scholarly journals Author response: Cryptic genetic variation shapes the adaptive evolutionary potential of enzymes

2018 ◽  
Author(s):  
Florian Baier ◽  
Nansook Hong ◽  
Gloria Yang ◽  
Anna Pabis ◽  
Charlotte M Miton ◽  
...  
2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Sneha L. Koneru ◽  
Mark Hintze ◽  
Dimitris Katsanos ◽  
Michalis Barkoulas

AbstractA fundamental question in medical genetics is how the genetic background modifies the phenotypic outcome of mutations. We address this question by focusing on the seam cells, which display stem cell properties in the epidermis of Caenorhabditis elegans. We demonstrate that a putative null mutation in the GATA transcription factor egl-18, which is involved in seam cell fate maintenance, is more tolerated in the CB4856 isolate from Hawaii than the lab reference strain N2 from Bristol. We identify multiple quantitative trait loci (QTLs) underlying the difference in phenotype expressivity between the two isolates. These QTLs reveal cryptic genetic variation that reinforces seam cell fate through potentiating Wnt signalling. Within one QTL region, a single amino acid deletion in the heat shock protein HSP-110 in CB4856 is sufficient to modify Wnt signalling and seam cell development, highlighting that natural variation in conserved heat shock proteins can shape phenotype expressivity.


BMC Genomics ◽  
2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Basten L. Snoek ◽  
Mark G. Sterken ◽  
Roel P. J. Bevers ◽  
Rita J. M. Volkers ◽  
Arjen van’t Hof ◽  
...  

2019 ◽  
Author(s):  
Angélica Cuevas ◽  
Mark Ravinet ◽  
Glenn-Peter Sætre ◽  
Fabrice Eroukhmanoff

ABSTRACTHybridization increases genetic variation, hence hybrid species may have a strong evolutionary potential once their admixed genomes have stabilized and incompatibilities have been purged. Yet, little is known about how such hybrid lineages evolve at the genomic level following their formation, in particular the characteristics of their adaptive potential, i.e. constraints and facilitations of diversification. Here we investigate how the Italian sparrow (Passer italiae), a homoploid hybrid species, has evolved and locally adapted to its variable environment. Using restriction site-associated DNA sequencing (RAD-seq) on several populations across the Italian peninsula, we evaluate how genomic constraints and novel genetic variation have influenced population divergence and adaptation. We show that population divergence within this hybrid species has evolved in response to climatic variation. As in non-hybrid species, climatic differences may even reduce gene flow between populations, suggesting ongoing local adaptation. We report outlier genes associated with adaptation to climatic variation, known to be involved in beak morphology in other species. Most of the strongly divergent loci among Italian sparrow populations seem not to be differentiated between its parent species, the house and Spanish sparrow. Within the parental species, population divergence has occurred mostly in loci where different alleles segregate in the parent species, unlike in the hybrid, suggesting that novel combinations of parental alleles in the hybrid have not necessarily enhanced its evolutionary potential. Rather, our study suggests that constraints linked to incompatibilities may have restricted the evolution of this admixed genome, both during and after hybrid species formation.


Genetics ◽  
2019 ◽  
Vol 211 (4) ◽  
pp. 1469-1482 ◽  
Author(s):  
Jonathan T. Lee ◽  
Alessandro L. V. Coradini ◽  
Amy Shen ◽  
Ian M. Ehrenreich

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2504 ◽  
Author(s):  
Katarzyna Bilska ◽  
Monika Szczecińska

BackgroundResearch into the protection of rare and endangered plant species involves genetic analyses to determine their genetic variation and genetic structure. Various categories of genetic markers are used for this purpose. Microsatellites, also known as simple sequence repeats (SSR), are the most popular category of markers in population genetics research. In most cases, microsatellites account for a large part of the noncoding DNA and exert a neutral effect on the genome. Neutrality is a desirable feature in evaluations of genetic differences between populations, but it does not support analyses of a population’s ability to adapt to a given environment or its evolutionary potential. Despite the numerous advantages of microsatellites, non-neutral markers may supply important information in conservation genetics research. They are used to evaluate adaptation to specific environmental conditions and a population’s adaptive potential. The aim of this study was to compare the level of genetic variation inPulsatilla patenspopulations revealed by neutral SSR markers and putatively adaptive ISJ markers (intron-exon splice junction).MethodsThe experiment was conducted on 14 Polish populations ofP. patensand threeP. patenspopulations from the nearby region of Vitebsk in Belarus. A total of 345 individuals were examined. Analyses were performed with the use of eight SSR primers specific toP. patensand three ISJ primers.ResultsSSR markers revealed a higher level of genetic variation than ISJ markers (He= 0.609,He= 0.145, respectively). An analysis of molecular variance (AMOVA) revealed that, the overall genetic diversity between the analyzed populations defined by parametersFSTand ΦPTfor SSR (20%) and ΦPTfor ISJ (21%) markers was similar. Analysis conducted in theStructureprogram divided analyzed populations into two groups (SSR loci) and three groups (ISJ markers). Mantel test revealed correlations between the geographic distance and genetic diversity of Polish populations ofP. patensfor ISJ markers, but not for SSR markers.ConclusionsThe results of the present study suggest that ISJ markers can complement the analyses based on SSRs. However, neutral and adaptive markers should not be alternatively applied. Neutral microsatellite markers cannot depict the full range of genetic variation in a population because they do not enable to analyze functional variation. Although ISJ markers are less polymorphic, they can contribute to the reliability of analyses based on SSRs.


2020 ◽  
Author(s):  
Thibaut Capblancq ◽  
Xavier Morin ◽  
Maya Gueguen ◽  
Julien Renaud ◽  
Stéphane Lobreaux ◽  
...  

2020 ◽  
Vol 21 (3) ◽  
pp. 501-514 ◽  
Author(s):  
Eben-Ezer Baba Kayode Ewédjè ◽  
Simon Jansen ◽  
Guillaume Kouame Koffi ◽  
Adrien Staquet ◽  
Rosalia Piñeiro ◽  
...  

2008 ◽  
Vol 23 (1) ◽  
pp. 33-37 ◽  
Author(s):  
A LEROUZIC ◽  
O CARLBORG

Sign in / Sign up

Export Citation Format

Share Document