Improvement of identification methods for honeybee specific Lactic Acid Bacteria; future approaches

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 benefici...

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Published inPloS one Vol. 12; no. 3; p. e0174614
Main Authors Lamei, Sepideh, Hu, Yue O. O., Olofsson, Tobias C., Andersson, Anders F., Forsgren, Eva, Vásquez, Alejandra
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 27.03.2017
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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.
AbstractList 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.
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.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.
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 culturedependent 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.
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.
Audience Academic
Author Lamei, Sepideh
Hu, Yue O. O.
Vásquez, Alejandra
Forsgren, Eva
Olofsson, Tobias C.
Andersson, Anders F.
AuthorAffiliation 3 KTH Royal Institute of Technology, Science for Life Laboratory, School of Biotechnology, Division of Gene Technology, Stockholm, Sweden
1 Department of Laboratory Medicine Lund, Section of Medical Microbiology, Lund University, Medicon Village, Lund, Sweden
2 Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden
Agricultural University of Athens, GREECE
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– name: Agricultural University of Athens, GREECE
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ContentType Journal Article
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2017 Lamei et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
2017 Lamei et al 2017 Lamei et al
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– notice: 2017 Lamei et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: 2017 Lamei et al 2017 Lamei et al
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Competing Interests: I have read the journal's policy and two of the authors of this manuscript have the following competing interests: Alejandra Vásquez and Tobias C. Olofsson hold stocks and are funders of a Lund University spin-off company called ConCellae. They are inventors of one granted patent with number WO 2008/136730 and four patents pending regarding commercial applications of the lactic acid bacteria from honeybees. This company has developed products based on these bacteria. However, ConCellae has not been involved in any of the research activities concerning the present study. These do not alter our adherence to PLOS ONE policies on sharing data and materials.
Conceptualization: SL YOOH TCO AFA EF AV.Formal analysis: SL YOOH TCO AFA EF AV.Investigation: SL YOOH TCO AFA EF AV.Methodology: SL YOOH TCO AFA EF AV.Project administration: SL YOOH TCO AFA EF AV.Resources: SL YOOH TCO AFA EF AV.Software: SL YOOH TCO AFA EF AV.Supervision: AV EF AFA.Validation: SL YOOH TCO AFA EF AV.Visualization: SL YOOH TCO AFA EF AV.Writing – original draft: SL YOOH TCO AFA EF AV.
ORCID 0000-0002-7587-8040
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Snippet Honeybees face many parasites and pathogens and consequently rely on a diverse set of individual and group-level defenses to prevent disease. The crop...
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proquest
gale
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Open Access Repository
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StartPage e0174614
SubjectTerms Acids
Agricultural production
Animals
Bacteria
Basic Medicine
Bees
Bees - microbiology
Bifidobacterium - genetics
Bifidobacterium - isolation & purification
Biology and Life Sciences
Biotechnology
Carbohydrates
Cultivation
Culture media
Deoxyribonucleic acid
DNA
DNA, Bacterial - genetics
Error correction
European honeybee
Food
Gene sequencing
Genes
Genetic aspects
Genomes
Genomics
Health promotion
Honey
honeybee
Identification and classification
Identification methods
Laboratories
Lactic acid
Lactic Acid Bacteria
Lactobacillaceae - genetics
Lactobacillaceae - isolation & purification
Media
Media (culture)
Medical and Health Sciences
Medicin och hälsovetenskap
Medicine and Health Sciences
Medicinska och farmaceutiska grundvetenskaper
Microbiology
Microbiology in the Medical Area
Microbiota
Microorganisms
Mikrobiologi
Mikrobiologi inom det medicinska området
Parasites
Physical Sciences
Physiological aspects
Research and Analysis Methods
RNA, Ribosomal, 16S - genetics
rRNA 16S
Sequence Analysis, DNA
Studies
Symbionts
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Title Improvement of identification methods for honeybee specific Lactic Acid Bacteria; future approaches
URI https://www.ncbi.nlm.nih.gov/pubmed/28346815
https://www.proquest.com/docview/1882264650
https://www.proquest.com/docview/1881773527
https://pubmed.ncbi.nlm.nih.gov/PMC5367889
https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-206698
https://lup.lub.lu.se/record/3b661c16-9a30-43b1-a074-9684a4480127
oai:portal.research.lu.se:publications/3b661c16-9a30-43b1-a074-9684a4480127
https://res.slu.se/id/publ/91807
https://doaj.org/article/82ae1c62ee1d4968a89d9f82c8cda8e0
http://dx.doi.org/10.1371/journal.pone.0174614
Volume 12
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