Proteome analysis reveals a strong correlation between olfaction and pollen foraging preference in honeybees

Guo, Yuan; Fu, Baochun; Qin, Guojie; Huai-lei, Song; Wu, Wenqing; Shao, Youquan; Altaye, Solomon Zewdu; Yu, Linsheng

doi:10.1016/j.ijbiomac.2018.10.140

Cited by 4 publications

(3 citation statements)

References 70 publications

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“…In contrary, Clermont et al (2015) found no relationship between the territorial distribution of oilseed rape fields and honeybee losses . The pesticide contamination of rapeseed pollen may be of a great importance in honeybee risk assessment because bees have a very strong foraging preference for rapeseed pollen due to volatile compounds . Additionally, rapeseed pollen is the first major food for bees after winter, and they are vulnerable in that period of the year …”

Section: Results and Discussionmentioning

confidence: 99%

Determination of Pesticides in Bee Pollen: Validation of a Multiresidue High-Performance Liquid Chromatography-Mass Spectrometry/Mass Spectrometry Method and Testing Pollen Samples of Selected Botanical Origin

Végh

Sörös

Majercsik

et al. 2022

J. Agric. Food Chem.

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Pollen is a source of nutrients for honeybees (Apis mellifera L.) and suitable for human consumption as well. In our research, a multiresidue method for pesticide determination was developed and validated for the bee pollen matrix. 247 components met the validation criteria for limit of detection, limit of quantification, linearity, and interday repeatability. Average recoveries varied between 70 and 120% except for 14 analytes, which were corrected during on-going validation. The matrix effect was strong for certain analytes, which required the use of matrix-matched calibration. The pesticide residue profiles of 21 pollen samples of different botanical origins were identified by the developed method. The most common active substances were chlorpyrifos, thiacloprid, and acetamiprid. Some products contained pesticides that are already banned. According to our estimates, the tested samples do not pose an acute risk on honeybees, although the combination of pesticides may cause synergistic toxicity.

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Section: Results and Discussionmentioning

confidence: 99%

Determination of Pesticides in Bee Pollen: Validation of a Multiresidue High-Performance Liquid Chromatography-Mass Spectrometry/Mass Spectrometry Method and Testing Pollen Samples of Selected Botanical Origin

Végh

Sörös

Majercsik

et al. 2022

J. Agric. Food Chem.

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“…Based on highly selected A. m. ligustica strains, it has already been demonstrated that RpL35, identified in the SL_CH <10% -specific island, controls royal jelly production and larval growth (Ararso et al, 2018). Furthermore, the differential expression of Ndufs1, found in a CS_CH <10% -specific ROH island, may also increase foraging behavior (Guo et al, 2019), and consequently, productivity. Telfer & Kunkel, 1991).…”

Section: K=2 K=7mentioning

confidence: 99%

Identification of runs of homozygosity in Western honey bees (Apis mellifera) using whole‐genome sequencing data

Gmel

Guichard

Dainat

et al. 2023

Ecology and Evolution

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Runs of homozygosity (ROH) are continuous homozygous segments that arise through the transmission of haplotypes that are identical by descent. The length and distribution of ROH segments provide insights into the genetic diversity of populations and can be associated with selection signatures. Here, we analyzed reconstructed whole‐genome queen genotypes, from a pool‐seq data experiment including 265 Western honeybee colonies from Apis mellifera mellifera and Apis mellifera carnica. Integrating individual ROH patterns and admixture levels in a dynamic population network visualization allowed us to ascertain major differences between the two subspecies. Within A. m. mellifera, we identified well‐defined substructures according to the genetic origin of the queens. Despite the current applied conservation efforts, we pinpointed 79 admixed queens. Genomic inbreeding (FROH) strongly varied within and between the identified subpopulations. Conserved A. m. mellifera from Switzerland had the highest mean FROH (3.39%), while queens originating from a conservation area in France, which were also highly admixed, showed significantly lower FROH (0.45%). The majority of A. m. carnica queens were also highly admixed, except 12 purebred queens with a mean FROH of 2.33%. Within the breed‐specific ROH islands, we identified 14 coding genes for A. m. mellifera and five for A. m. carnica, respectively. Local adaption of A. m. mellifera could be suggested by the identification of genes involved in the response to ultraviolet light (Crh‐BP, Uvop) and body size (Hex70a, Hex70b), while the A. m. carnica specific genes Cpr3 and Cpr4 are most likely associated with the lighter striping pattern, a morphological phenotype expected in this subspecies. We demonstrated that queen genotypes derived from pooled workers are useful tool to unravel the population dynamics in A. mellifera and provide fundamental information to conserve native honey bees.

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“…However, most of these studies have only focused on a single gene or protein related to the olfaction of insects, especially odorant‐binding proteins (OBPs; Brito, Moreira, & Melo, 2016; Sun, Xiao, & Carlson, 2018; Venthur & Zhou, 2018; Zhu et al, 2016). Most of the information about genes and proteins related to the olfactory system in insects has been obtained by biochemical genetic experiments and bioinformatic analyses (Crava, Sassù, Tait, Becher, & Anfora, 2019; Guo et al, 2019; Wu et al, 2017; Zhao, Li, & Miao, 2015; Zheng, Xia, & Keyhani, 2020).…”

Section: Introductionmentioning

confidence: 99%

Construction and analysis of the protein–protein interaction network for the olfactory system of the silkworm Bombyx mori

Xin

Zhang

2020

Arch Insect Biochem Physiol

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Olfaction plays an essential role in feeding and information exchange in insects. Previous studies on the olfaction of silkworms have provided a wealth of information about genes and proteins, yet, most studies have only focused on a single gene or protein related to the insect's olfaction. The aim of the current study is to determine key proteins in the olfactory system of the silkworm, and further understand proteinprotein interactions (PPIs) in the olfactory system of Lepidoptera. To achieve this goal, we integrated Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and network analyses. Furthermore, we selected 585 olfactory-related proteins and constructed a (PPI) network for the olfactory system of the silkworm. Network analysis led to the identification of several key proteins, including GSTz1,

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Proteome analysis reveals a strong correlation between olfaction and pollen foraging preference in honeybees

Cited by 4 publications

References 70 publications

Determination of Pesticides in Bee Pollen: Validation of a Multiresidue High-Performance Liquid Chromatography-Mass Spectrometry/Mass Spectrometry Method and Testing Pollen Samples of Selected Botanical Origin

Determination of Pesticides in Bee Pollen: Validation of a Multiresidue High-Performance Liquid Chromatography-Mass Spectrometry/Mass Spectrometry Method and Testing Pollen Samples of Selected Botanical Origin

Identification of runs of homozygosity in Western honey bees (Apis mellifera) using whole‐genome sequencing data

Construction and analysis of the protein–protein interaction network for the olfactory system of the silkworm Bombyx mori

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