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 in | PloS one Vol. 12; no. 3; p. e0174614 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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Public Library of Science
27.03.2017
Public Library of Science (PLoS) |
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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. |
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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 |
AuthorAffiliation_xml | – name: 1 Department of Laboratory Medicine Lund, Section of Medical Microbiology, Lund University, Medicon Village, Lund, Sweden – name: 2 Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden – name: 3 KTH Royal Institute of Technology, Science for Life Laboratory, School of Biotechnology, Division of Gene Technology, Stockholm, Sweden – name: Agricultural University of Athens, GREECE |
Author_xml | – sequence: 1 givenname: Sepideh orcidid: 0000-0002-7587-8040 surname: Lamei fullname: Lamei, Sepideh – sequence: 2 givenname: Yue O. O. surname: Hu fullname: Hu, Yue O. O. – sequence: 3 givenname: Tobias C. surname: Olofsson fullname: Olofsson, Tobias C. – sequence: 4 givenname: Anders F. surname: Andersson fullname: Andersson, Anders F. – sequence: 5 givenname: Eva surname: Forsgren fullname: Forsgren, Eva – sequence: 6 givenname: Alejandra surname: Vásquez fullname: Vásquez, Alejandra |
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ContentType | Journal Article |
Copyright | COPYRIGHT 2017 Public Library of Science 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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CorporateAuthor | Lunds universitet Department of Laboratory Medicine Medicinska fakulteten Lund University Faculty of Medicine Institutionen för laboratoriemedicin Sveriges lantbruksuniversitet |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 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. |
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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 |
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