FBIP: Endophytic bacterial communities in the fynbos biome

Enregistrements de données

Les données de cette ressource occurrence ont été publiées sous forme d'une Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant qu'ensemble d'un ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 25 enregistrements.

Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.

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Comment citer

Les chercheurs doivent citer cette ressource comme suit:

Valverde A (2019): FBIP: Endophytic bacterial communities in the fynbos biome. v1.1. South African National Biodiversity Institute. Dataset/Occurrence. http://ipt.sanbi.org.za/iptsanbi/resource?r=fbip_endophytic_bacterial_communities_in_the_fynbos_biome&v=1.1

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est South African National Biodiversity Institute. Ce travail est sous licence Creative Commons Attribution (CC-BY) 4.0.

Enregistrement GBIF

Cette ressource a été enregistrée sur le portail GBIF, et possède l'UUID GBIF suivante : 19e4e6dd-1800-4c2d-af34-ebc30879c65a.  South African National Biodiversity Institute publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du South African Biodiversity Information Facility.

Mots-clé

Endophytic bacteria; fynbos plants; Observation

Contacts

Couverture géographique

South Africa; Western Cape; Hermanus; Fernkloof Nature Reserve

Couverture taxonomique

Identified to Genus level

Couverture temporelle

Données sur le projet

Several studies have shown that plants actively recruit beneficial soil microorganisms. However, those studies have focused on agricultural ecosystems and on symbiotic rhizobia and mycorrhizal fungi, yet there is evidence that other groups of soil microorganisms can affect plant growth and health. The aim of this study is to begin deciphering the endophytic communities associated with fynbos plants, with a focus on bacteria and their activity. This might have implications in a context of global change, since it has been shown that plant adaptation to certain stressors (e.g. drought) is facilitated by genetic changes in populations of closely associated microbial communities.

Les personnes impliquées dans le projet:

Méthodes d'échantillonnage

The plant material was washed with tap water, cut into sections and surface sterilized by immersion into 2% NaOCl (3 min), 2% sodium thiosulphate (3min) and sterile distilled water. The samples were divided in two equal portions, one used for molecular analyses, and the other for bacterial isolation. For bacterial isolation, the tissues were homogenized by using sterilized mortars and pestles in sterile potassium phosphate buffer. The supernatant was used for serial dilution plating on R2A solid medium (Merck) and the plates were incubated at 25 °C and screened for colonies at 2-21 days after plating. Individual colonies were picked to produce pure cultures, which were preserved in liquid R2 medium with 50% glycerol at -80 °C. Isolates were compared and grouped by BOX-PCR (Versalovic et al., 1994), then identified by amplification and subsequent sequencing of bacterial 16S rRNA genes with primers 27F and 1492R and assigned to species using the closest relative by using EzTaxon-e (http://eztaxon-e.ezbiocloud.net/).

Description des étapes de la méthode:

1. We will isolate and identify endophytic bacteria associated with 3 fynbos plant species representing 3 disparate families (Disa graminifolia, Leucadendron gandogeri and Senecio burchellii). We will study their phenotypic traits potentially associated with plant-growth promoting activities. Finally, as it has been shown that a great proportion of bacteria are unable to grow under laboratory conditions, we will use culture-independent approaches (i.e. T-RFLP and pyrosequencing) to study the impact of site, soil and plant species on endophytic bacterial community diversity and composition. Sampling Participants: Dr. A. Valverde, Prof. D. Cowan, Honour student Timeframe: January 2014 Samples will be collected in the Fernkloof Nature Reserve (FNR). Plants will be randomly sampled from 3 sites. At each site, five individual plants per species will be collected.Healthy-looking plants will be collected with sterile spades and gloves. Spades will be sterilized between different sampling sites and/or plant species. The material will be stored at 4 °C and processed within 48 h after harvesting. Soil chemical analysis Participants: outsource Timeframe: February-April 2014 Soil samples will be sieved (2 mm mesh diameter) and analysed by the Central Analytical Facilities (Stellenbosch University) using standard methods. Endophytic bacteria isolation and identification Participants: Dr. A. Valverde, Prof. D. Cowan, Honour student Timeframe: February-July 2014 The plant material will be thoroughly washed with tap water, cut into sections and surface sterilized by immersion into 2% NaOCl (3 min), 2% sodium thiosulphate (3min) and sterile distilled water (dH2O; 3x3 min) The samples will be divided in two equal portions, one used for molecular analyses, and the other for bacterial isolation. The material for the DNA-based analyses will be snapfrozen and stored at -80 °C prior to analysis. For bacterial isolation, the tissues will be homogenized by using sterilized mortars and pestles in sterile potassium phosphate buffer. The supernatant will be used for serial dilution plating on R2A solid medium (Merck) and the plates will be incubated at 25 °C and screened for colonies at 2-21 days after plating. Culturable bacterial densities will be estimated by dilution plating. Individual colonies will be picked to produce pure cultures, which will be preserved in liquid R2 medium with 50% glycerol at -80 °C. Isolates will be compared and grouped by BOX-PCR (Versalovic et al., 1994), then identified by amplification and subsequent sequencing of bacterial 16S rRNA genes with primers 27F and 1492R and assigned to species using the closest relative by using EzTaxon-e (http://eztaxon-e.ezbiocloud.net/). Testing for phenotypes Participants: Dr. A. Valverde, Prof. D. Cowan, Honour student Timeframe: March-July 2014 - Phoshate solubilization ability will be assessed by growing the strains in NBRIP medium (Nautiyal 1999). Phosphate solubilization is evidenced by the presence of a transparent halo around the strain. - ACC deaminase activity will be characterized by measuring the production of α-KB as described by Honma and Shimomura (1978). - IAA synthesis ability will be assessed as previously described (Khalid et al., 2004). After colour development the absorbance at 535 nm will be measured, and the IAA synthetized estimated (μg/ml) by comparison with a standard curve based in IAA solutions (Sigma). Community fingerprinting (T-RFLP) and pyrosequencing analysis Participants: Dr. A. Valverde, Prof. D. Cowan, Honour student Timeframe: April-September 2014 Metagenomic DNA isolation of endobacterial communities will be carried out with the DNeasy Plant Mini Kit (Qiagen) following the manufacturer’s instructions. For T-RFLP analysis the 16S rRNA genes will be amplified using primer pair 799F-1492R, as primer 799R is reported to exclude plant chloroplasts (Chelius & Triplett, 2001). The forward primer will be labeled with 6’ carboxyfluorescein (6-FAM). T-RFLP analysis will be performed as described elsewhere (Valverde et al., 2012). To identify organisms present in each sample, 454 sequencing of the 16S rRNA genes will be performed. A total of 12 samples (4 per plant species) will be selected on the basis of T-RFLP analysis. The SSU rRNA genes present in each sample will be amplified with the primers 1114F and 1392R containing the 454 adaptors (Engelbrektson et al., 2010). Using QIIME (http://qiime.org/) short reads will be removed and the remaining reads will be trimmed to 220 bp. Low-quality reads will be removed from the analysis using default quality settings (http://qiime.org/scripts/split_libraries.html). These high-quality sequences will be clustered into OTUs at 97% identity. The consensus sequence of sequences in each OTU will be used as a representative sequence. Each representative sequence will be affiliated using the RDP classifier. Statistical analysis Participants: Dr. A. Valverde, Prof. D. Cowan, Honour student Timeframe: throughout the project, but especially October-December 2014 Redundancy analysis (RDA) will be used to correlate bacterial community composition (expressed as abundance of bacterial T-RFLP derived OTUs) with host-plant species, sampling site and soil properties. Significance of these correlations will be assessed by 999 permutations. RDA analysis and visualization will be performed with the “vegan” package in R (http://www.r-project.org/). Intra- and intercommunity analysis will be performed using QIIME. Bacterial diversity of the samples will be calculated using rarefaction, ACE and the Shannon-Weaver diversity indices. Intercommunity OTU composition will be evaluated with UniFrac distance. UniFrac distances between samples are based on the fraction of branch length that is unique to each sample in a shared phylogenetic tree. Phylogenetic clustering is a good proxy for habitat associations that have likely emerged through evolutionary adaptation (Wang 2013).

Métadonnées additionnelles