文献类型： 外文期刊
作者： Jiang, Libo 1 ; Xu, Jian 2 ; Sang, Mengmeng 1 ; Zhang, Yan 2 ; Ye, Meixia 1 ; Zhang, Hanyuan 2 ; Wu, Biyin 2 ; Zhu, Youxi 1 ;
作者机构： 1.Beijing Forestry Univ, Coll Biol Sci & Technol, Beijing Adv Innovat Ctr Tree Breeding Mol Design, Ctr Computat Biol, Beijing 100083, Peoples R China
2.Chinese Acad Fishery Sci, Key Lab Aquat Genom, CAFS Key Lab Aquat Genom, Minist Agr, Beijing 100141, Peoples R China
3.Chinese Acad Fishery Sci, Beijing Key Lab Fishery Biotechnol, Beijing 100141, Peoples R China
4.Xiamen Univ, Fujian Collaborat Innovat Ctr Exploitat & Utiliza, Xiamen 361102, Fujian, Peoples R China
5.Henan Normal Univ, Coll Fishery, Xinxiang 453007, Henan, Peoples R China
6.Penn State Univ, Appl Res Lab, University Pk, PA 16802 USA
7.Thomas Jefferson Univ, Sidney Kimmel Med Coll, Dept Med, Div Endocrinol Diabet & Metab Dis,Translat Med, Philadelphia, PA 19106 USA
8.Bios Biotech Multi Diagnost Hlth Ctr, Mol Biol Lab, I-00197 Rome, Italy
9.Penn State Univ, Ctr Stat Genet, Hershey, PA 17033 USA
期刊名称：ISCIENCE （ 影响因子：5.458； 五年影响因子：5.458 ）
ISSN：
年卷期： 2019 年 22 卷
页码：
收录情况： SCI
摘要： Community ecology theory suggests that an individual's phenotype is determined by the phenotypes of its coexisting members to the extent at which this process can shape community evolution. Here, we develop a mapping theory to identify interaction quantitative trait loci (QTL) governing inter-individual dependence. We mathematically formulate the decision-making strategy of interacting individuals. We integrate these mathematical descriptors into a statistical procedure, enabling the joint characterization of how QTL drive the strengths of ecological interactions and how the genetic architecture of QTL is driven by ecological networks. In three fish full-sib mapping experiments, we identify a set of genome-wide QTL that control a range of societal behaviors, including mutualism, altruism, aggression, and antagonism, and find that these intraspecific interactions increase the genetic variation of body mass by about 50%. We showcase how the interaction QTL can be used as editors to reconstruct and engineer new social networks for ecological communities.
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