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Bacillales Members from the Olive Rhizosphere Are Effective Biological Control Agents against the Defoliating Pathotype of Verticillium dahliae

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  • Carmen Gómez-Lama Cabanás

    (Department of Crop Protection, Institute for Sustainable Agriculture (CSIC), Avenida Menéndez Pidal s/n Campus ‘Alameda del Obispo’, 14004 Córdoba, Spain)

  • David Ruano-Rosa

    (Unit of Woody and Horticultural Crops, Agrarian Technological Institute of Castilla y León, Ctra. Burgos Km 119, Finca Zamadueña, 47071 Valladolid, Spain)

  • Garikoitz Legarda

    (Bioinformatics Department, Sistemas Genómicos S.L., 46980 Paterna, Spain)

  • Paloma Pizarro-Tobías

    (Bio-Ilíberis Research and Development SL, Polígono Industrial Juncaril, C/Capileira 7, 18210 Peligros (Granada), Spain)

  • Antonio Valverde-Corredor

    (Department of Crop Protection, Institute for Sustainable Agriculture (CSIC), Avenida Menéndez Pidal s/n Campus ‘Alameda del Obispo’, 14004 Córdoba, Spain)

  • Juan Carlos Triviño

    (Bioinformatics Department, Sistemas Genómicos S.L., 46980 Paterna, Spain)

  • Amalia Roca

    (Bio-Ilíberis Research and Development SL, Polígono Industrial Juncaril, C/Capileira 7, 18210 Peligros (Granada), Spain)

  • Jesús Mercado-Blanco

    (Department of Crop Protection, Institute for Sustainable Agriculture (CSIC), Avenida Menéndez Pidal s/n Campus ‘Alameda del Obispo’, 14004 Córdoba, Spain)

Abstract

The use of biological control agents (BCAs) is of interest within an integrated management strategy of Verticillium wilt of olive (VWO) caused by the soil-borne fungus Verticillium dahliae Kleb. Previous studies have shown that the root/rhizosphere of healthy olive plants is an important reservoir of microorganisms displaying biocontrol activity against VWO (i.e., Pseudomonas strains PICF7 and PIC141). Moreover, these BCAs are already adapted to the ecological niche where they are deployed. Three novel bacteria (strains PIC28, PIC73 and PIC167) from nursery-produced olive plants were in-depth characterized using a previously implemented approach consisting of in situ isolation, in vitro antagonism tests, in planta bioassays, phenotypic and metabolic characterization, genome analyses and in silico identification of traits involved in plant-bacteria interactions, and multi-locus sequence analyses. All strains displayed in vitro growth inhibition of different olive pathogens and biocontrol effectiveness against Verticillium dahliae , with strain PIC73 being the most effective BCA. Strains PIC73 and PIC167 were identified as Paenibacillus polymyxa (Prazmowski) Ash et al. and Paenibacillus terrae Yoon et al . , respectively. Strain PIC28 belongs to the Bacillus genus. Some of these Bacillales members showed in vitro compatibility with previously characterized BCAs ( Pseudomonas spp. strains) also originating from the olive rhizosphere, paving the way for the future development of tailored bacterial consortia effective against VWO.

Suggested Citation

  • Carmen Gómez-Lama Cabanás & David Ruano-Rosa & Garikoitz Legarda & Paloma Pizarro-Tobías & Antonio Valverde-Corredor & Juan Carlos Triviño & Amalia Roca & Jesús Mercado-Blanco, 2018. "Bacillales Members from the Olive Rhizosphere Are Effective Biological Control Agents against the Defoliating Pathotype of Verticillium dahliae," Agriculture, MDPI, vol. 8(7), pages 1-23, June.
  • Handle: RePEc:gam:jagris:v:8:y:2018:i:7:p:90-:d:154022
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    References listed on IDEAS

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    1. Pedro Manuel Martínez-García & Cayo Ramos & Pablo Rodríguez-Palenzuela, 2015. "T346Hunter: A Novel Web-Based Tool for the Prediction of Type III, Type IV and Type VI Secretion Systems in Bacterial Genomes," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-11, April.
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    Cited by:

    1. José Ignacio Rojas-Sola & Eduardo De la Morena-De la Fuente, 2020. "The Conical Stones Olive Oil Mill: Analysis through Computer-Aided Engineering," Agriculture, MDPI, vol. 10(7), pages 1-24, July.
    2. José Ignacio Rojas-Sola & Eduardo De la Morena-De la Fuente & Manuel Jesús Hermoso-Orzáez & David Hernández-Díaz, 2020. "The Tower Press for Obtaining Olive Oil: Analysis through Computer-Aided Engineering," Agriculture, MDPI, vol. 10(11), pages 1-25, November.

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