Dataset Information

Genome sequence data of the antagonistic soil-borne yeast Cyberlindnera sargentensis (SHA 17.2).

ABSTRACT: Cyberlindnera sargentensis strain SHA 17.2, isolated from a Swiss soil sample, exhibited strong antagonistic activity against several plant pathogenic fungi in vitro and was highly competitive against other yeasts in soil. As a basis for identifying the mechanisms underlying its strong antagonistic activity, we have sequenced the genome of C. sargentensis (SHA 17.2) by long- and short read sequencing, de novo assembled them into seven contigs/chromosomes and a mitogenome (total genome size 11.4 Mbp), and annotated 5455 genes. This high-quality genome is the reference for transcriptome and proteome analyses aiming at elucidating the mode of action of C. sargentensis against fungal plant pathogens. It will thus serve as a resource for identifying potential biocontrol genes and performing comparative genomics analyses of yeast genomes.

SUBMITTER: Rueda-Mejia MP

PROVIDER: S-EPMC8762083 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature

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Genome sequence data of the antagonistic soil-borne yeast Cyberlindnera sargentensis (SHA 17.2).

Rueda-Mejia Maria Paula MP Nägeli Lukas L Lutz Stefanie S Ortiz-Merino Raúl A RA Frei Daniel D Frey Jürg E JE Wolfe Kenneth H KH Ahrens Christian H CH Freimoser Florian M FM

Data in brief 20220105

Cyberlindnera sargentensis strain SHA 17.2, isolated from a Swiss soil sample, exhibited strong antagonistic activity against several plant pathogenic fungi in vitro and was highly competitive against other yeasts in soil. As a basis for identifying the mechanisms underlying its strong antagonistic activity, we have sequenced the genome of C. sargentensis (SHA 17.2) by long- and short read sequencing, de novo assembled them into seven contigs/chromosomes and a ...[more]

PMID: 35071701

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Project description:Trichoderma species are known as excellent biocontrol agents against soil-borne pathogens that cause considerable crop losses. Eight strains of Trichoderma were isolated from five Egyptian regions. They identified based on translation elongation factor-1α (TEF1) sequencing as four different Trichoderma species: Trichoderma asperellum, Trichoderma harzianum, Trichoderma viride, and Trichoderma longibrachiatum. Optimal growth conditions (temperature and media), and the phosphate solubilization capability of Trichoderma strains were evaluated in vitro. Further, the ability of these strains to antagonize Fusarium solani, Macrophomina phaseolina, and Fusarium graminearum was also evaluated. The results revealed that Trichoderma harzianum (Th6) exhibited the highest antagonistic ability against F. solani, M. phaseolina and F. graminearum with inhibition rates of 71.42%, 72.97%, and 84.61%, respectively. Trichoderma viride (Tv8) exhibited the lowest antagonism against the same pathogens with inhibition rates of 50%, 64% and 69.23%, respectively. Simple-sequence repeats (SSRs) and random amplified polymorphic DNA (RAPD) markers were used to evaluate the genetic variability of the Trichoderma strains. The results revealed that of 45 RAPD amplified bands, 36 bands (80%) were polymorphic and of SSRs amplified 36 bands, 31 bands (86.11%) were polymorphic. The amplification of calmodulin and β-1,3-endoglucanase was noted at 500 bp and 230 bp, respectively. Data indicated that T. viride (Tv8) had the highest phosphate solubilization index (10.0 mm), while T. harzianum (Th6) had the lowest phosphate solubilization index (4.0 mm). In conclusion, T. harzianum (Th6) had the highest antagonistic activity in dual culture assay along with the growth rate; while T. viride (Tv8) had the highest phosphate solubilization activity. There are still gaps in obtaining new formulations, selecting potent Trichoderma strains to confirm disease control in planta. For improving Trichoderma recommendation in the organic agricultural system and sustaining the fertility of the soil, the field application of highly antagonistic biocontrol agents in different types of soil and plant species will be the first approach toward bio-pesticide treatments along with bio-fertilizer inoculation. Furthermore, secondary metabolites will be investigated for the most promising strains with the combination of different pathogens and application timing.

Dataset Information

Genome sequence data of the antagonistic soil-borne yeast Cyberlindnera sargentensis (SHA 17.2).

Publications

Genome sequence data of the antagonistic soil-borne yeast <i>Cyberlindnera sargentensis</i> (SHA 17.2).

Similar Datasets

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