Evidence map›Paper›PMID 32494748›Full record

ArticleScience advances2020

Phenotypic plasticity as a long-term memory easing readaptations to ancestral environments.

Wei-Chin Ho, Diyan Li, Qing Zhu, Jianzhi Zhang

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
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

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.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 53 citations in OpenAlex.

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  8. Plastic responses to past environments shape adaptation to novel selection pressures.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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 at 2 institutions in 2 countries.

Wei-Chin HoDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-0848-2476
Diyan LiInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0001-7490-3550
Qing ZhuInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0001-6423-8075
Jianzhi ZhangDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0001-6141-1290
Sichuan Agricultural University · CNUniversity of Michigan · US

Funding

Pleiotropy: patterns, mechanisms, and evolutionary consequencesR01GM103232 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, JIANZHI · 2013 to 2020
$1.8M
NIGMS NIH HHS R01 GM103232
6 · The paper itself

Abstract

Phenotypic plasticity refers to environment-induced phenotypic changes without mutation and is present in all organisms. The role of phenotypic plasticity in organismal adaptations to novel environments has attracted much attention, but its role in readaptations to ancestral environments is understudied. To address this question, we use the reciprocal transplant approach to investigate the multitissue transcriptomes of chickens adapted to the Tibetan Plateau and adjacent lowland. While many genetic transcriptomic changes had occurred in the forward adaptation to the highland, plastic changes largely transform the transcriptomes to the preferred state when Tibetan chickens are brought back to the lowland. The same trend holds for egg hatchability, a key component of the chicken fitness. These findings, along with highly similar patterns in comparable experiments of guppies and

Identifiers

PMID32494748
PMCPMC7244318
OpenAlexW3028578818

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.