuals of A. aquaticus can be collected readily from the wild, and populations easily established and maintained over multiple generations in the laboratory at low-cost (e.g., Bloor, 2010Bloor, , 2011. Asellus aquaticus is also well-suited for large scale phenotypic and genetic studies, with several phenotyping and genotyping tools already available, including a high throughput phenotyping pipeline (Lürig, 2021), a genome-wide linkage map and hundreds of genetic markers (Protas et al, 2011;Bakovic et al, 2021). This combination makes A. aquaticus highly amenable to controlled laboratory and mesocosm experiments (Rossi and Fano, 1979;Maltby, 1995;Lürig et al, 2019), as well as to in-depth genetic and phenotypic studies (e.g., Protas et al, 2011;Lürig et al, 2019, Bakovic et al, 2021.…”
Section: Asellus Aquaticus As a Model System For Integrative Studiesmentioning
confidence: 99%
See 1 more Smart Citation
“…Finally, from a methodological point of view, individuals of A. aquaticus can be collected readily from the wild, and populations easily established and maintained over multiple generations in the laboratory at low-cost (e.g., Bloor, 2010Bloor, , 2011. Asellus aquaticus is also well-suited for large scale phenotypic and genetic studies, with several phenotyping and genotyping tools already available, including a high throughput phenotyping pipeline (Lürig, 2021), a genome-wide linkage map and hundreds of genetic markers (Protas et al, 2011;Bakovic et al, 2021). This combination makes A. aquaticus highly amenable to controlled laboratory and mesocosm experiments (Rossi and Fano, 1979;Maltby, 1995;Lürig et al, 2019), as well as to in-depth genetic and phenotypic studies (e.g., Protas et al, 2011;Lürig et al, 2019, Bakovic et al, 2021.…”
Section: Asellus Aquaticus As a Model System For Integrative Studiesmentioning
confidence: 99%
“…The latter has led to subterranean phenotypic adaptation and to the formation of troglomorphic subspecies (e.g., Kosswig and Kosswig, 1940;Turk-Prevorčnik and Blejec, 1998). On a regional scale, A. aquaticus has undergone repeated ecotype differentiation within lakes (Eroukhmanoff et al, 2009a,b), with divergence having been associated to both genetic (e.g., Bakovic et al, 2021) and plastic effects (Karlsson et al, 2010). Locally, A. aquaticus shows evidence of assortative mating (e.g., Ridley and Thompson, 1979;Adams et al, 1985), which has the potential to contribute to sexual selection and reproductive isolation (Jiang et al, 2013).…”
Section: Phenotypic Divergencementioning
confidence: 99%
“…The genus Anococcus includes multiple radiation-resistant bacterial species, which have been shown to have degradative effects on nuclear and other toxic substances ( Li et al, 2017 ). Thermophila included many thermotolerant genera, among which thermotolerant DNA polymerase (Taq enzyme) isolated from Thermous aquaticus was widely used in polymerase chain reactions ( Bakovic et al, 2021 ). In many extreme environments, such as deserts, hot springs, and high-salt environments, Cyanobacteria was a locally dominant producer.…”
Section: Analysis and Discussionmentioning
confidence: 99%
“…Few other studies have addressed the issue of ecotype formation using model-based inference methods. When such methods are used, they are commonly focused on testing whether divergence occurred with or without gene flow (Klütsch, Manseau, Trim, Polfus, & Wilson, 2016), whether there is ongoing gene flow (Bakovic et al, 2021), as well as on finding the most likely population tree for a given set of sampled populations (Louis et al, 2014) or estimating relevant demographic parameters (Andrew, Kane, Baute, Grassa, & Rieseberg, 2013). Thus, model-based inference methods were rarely used to explicitly contrast different demographic scenarios of ecotype formation, but some examples exist using coalescent-based approaches (Hume, Recknagel, Bean, Adams, & Mable, 2018) coupled with maximum composite-likelihoods (Le Moan, Gagnaire, & Bonhomme, 2016) or ABC (Butlin et al, 2014).…”
Section: Introductionmentioning
confidence: 99%