ArticleEvolutionary applications2020
Linking genotype to phenotype to identify genetic variation relating to host susceptibility in the mountain pine beetle system.
Article in Evolutionary applications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Uncovering natural variation inFrontiers in plant science · 2026Article
- Low-Coverage Whole-Genome Analysis of Population Structure, Bottlenecks, and Selection in Indiana Bats Before and After White-Nose Syndrome.Molecular ecology · 2025Article
- Impact of putatively beneficial genomic loci on gene expression in little brown bats (Evolutionary applications · 2024Article
- Forest genomics: Advancing climate adaptation, forest health, productivity, and conservation.Evolutionary applications · 2020Article
- Linking genotype to phenotype to identify genetic variation relating to host susceptibility in the mountain pine beetle system.Evolutionary applications · 2020Article
- Genomic biosurveillance of forest invasive alien enemies: A story written in code.Evolutionary applications · 2020Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identifying genetic variants responsible for phenotypic variation under selective pressure has the potential to enable productive gains in natural resource conservation and management. Despite this potential, identifying adaptive candidate loci is not trivial, and linking genotype to phenotype is a major challenge in contemporary genetics. Many of the population genetic approaches commonly used to identify adaptive candidates will simultaneously detect false positives, particularly in nonmodel species, where experimental evidence is seldom provided for putative roles of the adaptive candidates identified by outlier approaches. In this study, we use outcomes from population genetics, phenotype association, and gene expression analyses as multiple lines of evidence to validate candidate genes. Using lodgepole and jack pine as our nonmodel study species, we analyzed 17 adaptive candidate loci together with 78 putatively neutral loci at 58 locations across Canada (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.