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Tomato RNA-seq Data Mining Reveals the Taxonomic and Functional Diversity of Root-Associated Microbiota

Articolo
Data di Pubblicazione:
2019
Abstract:
Next-generation approaches have enabled researchers to deeply study the plant microbiota and to reveal how microbiota associated with plant roots has key effects on plant nutrition, disease resistance, and plant development. Although early "omics" experiments focused mainly on the species composition of microbial communities, new "meta-omics" approaches such as meta-transcriptomics provide hints about the functions of the microbes when interacting with their plant host. Here, we used an RNA-seq dataset previously generated for tomato (Solanumlycopersicum) plants growing on different native soils to test the hypothesis that host-targeted transcriptomics can detect the taxonomic and functional diversity of root microbiota. Even though the sequencing throughput for the microbial populations was limited, we were able to reconstruct the microbial communities and obtain an overview of their functional diversity. Comparisons of the host transcriptome and the meta-transcriptome suggested that the composition and the metabolic activities of the microbiota shape plant responses at the molecular level. Despite the limitations, mining available next-generation sequencing datasets can provide unexpected results and potential benefits for microbiota research.
Tipologia CRIS:
03A-Articolo su Rivista
Keywords:
RNA-seq; fungi; holobiont; meta-transcriptome; microbiota; tomato
Elenco autori:
Chialva, Matteo; Ghignone, Stefano; Novero, Mara; Hozzein, Wael N; Lanfranco, Luisa; Bonfante, Paola
Autori di Ateneo:
CHIALVA Matteo
LANFRANCO Luisa
NOVERO Mara
Link alla scheda completa:
https://iris.unito.it/handle/2318/1720787
Link al Full Text:
https://iris.unito.it/retrieve/handle/2318/1720787/557325/Chialva%20et%20al.,%202020_tomato_meta-transcriptome.pdf
Pubblicato in:
MICROORGANISMS
Journal
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URL

https://www.mdpi.com/2076-2607/8/1/38
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