Metagenome data of bacterial diversity in pear (Pyrus communis L.) rhizospheres associated with Phytophthora infection and amino acid treatment
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 spe...
Ausführliche Beschreibung
Autor*in: |
Antonios Zambounis [verfasserIn] Maslin Osathanunkul [verfasserIn] Panagiotis Madesis [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2019 |
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Übergeordnetes Werk: |
In: Data in Brief - Elsevier, 2015, 26(2019), Seite - |
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Übergeordnetes Werk: |
volume:26 ; year:2019 ; pages:- |
Links: |
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DOI / URN: |
10.1016/j.dib.2019.104396 |
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Katalog-ID: |
DOAJ060819103 |
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520 | |a 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. Keywords: Deep amplicon sequencing, Metagenomics, 16S bacteriome communities, Phytophthora, Oomycetes | ||
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10.1016/j.dib.2019.104396 doi (DE-627)DOAJ060819103 (DE-599)DOAJ303147d140e2419a87746e45c73098a9 DE-627 ger DE-627 rakwb eng R858-859.7 Q1-390 Antonios Zambounis verfasserin aut Metagenome data of bacterial diversity in pear (Pyrus communis L.) rhizospheres associated with Phytophthora infection and amino acid treatment 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Keywords: Deep amplicon sequencing, Metagenomics, 16S bacteriome communities, Phytophthora, Oomycetes Computer applications to medicine. Medical informatics Science (General) Maslin Osathanunkul verfasserin aut Panagiotis Madesis verfasserin aut In Data in Brief Elsevier, 2015 26(2019), Seite - (DE-627)797838937 (DE-600)2786545-9 23523409 nnns volume:26 year:2019 pages:- https://doi.org/10.1016/j.dib.2019.104396 kostenfrei https://doaj.org/article/303147d140e2419a87746e45c73098a9 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352340919307516 kostenfrei https://doaj.org/toc/2352-3409 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 26 2019 - |
spelling |
10.1016/j.dib.2019.104396 doi (DE-627)DOAJ060819103 (DE-599)DOAJ303147d140e2419a87746e45c73098a9 DE-627 ger DE-627 rakwb eng R858-859.7 Q1-390 Antonios Zambounis verfasserin aut Metagenome data of bacterial diversity in pear (Pyrus communis L.) rhizospheres associated with Phytophthora infection and amino acid treatment 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Keywords: Deep amplicon sequencing, Metagenomics, 16S bacteriome communities, Phytophthora, Oomycetes Computer applications to medicine. Medical informatics Science (General) Maslin Osathanunkul verfasserin aut Panagiotis Madesis verfasserin aut In Data in Brief Elsevier, 2015 26(2019), Seite - (DE-627)797838937 (DE-600)2786545-9 23523409 nnns volume:26 year:2019 pages:- https://doi.org/10.1016/j.dib.2019.104396 kostenfrei https://doaj.org/article/303147d140e2419a87746e45c73098a9 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352340919307516 kostenfrei https://doaj.org/toc/2352-3409 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 26 2019 - |
allfields_unstemmed |
10.1016/j.dib.2019.104396 doi (DE-627)DOAJ060819103 (DE-599)DOAJ303147d140e2419a87746e45c73098a9 DE-627 ger DE-627 rakwb eng R858-859.7 Q1-390 Antonios Zambounis verfasserin aut Metagenome data of bacterial diversity in pear (Pyrus communis L.) rhizospheres associated with Phytophthora infection and amino acid treatment 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Keywords: Deep amplicon sequencing, Metagenomics, 16S bacteriome communities, Phytophthora, Oomycetes Computer applications to medicine. Medical informatics Science (General) Maslin Osathanunkul verfasserin aut Panagiotis Madesis verfasserin aut In Data in Brief Elsevier, 2015 26(2019), Seite - (DE-627)797838937 (DE-600)2786545-9 23523409 nnns volume:26 year:2019 pages:- https://doi.org/10.1016/j.dib.2019.104396 kostenfrei https://doaj.org/article/303147d140e2419a87746e45c73098a9 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352340919307516 kostenfrei https://doaj.org/toc/2352-3409 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 26 2019 - |
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10.1016/j.dib.2019.104396 doi (DE-627)DOAJ060819103 (DE-599)DOAJ303147d140e2419a87746e45c73098a9 DE-627 ger DE-627 rakwb eng R858-859.7 Q1-390 Antonios Zambounis verfasserin aut Metagenome data of bacterial diversity in pear (Pyrus communis L.) rhizospheres associated with Phytophthora infection and amino acid treatment 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Keywords: Deep amplicon sequencing, Metagenomics, 16S bacteriome communities, Phytophthora, Oomycetes Computer applications to medicine. Medical informatics Science (General) Maslin Osathanunkul verfasserin aut Panagiotis Madesis verfasserin aut In Data in Brief Elsevier, 2015 26(2019), Seite - (DE-627)797838937 (DE-600)2786545-9 23523409 nnns volume:26 year:2019 pages:- https://doi.org/10.1016/j.dib.2019.104396 kostenfrei https://doaj.org/article/303147d140e2419a87746e45c73098a9 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352340919307516 kostenfrei https://doaj.org/toc/2352-3409 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 26 2019 - |
allfieldsSound |
10.1016/j.dib.2019.104396 doi (DE-627)DOAJ060819103 (DE-599)DOAJ303147d140e2419a87746e45c73098a9 DE-627 ger DE-627 rakwb eng R858-859.7 Q1-390 Antonios Zambounis verfasserin aut Metagenome data of bacterial diversity in pear (Pyrus communis L.) rhizospheres associated with Phytophthora infection and amino acid treatment 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Keywords: Deep amplicon sequencing, Metagenomics, 16S bacteriome communities, Phytophthora, Oomycetes Computer applications to medicine. Medical informatics Science (General) Maslin Osathanunkul verfasserin aut Panagiotis Madesis verfasserin aut In Data in Brief Elsevier, 2015 26(2019), Seite - (DE-627)797838937 (DE-600)2786545-9 23523409 nnns volume:26 year:2019 pages:- https://doi.org/10.1016/j.dib.2019.104396 kostenfrei https://doaj.org/article/303147d140e2419a87746e45c73098a9 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352340919307516 kostenfrei https://doaj.org/toc/2352-3409 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 26 2019 - |
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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. Keywords: Deep amplicon sequencing, Metagenomics, 16S bacteriome communities, Phytophthora, Oomycetes |
abstractGer |
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. Keywords: Deep amplicon sequencing, Metagenomics, 16S bacteriome communities, Phytophthora, Oomycetes |
abstract_unstemmed |
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. Keywords: Deep amplicon sequencing, Metagenomics, 16S bacteriome communities, Phytophthora, Oomycetes |
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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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