1
|
Liu B, Xu Y, Zhang W. Transcriptome analysis of Apis mellifera antennae reveals molecular divergence underlying the division of labour in worker bees. INSECT MOLECULAR BIOLOGY 2024; 33:101-111. [PMID: 37864451 DOI: 10.1111/imb.12882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 09/28/2023] [Indexed: 10/22/2023]
Abstract
The olfactory system plays a fundamental role in mediating insect behaviour. Worker bees exhibit an age-dependent division of labour, performing discrete sets of behaviours throughout their lifespan. The behavioural states of bees rely on their sense of the environment and chemical communication via their olfactory system, the antennae. However, the olfactory adaptation mechanism of worker bees during their behavioural development remains unclear. In this study, we conducted a comprehensive and quantitative analysis of antennal gene expression in the Apis mellifera of newly emerged workers, nurses, foragers and defenders using RNA-seq. We found that the antenna tissues of honey bees continued developing after transformation from newly emerged workers to adults. Additionally, we identified differentially expressed genes associated with bee development and division of labour. We validated that major royal jelly protein genes are highly and specifically expressed in nurse honey bee workers. Furthermore, we identified and validated significant alternative splicing events correlated with the development and division of labour. These findings provide a comprehensive transcriptome profile and a new perspective on the molecular mechanisms that may underlie the worker honey bee division of labour.
Collapse
Affiliation(s)
- Bairu Liu
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Yicong Xu
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Weixing Zhang
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| |
Collapse
|
2
|
McKinney RM, Valdez R, Ben-Shahar Y. The genetic architecture of larval aggregation behavior in Drosophila. J Neurogenet 2021; 35:274-284. [PMID: 33629904 DOI: 10.1080/01677063.2021.1887174] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Many insect species exhibit basal social behaviors such as aggregation, which play important roles in their feeding and mating ecologies. However, the evolutionary, genetic, and physiological mechanisms that regulate insect aggregation remain unknown for most species. Here, we used natural populations of Drosophila melanogaster to identify the genetic architecture that drives larval aggregation feeding behavior. By using quantitative and reverse genetic approaches, we have identified a complex neurogenetic network that plays a role in regulating the decision of larvae to feed in either solitude or as a group. Results from single gene, RNAi-knockdown experiments show that several of the identified genes represent key nodes in the genetic network that determines the level of aggregation while feeding. Furthermore, we show that a single non-coding variant in the gene CG14205, a putative acyltransferase, is associated with both decreased mRNA expression and increased aggregate formation, which suggests that it has a specific role in inhibiting aggregation behavior. Our results identify, for the first time, the genetic components which interact to regulate naturally occurring levels of aggregation in D. melanogaster larvae.
Collapse
Affiliation(s)
- Ross M McKinney
- Department of Biology, Washington University in St. Louis, St. Louis, MO, USA
| | - Ryan Valdez
- Department of Biology, Washington University in St. Louis, St. Louis, MO, USA
| | - Yehuda Ben-Shahar
- Department of Biology, Washington University in St. Louis, St. Louis, MO, USA
| |
Collapse
|
3
|
Barbosa-Cornelio R, Cantor F, Coy-Barrera E, Rodríguez D. Tools in the Investigation of Volatile Semiochemicals on Insects: From Sampling to Statistical Analysis. INSECTS 2019; 10:insects10080241. [PMID: 31390759 PMCID: PMC6723273 DOI: 10.3390/insects10080241] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 07/28/2019] [Accepted: 08/02/2019] [Indexed: 12/16/2022]
Abstract
The recognition of volatile organic compounds (VOCs) involved in insect interactions with plants or other organisms is essential for constructing a holistic comprehension of their role in ecology, from which the implementation of new strategies for pest and disease vector control as well as the systematic exploitation of pollinators and natural enemies can be developed. In the present paper, some of the general methods employed in this field are examined, focusing on their available technologies. An important part of the investigations conducted in this context begin with VOC collection directly from host organisms, using classical extraction methods, by the employment of adsorption materials used in solid-phase micro extraction (SPME) and direct-contact sorptive extraction (DCSE) and, subsequently, analysis through instrumental analysis techniques such as gas chromatography (GC), nuclear magnetic resonance (NMR) and mass spectrometry (MS), which provide crucial information for determining the chemical identity of volatile metabolites. Behavioral experiments, electroantennography (EAG), and biosensors are then carried out to define the semiochemicals with the best potential for performing relevant functions in ecological relationships. Chemical synthesis of biologically-active VOCs is alternatively performed to scale up the amount to be used in different purposes such as laboratory or field evaluations. Finally, the application of statistical analysis provides tools for drawing conclusions about the type of correlations existing between the diverse experimental variables and data matrices, thus generating models that simplify the interpretation of the biological roles of VOCs.
Collapse
Affiliation(s)
- Ricardo Barbosa-Cornelio
- Biological Control Laboratory, Facultad de Ciencias Básicas y Aplicadas, Universidad Militar Nueva Granada, Cajicá 250247, Colombia
- Bioorganic Chemistry Laboratory, Facultad de Ciencias Básicas y Aplicadas, Universidad Militar Nueva Granada, Cajicá 250247, Colombia
| | - Fernando Cantor
- Biological Control Laboratory, Facultad de Ciencias Básicas y Aplicadas, Universidad Militar Nueva Granada, Cajicá 250247, Colombia
| | - Ericsson Coy-Barrera
- Bioorganic Chemistry Laboratory, Facultad de Ciencias Básicas y Aplicadas, Universidad Militar Nueva Granada, Cajicá 250247, Colombia.
| | - Daniel Rodríguez
- Biological Control Laboratory, Facultad de Ciencias Básicas y Aplicadas, Universidad Militar Nueva Granada, Cajicá 250247, Colombia.
| |
Collapse
|
4
|
Fischer EK, Nowicki JP, O'Connell LA. Evolution of affiliation: patterns of convergence from genomes to behaviour. Philos Trans R Soc Lond B Biol Sci 2019; 374:20180242. [PMID: 31154971 DOI: 10.1098/rstb.2018.0242] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Affiliative behaviours have evolved many times across animals. Research on the mechanisms underlying affiliative behaviour demonstrates remarkable convergence across species spanning wide evolutionary distances. Shared mechanisms have been identified with genomic approaches analysing genetic variants and gene expression differences as well as neuroendocrine and molecular approaches exploring the role of hormones and signalling molecules. We review the genomic and neural basis of pair bonding and parental care across diverse taxa to shed light on mechanistic patterns that underpin the convergent evolution of affiliative behaviour. We emphasize that mechanisms underlying convergence in complex phenotypes like affiliation should be evaluated on a continuum, where signatures of convergence may vary across levels of biological organization. In particular, additional comparative studies within and across major vertebrate lineages will be essential in resolving when and why shared neural substrates are repeatedly targeted in the independent evolution of affiliation, and how similar mechanisms are evolutionarily tuned to give rise to species-specific variations in behaviour. This article is part of the theme issue 'Convergent evolution in the genomics era: new insights and directions'.
Collapse
Affiliation(s)
- Eva K Fischer
- Department of Biology, Stanford University , Stanford, CA 95305 , USA
| | - Jessica P Nowicki
- Department of Biology, Stanford University , Stanford, CA 95305 , USA
| | | |
Collapse
|
5
|
Adamski Z, Bufo SA, Chowański S, Falabella P, Lubawy J, Marciniak P, Pacholska-Bogalska J, Salvia R, Scrano L, Słocińska M, Spochacz M, Szymczak M, Urbański A, Walkowiak-Nowicka K, Rosiński G. Beetles as Model Organisms in Physiological, Biomedical and Environmental Studies - A Review. Front Physiol 2019; 10:319. [PMID: 30984018 PMCID: PMC6447812 DOI: 10.3389/fphys.2019.00319] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 03/11/2019] [Indexed: 12/13/2022] Open
Abstract
Model organisms are often used in biological, medical and environmental research. Among insects, Drosophila melanogaster, Galleria mellonella, Apis mellifera, Bombyx mori, Periplaneta americana, and Locusta migratoria are often used. However, new model organisms still appear. In recent years, an increasing number of insect species has been suggested as model organisms in life sciences research due to their worldwide distribution and environmental significance, the possibility of extrapolating research studies to vertebrates and the relatively low cost of rearing. Beetles are the largest insect order, with their representative - Tribolium castaneum - being the first species with a completely sequenced genome, and seem to be emerging as new potential candidates for model organisms in various studies. Apart from T. castaneum, additional species representing various Coleoptera families, such as Nicrophorus vespilloides, Leptinotarsa decemlineata, Coccinella septempunctata, Poecilus cupreus, Tenebrio molitor and many others, have been used. They are increasingly often included in two major research aspects: biomedical and environmental studies. Biomedical studies focus mainly on unraveling mechanisms of basic life processes, such as feeding, neurotransmission or activity of the immune system, as well as on elucidating the mechanism of different diseases (neurodegenerative, cardiovascular, metabolic, or immunological) using beetles as models. Furthermore, pharmacological bioassays for testing novel biologically active substances in beetles have also been developed. It should be emphasized that beetles are a source of compounds with potential antimicrobial and anticancer activity. Environmental-based studies focus mainly on the development and testing of new potential pesticides of both chemical and natural origin. Additionally, beetles are used as food or for their valuable supplements. Different beetle families are also used as bioindicators. Another important research area using beetles as models is behavioral ecology studies, for instance, parental care. In this paper, we review the current knowledge regarding beetles as model organisms and their practical application in various fields of life science.
Collapse
Affiliation(s)
- Zbigniew Adamski
- Department of Animal Physiology and Development, Institute of Experimental Biology, Faculty of Biology, Adam Mickiewicz University in Poznań, Poznań, Poland
- Laboratory of Electron and Confocal Microscopy, Faculty of Biology, Adam Mickiewicz University in Poznań, Poznań, Poland
| | - Sabino A. Bufo
- Department of Sciences, University of Basilicata, Potenza, Italy
- Department of Geography, Environmental Management & Energy Studies, University of Johannesburg, Johannesburg, South Africa
| | - Szymon Chowański
- Department of Animal Physiology and Development, Institute of Experimental Biology, Faculty of Biology, Adam Mickiewicz University in Poznań, Poznań, Poland
| | | | - Jan Lubawy
- Department of Animal Physiology and Development, Institute of Experimental Biology, Faculty of Biology, Adam Mickiewicz University in Poznań, Poznań, Poland
| | - Paweł Marciniak
- Department of Animal Physiology and Development, Institute of Experimental Biology, Faculty of Biology, Adam Mickiewicz University in Poznań, Poznań, Poland
| | - Joanna Pacholska-Bogalska
- Department of Animal Physiology and Development, Institute of Experimental Biology, Faculty of Biology, Adam Mickiewicz University in Poznań, Poznań, Poland
| | - Rosanna Salvia
- Department of Sciences, University of Basilicata, Potenza, Italy
| | - Laura Scrano
- Department of European and Mediterranean Cultures, University of Basilicata, Matera, Italy
| | - Małgorzata Słocińska
- Department of Animal Physiology and Development, Institute of Experimental Biology, Faculty of Biology, Adam Mickiewicz University in Poznań, Poznań, Poland
| | - Marta Spochacz
- Department of Animal Physiology and Development, Institute of Experimental Biology, Faculty of Biology, Adam Mickiewicz University in Poznań, Poznań, Poland
| | - Monika Szymczak
- Department of Animal Physiology and Development, Institute of Experimental Biology, Faculty of Biology, Adam Mickiewicz University in Poznań, Poznań, Poland
| | - Arkadiusz Urbański
- Department of Animal Physiology and Development, Institute of Experimental Biology, Faculty of Biology, Adam Mickiewicz University in Poznań, Poznań, Poland
| | - Karolina Walkowiak-Nowicka
- Department of Animal Physiology and Development, Institute of Experimental Biology, Faculty of Biology, Adam Mickiewicz University in Poznań, Poznań, Poland
| | - Grzegorz Rosiński
- Department of Animal Physiology and Development, Institute of Experimental Biology, Faculty of Biology, Adam Mickiewicz University in Poznań, Poznań, Poland
| |
Collapse
|
7
|
Nehring V, Steiger S. Sociality and communicative complexity: insights from the other insect societies. CURRENT OPINION IN INSECT SCIENCE 2018; 28:19-25. [PMID: 30551763 DOI: 10.1016/j.cois.2018.04.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 04/02/2018] [Accepted: 04/03/2018] [Indexed: 06/09/2023]
Abstract
Recognition and communication are essential processes when it comes to interaction of organisms with their biotic environment. As especially social interactions are coordinated by communication, it has been predicted that social evolution drives communicative complexity. However, studies comparing olfactory signals or receptor repertoires of solitary and eusocial insects found only mixed evidence for the social complexity hypothesis. We present some possible explanations and especially argue that our current knowledge of intermediate levels of sociality is insufficient to fully test the hypothesis, for which a more balanced comparative dataset would be required. We illustrate with chosen examples how complex communication within the other insect societies can be: Many messages are not unique to eusocial insects. Studying the other insect societies will provide us with a more detailed picture of the link between social and communicative complexity.
Collapse
Affiliation(s)
- Volker Nehring
- Department for Evolutionary Biology and Animal Ecology, University of Freiburg, 79104 Freiburg, Germany.
| | - Sandra Steiger
- Institute of Insect Biotechnology, University of Gießen, 35392 Gießen, Germany.
| |
Collapse
|
8
|
Pheromones Regulating Reproduction in Subsocial Beetles: Insights with References to Eusocial Insects. J Chem Ecol 2018; 44:785-795. [PMID: 29974316 DOI: 10.1007/s10886-018-0982-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2018] [Revised: 04/19/2018] [Accepted: 06/25/2018] [Indexed: 10/28/2022]
Abstract
Beetles have evolved diverse strategies to cope with environmental challenges. Although parents of the vast majority of beetle species do not take care of their offspring, there are some species, in which parents provide elaborate post-hatching care and remain temporarily associated with their offspring to defend them from competitors or to provision them with food. Usually, socially induced reproductive "control" is a core feature of eusocial societies, but here we highlight that already in small family groups, socially induced reproductive regulation can play a fundamental role. By discussing the family life of burying beetles, we illustrate the mechanisms behind such a reproductive "control" and show that - similar to eusocial insects - pheromones can be an important regulating factor. However, apart from burying beetles, our knowledge of pheromones or other signals mediating reproductive regulation is surprisingly rudimentary for social beetles. More data are required to broaden our currently patchy picture.
Collapse
|