A Drive to Driven Model of Mapping Intraspecific Interaction Networks

Libo Jiang; Jian Xu; Mengmeng Sang; Yan Zhang; Meixia Ye; Hanyuan Zhang; Biyin Wu; Youxiu Zhu; Peng Xu; Ruyu Tai; Zixia Zhao; Yanliang Jiang; Chuanju Dong; Lidan Sun; Christopher H Griffin; Claudia Gragnoli; Rongling Wu

doi:10.1016/j.isci.2019.11.002

A Drive to Driven Model of Mapping Intraspecific Interaction Networks

iScience. 2019 Dec 20:22:109-122. doi: 10.1016/j.isci.2019.11.002. Epub 2019 Nov 6.

Authors

Libo Jiang¹, Jian Xu², Mengmeng Sang¹, Yan Zhang², Meixia Ye¹, Hanyuan Zhang², Biyin Wu², Youxiu Zhu², Peng Xu³, Ruyu Tai², Zixia Zhao², Yanliang Jiang², Chuanju Dong⁴, Lidan Sun¹, Christopher H Griffin⁵, Claudia Gragnoli⁶, Rongling Wu⁷

Affiliations

¹ Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
² Key Laboratory of Aquatic Genomics, Ministry of Agriculture, CAFS Key Laboratory of Aquatic Genomics and Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing 100141, China.
³ Key Laboratory of Aquatic Genomics, Ministry of Agriculture, CAFS Key Laboratory of Aquatic Genomics and Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing 100141, China; Fujian Collaborative Innovation Center for Exploitation and Utilization of Marine Biological Resources, Xiamen University, Xiamen, Fujian 361102, China.
⁴ Key Laboratory of Aquatic Genomics, Ministry of Agriculture, CAFS Key Laboratory of Aquatic Genomics and Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing 100141, China; College of Fishery, Henan Normal University, Xinxiang, Henan 453007, China.
⁵ Applied Research Laboratory, The Pennsylvania State University, University Park, PA 16802, USA.
⁶ Division of Endocrinology, Diabetes, and Metabolic Disease, Translational Medicine, Department of Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19106, USA; Molecular Biology Laboratory, Bios Biotech Multi Diagnostic Health Center, Rome 00197, Italy.
⁷ Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China; Center for Statistical Genetics, The Pennsylvania State University, Hershey, PA 17033, USA. Electronic address: rwu@bjfu.edu.cn.

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.

Keywords: Biological Sciences; Evolutionary Ecology; Mathematical Biosciences.

Grants and funding

R01 HD086911/HD/NICHD NIH HHS/United States