Abundant small RNAs in the reproductive tissues of the honey bee, Apis mellifera, are a plausible mechanism for epigenetic inheritance and parental manipulation of gene expression
Ontology highlight
ABSTRACT:
ORGANISM(S): Apis mellifera
PROVIDER: GSE182720 | GEO | 2022/04/13
REPOSITORIES: GEO
Similar Datasets
Project description:Honey bee Apis mellifera Metagenome
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Project description:Apis mellifera intermissa (Buttel-Reepen, 1906) is the native honeybee subspecies of Algeria. A.m.intermissa occurs in Tunisia, Algeria and Morocco, between the Atlas and the Mediterranean and Atlantic coasts (Ruttner, 1988), in an area of more than 2500 km long. Intermissa indicates the position through this bee races between tropical Africa and European breeds (Peyvel, 1994). The settlement area of the Tellian extends from Tunisia to Morocco. Ruttner et al (1978) describes the pure Tellian. It is a black hair of his coat poverty brings out the black color. It is a small size, there are some times light illumination on the tergites. This bee is very aggressive, nervous, sick to take part, as swarms huge fall and even produced many brood and can build up to one hundred queen cells (Le Conte, 2002). A.m.intermissa is prone to swarming, shows an aggressive behaviour and an abundant use of propolis (Ruttner 1988). This study is part of the project funded by the USAID Grant No. TA-MOU-08-M29-075.
2016-02-01 | GSE45464 | GEO
Project description:Transcriptome sequencing has become the main methodology for analyzing the relationship between genes and characteristics of interests, particularly those associated with diseases and economic traits. Because of its functional superiority, commercial royal jelly (RJ) and its production are major areas of focus in the field of apiculture. Multiple lines of evidence have demonstrated that many factors affect RJ output by activating or inhibiting various target genes and signaling pathways to augment their efficient replication. The coding sequences made available by the Honey Bee Genome Sequencing Consortium have permitted a pathway-based approach for investigating the development of the hypopharyngeal glands (HGs). In the present study, 3573941, 3562730, 3551541, 3524453, and 3615558 clean reads were obtained from the HGs of five full-sister honey bee samples using Solexa RNA sequencing technology. These reads were then assembled into 18378, 17785, 17065, 17105, and 17995 unigenes, respectively, and aligned to the DFCI Honey Bee Gene Index database. The differentially expressed genes (DEGs) data were also correlated with detailed morphological data for HGs acini. The results identify areas that warrant further study, including those that can be used to improve honey bee breeding techniques and help ensure stable yields of RJ with high quality traits.
2014-05-20 | GSE47136 | GEO
Project description:The honey bee is a key pollinator in many agricultural operations as well as a model organism for studying the genetics and evolution of social behaviour. The Apis mellifera genome has been sequenced and annotated twice over, enabling proteomics and functional genomics methods for probing relevant aspects of their biology. One troubling trend that emerged from proteomic analyses is that honey bee peptide samples consistently result in lower peptide identification rates compared to other organisms. This suggests that the genome annotation can be improved, or atypical biological processes are interfering with the mass spectrometry workflow. First, we tested whether high levels of polymorphisms could explain some of the missed identifications by searching spectra against the reference proteome (OGSv3.2) versus a customized proteome of a single honey bee, but our results indicate that this contribution was minor. Likewise, error-tolerant peptide searches lead us to eliminate unexpected post-translational modifications as a major factor in missed identifications. We then used a proteogenomic approach with ~1,500 raw files to search for missing genes, new exons, and revive discarded annotations and identified over 2,000 new coding regions. These results will contribute to a more comprehensive genome annotation and facilitate continued research on this important insect.
2016-01-18 | PXD002275 | Pride
Project description:It is estimated that animals pollinate 87.5% of flowering plants worldwide and that managed honey bees (Apis mellifera) account for 30-50% of this ecosystem service to agriculture. In addition to their important role as pollinators, honey bees are well-established insect models for studying learning and memory, behaviour, caste differentiation, epigenetic mechanisms, olfactory biology, sex determination and eusociality. Despite their importance to agriculture, knowledge of honey bee biology lags behind many other livestock species. In this study we have used scRNA-Seq to map cell types to different developmental stages of the worker honey bee (prepupa at day 11 and pupa at day 15), and sought to determine their gene signatures and thereby provide potential functional annotations for as yet poorly characterized genes. To identify cell type populations we examined the cell-to-cell network based on the similarity of the single-cells’ transcriptomic profiles. Grouping similar cells together we identified 63 different cell clusters of which 15 clusters were identifiable at both stages. To determine genes associated with specific cell populations or with a particular biological process involved in honey bee development, we used gene co-expression analysis. We combined this analysis with literature mining, the honey bee protein atlas and Gene Ontology analysis to determine cell cluster identity. Of the cell clusters identified, 9 were related to the nervous system, 7 to the fat body, 14 to the cuticle, 5 to muscle, 4 to compound eye, 2 to midgut, 2 to hemocytes and 1 to malpighian tubule/pericardial nephrocyte. To our knowledge, this is the first whole single cell atlas of honey bees at any stage of development and demonstrates the potential for further work to investigate their biology of at the cellular level.
2023-07-18 | E-MTAB-13158 | biostudies-arrayexpress
Project description:The microsporidia Nosema ceranae are intracellular parasites that proliferate in the midgut epithelial cells of honey bees (Apis mellifera). To analyze the pathological effects of those microsporidia, we orally infected honey bee workers 7 days after their emergence. Bees were flash frozen 15 days after the infection. Then, the effects on the gut ventriculi were analyzed and compared to non-infected (control) bees.
2012-05-23 | GSE25455 | GEO
Project description:Adult honey bee queens and workers drastically differ in ovary size. This adult ovary phenotype difference becomes established during the last two larval instars, when massive programmed cell death in the ovaries of worker larvae leads to the degeneration and removal of 95-99% of the ovariole anlagen. The higher juvenile hormone (JH) levels in queen larvae protect their ovaries against such degeneration. To gain insights into the molecular architecture underlying this divergence critical for adult caste fate we performed a microarray analysis contrasting RNA extracts from fourth and early fifth instar queen and worker ovaries. While for the fourth instar we found differential expression (log2FC > 1.0) for only nine genes, the number of differentially represented transcripts (DRTs) increased to 56 in early fifth instar ovaries. From these, 18 had their expression levels further analyzed by real-time PCR (RT-qPCR). For 13 of these the expression differed significantly between queen and worker ovaries at least one time point in development, and interestingly, genes with enzyme functions were overexpressed in workers, while genes related to transcription and signaling were so in queens. For the RT-qPCR confirmed genes we further analyzed their response to JH, revealing a significant up-regulation for two genes, one encoding a short chain dehydrogenase (SDR) and the other heat shock protein 90 (Hsp90). Five other genes, including Hsp60 and hexamerin 70b, were significantly down-regulated by JH. As SDR genes have previously come up as differentially expressed in different transcriptome assays in honey bee larvae, and heat shock proteins are involved in hormone responses, these are interesting candidates for further functional assays.
2016-10-06 | GSE81118 | GEO
Project description:Transcriptome sequencing has become the main methodology for analyzing the relationship between genes and characteristics of interests, particularly those associated with diseases and economic traits. Because of its functional superiority, commercial royal jelly (RJ) and its production are major areas of focus in the field of apiculture. Multiple lines of evidence have demonstrated that many factors affect RJ output by activating or inhibiting various target genes and signaling pathways to augment their efficient replication. The coding sequences made available by the Honey Bee Genome Sequencing Consortium have permitted a pathway-based approach for investigating the development of the hypopharyngeal glands (HGs). In the present study, 3573941, 3562730, 3551541, 3524453, and 3615558 clean reads were obtained from the HGs of five full-sister honey bee samples using Solexa RNA sequencing technology. These reads were then assembled into 18378, 17785, 17065, 17105, and 17995 unigenes, respectively, and aligned to the DFCI Honey Bee Gene Index database. The differentially expressed genes (DEGs) data were also correlated with detailed morphological data for HGs acini. The results identify areas that warrant further study, including those that can be used to improve honey bee breeding techniques and help ensure stable yields of RJ with high quality traits. The 5 samples at given time (d3, d6, d9, d12, d16 after adult worker bees emergence from the comb) are in the critical stage of the RJ secretion and HGs developments indicated (triggered) the further caste differentiation (worker bees and queen) and task switch (nurse bees and foragers). 30 pooled heads of each samples were
2014-05-20 | E-GEOD-47136 | biostudies-arrayexpress
Project description:Sexual reproduction brings genes from two parents – matrigenes and patrigenes – into one individual. These genes, despite being unrelated, should show nearly perfect cooperation because each gains equally through production of offspring. However, an individual’s matrigenes and patrigenes can have different probabilities of being present in other relatives, so that kin selection could act on them differently. Such intragenomic conflict could be implemented by partial or complete silencing (imprinting) of an allele by one of the parents. Evidence supporting this theory is seen in offspring-mother interactions, with patrigenes favoring acquisition of more of the mother's resources if some of the costs fall on half siblings who do not share the patrigene. The kinship theory of intragenomic conflict is little tested in other contexts, but it predicts that matrigene-patrigene conflict may be rife in social insects. We tested the hypothesis that honey bee worker reproduction is promoted more by patrigenes than matrigenes by comparing across 9 reciprocal crosses of two distinct genetic stocks. As predicted, hybrid workers show reproductive trait characteristics of their paternal stock, indicating enhanced activity of the patrigenes on these traits, greater patrigenic than matrigenic expression, and significantly increased patrigenic biased expression in reproductive workers. These results support both the general prediction that matrigene-patrigene conflict occurs in social insects and the specific prediction that honey bee worker reproduction is driven more by patrigenes. The success of these predictions suggests that intragenomic conflict may occur in many contexts where matrigenes and patrigenes have different relatednesses to affected kin.
2015-12-19 | GSE76164 | GEO
Project description:Extensive annual losses of honey bees (Apis mellifera L.) represent a global problem for agriculture and biodiversity. The parasitic mite Varroa destructor in association with viral co-infections plays a key role in this phenomenon; however, the precise mechanisms are still unclear. We employed a unique combination of transcriptomic, proteomic, metabolomic, and functional analyses to elucidate the effects of Varroa parasitisation. We focused on complex differences between parasitised and unparasitised ten-days old honey bee workers collected from identical colonies before overwintering. Honey bees exposed to mite parasitation during their development revealed alterations in transcriptome and proteome related to immunity, oxidative stress, olfactory recognition, metabolism of sphingolipids and RNA regulatory mechanisms. Specifically, immune reactions and sphingolipids metabolism were strongly up-regulated in parasitised honey bees; whereas olfactory recognition and oxidative stress pathways were down-regulated compared to unparasitised bees. Additionally, the metabolomic analysis confirmed the depletion of nutrients, decreased energy stores and generally disrupted metabolism of parasitised workers, as previously reported. By virtue of comprehensive omics-based analysis, we define the key changes in the honey bee facing Varroa parasitism and suggest possible mechanisms underlying its detrimental effects. This study provides a theoretical basis for future efforts in efficient control strategies against Varroa mites.
2023-06-23 | PXD030369 | Pride