Evaluation of qPCR to Detect Shifts in Population Composition of the Rhizobial Symbiont Mesorhizobium japonicum during Serial in Planta Transfers

Authors

Kenjiro W. Quides, Chapman UniversityFollow
Yoobeen Lee, Chapman UniversityFollow
Teresa Hur, Chapman UniversityFollow
Hagop S. Atamian, Chapman UniversityFollow

Document Type

Article

Publication Date

2-9-2023

Abstract

Microbial symbionts range from mutualistic to commensal to antagonistic. While these roles are distinct in their outcome, they are also fluid in a changing environment. Here, we used the Lotus japonicus–Mesorhizobium japonicum symbiosis to investigate short-term and long-term shifts in population abundance using an effective, fast, and low-cost tracking methodology for M. japonicum. We use quantitative polymerase chain reaction (qPCR) to track previously generated signature-tagged M. japonicum mutants targeting the Tn5 transposon insertion and the flanking gene. We used a highly beneficial wild type and moderately beneficial and non-beneficial mutants of M. japonicum sp. nov. to demonstrate the specificity of these primers to estimate the relative abundance of each genotype within individual nodules and after serial transfers to new hosts. For the moderate and non-beneficial genotypes, qPCR allowed us to differentiate genotypes that are phenotypically indistinguishable and investigate host control with suboptimal symbionts. We consistently found the wild type increasing in the proportion of the population, but our data suggest a potential reproductive trade-off between the moderate and non-beneficial genotypes. The multi-generation framework we used, coupled with qPCR, can easily be scaled up to track dozens of M. japonicum mutants simultaneously. Moreover, these mutants can be used to explore M. japonicum genotype abundance in the presence of a complex soil community.

Comments

This article was originally published in Biology, volume 12, issue 2, in 2023. https://doi.org/10.3390/biology12020277

Recommended Citation

Quides, K.W.; Lee, Y.; Hur, T.; Atamian, H.S. Evaluation of qPCR to Detect Shifts in Population Composition of the Rhizobial Symbiont Mesorhizobium japonicum during Serial in Planta Transfers. Biology 2023, 12, 277. https://doi.org/10.3390/biology12020277

Copyright

The authors

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.