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Unraveling the functional genes present in rhizosphere microbiomes of Solanum lycopersicum

  • Afeez Adesina Adedayo
  • , Ayomide Emmanuel Fadiji
  • , Olubukola Oluranti Babalola
  • North West University

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

The microbiomes living in the rhizosphere soil of the tomato plant contribute immensely to the state of health of the tomato plant alongside improving sustainable agriculture. With the aid of shotgun metagenomics sequencing, we characterized the putative functional genes (plant-growth-promoting and disease-resistant genes) produced by the microbial communities dwelling in the rhizosphere soil of healthy and powdery mildew-diseased tomato plants. The results identified twenty-one (21) plant growth promotion (PGP) genes in the microbiomes inhabiting the healthy rhizosphere (HR) which are more predomiant as compared to diseased rhizosphere (DR) that has nine (9) genes and four (4) genes in bulk soil (BR). Likewise, we identified some disease-resistant genes which include nucleotide binding genes and antimicrobial genes. Our study revealed fifteen (15) genes in HR which made it greater in comparison to DR that has three (3) genes and three (3) genes in bulk soil. Further studies should be conducted by isolating these microorganisms and introduce them to field experiments for cultivation of tomatoes.
Original languageEnglish
Article numbere15432
JournalPeerJ
Volume11
DOIs
Publication statusPublished - 2 Jun 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
Copyright 2023 Adedayo et al.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  3. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Disease-resistant genes
  • PGP genes
  • Phytohormones
  • Plant rhizobiomes
  • Shotgun metagenomics
  • Tomato

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