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Disease Resistance correlates with Core Microbiome Diversity in Cotton
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Abstract
Understanding the resident microbial communities and their above and below ground interactions with plants will provide necessary information for crop disease protection and stress management. In this study, we show how diversity of core microbiome varies with disease susceptibility of a crop. To test this hypothesis, we have focused on identifying the core microbial species of Cotton Leaf Curl Disease (CLCuD) susceptible
Gossypium hirsutum
and CLCuD resistant
Gossypium arboreum
under viral infestation. Derivation of core membership is challenging as it depends on an occupancy threshold of microbial species in a sampling pool, whilst accounting for different plant compartments. We have used an abundance-occupancy distribution approach where we dynamically assess the threshold for core membership, whilst marginalizing for occupancy in four compartments of the cotton plant, namely, leaf epiphyte, leaf endophyte, rhizosphere, and root endophyte. Additionally, we also fit a neutral model to the returned core species to split them into three groups, those that are neutral, those that are selected by the plant environment, and finally those that are dispersal limited. We have found strong inverse relationship between diversity of core microbiome and disease susceptibility. A deeper understanding of this association will aid in the development of biocontrol agents for improving plant immunity against biotrophic pathogens.
Title: Disease Resistance correlates with Core Microbiome Diversity in Cotton
Description:
Abstract
Understanding the resident microbial communities and their above and below ground interactions with plants will provide necessary information for crop disease protection and stress management.
In this study, we show how diversity of core microbiome varies with disease susceptibility of a crop.
To test this hypothesis, we have focused on identifying the core microbial species of Cotton Leaf Curl Disease (CLCuD) susceptible
Gossypium hirsutum
and CLCuD resistant
Gossypium arboreum
under viral infestation.
Derivation of core membership is challenging as it depends on an occupancy threshold of microbial species in a sampling pool, whilst accounting for different plant compartments.
We have used an abundance-occupancy distribution approach where we dynamically assess the threshold for core membership, whilst marginalizing for occupancy in four compartments of the cotton plant, namely, leaf epiphyte, leaf endophyte, rhizosphere, and root endophyte.
Additionally, we also fit a neutral model to the returned core species to split them into three groups, those that are neutral, those that are selected by the plant environment, and finally those that are dispersal limited.
We have found strong inverse relationship between diversity of core microbiome and disease susceptibility.
A deeper understanding of this association will aid in the development of biocontrol agents for improving plant immunity against biotrophic pathogens.
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