Evidence map›Paper›PMID 33791533›Full record

ArticleIntegrative organismal biology (Oxford, England)2019

How to Investigate the Origins of Novelty: Insights Gained from Genetic, Behavioral, and Fitness Perspectives.

C H Martin, J A McGirr, E J Richards, M E St John

Abstract read
In one paragraph

Article in Integrative organismal biology (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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  12. Pollen feeding inProceedings. Biological sciences · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

C H MartinDepartment of Integrative Biology and Museum of Vertebrate Zoology, University of California, Berkeley, CA 94720, USA.ORCID 0000-0001-7989-9124
J A McGirrDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA.
E J RichardsDepartment of Integrative Biology and Museum of Vertebrate Zoology, University of California, Berkeley, CA 94720, USA.
M E St JohnDepartment of Integrative Biology and Museum of Vertebrate Zoology, University of California, Berkeley, CA 94720, USA.

Funding

Discovery and functional analysis of novel candidate genes and variants underlying craniofacial diversification in Cyprinodon pupfishesR01DE027052 · NIDCR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Christopher Herbert Martin · 2018 to 2026
$3.0M
NIDCR NIH HHS R01 DE027052
6 · The paper itself

Abstract

Biologists are drawn to the most extraordinary adaptations in the natural world, often referred to as evolutionary novelties, yet rarely do we understand the microevolutionary context underlying the origins of novel traits, behaviors, or ecological niches. Here we discuss insights gained into the origins of novelty from a research program spanning biological levels of organization from genotype to fitness in Caribbean pupfishes. We focus on a case study of the origins of novel trophic specialists on San Salvador Island, Bahamas and place this radiation in the context of other rapid radiations. We highlight questions that can be addressed about the origins of novelty at different biological levels, such as measuring the isolation of novel phenotypes on the fitness landscape, locating the spatial and temporal origins of adaptive variation contributing to novelty, detecting dysfunctional gene regulation due to adaptive divergence, and connecting behaviors with novel traits. Evolutionary novelties are rare, almost by definition, and we conclude that integrative case studies can provide insights into this rarity relative to the dynamics of adaptation to more common ecological niches and repeated parallel speciation, such as the relative isolation of novel phenotypes on fitness landscapes and the transient availability of ecological, genetic, and behavioral opportunities.

Identifiers

PMID33791533
PMCPMC7671130

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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.