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Metagenome data of bacterial diversity in pear (Pyrus communis L.) rhizospheres associated with Phytophthora infection and amino acid treatment.

ABSTRACT: The bacterial diversity in rhizosphere soil of pear trees (Pyrus communis L. cv. Krystalli) from an orchard at Thessaly region of Greece was characterized employing amplicon-based metagenomics analysis. Pathogenic filamentous oomycetes of the genus Phytophthora comprises more than 150 recognized species and cause highly destructive soil-borne diseases in deciduous trees crops worldwide. Moreover, the treatment of soil microbiota with amino acids is an alternative strategy to achieve desirable effects even against phytopathogenic oomycetes. In our study, samples from rhizosphere soil were collected either from naturally Phytophthora-infected trees, from completely asymptomatic ones, or from trees as above subjected also to treatments with amino acids (Amino16®) under different fertilization regimes. The interactions of bacterial communities with plant pathogenic oomycetes are crucial to determine the course of infection and the pathogenicity encompassing various functional contexts like biofilm formation. Thus, for deciphering the structure and diversity of these soil bacterial communities, we applied a 16S rRNA Illumina sequencing approach targeting the V3-V4 gene region. After quality check 478,479 sequences were obtained in the dataset comprising a total read length of 192,291,625 base pairs. Proteobacteria were the dominant phylum (46.1%) followed by Acidobacteria (13.2%) and Actinobacteria (12.4%). Different distributions of phyla were observed among our samples which is indicative of various alterations of soil bacterial communities in rhizosphere. The metagenome data from this survey are available at NCBI Sequence Read Archive (SRA) database and Biosample under accession number PRJNA542725.

SUBMITTER: Zambounis A

PROVIDER: S-EPMC6811883 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Project description:Genomic analysis technologies can promote efficient fruit tree breeding. Genotyping by sequencing (GBS) enables generating efficient data for high-quality genetic map construction and QTL analysis in a relatively accessible way. Furthermore, High-resolution genetic map construction and accurate QTL detection can significantly narrow down the putative candidate genes associated with important plant traits.We genotyped 162 offspring in the F1 'Spadona' x 'Harrow Sweet' pear population using GBS. An additional 21 pear accessions, including the F1 population's parents, from our germplasm collection were subjected to GBS to examine diverse genetic backgrounds that are associated to agriculturally relevant traits and to enhance the power of SNP calling. A standard SNP calling pipeline identified 206,971 SNPs with Asian pear ('Suli') as the reference genome and 148,622 SNPs with the European genome ('Bartlett'). These results enabled constructing a genetic map, after further stringent SNP filtering, consisting of 2036 markers on 17 linkage groups with a length of 1433 cM and an average marker interval of 0.7 cM. We aligned 1030 scaffolds covering a total size of 165.5 Mbp (29%) of the European pear genome to the 17 linkage groups. For high-resolution QTL analysis covering the whole genome, we used phenotyping for vegetative budbreak time in the F1 population. New QTLs associated to vegetative budbreak time were detected on linkage groups 5, 13 and 15. A major QTL on linkage group 8 and an additional QTL on linkage group 9 were confirmed. Due to the significant genotype-by-environment (GxE) effect, we were able to identify novel interaction QTLs on linkage groups 5, 8, 9 and 17. Phenotype-genotype association analysis in the pear accessions for main genotype effect was conducted to support the QTLs detected in the F1 population. Significant markers were detected on every linkage group to which main genotype effect QTLs were mapped.This is the first vegetative budbreak study of European pear that makes use of high-resolution genetic mapping. These results provide tools for marker-assisted selection and accurate QTL analysis in pear, and specifically at vegetative budbreak, considering the significant GxE and phenotype-plasticity effects.

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Metagenome data of bacterial diversity in pear (Pyrus communis L.) rhizospheres associated with Phytophthora infection and amino acid treatment.

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