Date of Award
Fall 2025
Project Type
Thesis
Program or Major
Biological Sciences
Degree Name
Master of Science
First Advisor
Anna O'Brien
Second Advisor
Victoria Jeffers
Third Advisor
Matthew MacManes
Abstract
Microbial inoculants present a potential alternative to artificial fertilizers and other chemical products in agriculture, yet microbial products derived from non-native microbes may pose ecological risks or fail to thrive. On the other hand, creating microbial inoculants from local microbes via “microbiome breeding” can be unpredictable. Here, the aquatic plant Lemna minor (duckweed), microbes isolated from duckweed, and microbes isolated from other, co-occurring aquatic plants was used to evaluate if the evolutionary distance between hosts from which microbes are sourced is a predictor of the success in “breeding” locally derived microbiomes to promote duckweed growth. “Microbiome breeding” was performed on communities built from 25%, 50%, or 100% duckweed-associated microbes, paired with 75%, 50%, or 0% microbes from another, locally co-occurring host, where the phylogenetic distance of this other host to duckweed varied across 6 levels.
While the derived communities did not have on average significantly different effects on growth from the ancestral communities, high variation between treatments and replicates demonstrated the unpredictability of microbiome breeding. However, a non-linear relationship between host phylogeny and the relative growth rate of the derived communities was observed, such that starting communities including microbes from very close or very distantly related hosts improved breeding effectiveness. 16s rRNA sequencing on the initial and end communities shows a loss of diversity and convergence of microbiomes that initially differed over the course of the experiment.
Recommended Citation
Lazu, Ciana, "Host Evolutionary History as a Predictor of Microbiome Breeding Success" (2025). Master's Theses and Capstones. 1977.
https://scholars.unh.edu/thesis/1977