Back to the future: genetic correlations, adaptation and speciation

Via, Sara; Hawthorne, David J.

doi:10.1007/s10709-004-2731-y

Cited by 47 publications

(38 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Estimation of the genetic correlation across environments is a straightforward and commonly used technique for the identification of GEI (e.g., Via and Hawthorne [18]). Expansion of the above single trait model to a multiple trait model across environments is easily accomplished.…”

Section: Genetic Correlationsmentioning

confidence: 99%

Genotype by environment interaction for adult body weights of shrimp Penaeus vannamei when grown at low and high densitie

Ibarra

Famula

2008

Genet. Sel. Evol.

View full text Add to dashboard Cite

-Shrimp is one of few marine species cultured worldwide for which several selective breeding programs are being conducted. One environmental factor that can affect the response to selection in breeding programs is the density at which the shrimp are cultured (low-medium-high). Phenotypic plasticity in the growth response to different densities might be accompanied by a significant genotype by environment interaction, evidenced by a change in heritabilities between environments and by a genetic correlation less than one for a unique trait between environments. Our goal was to understand whether different growth densities affect estimates of those genetic parameters for adult body weight (BW) in the Pacific white shrimp (Penaeus vannamei). BW heritabilities were significantly different between environments, with the largest at high density. These differences resulted from both an increased additive genetic variance and a decreased environmental variance when grown at high density. The genetic correlation between BWs at the two environmental conditions was significantly less than one. Whereas these results might be suggestive for carrying out shrimp selective breeding for BW under high density conditions, further understanding of genetic correlations between growth and reproductive traits within a given environment is necessary, as there are indications of reduced reproductive fitness for shrimp grown at high densities.Litopenaeus / heritability / body weight / density / genotype by environment interaction

show abstract

Section: Genetic Correlationsmentioning

confidence: 99%

Genotype by environment interaction for adult body weights of shrimp Penaeus vannamei when grown at low and high densitie

Ibarra

Famula

2008

Genet. Sel. Evol.

View full text Add to dashboard Cite

show abstract

“…In particular, genetic associations among traits conferring reproductive isolation, in the forms of linkage disequilibrium, physical linkage, and pleiotropy, can facilitate divergence by transferring the effects of natural and sexual selection on some traits to others, resulting in the coordinated evolution of a suite of characteristics that together limit mating between incipient species (11)(12)(13)(14)(15). Genetic linkage of sexual isolating traits is particularly widespread in Lepidoptera, where a disproportionately large number of traits distinguishing closely related species are sex-linked (16)(17)(18).…”

mentioning

confidence: 99%

Linkage of butterfly mate preference and wing color preference cue at the genomic location ofwingless

Kronforst

Young

Kapan

et al. 2006

Proc. Natl. Acad. Sci. U.S.A.

324

359

View full text Add to dashboard Cite

Sexual isolation is a critical form of reproductive isolation in the early stages of animal speciation, yet little is known about the genetic basis of divergent mate preferences and preference cues in young species. Heliconius butterflies, well known for their diversity of wing color patterns, mate assortatively as a result of divergence in male preference for wing patterns. Here we show that the specific cue used by Heliconius cydno and Heliconius pachinus males to recognize conspecific females is the color of patches on the wings. In addition, male mate preference segregates with forewing color in hybrids, indicating a genetic association between the loci responsible for preference and preference cue. Quantitative trait locus mapping places a preference locus coincident with the locus that determines forewing color, which itself is perfectly linked to the wing patterning candidate gene, wingless. Furthermore, yellow-colored males of the polymorphic race H. cydno alithea prefer to court yellow females, indicating that wing color and color preference are controlled by loci that are located in an inversion or are pleiotropic effects of a single locus. Tight genetic associations between preference and preference cue, although rare, make divergence and speciation particularly likely because the effects of natural and sexual selection on one trait are transferred to the other, leading to the coordinated evolution of mate recognition. This effect of linkage on divergence is especially important in Heliconius because differentiation of wing color patterns in the genus has been driven and maintained by natural selection for Mü llerian mimicry.Heliconius ͉ Lepidoptera ͉ sexual isolation ͉ speciation

show abstract

“…Falconer and Mackay (1996) considered that quantitative traits, such as branch cluster frequency and stem straightness, are controlled by polygenes that individually contribute small effects. If G×E interactions are high, one or both of the following may be true: (1) different sets of genes are required for high performance relative to a given trait in each environment, or (2) the allelic effects of genes controlling the trait might contribute differently in magnitude to trait variation between environments (Falconer and Mackay 1996;Via and Hawthorne 2005). Therefore, the contribution of a single gene to trait variation when G×E is present could follow one of two possible patterns: only contributing in some environments or contributing differently in magnitude in different environments.…”

Section: Discussionmentioning

confidence: 99%

“…The genetic correlation between additive genetic effects at site i and site j was estimated as r g i j ¼σ a i j ffiffiffiffiffiffiffiffif σ 2 a iσ 2 a j p , wherê σ a i j is the additive genetic covariance between site i and site j, σ 2 a i is the additive genetic variance of site i andσ 2 a j is the additive genetic variance of site j (Burdon 1977). Genetic correlation between sites was used as an indicator of G×E interaction levels: a higher genetic correlation between sites indicated a low G×E interaction, while a low genetic correlation indicated a high G×E interaction (Burdon 1977;Falconer and Mackay 1996;Via and Hawthorne 2005). In tree breeding, a high G×E interaction is considered to exist if the genetic correlation between sites for the same trait is below 0.7 (Shelbourne 1972).…”

Section: Trait Assessmentmentioning

confidence: 99%

See 1 more Smart Citation

Association of single nucleotide polymorphisms with form traits in three New Zealand populations of radiata pine in the presence of genotype by environment interactions

Wilcox

Telfer

et al. 2016

Tree Genetics & Genomes

View full text Add to dashboard Cite

Associations of single nucleotide polymorphisms (SNP) with the form traits, branch cluster frequency and stem straightness, were studied in three radiata pine (Pinus radiata D. Don) breeding populations. For branch cluster frequency, high genotype by environment (G×E) interactions were found between two sites of the POP1 trial series (Tarawera and Glenledi) and between two sites of the POP2 trial series (Tarawera and Woodhill). For stem straightness, high G×E interactions were found between two sites (Tarawera and Woodhill) in both the POP2 and POP3 trial series. Thirtytwo and 26 SNPs were associated with branch cluster frequency and stem straightness respectively, across a number of sites and trial series in a genetic model assuming heterogeneous additive genetic variances across sites. These SNPs had significant associations with branch cluster frequency or stem straightness either in one site only, across sites within a trial series or across different trial series. Seven SNPs had significant associations with branch cluster frequency and seven SNPs with stem straightness across two of three trial series. One SNP had significant association with stem straightness across all three trial series. Strong G×E interactions resulted in fewer significant SNPs in common across the sites among which there were large effect differences. The percentage of genetic variance explained by SNPs showing significant associations ranged from 0.23 to 8.76 % for branch cluster frequency and from 0.37 to 12.75 % for stem straightness. This study showed that SNP effects for a trait change across environments if G×E interactions exist for that trait.

show abstract

Back to the future: genetic correlations, adaptation and speciation

Cited by 47 publications

References 45 publications

Genotype by environment interaction for adult body weights of shrimp Penaeus vannamei when grown at low and high densitie

Genotype by environment interaction for adult body weights of shrimp Penaeus vannamei when grown at low and high densitie

Linkage of butterfly mate preference and wing color preference cue at the genomic location ofwingless

Association of single nucleotide polymorphisms with form traits in three New Zealand populations of radiata pine in the presence of genotype by environment interactions

Contact Info

Product

Resources

About