Relatively rare root endophytic bacteria drive plant resource allocation patterns and tissue nutrient concentration in unpredictable ways
Abstract
Plant endophytic bacterial strains can influence plant traits such as leaf area and root length. Yet, the influence of more complex bacterial communities in regulating overall plant phenotype is less explored. Here, in two complementary experiments, we tested whether we can predict plant phenotype response to changes in microbial community composition. In the first study, we inoculated a single genotype of Populus deltoides with individual root endophytic bacteria and measured plant phenotype. Next, data from this single inoculation were used to predict phenotypic traits after mixed three-strain community inoculations, which we tested in the second experiment. By itself, each bacterial endophyte significantly but weakly altered plant phenotype relative to noninoculated plants. In a mixture, bacterial strain Burkholderia BT03, constituted at least 98% of community relative abundance. Yet, plant resource allocation and tissue nutrient concentrations were disproportionately influenced by Pseudomonas sp. GM17, GM30, and GM41. We found a 10% increase in leaf mass fraction and an 11% decrease in root mass fraction when replacing Pseudomonas GM17 with GM41 in communities containing both Pseudomonas GM30 and Burkholderia BT03. Our results indicate that interactions among endophytic bacteria may drive plant phenotype over the contribution of each strain individually. Additionally, we have shown thatmore »
- Authors:
-
[1];
- Univ. of Tennessee, Knoxville, TN (United States); Univ. of Minnesota, Minneapolis, MN (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Johns Hopkins Univ., Baltimore, MD (United States)
- Univ. of Tennessee, Knoxville, TN (United States); Univ. of Vermont, Burlington, VT (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1606051
- Alternate Identifier(s):
- OSTI ID: 1572124
- Grant/Contract Number:
- AC05-00OR22725; AC05‐00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- American Journal of Botany
- Additional Journal Information:
- Journal Volume: 106; Journal Issue: 11; Journal ID: ISSN 0002-9122
- Publisher:
- Wiley - Botanical Society of America
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; allocation; bacterial endophytes; Burkholderia; constructed communities; mass–ratio hypothesis; Populus deltoides; Pseudomonas plant traits; Salicaceae
Citation Formats
Henning, Jeremiah A., Weston, David J., Pelletier, Dale A., Timm, Collin M., Jawdy, Sara S., and Classen, Aimée T. Relatively rare root endophytic bacteria drive plant resource allocation patterns and tissue nutrient concentration in unpredictable ways. United States: N. p., 2019.
Web. doi:10.1002/ajb2.1373.
Henning, Jeremiah A., Weston, David J., Pelletier, Dale A., Timm, Collin M., Jawdy, Sara S., & Classen, Aimée T. Relatively rare root endophytic bacteria drive plant resource allocation patterns and tissue nutrient concentration in unpredictable ways. United States. https://doi.org/10.1002/ajb2.1373
Henning, Jeremiah A., Weston, David J., Pelletier, Dale A., Timm, Collin M., Jawdy, Sara S., and Classen, Aimée T. Mon .
"Relatively rare root endophytic bacteria drive plant resource allocation patterns and tissue nutrient concentration in unpredictable ways". United States. https://doi.org/10.1002/ajb2.1373. https://www.osti.gov/servlets/purl/1606051.
@article{osti_1606051,
title = {Relatively rare root endophytic bacteria drive plant resource allocation patterns and tissue nutrient concentration in unpredictable ways},
author = {Henning, Jeremiah A. and Weston, David J. and Pelletier, Dale A. and Timm, Collin M. and Jawdy, Sara S. and Classen, Aimée T.},
abstractNote = {Plant endophytic bacterial strains can influence plant traits such as leaf area and root length. Yet, the influence of more complex bacterial communities in regulating overall plant phenotype is less explored. Here, in two complementary experiments, we tested whether we can predict plant phenotype response to changes in microbial community composition. In the first study, we inoculated a single genotype of Populus deltoides with individual root endophytic bacteria and measured plant phenotype. Next, data from this single inoculation were used to predict phenotypic traits after mixed three-strain community inoculations, which we tested in the second experiment. By itself, each bacterial endophyte significantly but weakly altered plant phenotype relative to noninoculated plants. In a mixture, bacterial strain Burkholderia BT03, constituted at least 98% of community relative abundance. Yet, plant resource allocation and tissue nutrient concentrations were disproportionately influenced by Pseudomonas sp. GM17, GM30, and GM41. We found a 10% increase in leaf mass fraction and an 11% decrease in root mass fraction when replacing Pseudomonas GM17 with GM41 in communities containing both Pseudomonas GM30 and Burkholderia BT03. Our results indicate that interactions among endophytic bacteria may drive plant phenotype over the contribution of each strain individually. Additionally, we have shown that low-abundance strains contribute to plant phenotype challenging the assumption that the dominant strains will drive plant function.},
doi = {10.1002/ajb2.1373},
journal = {American Journal of Botany},
number = 11,
volume = 106,
place = {United States},
year = {Mon Oct 28 00:00:00 EDT 2019},
month = {Mon Oct 28 00:00:00 EDT 2019}
}
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Figures / Tables:
Table 1: Bacterial community relative abundances measured by qPCR Mean and (standard errors) for each bacterial strain in each treatment. Treatment = microbial community composition, 17 = Pseudomonas GM17, 30 = Pseudomonas GM30, 41 = Pseudomonas GM41, Bt = Burkholderia BT03.
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Data for: Relatively rare root endophytic bacteria drive plant resource allocation patterns and tissue nutrient concentration in unpredictable ways
dataset, January 2019
- Henning, Jeremiah
- Dryad
Data for: Relatively rare root endophytic bacteria drive plant resource allocation patterns and tissue nutrient concentration in unpredictable ways
dataset, January 2019
- Henning, Jeremiah
- Dryad
Works referencing / citing this record:
Data for: Relatively rare root endophytic bacteria drive plant resource allocation patterns and tissue nutrient concentration in unpredictable ways
dataset, January 2019
- Henning, Jeremiah
- Dryad
Data for: Relatively rare root endophytic bacteria drive plant resource allocation patterns and tissue nutrient concentration in unpredictable ways
dataset, January 2019
- Henning, Jeremiah
- Dryad
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