Predicting the future

Greg M. Walter; Katrina McGuigan

doi:10.7554/eLife.91450

Predicting the future

Greg M. Walter, Katrina McGuigan

School of Biological Sciences

Research output: Contribution to journal › Editorial › Other › peer-review

1 Citation (Scopus)

Abstract

Experiments on worms suggest that a statistical measure called the G matrix can accurately predict how phenotypes will adapt to a novel environment over multiple generations.

Original language	English
Article number	e91450
Number of pages	3
Journal	eLife
Volume	12
DOIs	https://doi.org/10.7554/eLife.91450
Publication status	Published - 6 Sept 2023

Keywords

adaptation
C. elegans
evolutionary biology
experimental evolution
G-matrix
locomotion behavior
phenotypic evolution
quantitative genetics

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10.7554/eLife.91450Licence: CC BY

Cite this

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title = "Predicting the future",

abstract = "Experiments on worms suggest that a statistical measure called the G matrix can accurately predict how phenotypes will adapt to a novel environment over multiple generations.",

keywords = "adaptation, C. elegans, evolutionary biology, experimental evolution, G-matrix, locomotion behavior, phenotypic evolution, quantitative genetics",

author = "Walter, \{Greg M.\} and Katrina McGuigan",

note = "Publisher Copyright: {\textcopyright} 2023, Walter and McGuigan.",

year = "2023",

month = sep,

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doi = "10.7554/eLife.91450",

language = "English",

volume = "12",

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T1 - Predicting the future

AU - Walter, Greg M.

AU - McGuigan, Katrina

PY - 2023/9/6

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N2 - Experiments on worms suggest that a statistical measure called the G matrix can accurately predict how phenotypes will adapt to a novel environment over multiple generations.

AB - Experiments on worms suggest that a statistical measure called the G matrix can accurately predict how phenotypes will adapt to a novel environment over multiple generations.

KW - adaptation

KW - C. elegans

KW - evolutionary biology

KW - experimental evolution

KW - G-matrix

KW - locomotion behavior

KW - phenotypic evolution

KW - quantitative genetics

UR - https://www.scopus.com/pages/publications/85169756282

U2 - 10.7554/eLife.91450

DO - 10.7554/eLife.91450

M3 - Editorial

C2 - 37671937

AN - SCOPUS:85169756282

SN - 2050-084X

VL - 12

JO - eLife

JF - eLife

M1 - e91450

ER -

Predicting the future

Abstract

Keywords

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