微生物群
生物
选择(遗传算法)
进化生物学
自然选择
计算生物学
生态学
遗传学
计算机科学
人工智能
作者
Ulrich G. Mueller,Timothy A. Linksvayer
标识
DOI:10.1016/j.tim.2022.04.003
摘要
Microbiome breeding is a new artificial selection technique that seeks to change the genetic composition of microbiomes in order to benefit plant or animal hosts. Recent experimental and theoretical analyses have shown that microbiome breeding is possible whenever microbiome-encoded genetic factors affect host traits (e.g., health) and microbiomes are transmissible between hosts with sufficient fidelity, such as during natural microbiome transmission between individuals of social animals, or during experimental microbiome transplanting between plants. To address misunderstandings that stymie microbiome-breeding programs, we (i) clarify and visualize the corresponding elements of microbiome selection and standard selection; (ii) elucidate the eco-evolutionary processes underlying microbiome selection within a quantitative genetic framework to summarize practical guidelines that optimize microbiome breeding; and (iii) characterize the kinds of host species most amenable to microbiome breeding.
科研通智能强力驱动
Strongly Powered by AbleSci AI