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Bacterial communities associated with honeybee food stores are correlated with land use

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Bacterial communities associated with honeybee food stores are correlated with land use. / Donkersley, Philip William; Rhodes, Glenn; Pickup, Roger William et al.
In: Ecology and Evolution, Vol. 8, No. 10, 05.2018, p. 4743-4756.

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Donkersley PW, Rhodes G, Pickup RW, Jones KC, Wilson K. Bacterial communities associated with honeybee food stores are correlated with land use. Ecology and Evolution. 2018 May;8(10):4743-4756. Epub 2018 Apr 16. doi: 10.1002/ece3.3999

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Donkersley, Philip William ; Rhodes, Glenn ; Pickup, Roger William et al. / Bacterial communities associated with honeybee food stores are correlated with land use. In: Ecology and Evolution. 2018 ; Vol. 8, No. 10. pp. 4743-4756.

Bibtex

@article{128c948d38784e9291ae075cad051ef8,
title = "Bacterial communities associated with honeybee food stores are correlated with land use",
abstract = "Microbial communities, associated with almost all metazoans, can be inherited from the environment. Although the honeybee (Apis mellifera L.) gut microbiome is well documented, studies of the gut focus on just a small component of the bee microbiome. Other key areas such as the comb, propolis, honey, and stored pollen (bee bread) are poorly understood. Furthermore, little is known about the relationship between the pollinator microbiome and its environment. Here we present a study of the bee bread microbiome and its relationship with land use. We estimated bacterial community composition using both Illumina MiSeq DNA sequencing and denaturing gradient gel electrophoresis (DGGE). Illumina was used to gain a deeper understanding of precise species diversity across samples. DGGE was used on a larger number of samples where the costs of MiSeq had become prohibitive and therefore allowed us to study a greater number of bee breads across broader geographical axes. The former demonstrates bee bread comprises, on average, 13 distinct bacterial phyla; Bacteroidetes, Firmicutes, Alpha‐proteobacteria, Beta‐proteobacteria, and Gamma‐proteobacteria were the five most abundant. The most common genera were Pseudomonas, Arsenophonus, Lactobacillus, Erwinia, and Acinetobacter. DGGE data show bacterial community composition and diversity varied spatially and temporally both within and between hives. Land use data were obtained from the 2007 Countryside Survey. Certain habitats, such as improved grasslands, are associated with low diversity bee breads, meaning that these environments may be poor sources of bee‐associated bacteria. Decreased bee bread bacterial diversity may result in reduced function within hives. Although the dispersal of microbes is ubiquitous, this study has demonstrated landscape‐level effects on microbial community composition.",
keywords = "16S rRNA , bacterial community, DGGE , honeybees, Illumina MiSeq , land use",
author = "Donkersley, {Philip William} and Glenn Rhodes and Pickup, {Roger William} and Jones, {Kevin Christopher} and Kenneth Wilson",
year = "2018",
month = may,
doi = "10.1002/ece3.3999",
language = "English",
volume = "8",
pages = "4743--4756",
journal = "Ecology and Evolution",
issn = "2045-7758",
publisher = "John Wiley and Sons Ltd",
number = "10",

}

RIS

TY - JOUR

T1 - Bacterial communities associated with honeybee food stores are correlated with land use

AU - Donkersley, Philip William

AU - Rhodes, Glenn

AU - Pickup, Roger William

AU - Jones, Kevin Christopher

AU - Wilson, Kenneth

PY - 2018/5

Y1 - 2018/5

N2 - Microbial communities, associated with almost all metazoans, can be inherited from the environment. Although the honeybee (Apis mellifera L.) gut microbiome is well documented, studies of the gut focus on just a small component of the bee microbiome. Other key areas such as the comb, propolis, honey, and stored pollen (bee bread) are poorly understood. Furthermore, little is known about the relationship between the pollinator microbiome and its environment. Here we present a study of the bee bread microbiome and its relationship with land use. We estimated bacterial community composition using both Illumina MiSeq DNA sequencing and denaturing gradient gel electrophoresis (DGGE). Illumina was used to gain a deeper understanding of precise species diversity across samples. DGGE was used on a larger number of samples where the costs of MiSeq had become prohibitive and therefore allowed us to study a greater number of bee breads across broader geographical axes. The former demonstrates bee bread comprises, on average, 13 distinct bacterial phyla; Bacteroidetes, Firmicutes, Alpha‐proteobacteria, Beta‐proteobacteria, and Gamma‐proteobacteria were the five most abundant. The most common genera were Pseudomonas, Arsenophonus, Lactobacillus, Erwinia, and Acinetobacter. DGGE data show bacterial community composition and diversity varied spatially and temporally both within and between hives. Land use data were obtained from the 2007 Countryside Survey. Certain habitats, such as improved grasslands, are associated with low diversity bee breads, meaning that these environments may be poor sources of bee‐associated bacteria. Decreased bee bread bacterial diversity may result in reduced function within hives. Although the dispersal of microbes is ubiquitous, this study has demonstrated landscape‐level effects on microbial community composition.

AB - Microbial communities, associated with almost all metazoans, can be inherited from the environment. Although the honeybee (Apis mellifera L.) gut microbiome is well documented, studies of the gut focus on just a small component of the bee microbiome. Other key areas such as the comb, propolis, honey, and stored pollen (bee bread) are poorly understood. Furthermore, little is known about the relationship between the pollinator microbiome and its environment. Here we present a study of the bee bread microbiome and its relationship with land use. We estimated bacterial community composition using both Illumina MiSeq DNA sequencing and denaturing gradient gel electrophoresis (DGGE). Illumina was used to gain a deeper understanding of precise species diversity across samples. DGGE was used on a larger number of samples where the costs of MiSeq had become prohibitive and therefore allowed us to study a greater number of bee breads across broader geographical axes. The former demonstrates bee bread comprises, on average, 13 distinct bacterial phyla; Bacteroidetes, Firmicutes, Alpha‐proteobacteria, Beta‐proteobacteria, and Gamma‐proteobacteria were the five most abundant. The most common genera were Pseudomonas, Arsenophonus, Lactobacillus, Erwinia, and Acinetobacter. DGGE data show bacterial community composition and diversity varied spatially and temporally both within and between hives. Land use data were obtained from the 2007 Countryside Survey. Certain habitats, such as improved grasslands, are associated with low diversity bee breads, meaning that these environments may be poor sources of bee‐associated bacteria. Decreased bee bread bacterial diversity may result in reduced function within hives. Although the dispersal of microbes is ubiquitous, this study has demonstrated landscape‐level effects on microbial community composition.

KW - 16S rRNA

KW - bacterial community

KW - DGGE

KW - honeybees

KW - Illumina MiSeq

KW - land use

U2 - 10.1002/ece3.3999

DO - 10.1002/ece3.3999

M3 - Journal article

VL - 8

SP - 4743

EP - 4756

JO - Ecology and Evolution

JF - Ecology and Evolution

SN - 2045-7758

IS - 10

ER -