Abstract
Host genetics has recently been shown to be a driver of plant microbiome composition. However, identifying the underlying genetic loci controlling microbial selection remains challenging. Genome-wide association studies (GWAS) represent a potentially powerful, unbiased method to identify microbes sensitive to the host genotype and to connect them with the genetic loci that influence their colonization. Here, we conducted a population-level microbiome analysis of the rhizospheres of 200 sorghum genotypes. Using 16S rRNA amplicon sequencing, we identify rhizosphere-associated bacteria exhibiting heritable associations with plant genotype, and identify significant overlap between these lineages and heritable taxa recently identified in maize. Furthermore, we demonstrate that GWAS can identify host loci that correlate with the abundance of specific subsets of the rhizosphere microbiome. Finally, we demonstrate that these results can be used to predict rhizosphere microbiome structure for an independent panel of sorghum genotypes based solely on knowledge of host genotypic information.
Abstract from the paper’s OpenAlex record; open copy licensed cc-by. Read at the source ↗
The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.
Claims 4
Claim · model-written summary
Some rhizosphere-associated bacteria in sorghum show heritable associations with plant genotype.
- Interactor
- rhizosphere-associated bacteriae2symbiont
- Outcome
- heritable associations with plant genotypee2
SorghumOrganisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“Here, we conducted a population-level microbiome analysis of the rhizospheres of 200 sorghum genotypes”
e2“we identify rhizosphere-associated bacteria exhibiting heritable associations with plant genotype”
Claim · model-written summary
Rhizosphere bacteria heritable in sorghum overlap significantly with heritable taxa identified in maize.
- Outcome
- overlap between these lineages and heritable taxae6
- Qualifier
- heritable taxa recently identified in maizee6
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“Here, we conducted a population-level microbiome analysis of the rhizospheres of 200 sorghum genotypes”
e6“identify significant overlap between these lineages and heritable taxa recently identified in maize”
Claim · model-written summary
GWAS identifies sorghum host loci that correlate with the abundance of specific rhizosphere microbiome subsets.
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“Here, we conducted a population-level microbiome analysis of the rhizospheres of 200 sorghum genotypes”
e3“GWAS can identify host loci that correlate with the abundance of specific subsets of the rhizosphere microbiome”
Claim · model-written summary
Host genotype information predicts rhizosphere microbiome structure for an independent panel of sorghum genotypes.
- Material
- independent panel of sorghum genotypese4
- Outcome
- rhizosphere microbiome structuree4
- Qualifier
- based solely on knowledge of host genotypic informatione4
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“Here, we conducted a population-level microbiome analysis of the rhizospheres of 200 sorghum genotypes”
e4“these results can be used to predict rhizosphere microbiome structure for an independent panel of sorghum genotypes based solely on knowledge of host genotypic information”