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Nutritional niche overlap analysis as a method to identify potential biocontrol fungi against trunk pathogens

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Abstract

Biological control agents possess various mechanisms to limit pathogens including ability to outcompete pathogens for resources and occupy shared niches. However, measuring this competition between putative biocontrol agents and pathogens for the same resources remains difficult. To evaluate carbon and nitrogen source utilization as a measure of competitiveness, we used phenotype microarrays on three endophytes (Trichoderma atroviridae, Trichoderma harzianum and Lecanicillium lecanii) with reported biological control activity and five stem-infecting fungal pathogens (Diplodia seriata, Eutypa lata, Neofusicoccum parvum, Phaeomoniella chlamydospora, and Phaeoacremonium minimum) that infect grapevine and other important woody plant hosts. The faster growing N. parvum and D. seriata utilized a greater number of the 190 assessed carbon and 380 assessed nitrogen sources than the relatively slower growing pathogens E. lata, P. chlamydospora, and P. minimum. All three endophytes had a greater niche overlap of carbon and nitrogen resource use than E. lata and P. chlamydospora. However, only T. harzianum and L. lecanii were determined to be able to equally compete or slightly outcompete N. parvum and D. seriata over carbon or nitrogen sources. Therefore, based on these results involving carbon and nitrogen source niche utilization, T. harzianum and L. lecanii would be advanced to additional biological control agent screening. Furthermore, according to plate bioassays, both Trichoderma spp. exhibited significant growth reduction of all pathogens except P. minimum, and L. lecanii significant reduced growth of D. seriata, E. lata, and N. parvum. Therefore, a combination of direct antagonism and ability to outcompete over resources is important in selecting biocontrols. Regardless, these results demonstrated the capacity of phenotype microarrays to assess the ability of endophytes to outcompete pathogens over shared resources in in vitro conditions as a complement to traditional plate assays.

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Data availability

Datasets used in the generation of this publication will be available at the U.S. Department of Agriculture Ag Data Commons, https://data.nal.usda.gov/search/type/dataset.

Code availability

Not applicable.

References

  • Ahlholm J, Helander M, Elamo P, Saloniemi I, Neuvonen S, Hanhimaki S, Saikkonen K (2002) Micro-fungi and invertebrate herbivores on birch trees: fungal mediated plant-herbivore interactions or responses to host quality? Ecol Lett 5:648–655

    Article  Google Scholar 

  • Albrectsen BR, Bjorken L, Varad A, Hagner A, Wedin M, Karlsson J, Jansson S (2010) Endophytic fungi in European aspen (Populus tremula) leaves—diversity, detection, and a suggested correlation with herbivory resistance. Fungal Divers 41:17–28

    Article  Google Scholar 

  • Barratt BIP, Moran VC, Bigler F, van Lenteren JC (2018) The status of biological control and recommendations for improving uptake for the future. BioControl 63:155–167

    Article  Google Scholar 

  • Baumgartner K, Hillis V, Lubell M, Norton M, Kaplan J (2019) Managing grapevine trunk diseases in California’s Southern San Joaquin Valley. Am J Enol Vitic 70:267–276

    Article  CAS  Google Scholar 

  • Benitez T, Rincon AM, Limon MC, Codon AC (2004) Biocontrol mechanisms of Trichoderma strains. Int Microbiol 7:249–260

    CAS  PubMed  Google Scholar 

  • Berbegal M, Ramon-Albalat A, Leon M, Armengol J (2020) Evaluation of long-term protection from nusery to vineyard provided by Trichoderma atriviridae SC1 against fungal grapevine trunk pathogens. Pest Manag Sci 76:967–977

    Article  CAS  Google Scholar 

  • Blumenstein K, Albrectsen BR, Martin JA, Hultberg M, Sieber TN, Helander M, Witzell J (2015a) Nutritional niche overlap potentiates the use of endophytes in biocontrol of a tree disease. BioControl 60:655–667

    Article  Google Scholar 

  • Blumenstein K, Macaya-Sanz D, Martin JA, Albrectsen BR, Witzell J (2015b) Phenotype Microarrays as a complementary tool to next generation sequencing for characterization of tree endophytes. Front Microbiol 6:1033

    Article  Google Scholar 

  • Cao Y, Pi H, Chandrangsu P, Li Y, Wang Y, Zhou H, Xiong H, Helmann JD, Cai Y (2018) Antagonism of two plant-growth promoting Bacillus velezensis isolates against Ralstonia solanacearum and Fusarium oxysporum. Sci Rep 8:4360

    Article  Google Scholar 

  • Christen D, Tharin M, Perrin-Cherioux S, Abou-Mansour E, Tabacchi R, Defago G (2005) Transfromation of Eutypa dieback and esca disease pathogens toxins by antagonisitc fungal strains reveals a second detoxification pathway not present in Vitis vinifera. J Ag Food Chem 53:7043–7051

    Article  CAS  Google Scholar 

  • Druzhinina IS, Seidl-Seiboth V, Herrera-Estrella A, Horwitz BA, Kenerley CM, Monte E, Mukherjee PK, Zeilinger S, Grigoriev IV, Kubicek CP (2011) Trichoderma: the genomics of opportunistic success. Nat Rev Microbiol 9:749–759

    Article  CAS  Google Scholar 

  • Elad Y, Kapat A (1999) The role of Trichoderma harzianum protease in the biocontrol of Botrytis cinerea. Eur J Plant Pathol 105:177–189

    Article  CAS  Google Scholar 

  • Garland JL, Mills AL (1991) Classification and characterization of heterotrophic microbial communities on the basis of patterns of community-level sole-carbon-source utilization. Appl Environ Microb 57:2351–2359

    Article  CAS  Google Scholar 

  • Helander ML, Sieber T, Petrini O, Neuvonen S (1994) Ecology of pine needle endophytes: spatial variation and consequences of acid irrigation. Can J Bot 72:1108–1113

    Article  Google Scholar 

  • John S, Wicks TJ, Hunt JS, Lorimer MF, Oakey H, Scott ES (2005) Protection of grapevine pruning wounds from infection by Eutypa lata using Trichderma harzianum and Fusarium lateritium. Australasian Plant Pathol 34:569–575

    Article  Google Scholar 

  • Kapat A, Zimand G, Elad Y (1998) Effect of two isolates of Trichoderma harzianum on the activity of hydrolytic enzymes produced by Botrytis cinerea. Physiol Mol Plant Pathol 52:127–137

    Article  CAS  Google Scholar 

  • Lamichhane JR, Dachbrodt-Saaydeh S, Kudsk P, Messéan A (2016) Toward a reduced reliance on conventional pesticides in European agriculture. Plant Dis 100:10–24

    Article  Google Scholar 

  • Lee HB, Magan N (1999) Environmental factors and nutritional utilization patterns affect niche overlap indices between Aspergillus ochraceus and other spoilage fungi. Lett Appl Microbiol 28:300–304

    Article  CAS  Google Scholar 

  • Massonnet M, Morales-Cruz A, Minio A, Figueroa-Balderas R, Lawrence DP, Travadon R, Rolshausen PE, Baumgartner K, Cantu D (2018) Whole-genome resequencing and pan-transcriptome reconstruction highlight the impact of genomic structural variation on secondary metabolite gene clusters in the grapevine esca pathogen Phaeoacremonium minimum. Front Microbiol 9:1784

    Article  Google Scholar 

  • Morales-Cruz A, Amrine KCH, Blanco-Ulate B, Lawrence DP, Travadon R, Rolshausen PE, Baumgartner K, Cantu D (2015) Distinctive expansion of gene families associated with plant cell wall defradation, secondary metabolism, and nutrient uptake in the genomes of grapevine trunk pathogens. BMC Genomics 16:469

    Article  Google Scholar 

  • Mukherjee M, Mukherjee PK, Horwitz BA, Zachow C, Berg G, Zeilinger S (2012) Trichoderma-plant-pathogen interactions: advances in genetics of biological control. Indian J Microbiol 52:522–529

    Article  Google Scholar 

  • Mutawila C, Fourie PH, Hallen F, Mostert L (2011) Grapevine cultivar variation to pruning wound protection by Trichoderma species against trunk pathogens. Phytopathol Mediterr 50:S264–S276

    Google Scholar 

  • Mutawila C, Vinale F, Halleen F, Lorito M, Mostert L (2016) Isolation, production and in vitro effects of the major secondary metabolite produced by Trichoderma species used for the control of grapevine trunk diseases. Plant Pathol 65:104–113

    Article  CAS  Google Scholar 

  • Pieterse CMJ, Zamioudis C, Berendsen RL, Weller DM, van Wees SCM, Bakker PAHM (2014) Induced systemic resistance by beneficial microbes. Ann Rev Phytopathol 52:347–375

    Article  CAS  Google Scholar 

  • Raymaekers K, Ponet L, Holtappels D, Berckmans B, Cammue BPA (2020) Screening for novel biocontrol agents applicable in plant disease management- a review. Biol Control 144:104240

    Article  Google Scholar 

  • Robin DC, Marchand PA (2019) Evolution of the biocontrol active substances in the framework of the European Pesticide Regulation (EC) No. 1107/2009. Pest Manage Sci 75:950–958

    Article  CAS  Google Scholar 

  • Travadon R, Baumgartner K (2015) Molecular polymorphism and phenotypic diversity in the Eutypa dieback pathogen Eutypa lata. Phytopathol 105:255–264

    Article  Google Scholar 

  • Travadon R, Rolshausen PE, Gubler WD, Cadle-Davidson L, Baumgartner K (2013) Susceptibility of cultivated and wild Vitis spp. to wood infection by fungal trunk pathogens. Plant Dis 97:1529–1536

    Article  Google Scholar 

  • Urbez-Torres JR, Leavitt GM, Voegel TM, Gubler WD (2006) Identification and distribution of Botryosphaeria spp. associated with grapevine cankers in California. Plant Dis 90:1490–1503

    Article  CAS  Google Scholar 

  • Wilson M, Lindow SE (1994) Coexistence among epiphytic bacterial populations mediated through nutritional resource partitioning. Appl Environ Microb 60:4468–4477

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The author thanks Julie Pedraza, Mala To, Justin King, Jasmine Ngo, and Ramenjit Kaur for their technical assistance in this work. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the USA Department of Agriculture. USDA is an equal opportunity provider and employer.

Funding

This work was funded with appropriations made to the San Joaquin Valley Agricultural Sciences Center from the United States government.

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CMW fully conceived and executed all aspects of this work, and prepared/edited/submitted the manuscript.

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Correspondence to C. M. Wallis.

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Handling Editor: Jesus Mercado Blanco.

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Wallis, C.M. Nutritional niche overlap analysis as a method to identify potential biocontrol fungi against trunk pathogens. BioControl 66, 559–571 (2021). https://doi.org/10.1007/s10526-021-10091-w

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