A Holling Functional Response Model for Mapping QTLs Governing Interspecific Interactions

Xiao Yu Zhang, Huiying Gong, Qing Fang, Xuli Zhu, Libo Jiang, Rongling Wu

Research output: Contribution to journalArticlepeer-review


Genes play an important role in community ecology and evolution, but how to identify the genes that affect community dynamics at the whole genome level is very challenging. Here, we develop a Holling type II functional response model for mapping quantitative trait loci (QTLs) that govern interspecific interactions. The model, integrated with generalized Lotka-Volterra differential dynamic equations, shows a better capacity to reveal the dynamic complexity of inter-species interactions than classic competition models. By applying the new model to a published mapping data from a competition experiment of two microbial species, we identify a set of previously uncharacterized QTLs that are specifically responsible for microbial cooperation and competition. The model can not only characterize how these QTLs affect microbial interactions, but also address how change in ecological interactions activates the genetic effects of the QTLs. This model provides a quantitative means of predicting the genetic architecture that shapes the dynamic behavior of ecological communities.

Original languageEnglish (US)
Article number766372
JournalFrontiers in Genetics
StatePublished - Oct 15 2021

All Science Journal Classification (ASJC) codes

  • Molecular Medicine
  • Genetics
  • Genetics(clinical)


Dive into the research topics of 'A Holling Functional Response Model for Mapping QTLs Governing Interspecific Interactions'. Together they form a unique fingerprint.

Cite this