Literature DB >> 28572315

Deeper Insight in Beehives: Metagenomes of Royal Jelly, Pollen, and Honey from Lavender, Chestnut, and Fir Honeydew and Epiphytic and Endophytic Microbiota of Lavender and Rose Flowers.

Julien Crovadore1, François Gérard2, Romain Chablais1, Bastien Cochard1, Karl Kristian Bergman Jensen3, François Lefort4.   

Abstract

Microbiota of beehive products are very little known. We report here for the first time six metagenomes of royal jelly, pollen, and different types of honey from wild and cultivated lavender, chestnut, and fir honeydew. Four metagenomes of epiphytic and endophytic microbiota of lavender and rose flowers are also reported.
Copyright © 2017 Crovadore et al.

Entities:  

Year:  2017        PMID: 28572315      PMCID: PMC5454198          DOI: 10.1128/genomeA.00425-17

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

While the health benefits of beehive products are widely acknowledged, their associated microbiota remain very little known. Metagenomic studies are mainly focused on the microbiota of bee gut as a model for studying insect gut and for bee health issues (1, 2). A honey metagenome produced by pyrosequencing has been reported once (3), but other beehive products had not been investigated until now. Metagenomic shotgun sequencing allowed for describing the microbiota of beehive-related products such as honey (from wild and cultivated lavender, chestnut, and fir honeydew), royal jelly, and pollen. We also described the epiphytic and endophytic microbiota of rose and lavender flowers. All samples were taken from the mountains of the National Park of Mercantour, located north of La Bollène Vésubie (France), except one from a culture of Lavendula latifolia × officinalis from the plateau of Valensole (located south of the National Park of Mercantour) and one from fir (Abies alba) honeydew honey from the Vosges mountains (Allarmont, France). Flowers of wild lavender (Lavandula angustifolia) were sampled in the mountains of La Bollène Vésubie, while flowers of Rosa × damascena were from La Pallud-sur-Verdon (France). Total DNA extractions from the microbiota of the honey samples were performed according to an adapted protocol of DNA extraction from honey (4), starting from 50 g of honey. Resulting pellets were extracted according to a CTAB-based protocol (5). DNA of epiphytic microbiota from lavender and rose flowers were extracted by incubating flowers in PBS (1×) 0.15% Tween 20 with shaking (400 rpm) for 10 min, followed by a 5-min sonication step, shaking for 10 min (400 rpm) prior to prefiltration, and filtration on a 0.22-µm sterile filter (Millipore, Germany). DNA was finally extracted from the filters using the CTAB-based protocol (5). DNA from the endophytic microbiota was extracted from 200 mg of fresh material using the same protocol (5), as was DNA from fresh pollen and royal jelly. All DNA isolations included an RNA digestion step with RNase A/T1 (Ambion RNase cocktail) and were re-suspended in RNase-DNase-free sterile water. For each sample, 0.1 to 1 µg of DNA was sheared in an AFA microTUBE (Covaris, USA) in an S2 ultrasonicator (Covaris) to achieve an average fragment size of 350 bp. Libraries were created using the TruSeq DNA PCR-free and TruSeq Nano DNA library preparation kits (Illumina, USA), and the insert size was checked in a Fragment analyzer (Advanced Analytical Technologies, Inc., USA). Whole-metagenome shotgun sequencing was carried out within three high-output (300 cycles) Illumina MiniSeq runs with a 2 × 151-bp paired-end read length. Reads were extracted from BaseSpace (Illumina) with an automatic trimming of the adaptor plus removal of Ns. The sequencing yield ranged from 0.13 to 4.37 Gb per sample. Quality control was performed with FastQC (http://www.bioinformatics.babraham.ac.uk/projects/fastqc). Bioinformatics analysis and operational taxonomic unit identification were performed with the metagenome classifiers “one Codex” (6), Kaiju (7), and the MG-RAST pipeline (8). Lactobacillus kunkeei was found dominant in honey, as observed by Asama (3), and in other royal jelly and pollen samples, too.

Accession number(s).

Metagenome raw sequencing data have been made publicly available through the Sequence Read Archive (SRA) (9) of the National Center for Biotechnology Information under the SRA accession numbers given in Table 1. They have also been deposited at the MG-RAST database (accessible at http://metagenomics.anl.gov).
TABLE 1

Nucleotide sequence accession numbers

Sample nameSequence Read Archive accession no.
Rosa × damascena epiphytic microbiotaSRR5170319
Rosa × damascena endophytic microbiotaSRR5172675
Lavandula angustifolia epiphytic microbiotaSRR5172868
Lavandula angustifolia endophytic microbiotaSRR5172873
Castanea sativa honeySRR5172884
Fresh pollen from beehiveSRR5172883
Royal jellySRR5172922
Lavandula angustifolia honeySRR5188317
Lavendula latifolia × officinalis honeySRR5188336
Honeydew honey from Abies albaSRR5208578
Nucleotide sequence accession numbers
  6 in total

1.  Lactobacillus kunkeei YB38 from honeybee products enhances IgA production in healthy adults.

Authors:  T Asama; T-H Arima; T Gomi; T Keishi; H Tani; Y Kimura; T Tatefuji; K Hashimoto
Journal:  J Appl Microbiol       Date:  2015-08-10       Impact factor: 3.772

Review 2.  Gut microbial communities of social bees.

Authors:  Waldan K Kwong; Nancy A Moran
Journal:  Nat Rev Microbiol       Date:  2016-05-03       Impact factor: 60.633

3.  The sequence read archive.

Authors:  Rasko Leinonen; Hideaki Sugawara; Martin Shumway
Journal:  Nucleic Acids Res       Date:  2010-11-09       Impact factor: 16.971

4.  The metagenomics RAST server - a public resource for the automatic phylogenetic and functional analysis of metagenomes.

Authors:  F Meyer; D Paarmann; M D'Souza; R Olson; E M Glass; M Kubal; T Paczian; A Rodriguez; R Stevens; A Wilke; J Wilkening; R A Edwards
Journal:  BMC Bioinformatics       Date:  2008-09-19       Impact factor: 3.169

5.  Fast and sensitive taxonomic classification for metagenomics with Kaiju.

Authors:  Peter Menzel; Kim Lee Ng; Anders Krogh
Journal:  Nat Commun       Date:  2016-04-13       Impact factor: 14.919

6.  Dynamic microbiome evolution in social bees.

Authors:  Waldan K Kwong; Luis A Medina; Hauke Koch; Kong-Wah Sing; Eunice Jia Yu Soh; John S Ascher; Rodolfo Jaffé; Nancy A Moran
Journal:  Sci Adv       Date:  2017-03-29       Impact factor: 14.136

  6 in total
  2 in total

1.  Draft Genome Sequences of 3 Strains of Apilactobacillus kunkeei Isolated from the Bee Gut Microbial Community.

Authors:  Julien Crovadore; Romain Chablais; François Raffini; Bastien Cochard; Martine Hänzi; François Gérard; Karl Kristian Jensen; François Lefort
Journal:  Microbiol Resour Announc       Date:  2021-04-01

2.  Microbial Diversity in Commercial Bee Pollen from Europe, Chile, and Mexico, Based on 16S rRNA Gene Amplicon Metagenome Sequencing.

Authors:  Vicente D Moreno Andrade; Carlos Saldaña Gutiérrez; Rosa P Calvillo Medina; Andrés Cruz Hérnandez; Moisés A Vázquez Cruz; Alfonso Torres Ruíz; Sergio Romero Gómez; Miguel A Ramos López; Erika Álvarez-Hidalgo; Silvia B López-Gaytan; Natanahel Salvador Ramírez; George H Jones; Jose Luis Hernandez-Flores; Juan Campos-Guillén
Journal:  Genome Announc       Date:  2018-05-17
  2 in total

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