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, Wu Rongling
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.
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.
iScience. 2019 Dec 20;22:109-122. doi: 10.1016/j.isci.2019.11.002. Epub 2019 Nov 6.
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.
群落生态学理论表明，个体的表型在一定程度上由与其共存的其他成员的表型决定，这一过程能够塑造群落进化。在此，我们提出一种映射理论来识别控制个体间依赖性的相互作用数量性状位点（QTL）。我们从数学角度阐述了相互作用个体的决策策略。我们将这些数学描述符整合到一个统计程序中，从而能够联合表征QTL如何驱动生态相互作用的强度，以及QTL的遗传结构如何由生态网络驱动。在三项鱼类全同胞图谱实验中，我们识别出一组全基因组QTL，它们控制一系列社会行为，包括互利共生、利他主义、攻击行为和对抗行为，并发现这些种内相互作用使体重的遗传变异增加了约50%。我们展示了如何将相互作用QTL用作编辑器，为生态群落重建和设计新的社会网络。
