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Erezyilmaz D. The genetic determination of alternate stages in polyphenic insects. Evol Dev 2024:e12485. [PMID: 38867484 DOI: 10.1111/ede.12485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 02/23/2024] [Accepted: 05/14/2024] [Indexed: 06/14/2024]
Abstract
Molt-based transitions in form are a central feature of insect life that have enabled adaptation to diverse and changing environments. The endocrine regulation of these transitions is well established, but an understanding of their genetic regulation has only recently emerged from insect models. The pupal and adult stages of metamorphosing insects are determined by the stage specifying transcription factors broad-complex (br) and Ecdysone inducible protein 93 (E93), respectively. A probable larval determinant, chronologically inappropriate metamorphosis (chinmo), has just recently been characterized. Expression of these three transcription factors in the metamorphosing insects is regulated by juvenile hormone with ecdysteroid hormones, and by mutual repression between the stage-specific transcription factors. This review explores the hypothesis that variations in the onset, duration, and tissue-specific expression of chinmo, br, and E93 underlie other polyphenisms that have arisen throughout insects, including the castes of social insects, aquatic stages of mayflies, and the neoteny of endoparasites. The mechanisms that constrain how chinmo, br, and E93 expression may vary will also constrain the ways that insect life history may evolve. I find that four types of expression changes are associated with novel insect forms: (1) heterochronic shift in the turnover of expression, (2) expansion or contraction of expression, (3) tissue-specific expression, and (4) redeployment of stage-specific expression. While there is more to be learned about chinmo, br, and E93 function in diverse insect taxa, the studies outlined here show that insect stages are modular units in developmental time and a substrate for evolutionary forces to act upon.
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Affiliation(s)
- Deniz Erezyilmaz
- Department of Physiology, Anatomy and Genetics, Centre for Neural Circuits and Behavior, University of Oxford, Oxford, UK
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Orr SE, Goodisman MA. Social insect transcriptomics and the molecular basis of caste diversity. CURRENT OPINION IN INSECT SCIENCE 2023; 57:101040. [PMID: 37105497 DOI: 10.1016/j.cois.2023.101040] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 04/13/2023] [Accepted: 04/17/2023] [Indexed: 05/24/2023]
Abstract
Studies of gene expression provide fundamentally important information on the molecular mechanisms underlying variation in phenotype. Recent technological advances have allowed for the robust study of gene expression through analysis of whole transcriptomes. Here, we review current advances in social insect transcriptomics and discuss their implications in understanding phenotypic diversity. Recent transcriptomic studies provide detailed inventories of the genes involved in producing distinct phenotypes in social species. These investigations have identified key genes and networks involved in producing distinct social insect castes. Nevertheless, questions concerning the evolution of gene expression patterns remain. We suggest a path forward for studying gene expression in future studies of biological systems.
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Affiliation(s)
- Sarah E Orr
- School of Biological Sciences, Georgia Institute of Technology, 310 Ferst Drive, Atlanta, GA 30332, USA
| | - Michael Ad Goodisman
- School of Biological Sciences, Georgia Institute of Technology, 310 Ferst Drive, Atlanta, GA 30332, USA.
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Zhang C, Liu P, Sun L, Cao C. Integration of miRNA and mRNA expression profiles in Asian spongy moth Lymantria dispar in response to cyantraniliprole. PESTICIDE BIOCHEMISTRY AND PHYSIOLOGY 2023; 191:105364. [PMID: 36963953 DOI: 10.1016/j.pestbp.2023.105364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 01/31/2023] [Accepted: 02/05/2023] [Indexed: 06/18/2023]
Abstract
The Asian spongy moth, Lymantria dispar, is a worldwide forest pest that damages >500 plant species. Nowadays, chemical control is the most widely used method because of its rapidity and effectiveness, but the insecticide resistance is a growing concern for spongy moth. As important post-transcriptional regulators of gene expression, whether microRNAs (miRNAs) are involved in insecticide tolerance is little known in spongy moth. Therefore, an integrated analysis of miRNA and mRNA was performed on L. dispar larvae treated with cyantraniliprole. Compared to the control group, a total of 432 differentially expressed genes (DEGs) and 23 differentially expressed miRNAs (DEMs) were identified in L. dispar larvae under cyantraniliprole exposure. Among them, twelve DEGs encoding detoxification enzymes/proteins were further analyzed. Twenty-one genes related to insecticide tolerance were predicted by 11 DEMs, of which 25 miRNA-mRNA interactions were identified. In the miRNA-mRNA network, novel-miR-4 and mmu-miR-3475-3p were involved in the response of L. dispar to cyantraniliprole stress by regulating five genes associated with detoxification, respectively. The P450 gene CYP4C1 (c34384.graph_c0) was the only DEG related to detoxification in the network, which was regulated by novel-miR-4. The expression levels of ten DEMs were confirmed by quantitative reverse transcription PCR (RT-qPCR) and the trends were consistent with miRNA-seq. This study identified some candidate miRNAs and mRNAs related to cyantraniliprole tolerance in L. dispar, which provides valuable transcriptomic information for revealing the molecular mechanisms of insect tolerance and developing novel insecticides.
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Affiliation(s)
- Chenshu Zhang
- Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, PR China
| | - Peng Liu
- Jinan State-Owned Liubu Forest Farms, Jinan 250100, PR China
| | - Lili Sun
- Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, PR China.
| | - Chuanwang Cao
- Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, PR China.
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Yokoi K, Wakamiya T, Bono H. Meta-Analysis of the Public RNA-Seq Data of the Western Honeybee Apis mellifera to Construct Reference Transcriptome Data. INSECTS 2022; 13:931. [PMID: 36292879 PMCID: PMC9604386 DOI: 10.3390/insects13100931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 10/05/2022] [Accepted: 10/13/2022] [Indexed: 06/16/2023]
Abstract
The Western honeybee (Apis mellifera) is valuable in biological research and agriculture. Its genome sequence was published before those for other insect species. RNA-Seq data for A. mellifera have been applied in several recently published studies. Nevertheless, these data have not been prepared for use in subsequent meta-analyses. To promote A. mellifera transcriptome analysis, we constructed reference transcriptome data using the reference genome sequence and RNA-Seq data curated from about 1,000 runs of public databases. The new reference transcriptome data construct comprised 149,685 transcripts, and 194,174 protein sequences were predicted. Approximately 50-60% of the predicted protein sequences were functionally annotated using the protein sequence data for several model and insect species. Novel candidate immune-related transcripts were searched by meta-analysis using immune-response-related RNA-Seq and reference transcriptome data. Three to twenty candidate transcripts including autophagy-related protein 3 were upregulated or downregulated in response to both viral and bacterial infections. The constructed reference transcriptome data may facilitate future transcriptome analyses of A. mellifera.
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Affiliation(s)
- Kakeru Yokoi
- Insect Design Technology Module, Division of Insect Advanced Technology, Institute of Agrobiological Sciences, National Agriculture and Food Research Organization (NARO), 1-2 Owashi, Tsukuba 305-8634, Ibaraki, Japan
| | - Takeshi Wakamiya
- Laboratory of Genome Informatics, Graduate School of Integrated Sciences for Life, Hiroshima University, 3-10-23 Kagamiyama, Higashi-Hiroshima City 739-0046, Hiroshima, Japan
| | - Hidemasa Bono
- Laboratory of Genome Informatics, Graduate School of Integrated Sciences for Life, Hiroshima University, 3-10-23 Kagamiyama, Higashi-Hiroshima City 739-0046, Hiroshima, Japan
- Laboratory of BioDX, Genome Editing Innovation Center, Hiroshima University, 3-10-23 Kagamiyama, Higashi-Hiroshima City 739-0046, Hiroshima, Japan
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Martelli F, Falcon T, Pinheiro DG, Simões ZLP, Nunes FMF. Worker bees (Apis mellifera) deprived of pollen in the first week of adulthood exhibit signs of premature aging. INSECT BIOCHEMISTRY AND MOLECULAR BIOLOGY 2022; 146:103774. [PMID: 35470035 DOI: 10.1016/j.ibmb.2022.103774] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 04/18/2022] [Accepted: 04/18/2022] [Indexed: 06/14/2023]
Abstract
Pollinator populations, including bees, are in rapid decline in many parts of the world, raising concerns over the future of ecosystems and food production. Among the factors involved in these declines, poor nutrition deserves attention. The diet consumed by adult worker honeybees (Apis mellifera) is crucial for their behavioral maturation, i.e., the progressive division of labor they perform, such as nurse bees initially and later in life as foragers. Poor pollen nutrition is known to reduce the workers' lifespan, but the underlying physiological and genetic mechanisms are not fully understood. Here we investigate how the lack of pollen in the diet of workers during their first week of adult life can affect age-related phenotypes. During the first seven days of adult life, newly emerged workers were fed either a pollen-deprived (PD) diet mimicking that of an older bee, or a control pollen-rich (PR) diet, as typically consumed by young bees. The PD-fed bees showed alterations in their fat body transcriptome, such as a switch from a protein-lipid based metabolism to a carbohydrate-based metabolism, and a reduced expression of genes involved with immune response. The absence of pollen in the diet also led to an accumulation of oxidative stress markers in fat body tissue and alterations in the cuticular hydrocarbon profiles, which became similar to those of chronologically older bees. Together, our data indicate that the absence of pollen during first week of adulthood triggers the premature onset of an aging-related worker phenotype.
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Affiliation(s)
- Felipe Martelli
- Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Av. Bandeirantes 3900, 14049-900, Ribeirão Preto, SP, Brazil
| | - Tiago Falcon
- Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Av. Bandeirantes 3900, 14049-900, Ribeirão Preto, SP, Brazil
| | - Daniel G Pinheiro
- Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Av. Bandeirantes 3900, 14049-900, Ribeirão Preto, SP, Brazil
| | - Zilá L P Simões
- Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Av. Bandeirantes 3900, 14049-900, Ribeirão Preto, SP, Brazil; Departamento de Biologia, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, Av. Bandeirantes 3900, 14049-900, Ribeirão Preto, SP, Brazil
| | - Francis M F Nunes
- Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Av. Bandeirantes 3900, 14049-900, Ribeirão Preto, SP, Brazil; Departamento de Genética e Evolução, Centro de Ciências Biológicas e da Saúde, Universidade Federal de São Carlos, Rod. Washington Luís - km 235, 13565-905, São Carlos, SP, Brazil.
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