Differential gene expression of two extreme honey bee (<i>Apis mellifera</i>) colonies showing varroa tolerance and susceptibility

Jiang, Sanjie; Robertson, Thomas; Mostajeran, M.; Robertson, A.J.; Qiu, Xiao‐Yang

doi:10.1111/imb.12217

Cited by 17 publications

(19 citation statements)

References 29 publications

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“…Using DNA microarray and real‐time quantitative polymerase chain reaction analyses to identify differentially expressed genes in tolerant and susceptible colonies at the pupa and adult stages, Jiang et al . () identified genes in tolerant bees and categorized them into several groups based on their molecular function, such as olfactory signaling, detoxification processes, exoskeleton formation, protein degradation, and long‐chain fatty acid metabolism, suggesting that these biological processes play roles in conferring tolerance to Varroa.…”

Section: Discussionmentioning

confidence: 99%

“…Using DNA microarray and real-time quantitative polymerase chain reaction analyses to identify differentially expressed genes in tolerant and susceptible colonies at the pupa and adult stages, Jiang et al (2016) identified genes in Comparative heat map showing amplifications (green) and deletions (red) for each of the Algerian bee samples determined using both array comparative genomic hybridization (CGH) and next generation sequencing (NGS). Chromosome (chr) numbers are shown at the periphery of the chromosome ideograms.…”

Section: Discussionmentioning

confidence: 99%

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Whole‐genome sequencing of north African honey bee Apis mellifera intermissa to assess its beneficial traits

Haddad¹,

Adjlane

Saini³

et al. 2018

Entomological Research

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Apis mellifera intermissa is the native honey bee subspecies of Algeria, and approximates a position among bee races between tropical African and European breeds. This bee is very aggressive, nervous, and produces many broods with many queen cells. It is prone to swarming and exhibits defensive behavior and an abundant use of propolis. In the present study, pure line samples of A. m. intermissa collected from Blida (Algeria; 36°31′N, 2°58′E) with preferable Varroa resistance confirmed their through hygienic cleaning behavior and high temperature adaptation, were selected as a reference sample for full‐genome sequencing. Array comparative genomic hybridization (aCGH) was also performed on the same samples to validate genomic variations. These analyses will be an important source of information for the honey bee research community worldwide. The 240‐Mb genome was annotated with 26 355 transcripts and analyzed. Analysis of 133 pathways indicated an abundance of pathways related to metabolic processes, the biosynthesis of secondary metabolites, and biodegradation of xenobiotics . In addition to simple sequence repeat markers, variant analysis for beneficial trait genes, transposons, and phylogeny was performed. The mitochondrial genome and genes involved in immunity and chemoreception were identified and compared with those from other sequenced insect models. The indels obtained by sequencing were validated by aCGH. The genome sequence, annotation, and analysis of A. m. intermissa provides new understanding of the function of bee genes, and comparison with the genome of other A. mellifera subspecies promises to yield insights into the evolution of the adaptations to high temperature and resistance to Varroa parasite infestation.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Whole‐genome sequencing of north African honey bee Apis mellifera intermissa to assess its beneficial traits

Haddad¹,

Adjlane

Saini³

et al. 2018

Entomological Research

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“…This is accomplished through recurrent natural selection of survivor colonies, in the absence of synthetic miticides. The project selects for quantitative traits, including honey production, wintering ability, mite tolerance, and general colony health 25,26 .…”

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confidence: 99%

“…A number of molecular approaches, including at the levels of the transcriptome [26][27][28][29] and proteome 30,31 , have been applied to honeybees in efforts to understand the cellular mechanisms of Varroa resistance as well as to identify biomarkers of these traits. This is a daunting task due to the potential complexities of the molecular mechanisms underlying these phenotypes, coupled with the challenges of deciphering biology within a mixed genetic population.…”

mentioning

confidence: 99%

Kinome Analysis of Honeybee (Apis mellifera L.) Dark-Eyed Pupae Identifies Biomarkers and Mechanisms of Tolerance to Varroa Mite Infestation

Robertson¹,

Scruten

Mostajeran³

et al. 2020

Sci Rep

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the mite Varroa destructor is a serious threat to honeybee populations. Selective breeding for Varroa mite tolerance could be accelerated by biomarkers within individual bees that could be applied to evaluate a colony phenotype. Previously, we demonstrated differences in kinase-mediated signaling between bees from colonies of extreme phenotypes of mite susceptibility. We expand these findings by defining a panel of 19 phosphorylation events that differ significantly between individual pupae from multiple colonies with distinct Varroa mite tolerant phenotypes. the predictive capacity of these biomarkers was evaluated by analyzing uninfested pupae from eight colonies representing a spectrum of mite tolerance. The pool of biomarkers effectively discriminated individual pupae on the basis of colony susceptibility to mite infestation. Kinome analysis of uninfested pupae from mite tolerant colonies highlighted an increased innate immune response capacity. The implication that differences in innate immunity contribute to mite susceptibility is supported by the observation that induction of innate immune signaling responses to infestation is compromised in pupae of the susceptible colonies. collectively, biomarkers within individual pupae that are predictive of the susceptibility of colonies to mite infestation could provide a molecular tool for selective breeding of tolerant colonies.Prioritizing bees at the dark-eyed pupae stage of development minimizes potential signaling variability arising from different castes or environmental influences in adult bees. All samples were analyzed within the same kinome assay to minimize technical effects due to inter-assay variability. Individual frozen pupae were placed in a sealed plastic bag in the presence of 300 μl of lysis buffer 25 . The pupae were pulverized with a rubber mallet and the resulting suspension was centrifuged at 10,000 × g for 10 min. Supernatants were used for kinome analysis 25 . Data analysis. The dataset for each array contains signal intensities associated with the nine technical replicates for each of the 299 peptides spotted on each array. Kinome data were processed through PIIKA 2, a pipeline for processing kinome array data 45 .Identification of peptide biomarkers of varroa mite susceptibility. A one-sided paired student's t-test of normal distribution was used to compare normalized signal intensity values for each of the 299 peptides of individual pupae (n = 5) representing the two high and low colony phenotypes of Varroa mite susceptibility. Specifically, mite tolerance was represented by pupae from the S88 (n = 3) and S23A (n = 2) colonies while mite susceptibility was represented by pupae from the G4 (n = 3) and S88-4 (n = 2) colonies in the absence of mite infestation. Peptides with significant (P-value < 0.01) differences in levels of phosphorylation between pupae of the two phenotypes were classified as potential biomarkers.

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“…This widespread monitoring may help to identify numerous loci with a direct impact on the resistance of colonies of western honey bee against the Varroa mite. Many loci linked to diverse resistance traits have already been identified (Arechavaleta-Velasco et al, 2012;Behrens et al, 2011;Broeckx et al, 2019;Guarna et al, 2017;Hamiduzzaman et al, 2017;Harpur et al, 2019;Hu et al, 2016;Jiang et al, 2016;Lapidge et al, 2002;Morfin et al, 2019a;Oxley et al, 2010;Spötter et al, 2016;Spötter et al, 2012;Tsuruda et al, 2012;Zakar et al, 2014). Even though each of these studies mentions the possibility of using marker-assisted or genomic selection in honey bee breeding, to the best of our knowledge, the identified sequences have not been routinely implemented in selection programmes.…”

Section: Integrating Genomic Datamentioning

confidence: 99%

Three Decades of Selecting Honey Bees that Survive Infestations by the Parasitic Mite <em>Varroa destructor</em>: Outcomes, Limitations and Strategy

Guichard¹,

Dietemann²,

Neuditschko³

et al. 2020

Preprint

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Despite the implementation of control strategies, the invasive parasitic mite Varroa destructor remains one of the principal causes of honey bee (Apis mellifera) colony losses in numerous countries. For this reason, the parasite represents a serious threat to beekeeping and to agro-ecosystems that benefit from the pollination services provided by honey bees. Numerous selection programmes have been initiated over the last three decades with the aim of promoting the establishment of balance in the host–parasite relationship and, thus, helping European honey bees to survive in the presence of the parasite without the need for acaricide treatments. Such programmes have focused on either selective breeding for putative resistance traits or natural selection. To date, no clear overview of these attempts has been available, which has prevented building on past successes or failures and, therefore, hindered the development of a sustainable strategy for solving the V. destructor problem. In the present study, we review past and current selection strategies, report on their outcomes and discuss their limitations. Based on this state-of-the-art knowledge, we propose a strategy for increasing response to selection and colony survival against V. destructor infestations. Developing in-depth knowledge regarding the selected traits, optimising selection programmes and communicating their outcomes are all crucial to our efforts to establish a balanced relationship between the invasive parasite and its new host.

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Differential gene expression of two extreme honey bee (Apis mellifera) colonies showing varroa tolerance and susceptibility

Cited by 17 publications

References 29 publications

Whole‐genome sequencing of north African honey bee Apis mellifera intermissa to assess its beneficial traits

Whole‐genome sequencing of north African honey bee Apis mellifera intermissa to assess its beneficial traits

Kinome Analysis of Honeybee (Apis mellifera L.) Dark-Eyed Pupae Identifies Biomarkers and Mechanisms of Tolerance to Varroa Mite Infestation

Three Decades of Selecting Honey Bees that Survive Infestations by the Parasitic Mite <em>Varroa destructor</em>: Outcomes, Limitations and Strategy

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