Literature DB >> 30830713

UNVEILing connections between genotype, phenotype, and fitness in natural populations.

Thomas C Nelson1, Matthew R Jones1, Jonathan P Velotta1, Abhilesh S Dhawanjewar2, Rena M Schweizer1.   

Abstract

Understanding the links between genetic variation and fitness in natural populations is a central goal of evolutionary genetics. This monumental task spans the fields of classical and molecular genetics, population genetics, biochemistry, physiology, developmental biology, and ecology. Advances to our molecular and developmental toolkits are facilitating integrative approaches across these traditionally separate fields, providing a more complete picture of the genotype-phenotype map in natural and non-model systems. Here, we summarize research presented at the first annual symposium of the UNVEIL Network, an NSF-funded collaboration between the University of Montana and the University of Nebraska, Lincoln, which took place from the 1st to the 3rd of June, 2018. We discuss how this body of work advances basic evolutionary science, what it implies for our ability to predict evolutionary change, and how it might inform novel conservation strategies.
© 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  adaptation; biotechnology; conservation genetics; molecular evolution; phenotypic plasticity; population ecology

Mesh:

Year:  2019        PMID: 30830713      PMCID: PMC6525050          DOI: 10.1111/mec.15067

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  68 in total

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Authors:  Rowan D H Barrett; Hopi E Hoekstra
Journal:  Nat Rev Genet       Date:  2011-10-18       Impact factor: 53.242

2.  Local Adaptation by Alleles of Small Effect.

Authors:  Sam Yeaman
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Review 3.  Genetics and ecological speciation.

Authors:  Dolph Schluter; Gina L Conte
Journal:  Proc Natl Acad Sci U S A       Date:  2009-06-15       Impact factor: 11.205

Review 4.  Contingency and determinism in evolution: Replaying life's tape.

Authors:  Zachary D Blount; Richard E Lenski; Jonathan B Losos
Journal:  Science       Date:  2018-11-09       Impact factor: 47.728

5.  Sequencing of 50 human exomes reveals adaptation to high altitude.

Authors:  Xin Yi; Yu Liang; Emilia Huerta-Sanchez; Xin Jin; Zha Xi Ping Cuo; John E Pool; Xun Xu; Hui Jiang; Nicolas Vinckenbosch; Thorfinn Sand Korneliussen; Hancheng Zheng; Tao Liu; Weiming He; Kui Li; Ruibang Luo; Xifang Nie; Honglong Wu; Meiru Zhao; Hongzhi Cao; Jing Zou; Ying Shan; Shuzheng Li; Qi Yang; Peixiang Ni; Geng Tian; Junming Xu; Xiao Liu; Tao Jiang; Renhua Wu; Guangyu Zhou; Meifang Tang; Junjie Qin; Tong Wang; Shuijian Feng; Guohong Li; Jiangbai Luosang; Wei Wang; Fang Chen; Yading Wang; Xiaoguang Zheng; Zhuo Li; Zhuoma Bianba; Ge Yang; Xinping Wang; Shuhui Tang; Guoyi Gao; Yong Chen; Zhen Luo; Lamu Gusang; Zheng Cao; Qinghui Zhang; Weihan Ouyang; Xiaoli Ren; Huiqing Liang; Huisong Zheng; Yebo Huang; Jingxiang Li; Lars Bolund; Karsten Kristiansen; Yingrui Li; Yong Zhang; Xiuqing Zhang; Ruiqiang Li; Songgang Li; Huanming Yang; Rasmus Nielsen; Jun Wang; Jian Wang
Journal:  Science       Date:  2010-07-02       Impact factor: 47.728

Review 6.  Genomics of local adaptation with gene flow.

Authors:  Anna Tigano; Vicki L Friesen
Journal:  Mol Ecol       Date:  2016-04-06       Impact factor: 6.185

7.  Genomics in Conservation: Case Studies and Bridging the Gap between Data and Application.

Authors:  Brittany A Garner; Brian K Hand; Stephen J Amish; Louis Bernatchez; Jeffrey T Foster; Kristina M Miller; Phillip A Morin; Shawn R Narum; Stephen J O'Brien; Gretchen Roffler; William D Templin; Paul Sunnucks; Jeffrey Strait; Kenneth I Warheit; Todd R Seamons; John Wenburg; Jeffrey Olsen; Gordon Luikart
Journal:  Trends Ecol Evol       Date:  2015-12-02       Impact factor: 17.712

Review 8.  Adaptive introgression in animals: examples and comparison to new mutation and standing variation as sources of adaptive variation.

Authors:  Philip W Hedrick
Journal:  Mol Ecol       Date:  2013-08-01       Impact factor: 6.185

9.  Leveraging models of cell regulation and GWAS data in integrative network-based association studies.

Authors:  Andrea Califano; Atul J Butte; Stephen Friend; Trey Ideker; Eric Schadt
Journal:  Nat Genet       Date:  2012-07-27       Impact factor: 38.330

10.  Altitude adaptation in Tibetans caused by introgression of Denisovan-like DNA.

Authors:  Emilia Huerta-Sánchez; Xin Jin; Zhuoma Bianba; Benjamin M Peter; Nicolas Vinckenbosch; Yu Liang; Xin Yi; Mingze He; Mehmet Somel; Peixiang Ni; Bo Wang; Xiaohua Ou; Jiangbai Luosang; Zha Xi Ping Cuo; Kui Li; Guoyi Gao; Ye Yin; Wei Wang; Xiuqing Zhang; Xun Xu; Huanming Yang; Yingrui Li; Jian Wang; Jun Wang; Rasmus Nielsen
Journal:  Nature       Date:  2014-07-02       Impact factor: 49.962

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  3 in total

1.  Physiological and genomic evidence that selection on the transcription factor Epas1 has altered cardiovascular function in high-altitude deer mice.

Authors:  Rena M Schweizer; Jonathan P Velotta; Catherine M Ivy; Matthew R Jones; Sarah M Muir; Gideon S Bradburd; Jay F Storz; Graham R Scott; Zachary A Cheviron
Journal:  PLoS Genet       Date:  2019-11-07       Impact factor: 5.917

2.  A Few Stickleback Suffice for the Transport of Alleles to New Lakes.

Authors:  Jared Galloway; William A Cresko; Peter Ralph
Journal:  G3 (Bethesda)       Date:  2020-02-06       Impact factor: 3.154

3.  Temperature, rainfall and wind variables underlie environmental adaptation in natural populations of Drosophila melanogaster.

Authors:  María Bogaerts-Márquez; Sara Guirao-Rico; Mathieu Gautier; Josefa González
Journal:  Mol Ecol       Date:  2021-01-26       Impact factor: 6.185

  3 in total

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