ReviewNature ecology & evolution2017
Maximizing ecological and evolutionary insight in bisulfite sequencing data sets.
Review in Nature ecology & evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
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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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed.
- Non-Invasive Measures of DNA Methylation Capture Molecular Aging in Wild Capuchin Monkeys.Molecular ecology · 2026Article
- Methods for analysing wildlife DNA methylation data.Conservation physiology · 2026Article
- Distinct Co-methylation Patterns in African and European Populations and Their Genetic Associations.Genomics, proteomics & bioinformatics · 2025Article
- Genetic Architecture of Immune Cell DNA Methylation in the Rhesus Macaque.Molecular ecology · 2025Article
- Adaptation to Freshwater in Allis Shad Involved a Combination of Genomic and Epigenomic Changes.Journal of molecular evolution · 2025Article
- Rapid Neural DNA Methylation Responses to Predation Stress in Trinidadian Guppies.Molecular ecology · 2025Article
- Cost-effective solutions for high-throughput enzymatic DNA methylation sequencing.PLoS genetics · 2025Article
- Epigenetic variation in light of population genetic practice.Nature communications · 2025Review
- DNA methylation patterns linked to salinity and geography in the American eel (Environmental epigenetics · 2025Article
- Genetic and epigenetic differentiation in response to genomic selection for avian lay date.Evolutionary applications · 2024Article
- Regulatory and evolutionary impact of DNA methylation in two songbird species and their naturally occurring FBMC biology · 2024Article
- Associations between DNA methylation and gene regulation depend on chromatin accessibility during transgenerational plasticity.BMC biology · 2023Article
- Context-dependent DNA methylation signatures in animal livestock.Environmental epigenetics · 2023Article
- Genome-wide DNA methylation patterns harbour signatures of hatchling sex and past incubation temperature in a species with environmental sex determination.Molecular ecology · 2022Article
- Infection by a helminth parasite is associated with changes in DNA methylation in the house sparrow.Ecology and evolution · 2022Article
- Epigenetics and reproductive isolation: a commentary on Westram et al., 2022.Journal of evolutionary biology · 2022Article
- Wild epigenetics: insights from epigenetic studies on natural populations.Proceedings. Biological sciences · 2022Review
- Performance of methods to detect genetic variants from bisulphite sequencing data in a non-model species.Molecular ecology resources · 2022Article
- Phenotypic and Methylome Responses to Salt Stress inFrontiers in plant science · 2022Article
- Epigenetic biomarkers for animal welfare monitoring.Frontiers in veterinary science · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Genome-scale bisulfite sequencing approaches have opened the door to ecological and evolutionary studies of DNA methylation in many organisms. These approaches can be powerful. However, they introduce new methodological and statistical considerations, some of which are particularly relevant to non-model systems. Here, we highlight how these considerations influence a study's power to link methylation variation with a predictor variable of interest. Relative to current practice, we argue that sample sizes will need to increase to provide robust insights. We also provide recommendations for overcoming common challenges and an R Shiny app to aid in study design.
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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 Socratic graph.