ArticleeLife2020
Rank orders and signed interactions in evolutionary biology.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
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Who cites it
7 citing papers in PubMed, 23 citations in OpenAlex.
- Resolving discrepancies between chimeric and multiplicative measures of higher-order epistasis.Nature communications · 2025Article
- Soil Bacteria in Archaeology: What Could Rank Abundance Functions Tell Us About Ancient Human Impacts on Microbial Communities?Microorganisms · 2024Article
- Master regulators of biological systems in higher dimensions.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Design, analysis, and interpretation of treatment response heterogeneity in personalized nutrition and obesity treatment research.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2023 · on this mapReview
- DeconstructingiScience · 2023Article
- Relation Between the Number of Peaks and the Number of Reciprocal Sign Epistatic Interactions.Bulletin of mathematical biology · 2022Article
- Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rank orders have been studied in evolutionary biology for almost a hundred years. Constraints on the order in which mutations accumulate are known from cancer drug treatment, and order constraints for species invasions are important in ecology. However, current theory on rank orders in biology is somewhat fragmented. Here, we show how our previous work on inferring genetic interactions from comparative fitness data (Crona et al., 2017) is related to an influential approach to rank orders based on sign epistasis. Our approach depends on order perturbations that indicate interactions. We apply our results to malaria parasites and find that order perturbations beyond sign epistasis are prevalent in the antimalarial drug-resistance landscape. This finding agrees with the observation that reversed evolution back to the ancestral type is difficult. Another application concerns the adaptation of bacteria to a methanol environment.
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Registered trials
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