2017
DOI: 10.1101/203307
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

The genomics of local adaptation in trees: Are we out of the woods yet?

Abstract: 11There is substantial interest in uncovering the genetic basis of the traits underlying adaptive 12 responses in tree species, as this information will ultimately aid conservation and industrial 13 endeavors across populations, generations, and environments. Fundamentally, the 14 characterization of such genetic bases is within the context of a genetic architecture, which 15 describes the mutlidimensional relationship between genotype and phenotype through the 16 identification of causative variants, their re… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

0
12
0

Year Published

2019
2019
2021
2021

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 10 publications
(12 citation statements)
references
References 354 publications
0
12
0
Order By: Relevance
“…However, synonymous SNPs could also be under direct selection and cause changes in phenotypic traits, since they can affect mRNA splicing, mRNA stability, and translation kinetics 94 96 or affect translation and protein synthesis due to tRNA bias 97 , 98 . This highlights the importance of considering not only non-synonymous SNPs but also synonymous and non-coding SNPs, since they could have a key role in gene expression and post-transcriptional regulation and, thus, influence important adaptive phenotypic traits 47 , 62 , 99 , 100 .…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, synonymous SNPs could also be under direct selection and cause changes in phenotypic traits, since they can affect mRNA splicing, mRNA stability, and translation kinetics 94 96 or affect translation and protein synthesis due to tRNA bias 97 , 98 . This highlights the importance of considering not only non-synonymous SNPs but also synonymous and non-coding SNPs, since they could have a key role in gene expression and post-transcriptional regulation and, thus, influence important adaptive phenotypic traits 47 , 62 , 99 , 100 .…”
Section: Discussionmentioning
confidence: 99%
“…The genetic variation underlying many traits in forest trees is likely to be polygenic, controlled by a large number of loci with small and moderate effects [46][47][48] . A common approach for the identification of genetic polymorphisms underlying adaptive traits is to test for associations between phenotypes and genetic variation 49,50 .…”
mentioning
confidence: 99%
“…Heterogeneity in the distribution of abiotic and biotic factors has the potential to impede gene flow by creating geographic barriers or a matrix of unsuitable habitat across which dispersal cannot occur (Sork et al., 1999; Wang & Bradburd, 2014). On one hand, isolated populations may be able to adapt to local conditions more rapidly because non‐adapted alleles no longer flow into the population (Lind et al., 2018). Such populations may also lack the genetic variation to respond to novel environmental selection, thus increasing the risks of local extirpation (Aitken et al., 2008).…”
Section: Introductionmentioning
confidence: 99%
“…These technological and methodological advances have increased our capacity to investigate the genomic basis of local adaptation in an increasingly large number of non‐model species. However, our ability to validate candidate adaptive loci that are identified through outlier‐based approaches has lagged for a number of reasons, including: the small number of well‐annotated reference genomes available; the difficulty of obtaining phenotypic data for many species (especially at the large sample sizes needed for robust genome‐wide association studies to identify small effect loci that underlie most quantitative traits); and the impracticality of experimental approaches to validation for many organisms, such as common gardens and reciprocal transplants (e.g., Cushman, ; de Villemereuil, Gaggiotti, & Till‐Bottraud, ; Lind, Menon, Bolte, Faske, & Eckert, ). In this context, simulation models may be the best option currently available for corroborating empirical findings in many species.…”
Section: Discussionmentioning
confidence: 99%