scholarly journals Ecological genetic conflict between specialism and plasticity through genomic islands of divergence

2018 ◽  
Author(s):  
Olof Leimar ◽  
Sasha R. X. Dall ◽  
John M. McNamara ◽  
Bram Kuijper ◽  
Peter Hammerstein
Keyword(s):  
Phenotypic Plasticity ◽  
Local Adaptation ◽  
Genetic Architecture ◽  
Genomic Island ◽  
Reaction Norm ◽  
Genomic Islands ◽  
Genetic Conflict ◽  
Heterogeneous Habitats ◽  
Developmental Responses ◽  
Insight Into

AbstractThere can be genetic conflict between genome elements differing in transmission patterns, and thus in evolutionary interests. We show here that the concept of genetic conflict provides new insight into local adaptation and phenotypic plasticity. Local adaptation to heterogeneous habitats sometimes occurs as tightly linked clusters of genes with among-habitat polymorphism, referred to as genomic islands of divergence, and our work sheds light on their evolution. Phenotypic plasticity can also influence the divergence between ecotypes, through developmental responses to habitat-specificcues. We show that clustered genes coding for ecological specialism and unlinked generalist genes coding for phenotypic plasticity differ in their evolutionary interest. This is an ecological genetic conflict, operating between habitat specialism and phenotypically plastic generalism. The phenomenon occurs both for single traits and for syndromes of co-adapted traits. Using individual-based simulations and numerical analysis, we investigate how among-habitat genetic polymorphism and phenotypic plasticity depend on genetic architecture. We show that for plasticity genes that are unlinked to a genomic island of divergence, the slope of a reaction norm will be steeper in comparison with the slope favored by plasticity genes that are tightly linked to genes for local adaptation.

scholarly journals Ecological Genetic Conflict: Genetic Architecture Can Shift the Balance between Local Adaptation and Plasticity

2019 ◽  
Vol 193 (1) ◽  
pp. 70-80 ◽  
Author(s):  
Olof Leimar ◽  
Sasha R. X. Dall ◽  
John M. McNamara ◽  
Bram Kuijper ◽  
Peter Hammerstein
Keyword(s):  
Local Adaptation ◽  
Genetic Architecture ◽  
Genetic Conflict

scholarly journals Untangling the Components of Phenotypic Plasticity in Nonlinear Reaction Norms of Drosophila Mediopunctata Pigmentation

2016 ◽  
Author(s):  
Felipe Bastos Rocha ◽  
Louis Bernard Klaczko
Keyword(s):  
Phenotypic Plasticity ◽  
Genetic Architecture ◽  
Empirical Studies ◽  
Strong Association ◽  
Experimental Studies ◽  
Reaction Norm ◽  
Developmental Model ◽  
Reaction Norms ◽  
Mean Values ◽  
Local Plasticity

AbstractPhenotypic plasticity may evolve as a generalist strategy to cope with environmental heterogeneity. Empirical studies, however, rarely find results confirming this prediction. This may be related to constraints imposed by the genetic architecture underlying plasticity variation. Three components of plasticity are central to characterize its variation: the intensity of response, the direction of response and the total amount of change. Reaction norm functions are a key analytical tool in plasticity studies. The more complex they are, the more plasticity components will vary independently, requiring more parameters to be described. Experimental studies are continuously collecting results showing that actual reaction norms are often nonlinear. This demands an analytical framework – yet to be developed – capable of straightforwardly untangling plasticity components. In Drosophila mediopunctata, the number of dark spots on the abdomen decreases as a response to increasing developmental temperatures. We have previously described a strong association between reaction norm curvature and across-environment mean values in homozygous strains. Here, we describe seven new reaction norms of heterozygous genotypes and further the investigation on the genetic architecture of this trait’s plasticity, testing three competing models from the literature – Overdominance, Epistasis and Pleiotropy. We use the curves of localized slopes of each reaction norm – Local Plasticity functions – to characterize the plastic response intensity and direction, and introduce a Global Plasticity parameter to quantify their total amount of change. Uncoupling plasticity components allowed us to discard the Overdominance model, weaken the Epistasis model and strengthen the support for the Pleiotropy model. Furthermore, this approach allows the elaboration of a coherent developmental model for the pigmentation of D. mediopunctata where genetic variation at one single feature explains the patterns of plasticity and overall expression of the trait. We claim that Global Plasticity and Local Plasticity may prove instrumental to the understanding of adaptive reaction norm evolution

AsaGEI2d: a new variant of a genomic island identified in a group of Aeromonas salmonicida subsp. salmonicida isolated from France, which bears the pAsa7 plasmid

2021 ◽  
Author(s):  
Antony T Vincent ◽  
Laurent Intertaglia ◽  
Victor Loyer ◽  
Valérie E Paquet ◽  
Émilie Adouane ◽  
...  
Keyword(s):  
Genomic Island ◽  
Insertion Site ◽  
Aeromonas Salmonicida ◽  
Genomic Islands ◽  
The Other ◽  
Fish Pathogen ◽  
Integrase Gene ◽  
New Variant ◽  
Cat Gene ◽  
Unique Genes

Abstract Genomic islands (Aeromonas salmonicida genomic islands, AsaGEIs) are found worldwide in many isolates of Aeromonas salmonicida subsp. salmonicida, a fish pathogen. To date, five variants of AsaGEI (1a, 1b, 2a, 2b and 2c) have been described. Here, we investigate a sixth AsaGEI, which was identified in France between 2016 and 2019 in 20 A. salmonicida subsp. salmonicida isolates recovered from sick salmon all at the same location. This new AsaGEI shares the same insertion site in the chromosome as the other AsaGEI2s as they all have a homologous integrase gene. This new AsaGEI was thus named AsaGEI2d, and has 5 unique genes compared to the other AsaGEIs. The isolates carrying AsaGEI2d also bear the plasmid pAsa7, which was initially found in an isolate from Switzerland. This plasmid provides resistance to chloramphenicol thanks to a cat gene. This study reveals more about the diversity of the AsaGEIs.

Phenotypic plasticity and local adaptation in freeze tolerance: Implications for parasite dynamics in a changing world

2020 ◽  
Vol 50 (2) ◽  
pp. 161-169 ◽  
Author(s):  
O. Alejandro Aleuy ◽  
Stephanie Peacock ◽  
Eric P. Hoberg ◽  
Kathreen E. Ruckstuhl ◽  
Taylor Brooks ◽  
...  
Keyword(s):  
Phenotypic Plasticity ◽  
Local Adaptation ◽  
Freeze Tolerance ◽  
Parasite Dynamics ◽  
Changing World

Freshwater snail responses to fish predation integrate phenotypic plasticity and local adaptation

2020 ◽  
Vol 54 (1) ◽  
pp. 309-322 ◽  
Author(s):  
Scott R. Goeppner ◽  
Maggie E. Roberts ◽  
Lynne E. Beaty ◽  
Barney Luttbeg
Keyword(s):  
Phenotypic Plasticity ◽  
Local Adaptation ◽  
Fish Predation ◽  
Freshwater Snail

Implications of phenotypic plasticity for numerical taxonomy of Ornithogalum montanum (Liliaceae)

1991 ◽  
Vol 69 (1) ◽  
pp. 34-38 ◽  
Author(s):  
M. Pigliucci ◽  
M. G. Politi ◽  
D. Bellincampi
Keyword(s):  
Principal Component Analysis ◽  
Phenotypic Plasticity ◽  
Numerical Taxonomy ◽  
Natural Populations ◽  
Principal Component ◽  
Reaction Norm ◽  
Component Analysis ◽  
Morphological Response ◽  
Numerical Taxonomic Study ◽  
High Degree

Implications of phenotypic plasticity in a subspecific numerical taxonomic study of Ornithogalum montanum Cyr. (Liliaceae) are discussed. Clones belonging to six natural populations were grown in a glasshouse, and their morphological response to three water dosages was analyzed by means of principal component analysis. PC-1 ranks the three groups of replicated populations, suggesting a high degree of phenotypic plasticity; on the other hand, PC-3 is almost environmentally independent. Proximities in the phenetic space are shown to be at least partially environmentally dependent, suggesting a reaction norm for the character correlation matrix. The results do not corroborate a previous recognition of six subspecies of O. montanum. Key words: phenotypic plasticity, numerical taxonomy, Ornithogalum, reaction norm, principal component analysis.

scholarly journals Genetic basis of phenotypic plasticity and genotype x environment interaction in a multi-parental population

2020 ◽  
Author(s):  
Isidore Diouf ◽  
Laurent Derivot ◽  
Shai Koussevitzky ◽  
Yolande Carretero ◽  
Frédérique Bitton ◽  
...  
Keyword(s):  
Phenotypic Plasticity ◽  
Genetic Architecture ◽  
Genetic Basis ◽  
Linear Models ◽  
Global Climate ◽  
Functional Characterization ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Multiple Traits ◽  
Genotype X Environment

AbstractDeciphering the genetic basis of phenotypic plasticity and genotype x environment interaction (GxE) is of primary importance for plant breeding in the context of global climate change. Tomato is a widely cultivated crop that can grow in different geographical habitats and which evinces a great capacity of expressing phenotypic plasticity. We used a multi-parental advanced generation intercross (MAGIC) tomato population to explore GxE and plasticity for multiple traits measured in a multi-environment trial (MET) design comprising optimal cultural conditions and water deficit, salinity and heat stress over 12 environments. Substantial GxE was observed for all the traits measured. Different plasticity parameters were estimated through the Finlay-Wilkinson and factorial regression models and used together with the genotypic means for quantitative trait loci (QTL) mapping analyses. Mixed linear models were further used to investigate the presence of interactive QTLs (QEI). The results highlighted a complex genetic architecture of tomato plasticity and GxE. Candidate genes that might be involved in the occurrence of GxE were proposed, paving the way for functional characterization of stress response genes in tomato and breeding for climate-adapted crop.HighlightThe genetic architecture of tomato response to several abiotic stresses is deciphered. QTL for plasticity and QTL x Environment were identified in a highly recombinant MAGIC population.

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