Lamei, Sepideh and Hu, Yue O. O. and Olofsson, Tobias and Andersson, Anders F. and Forsgren, Eva and Vasquez, Alejandra
(2017).
Improvement of identification methods for honeybee specific Lactic Acid Bacteria; future approaches.
PloS one. 12
, 1-12
[Journal article]
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Available under License Creative Commons Attribution. 1MB |
Official URL: https://doi.org/10.1371/journal.pone.0174614
Abstract
Honeybees face many parasites and pathogens and consequently rely on a diverse set of individual and group-level defenses to prevent disease. The crop microbiota of Apis mellifera, composed of 13 Lactic Acid Bacterial (LAB) species within the genera Lactobacillus and Bifidobacterium, form a beneficial symbiotic relationship with each other and the honeybee to protect their niche and their host. Possibly playing a vital role in honeybee health, it is important that these honeybee specific Lactic Acid Bacterial (hbs-LAB) symbionts can be correctly identified, isolated and cultured, to further investigate their health promoting properties. We have previously reported successful identification to the strain level by culture-dependent methods and we recently sequenced and annotated the genomes of the 13 hbs-LAB. However, the hitherto applied techniques are unfortunately very time consuming, expensive and not ideal when analyzing a vast quantity of samples. In addition, other researchers have constantly failed to identify the 13 hbs-LAB from honeybee samples by using inadequate media and/or molecular techniques based on 16S rRNA gene sequencing with insufficient discriminatory power. The aim of this study was to develop better and more suitable methods for the identification and cultivation of hbs-LAB. We compared currently used bacterial cultivation media and could for the first time demonstrate a significant variation in the hbs-LAB basic requirements for optimal growth. We also present a new bacterial identification approach based on amplicon sequencing of a region of the 16S rRNA gene using the Illumina platform and an error correction software that can be used to successfully differentiate and rapidly identify the 13 hbs-LAB to the strain level.
Authors/Creators: | Lamei, Sepideh and Hu, Yue O. O. and Olofsson, Tobias and Andersson, Anders F. and Forsgren, Eva and Vasquez, Alejandra | ||||||
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Title: | Improvement of identification methods for honeybee specific Lactic Acid Bacteria; future approaches. | ||||||
Series/Journal: | PloS one (1932-6203) | ||||||
Year of publishing : | 2017 | ||||||
Volume: | 12 | ||||||
Page range: | 1-12 | ||||||
Number of Pages: | 12 | ||||||
Publisher: | Public Library of Science | ||||||
ISSN: | 1932-6203 | ||||||
Language: | English | ||||||
Publication Type: | Journal article | ||||||
Refereed: | Yes | ||||||
Article category: | Scientific peer reviewed | ||||||
Version: | Published version | ||||||
Copyright: | Creative Commons: Attribution 4.0 | ||||||
Full Text Status: | Public | ||||||
Agris subject categories.: | L Animal production > L72 Pests of animals | ||||||
Subjects: | (A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Microbiology (Microbiology in the medical area to be 30109) | ||||||
Agrovoc terms: | honey bees, lactic acid bacteria, parasites | ||||||
Keywords: | honey bees, Apis mellifera, Lactic Acid Bacteria, parasites, pathogenes, symbiosis | ||||||
URN:NBN: | urn:nbn:se:slu:epsilon-e-4550 | ||||||
Permanent URL: | http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-4550 | ||||||
Additional ID: |
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ID Code: | 14738 | ||||||
Faculty: | NJ - Fakulteten för naturresurser och jordbruksvetenskap | ||||||
Department: | (NL, NJ) > Dept. of Ecology (S) > Dept. of Ecology | ||||||
Deposited By: | SLUpub Connector | ||||||
Deposited On: | 11 Dec 2017 09:46 | ||||||
Metadata Last Modified: | 03 Jun 2020 13:40 |
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