Document Type
Article
Publication Date
12-20-2019
Abstract
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.
Recommended Citation
Jiang, Libo; Xu, Jian; Sang, Mengmeng; Zhang, Yan; Ye, Meixia; Zhang, Hanyuan; Wu, Biyin; Zhu, Youxiu; Xu, Peng; Tai, Ruyu; Zhao, Zixia; Jiang, Yanliang; Dong, Chuanju; Sun, Lidan; Griffin, Christopher H.; Gragnoli, Claudia; and Wu, Rongling, "A Drive to Driven Model of Mapping Intraspecific Interaction Networks." (2019). Division of Endocrinology, Diabetes and Metabolic Diseases Faculty Papers. Paper 2.
https://jdc.jefferson.edu/endocrinologyfp/2
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
PubMed ID
31765992
Language
English
Comments
This article is the author’s final published version in iScience, Volume 22, December 2019, Pages 109-122.
The published version is available at https://doi.org/10.1016/j.isci.2019.11.002. Copyright © Jiang et al.