Bacteriome dataset from the rhizosphere of trees in a Pinus pinaster and Pinus halepensis dominated forest subjected to drought conditions

The Mediterranean basin is drastically affected by intense and frequent droughts, which jeopardize the diversity and survival of its forest, for example, Pinus pinaster forests. The dynamics of the bacterial communities inhabiting the rhizosphere of Pinus pinaster and other plants from a pine dominated forest under contrasting hydric conditions was monitored. The forest was located in Sierra de Oria (southeast Spain), and it was mainly composed by P. pinaster, P. halepensis, woody shrub species and herbaceous plants. 18 trees visually belonging to P. pinaster located along the perimeter and across the forest were selected for the analysis. All the trees were separated at least 50 m each other. Although all of them belonged to P. pinaster morphologically according to visual identification, the genotyping of the roots confirmed that they corresponded to P. pinaster, P. halepensis, and other plant species different from genus Pinus, although in the last case it was not possible to identify the plant species. At a distance less than 50 cm from the trunk, the litter and topsoil were removed, and the soil closely attached to non-suberified roots (rhizosphere soil) was collected (depth of 5-25 cm). Sampling was carried out in two seasons with contrasting temperature and rainfall patterns: on July 18, 2017 (summer) and April 24, 2018 (spring). After rhizosphere soil DNA and RNA extraction (and cDNA synthesis), a metabarcoding approach was followed by sequencing the V3-V4 hypervariable regions of the 16S rRNA gene and its derived transcripts by Illumina MiSeq platform. Sequencing reads were bioinformatically processed; specifically, they were filtered, trimmed, clustered into ASV (Amplicon Sequence Variants), and taxonomically identified. As a result, a total of 1,123,209 and 1,089,359 quality sequences were obtained from DNA and RNA-derived libraries, which resulted in 5,241 and 5,231 ASVs, respectively. Total communities (DNA) were mainly dominated by phyla Proteobacteria, Acidobacteria, Actinobacteria, Verrucomicrobia and Bacteroidetes in summer and spring, while potentially active populations (RNA libraries) were rich in Proteobacteria, Acidobacteria, Candidate division WPS-1, Actinobacteria and Verrucomicrobia both in summer and spring. On the other hand, DNA libraries were mainly dominated by genera Sphingomonas and acidobacterial groups Gp4 and Gp6, while potentially active bacteria (RNA) were rich in acidobacterial Gp3, Gp4, Gp6 and Phenylobacterium, although their relative abundance depended on the considered season. This dataset can provide valuable information about bacterial candidates which could be used as bioindicators of drought conditions. In addition to shifts in the bacterial relative abundance due to seasonal changes, the ratio RNA-based cDNA:DNA could be calculated as proxy of the potential activity of bacterial taxa. Moreover, these data could aid in developing bioformulations based on microorganisms which could be resistant to desiccation and involved in the drought resistance mechanisms of the host plant.

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Main Authors: Lasa, Ana V., Guevara, M. A., Villadas, Pablo J., Fernández-González, Antonio José, Cervera, M.T., Fernández-López, Manuel
Other Authors: Ministerio de Ciencia e Innovación (España)
Format: artículo biblioteca
Published: 2023
Subjects:Rhizosphere bacteriome, 16S rRNA gene, Metabarcoding, Mediterranean pine forest, Microbial ecology, Drought,
Online Access:http://hdl.handle.net/10261/308650
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id dig-inia-es-10261-308650
record_format koha
institution INIA ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-inia-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del INIA España
topic Rhizosphere bacteriome
16S rRNA gene
Metabarcoding
Mediterranean pine forest
Microbial ecology
Drought
Rhizosphere bacteriome
16S rRNA gene
Metabarcoding
Mediterranean pine forest
Microbial ecology
Drought
spellingShingle Rhizosphere bacteriome
16S rRNA gene
Metabarcoding
Mediterranean pine forest
Microbial ecology
Drought
Rhizosphere bacteriome
16S rRNA gene
Metabarcoding
Mediterranean pine forest
Microbial ecology
Drought
Lasa, Ana V.
Guevara, M. A.
Villadas, Pablo J.
Fernández-González, Antonio José
Cervera, M.T.
Fernández-López, Manuel
Bacteriome dataset from the rhizosphere of trees in a Pinus pinaster and Pinus halepensis dominated forest subjected to drought conditions
description The Mediterranean basin is drastically affected by intense and frequent droughts, which jeopardize the diversity and survival of its forest, for example, Pinus pinaster forests. The dynamics of the bacterial communities inhabiting the rhizosphere of Pinus pinaster and other plants from a pine dominated forest under contrasting hydric conditions was monitored. The forest was located in Sierra de Oria (southeast Spain), and it was mainly composed by P. pinaster, P. halepensis, woody shrub species and herbaceous plants. 18 trees visually belonging to P. pinaster located along the perimeter and across the forest were selected for the analysis. All the trees were separated at least 50 m each other. Although all of them belonged to P. pinaster morphologically according to visual identification, the genotyping of the roots confirmed that they corresponded to P. pinaster, P. halepensis, and other plant species different from genus Pinus, although in the last case it was not possible to identify the plant species. At a distance less than 50 cm from the trunk, the litter and topsoil were removed, and the soil closely attached to non-suberified roots (rhizosphere soil) was collected (depth of 5-25 cm). Sampling was carried out in two seasons with contrasting temperature and rainfall patterns: on July 18, 2017 (summer) and April 24, 2018 (spring). After rhizosphere soil DNA and RNA extraction (and cDNA synthesis), a metabarcoding approach was followed by sequencing the V3-V4 hypervariable regions of the 16S rRNA gene and its derived transcripts by Illumina MiSeq platform. Sequencing reads were bioinformatically processed; specifically, they were filtered, trimmed, clustered into ASV (Amplicon Sequence Variants), and taxonomically identified. As a result, a total of 1,123,209 and 1,089,359 quality sequences were obtained from DNA and RNA-derived libraries, which resulted in 5,241 and 5,231 ASVs, respectively. Total communities (DNA) were mainly dominated by phyla Proteobacteria, Acidobacteria, Actinobacteria, Verrucomicrobia and Bacteroidetes in summer and spring, while potentially active populations (RNA libraries) were rich in Proteobacteria, Acidobacteria, Candidate division WPS-1, Actinobacteria and Verrucomicrobia both in summer and spring. On the other hand, DNA libraries were mainly dominated by genera Sphingomonas and acidobacterial groups Gp4 and Gp6, while potentially active bacteria (RNA) were rich in acidobacterial Gp3, Gp4, Gp6 and Phenylobacterium, although their relative abundance depended on the considered season. This dataset can provide valuable information about bacterial candidates which could be used as bioindicators of drought conditions. In addition to shifts in the bacterial relative abundance due to seasonal changes, the ratio RNA-based cDNA:DNA could be calculated as proxy of the potential activity of bacterial taxa. Moreover, these data could aid in developing bioformulations based on microorganisms which could be resistant to desiccation and involved in the drought resistance mechanisms of the host plant.
author2 Ministerio de Ciencia e Innovación (España)
author_facet Ministerio de Ciencia e Innovación (España)
Lasa, Ana V.
Guevara, M. A.
Villadas, Pablo J.
Fernández-González, Antonio José
Cervera, M.T.
Fernández-López, Manuel
format artículo
topic_facet Rhizosphere bacteriome
16S rRNA gene
Metabarcoding
Mediterranean pine forest
Microbial ecology
Drought
author Lasa, Ana V.
Guevara, M. A.
Villadas, Pablo J.
Fernández-González, Antonio José
Cervera, M.T.
Fernández-López, Manuel
author_sort Lasa, Ana V.
title Bacteriome dataset from the rhizosphere of trees in a Pinus pinaster and Pinus halepensis dominated forest subjected to drought conditions
title_short Bacteriome dataset from the rhizosphere of trees in a Pinus pinaster and Pinus halepensis dominated forest subjected to drought conditions
title_full Bacteriome dataset from the rhizosphere of trees in a Pinus pinaster and Pinus halepensis dominated forest subjected to drought conditions
title_fullStr Bacteriome dataset from the rhizosphere of trees in a Pinus pinaster and Pinus halepensis dominated forest subjected to drought conditions
title_full_unstemmed Bacteriome dataset from the rhizosphere of trees in a Pinus pinaster and Pinus halepensis dominated forest subjected to drought conditions
title_sort bacteriome dataset from the rhizosphere of trees in a pinus pinaster and pinus halepensis dominated forest subjected to drought conditions
publishDate 2023
url http://hdl.handle.net/10261/308650
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spelling dig-inia-es-10261-3086502023-05-10T14:05:03Z Bacteriome dataset from the rhizosphere of trees in a Pinus pinaster and Pinus halepensis dominated forest subjected to drought conditions Lasa, Ana V. Guevara, M. A. Villadas, Pablo J. Fernández-González, Antonio José Cervera, M.T. Fernández-López, Manuel Ministerio de Ciencia e Innovación (España) European Commission Ministerio de Economía, Industria y Competitividad (España) Rhizosphere bacteriome 16S rRNA gene Metabarcoding Mediterranean pine forest Microbial ecology Drought The Mediterranean basin is drastically affected by intense and frequent droughts, which jeopardize the diversity and survival of its forest, for example, Pinus pinaster forests. The dynamics of the bacterial communities inhabiting the rhizosphere of Pinus pinaster and other plants from a pine dominated forest under contrasting hydric conditions was monitored. The forest was located in Sierra de Oria (southeast Spain), and it was mainly composed by P. pinaster, P. halepensis, woody shrub species and herbaceous plants. 18 trees visually belonging to P. pinaster located along the perimeter and across the forest were selected for the analysis. All the trees were separated at least 50 m each other. Although all of them belonged to P. pinaster morphologically according to visual identification, the genotyping of the roots confirmed that they corresponded to P. pinaster, P. halepensis, and other plant species different from genus Pinus, although in the last case it was not possible to identify the plant species. At a distance less than 50 cm from the trunk, the litter and topsoil were removed, and the soil closely attached to non-suberified roots (rhizosphere soil) was collected (depth of 5-25 cm). Sampling was carried out in two seasons with contrasting temperature and rainfall patterns: on July 18, 2017 (summer) and April 24, 2018 (spring). After rhizosphere soil DNA and RNA extraction (and cDNA synthesis), a metabarcoding approach was followed by sequencing the V3-V4 hypervariable regions of the 16S rRNA gene and its derived transcripts by Illumina MiSeq platform. Sequencing reads were bioinformatically processed; specifically, they were filtered, trimmed, clustered into ASV (Amplicon Sequence Variants), and taxonomically identified. As a result, a total of 1,123,209 and 1,089,359 quality sequences were obtained from DNA and RNA-derived libraries, which resulted in 5,241 and 5,231 ASVs, respectively. Total communities (DNA) were mainly dominated by phyla Proteobacteria, Acidobacteria, Actinobacteria, Verrucomicrobia and Bacteroidetes in summer and spring, while potentially active populations (RNA libraries) were rich in Proteobacteria, Acidobacteria, Candidate division WPS-1, Actinobacteria and Verrucomicrobia both in summer and spring. On the other hand, DNA libraries were mainly dominated by genera Sphingomonas and acidobacterial groups Gp4 and Gp6, while potentially active bacteria (RNA) were rich in acidobacterial Gp3, Gp4, Gp6 and Phenylobacterium, although their relative abundance depended on the considered season. This dataset can provide valuable information about bacterial candidates which could be used as bioindicators of drought conditions. In addition to shifts in the bacterial relative abundance due to seasonal changes, the ratio RNA-based cDNA:DNA could be calculated as proxy of the potential activity of bacterial taxa. Moreover, these data could aid in developing bioformulations based on microorganisms which could be resistant to desiccation and involved in the drought resistance mechanisms of the host plant. This work was supported by the Spanish Ministry of Economy, Industry and Competitiveness [AGL2015-66048-C2-1-R; RTI2018-098015-B-I00], and by the Spanish Ministry of Science and Innovation project SUMHAL [LIFEWATCH-2019-09-CSIC-13, POPE 2014-2020], both co-financed by the European Regional Development Fund (ERDF). 2023-05-10T14:05:03Z 2023-05-10T14:05:03Z 2023 2023-05-10T14:05:03Z artículo doi: 10.1016/j.dib.2022.108805 issn: 2352-3409 Data in Brief 46: 108805 (2023) http://hdl.handle.net/10261/308650 #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MINECO//AGL2015-66048-C2-1-R/ES/ESTUDIO DEL EFECTO DEL PORTAINJERTOS Y DEL MICROBIOMA DE LA RIZOSFERA EN LA RESPUESTA DE PINUS PINASTER A LA SEQUIA EMPLEANDO UN ENFOQUE MULTIDISCIPLINAR/ info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098015-B-I00/ES/ESTUDIO MOLECULAR DE LA RESPUESTA DEL PINO RESINERO (PINUS PINASTER AIT.) A LA SEQUIA MEDIANTE EL USO DE INJERTOS DE GENOTIPOS CON RESPUESTA CONTRASTADA/ LIFEWATCH-2019-09-CSIC-13, POPE 2014-2020 Publisher's version http://dx.doi.org/10.1016/j.dib.2022.108805 Sí open