• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

相似文献

1
A general population genetic theory for the evolution of developmental interactions.一种关于发育相互作用进化的群体遗传学通用理论。
Proc Natl Acad Sci U S A. 2002 Nov 26;99(24):15518-23. doi: 10.1073/pnas.202620999. Epub 2002 Nov 18.
2
Environmental Epigenetics and a Unified Theory of the Molecular Aspects of Evolution: A Neo-Lamarckian Concept that Facilitates Neo-Darwinian Evolution.环境表观遗传学与进化分子层面的统一理论：一种促进新达尔文主义进化的新拉马克主义概念。
Genome Biol Evol. 2015 Apr 26;7(5):1296-302. doi: 10.1093/gbe/evv073.
3
Developmental interactions and the constituents of quantitative variation.发育相互作用与数量变异的组成部分
Evolution. 2001 Feb;55(2):232-45. doi: 10.1111/j.0014-3820.2001.tb01289.x.
4
Genetic evolution, plasticity, and bet-hedging as adaptive responses to temporally autocorrelated fluctuating selection: A quantitative genetic model.作为对时间自相关波动选择的适应性反应的遗传进化、可塑性和风险对冲：一个数量遗传模型。
Evolution. 2015 Aug;69(8):2034-49. doi: 10.1111/evo.12716. Epub 2015 Aug 6.
5
The temporal distribution of directional gradients under selection for an optimum.在选择最优值时方向梯度的时间分布。
Evolution. 2014 Dec;68(12):3381-94. doi: 10.1111/evo.12532. Epub 2014 Nov 21.
6
Evolution of phenotype-environment associations by genetic responses to selection and phenotypic plasticity in a temporally autocorrelated environment.在时间自相关环境中，通过对选择的遗传反应和表型可塑性实现表型 - 环境关联的进化。
Evolution. 2014 May;68(5):1374-84. doi: 10.1111/evo.12371. Epub 2014 Feb 23.
7
The opportunity for canalization and the evolution of genetic networks.渠化的机会与遗传网络的进化。
Am Nat. 2005 Feb;165(2):147-62. doi: 10.1086/426873. Epub 2004 Dec 6.
8
Evolution of variation and variability under fluctuating, stabilizing, and disruptive selection.在波动选择、稳定选择和破坏选择下的变异和变异性的进化。
Evolution. 2010 Jul;64(7):1912-25. doi: 10.1111/j.1558-5646.2010.00979.x. Epub 2010 Feb 19.
9
Selection and evolution of causally covarying traits.因果共变特征的选择与进化。
Evolution. 2014 Jun;68(6):1748-61. doi: 10.1111/evo.12385. Epub 2014 Apr 16.
10
Variation, selection and evolution of function-valued traits.功能值性状的变异、选择与进化。
Genetica. 2001;112-113:87-104.

引用本文的文献

1
Generative AI extracts ecological meaning from the complex three dimensional shapes of bird bills.生成式人工智能从鸟类喙部复杂的三维形状中提取生态意义。
PLoS Comput Biol. 2025 Mar 17;21(3):e1012887. doi: 10.1371/journal.pcbi.1012887. eCollection 2025 Mar.
2
Utilizing developmental dynamics for evolutionary prediction and control.利用发展动力学进行进化预测和控制。
Proc Natl Acad Sci U S A. 2024 Apr 2;121(14):e2320413121. doi: 10.1073/pnas.2320413121. Epub 2024 Mar 26.
3
Selection on modifiers of genetic architecture under migration load.遗传结构修饰基因在迁移负荷下的选择。
PLoS Genet. 2022 Sep 7;18(9):e1010350. doi: 10.1371/journal.pgen.1010350. eCollection 2022 Sep.
4
Directional selection and the evolution of breeding date in birds, revisited: Hard selection and the evolution of plasticity.再探定向选择与鸟类繁殖日期的进化：硬选择与可塑性的进化
Evol Lett. 2022 Feb 28;6(2):178-188. doi: 10.1002/evl3.279. eCollection 2022 Apr.
5
Steering ecological-evolutionary dynamics to improve artificial selection of microbial communities.引导生态进化动力学，以改善微生物群落的人工选择。
Nat Commun. 2021 Nov 23;12(1):6799. doi: 10.1038/s41467-021-26647-4.
6
Quantifying Glucocorticoid Plasticity Using Reaction Norm Approaches: There Still is So Much to Discover!使用反应规范方法量化糖皮质激素的可塑性：仍有很多有待发现！
Integr Comp Biol. 2022 Aug 13;62(1):58-70. doi: 10.1093/icb/icab196.
7
Using phenotypic plasticity to understand the structure and evolution of the genotype-phenotype map.利用表型可塑性来理解基因型-表型图谱的结构和演化。
Genetica. 2022 Aug;150(3-4):209-221. doi: 10.1007/s10709-021-00135-5. Epub 2021 Oct 6.
8
The integrative biology of genetic dominance.遗传优势的综合生物学。
Biol Rev Camb Philos Soc. 2021 Dec;96(6):2925-2942. doi: 10.1111/brv.12786. Epub 2021 Aug 12.
9
A model of developmental canalization, applied to human cranial form.一种应用于人类颅骨形态的发育稳态模型。
PLoS Comput Biol. 2021 Feb 16;17(2):e1008381. doi: 10.1371/journal.pcbi.1008381. eCollection 2021 Feb.
10
Evolutionary dynamics models in biometrical genetics supports QTL × environment interactions.生物统计学遗传学中的进化动力学模型支持数量性状基因座×环境互作。
J Genet. 2019 Jun;98(2).

本文引用的文献

1
A POPULATION GENETIC THEORY OF CANALIZATION.一种关于发育稳定性的群体遗传理论。
Evolution. 1997 Apr;51(2):329-347. doi: 10.1111/j.1558-5646.1997.tb02420.x.
2
EPISTASIS AS A SOURCE OF INCREASED ADDITIVE GENETIC VARIANCE AT POPULATION BOTTLENECKS.上位性作为种群瓶颈处加性遗传方差增加的一个来源。
Evolution. 1996 Jun;50(3):1042-1051. doi: 10.1111/j.1558-5646.1996.tb02345.x.
3
THE EVOLUTION OF CANALIZATION AND THE BREAKING OF VON BAER'S LAWS: MODELING THE EVOLUTION OF DEVELOPMENT WITH EPISTASIS.发育稳态的演化与冯·贝尔定律的突破：用上位性模拟发育的演化
Evolution. 1998 Jun;52(3):647-656. doi: 10.1111/j.1558-5646.1998.tb03690.x.
4
QUANTITATIVE GENETIC MODELS FOR DEVELOPMENT, EPIGENETIC SELECTION, AND PHENOTYPIC EVOLUTION.发育、表观遗传选择和表型进化的定量遗传模型
Evolution. 1992 Apr;46(2):495-518. doi: 10.1111/j.1558-5646.1992.tb02054.x.
5
THE MEASUREMENT OF SELECTION ON CORRELATED CHARACTERS.对相关性状选择的度量
Evolution. 1983 Nov;37(6):1210-1226. doi: 10.1111/j.1558-5646.1983.tb00236.x.
6
Nonlinear developmental processes as sources of dominance.作为显性来源的非线性发育过程。
Genetics. 2001 Sep;159(1):423-32. doi: 10.1093/genetics/159.1.423.
7
Genome-wide epistatic interaction analysis reveals complex genetic determinants of circadian behavior in mice.全基因组上位性相互作用分析揭示了小鼠昼夜节律行为的复杂遗传决定因素。
Genome Res. 2001 Jun;11(6):959-80. doi: 10.1101/gr.171601.
8
Developmental interactions and the constituents of quantitative variation.发育相互作用与数量变异的组成部分
Evolution. 2001 Feb;55(2):232-45. doi: 10.1111/j.0014-3820.2001.tb01289.x.
9
Modeling genetic architecture: a multilinear theory of gene interaction.遗传结构建模：基因相互作用的多线性理论
Theor Popul Biol. 2001 Feb;59(1):61-86. doi: 10.1006/tpbi.2000.1508.
10
Competition among body parts in the development and evolution of insect morphology.昆虫形态发育与进化过程中身体各部分之间的竞争。
Proc Natl Acad Sci U S A. 1998 Mar 31;95(7):3685-9. doi: 10.1073/pnas.95.7.3685.

一种关于发育相互作用进化的群体遗传学通用理论。

A general population genetic theory for the evolution of developmental interactions.

作者信息

Rice Sean H

机构信息

Department of Ecology and Evolutionary Biology, Osborn Memorial Laboratories, Yale University, New Haven, CT 06520, USA.

出版信息

Proc Natl Acad Sci U S A. 2002 Nov 26;99(24):15518-23. doi: 10.1073/pnas.202620999. Epub 2002 Nov 18.

DOI:10.1073/pnas.202620999
PMID:12438697
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC137749/
Abstract

The development of most phenotypic traits involves complex interactions between many underlying factors, both genetic and environmental. To study the evolution of such processes, a set of mathematical relationships is derived that describe how selection acts to change the distribution of genetic variation given arbitrarily complex developmental interactions and any distribution of genetic and environmental variation. The result is illustrated by using it to derive models for the evolution of dominance and for the evolutionary consequences of asymmetry in the distribution of genetic variation.

摘要

大多数表型性状的发育涉及许多潜在因素（包括遗传因素和环境因素）之间的复杂相互作用。为了研究此类过程的进化，我们推导了一组数学关系，这些关系描述了在任意复杂的发育相互作用以及遗传和环境变异的任何分布情况下，选择如何作用以改变遗传变异的分布。通过将其用于推导显性进化模型以及遗传变异分布不对称的进化后果模型来说明这一结果。