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Ngando FJ, Zhang X, Qu H, Xiao J, Ren L, Yang F, Feng Y, Shang Y, Chen S, Zhang C, Guo Y. Age determination of Chrysomya megacephala (Diptera: Calliphoridae) using lifespan patterns, gene expression, and pteridine concentration under constant and variable temperatures. Forensic Sci Int 2024; 354:111916. [PMID: 38141350 DOI: 10.1016/j.forsciint.2023.111916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 12/15/2023] [Accepted: 12/18/2023] [Indexed: 12/25/2023]
Abstract
Chrysomya megacephala (Fabricius, 1794) (Diptera: Calliphoridae), is a blowfly species widely studied in medical, veterinary, and entomological research. Our study examined the impact of constant (15, 20, 25, 30, and 35 °C) and variable (ranging from 21.0 to 25.4 °C, with an average of 23.31 °C) temperatures on the development and larval body length of C. megacephala. Additionally, we analyzed the age of the adult C. megacephala through pteridine content and related metabolic genes analysis. Our findings revealed three distinct growth patterns: isomorphen diagram, isomegalen diagram, and thermal accumulated models. At constant temperatures of 15, 20, 25, 30, and 35 °C, egg-hatching times were 44.5 ± 8.9, 26.7 ± 4.6, 12.6 ± 1.1, 11.0 ± 1.0, and 9.9 ± 1.9 h, respectively, while it was 15.3 ± 5.9 h at variable temperatures. The total development times from oviposition to adult eclosion in C. megacephala required 858.1 ± 69.2, 362.3 ± 5.9, 289.6 ± 17.8, 207.3 ± 9.3, and 184.7 ± 12.1 h at constant temperatures of 15, 20, 25, 30, and 35 °C, respectively. This duration was extended to 282.0 ± 64.1 h under variable temperatures. However, no significant differences were found in hatching times and the total developmental durations between 25 °C and variable temperatures. A developmental threshold temperature (D0) of 9.90 ± 0.77 °C and a thermal summation constant (K) of 4244.0 ± 347.0° hours were ascertained. Pteridine content patterns varied significantly across constant temperatures, but not between 25 °C and variable temperatures. Sex and temperature were identified as the primary factors influencing pteridine levels in the head of C. megacephala. Gene expression associated with pteridine metabolism decreased following adult eclosion, matching with increased pteridine concentration. Further investigations are needed to explore the use of pteridine cofactors for age-grading adult necrophagous flies. These findings provide valuable insights into the lifespan of C. megacephala, thereby offering valuable groundwork for forthcoming investigations and PMImin determination.
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Affiliation(s)
- Fernand Jocelin Ngando
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha 410013, Hunan, China
| | - Xiangyan Zhang
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha 410013, Hunan, China
| | - Hongke Qu
- Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha 410013, Hunan, China
| | - Jiao Xiao
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha 410013, Hunan, China
| | - Lipin Ren
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha 410013, Hunan, China
| | - Fengqin Yang
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha 410013, Hunan, China
| | - Yakai Feng
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha 410013, Hunan, China
| | - Yanjie Shang
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha 410013, Hunan, China
| | - Sile Chen
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha 410013, Hunan, China
| | - Changquan Zhang
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha 410013, Hunan, China
| | - Yadong Guo
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha 410013, Hunan, China.
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Campos TL, Korhonen PK, Hofmann A, Gasser RB, Young ND. Harnessing model organism genomics to underpin the machine learning-based prediction of essential genes in eukaryotes - Biotechnological implications. Biotechnol Adv 2021; 54:107822. [PMID: 34461202 DOI: 10.1016/j.biotechadv.2021.107822] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 08/17/2021] [Accepted: 08/24/2021] [Indexed: 12/17/2022]
Abstract
The availability of high-quality genomes and advances in functional genomics have enabled large-scale studies of essential genes in model eukaryotes, including the 'elegant worm' (Caenorhabditis elegans; Nematoda) and the 'vinegar fly' (Drosophila melanogaster; Arthropoda). However, this is not the case for other, much less-studied organisms, such as socioeconomically important parasites, for which functional genomic platforms usually do not exist. Thus, there is a need to develop innovative techniques or approaches for the prediction, identification and investigation of essential genes. A key approach that could enable the prediction of such genes is machine learning (ML). Here, we undertake an historical review of experimental and computational approaches employed for the characterisation of essential genes in eukaryotes, with a particular focus on model ecdysozoans (C. elegans and D. melanogaster), and discuss the possible applicability of ML-approaches to organisms such as socioeconomically important parasites. We highlight some recent results showing that high-performance ML, combined with feature engineering, allows a reliable prediction of essential genes from extensive, publicly available 'omic data sets, with major potential to prioritise such genes (with statistical confidence) for subsequent functional genomic validation. These findings could 'open the door' to fundamental and applied research areas. Evidence of some commonality in the essential gene-complement between these two organisms indicates that an ML-engineering approach could find broader applicability to ecdysozoans such as parasitic nematodes or arthropods, provided that suitably large and informative data sets become/are available for proper feature engineering, and for the robust training and validation of algorithms. This area warrants detailed exploration to, for example, facilitate the identification and characterisation of essential molecules as novel targets for drugs and vaccines against parasitic diseases. This focus is particularly important, given the substantial impact that such diseases have worldwide, and the current challenges associated with their prevention and control and with drug resistance in parasite populations.
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Affiliation(s)
- Tulio L Campos
- Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria 3010, Australia; Bioinformatics Core Facility, Instituto Aggeu Magalhães, Fundação Oswaldo Cruz (IAM-Fiocruz), Recife, Pernambuco, Brazil
| | - Pasi K Korhonen
- Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Andreas Hofmann
- Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Robin B Gasser
- Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria 3010, Australia.
| | - Neil D Young
- Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria 3010, Australia.
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3
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Feuda R, Goulty M, Zadra N, Gasparetti T, Rosato E, Pisani D, Rizzoli A, Segata N, Ometto L, Stabelli OR. Phylogenomics of Opsin Genes in Diptera Reveals Lineage-Specific Events and Contrasting Evolutionary Dynamics in Anopheles and Drosophila. Genome Biol Evol 2021; 13:6322995. [PMID: 34270718 PMCID: PMC8369074 DOI: 10.1093/gbe/evab170] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/14/2021] [Indexed: 12/12/2022] Open
Abstract
Diptera is one of the biggest insect orders and displays a large diversity of visual adaptations. Similarly to other animals, the dipteran visual process is mediated by opsin genes. Although the diversity and function of these genes are well studied in key model species, a comprehensive comparative genomic study across the dipteran phylogeny is missing. Here we mined the genomes of 61 dipteran species, reconstructed the evolutionary affinities of 528 opsin genes, and determined the selective pressure acting in different species. We found that opsins underwent several lineage-specific events, including an independent expansion of Long Wave Sensitive opsins in flies and mosquitoes, and numerous family-specific duplications and losses. Both the Drosophila and the Anopheles complement are derived in comparison with the ancestral dipteran state. Molecular evolutionary studies suggest that gene turnover rate, overall mutation rate, and site-specific selective pressure are higher in Anopheles than in Drosophila. Overall, our findings indicate an extremely variable pattern of opsin evolution in dipterans, showcasing how two similarly aged radiations, Anopheles and Drosophila, are characterized by contrasting dynamics in the evolution of this gene family. These results provide a foundation for future studies on the dipteran visual system.
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Affiliation(s)
- Roberto Feuda
- Department of Genetics and Genome Biology, University of Leicester, UK.,Department of Biology and Evolution of Marine Organisms, Stazione Zoologica Anton Dohrn, Naples, Italy
| | - Matthew Goulty
- Department of Genetics and Genome Biology, University of Leicester, UK
| | - Nicola Zadra
- Research and Innovation Centre, Fondazione Edmund Mach (FEM), San Michele all'Adige, Italy.,Department CIBIO, University of Trento, Italy
| | | | - Ezio Rosato
- Department of Genetics and Genome Biology, University of Leicester, UK
| | | | - Annapaola Rizzoli
- Research and Innovation Centre, Fondazione Edmund Mach (FEM), San Michele all'Adige, Italy
| | | | - Lino Ometto
- Department of Biology and Biotechnology, University of Pavia, Italy
| | - Omar Rota Stabelli
- Research and Innovation Centre, Fondazione Edmund Mach (FEM), San Michele all'Adige, Italy.,Center Agriculture Food Environment (C3A), University of Trento, Italy
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Time Flies-Age Grading of Adult Flies for the Estimation of the Post-Mortem Interval. Diagnostics (Basel) 2021; 11:diagnostics11020152. [PMID: 33494172 PMCID: PMC7909779 DOI: 10.3390/diagnostics11020152] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 01/18/2021] [Accepted: 01/19/2021] [Indexed: 11/16/2022] Open
Abstract
The estimation of the minimum time since death is one of the main applications of forensic entomology. This can be done by calculating the age of the immature stage of necrophagous flies developing on the corpse, which is confined to approximately 2–4 weeks, depending on temperature and species of the first colonizing wave of flies. Adding the age of the adult flies developed on the dead body could extend this time frame up to several weeks when the body is in a building or closed premise. However, the techniques for accurately estimating the age of adult flies are still in their beginning stages or not sufficiently validated. Here we review the current state of the art of analysing the aging of flies by evaluating the ovarian development, the amount of pteridine in the eyes, the degree of wing damage, the modification of their cuticular hydrocarbon patterns, and the increasing number of growth layers in the cuticula. New approaches, including the use of age specific molecular profiles based on the levels of gene and protein expression and the application of near infrared spectroscopy, are introduced, and the forensic relevance of these methods is discussed.
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Liu Z, Han H, Chen W, Wang S, Meng F, Cai J, Guo Y. Evaluation of Reference Genes and Age Estimation of Forensically Useful Aldrichina grahami (Diptera: Calliphoridae) During Intrapuparial Period. JOURNAL OF MEDICAL ENTOMOLOGY 2021; 58:47-55. [PMID: 32700732 DOI: 10.1093/jme/tjaa144] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Indexed: 06/11/2023]
Abstract
The minimum postmortem interval (PMImin) could be evaluated from the developmental stage of forensically important insects colonize a corpse, such as blow flies (Diptera: Calliphoridae). Unlike larvae, the developmental stage of which is well established according to their morphology, estimating the age of pupae is proven to be challenging. Recently, several studies reported the regulation of special genes during the development of blow fly pupae. However, gene regulation in Aldrichina grahami during the intrapuparial period remains to be studied. Therefore, we set out to investigate the mRNA levels of heat shock protein 23 (Hsp23), heat shock protein 24 (Hsp24), and 1_16 during the metamorphosis of A. grahami pupae. First, we examined seven candidate reference genes (ribosomal protein 49 (RP49), 18S ribosomal RNA (18S rRNA), 28S ribosomal RNA (28S rRNA), beta-tubulin at 56D (β-tubulin), Ribosomal protein L23 (RPL23), glutathione S-transferase (GST1), and Actin. Three widely used algorithms (NormFinder, BestKeeper, and geNorm) were applied to evaluate the mRNA levels of reference gene candidates in puparium at three stable temperatures (15, 22, and 27°C). Next, mRNA expression of Hsp23, Hsp24, and 1_16 during A. grahami metamorphosis was examined. We demonstrated that mRNA expression levels of Hsp23, Hsp24, and 1_16 showed time-specific regulation. In summary, our study identified three gene markers for the intrapuparial period of A. grahami and might provide a potential application in PMImin estimation.
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Affiliation(s)
- Zhuoying Liu
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
- Department of Anesthesiology and Medicine, David Geffen School of Medicine at University of California, Los Angeles, CA
| | - Han Han
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Wei Chen
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Shiwen Wang
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Fanming Meng
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Jifeng Cai
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Yadong Guo
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
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Kumar S, Gupta S, Mohmad A, Fular A, Parthasarathi BC, Chaubey AK. Molecular tools-advances, opportunities and prospects for the control of parasites of veterinary importance. INTERNATIONAL JOURNAL OF TROPICAL INSECT SCIENCE 2021; 41:33-42. [PMID: 32837530 PMCID: PMC7387080 DOI: 10.1007/s42690-020-00213-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Accepted: 07/17/2020] [Indexed: 05/02/2023]
Abstract
The recent advancement in genome sequencing facilities, proteomics, transcriptomics, and metabolomics of eukaryotes have opened door for employment of molecular diagnostic techniques for early detection of parasites and determining target molecules for formulating control strategies. It further leads to the introduction of several purified vaccines in the field of veterinary parasitology. Earlier, the conventional diagnostic methods was entirely based upon morphological taxonomy for diagnosis of parasites but nowadays improved molecular techniques help in phylogenetic study and open an another area of molecular taxonomy of parasites with high precision. Control measures based upon targeting endosymbionts in parasites like Dirofilaria immitis is also under exploration in veterinary parasitology. Metagenomics have added an inside story of parasites bionomics which have created havoc in human and animals population since centuries. Omics era is playing a key role in opening the new approaches on parasite biology. Various newer generations of safer vaccines like edible vaccines and subunit vaccines and diagnostic techniques based upon purified immunologically active epitopes have become commercially available against the parasites (helminths, protozoa and arthropod borne diseases). Nowadays, a transgenic and gene knock out studies using RNA interference and CRISPR are also helping in understanding the functions of genes and screening of target genes, which are not available before the advent of molecular tools. Molecular techniques had paramount impact on increasing the sensitivity of diagnostic tools, epidemiological studies and more importantly in controlling these diseases. This review is about the advancements in veterinary parasitology and their impact on the control of these pathogens.
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Affiliation(s)
- Sachin Kumar
- Division of Parasitology, ICAR-Indian Veterinary Research Institute, Izatnagar, Uttar Pradesh 243122 India
- Department of Zoology, Choudhary Charan Singh University, Meerut, Uttar Pradesh 250001 India
| | - Snehil Gupta
- Department of Veterinary Parasitology, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana 125001 India
| | - Aquil Mohmad
- Division of Parasitology, ICAR-Indian Veterinary Research Institute, Izatnagar, Uttar Pradesh 243122 India
| | - Ashutosh Fular
- Division of Parasitology, ICAR-Indian Veterinary Research Institute, Izatnagar, Uttar Pradesh 243122 India
| | - B. C. Parthasarathi
- Division of Parasitology, ICAR-Indian Veterinary Research Institute, Izatnagar, Uttar Pradesh 243122 India
| | - Ashok Kumar Chaubey
- Department of Zoology, Choudhary Charan Singh University, Meerut, Uttar Pradesh 250001 India
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7
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Prawer YDJ, Stroehlein AJ, Young ND, Kapoor S, Hall RS, Ghazali R, Batterham P, Gasser RB, Perry T, Anstead CA. Major SCP/TAPS protein expansion in Lucilia cuprina is associated with novel tandem array organisation and domain architecture. Parasit Vectors 2020; 13:598. [PMID: 33246493 PMCID: PMC7694928 DOI: 10.1186/s13071-020-04476-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 11/05/2020] [Indexed: 11/20/2022] Open
Abstract
Background Larvae of the Australian sheep blowfly, Lucilia cuprina, parasitise sheep by feeding on skin excretions, dermal tissue and blood, causing severe damage known as flystrike or myiasis. Recent advances in -omic technologies and bioinformatic data analyses have led to a greater understanding of blowfly biology and should allow the identification of protein families involved in host-parasite interactions and disease. Current literature suggests that proteins of the SCP (Sperm-Coating Protein)/TAPS (Tpx-1/Ag5/PR-1/Sc7) (SCP/TAPS) superfamily play key roles in immune modulation, cross-talk between parasite and host as well as developmental and reproductive processes in parasites. Methods Here, we employed a bioinformatics workflow to curate the SCP/TAPS protein gene family in L. cuprina. Protein sequence, the presence and number of conserved CAP-domains and phylogeny were used to group identified SCP/TAPS proteins; these were compared to those found in Drosophila melanogaster to make functional predictions. In addition, transcription levels of SCP/TAPS protein-encoding genes were explored in different developmental stages. Results A total of 27 genes were identified as belonging to the SCP/TAPS gene family: encoding 26 single-domain proteins each with a single CAP domain and a solitary double-domain protein containing two conserved cysteine-rich secretory protein/antigen 5/pathogenesis related-1 (CAP) domains. Surprisingly, 16 SCP/TAPS predicted proteins formed an extended tandem array spanning a 53 kb region of one genomic region, which was confirmed by MinION long-read sequencing. RNA-seq data indicated that these 16 genes are highly transcribed in all developmental stages (excluding the embryo). Conclusions Future work should assess the potential of selected SCP/TAPS proteins as novel targets for the control of L. cuprina and related parasitic flies of major socioeconomic importance.![]()
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Affiliation(s)
- Yair D J Prawer
- Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, VIC, 3010, Australia.
| | - Andreas J Stroehlein
- Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Neil D Young
- Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Shilpa Kapoor
- Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Ross S Hall
- Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Razi Ghazali
- Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Phillip Batterham
- Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Robin B Gasser
- Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Trent Perry
- Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Clare A Anstead
- Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, VIC, 3010, Australia.
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8
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Campos TL, Korhonen PK, Hofmann A, Gasser RB, Young ND. Combined use of feature engineering and machine-learning to predict essential genes in Drosophila melanogaster. NAR Genom Bioinform 2020; 2:lqaa051. [PMID: 33575603 PMCID: PMC7671374 DOI: 10.1093/nargab/lqaa051] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 06/05/2020] [Accepted: 07/04/2020] [Indexed: 12/17/2022] Open
Abstract
Characterizing genes that are critical for the survival of an organism (i.e. essential) is important to gain a deep understanding of the fundamental cellular and molecular mechanisms that sustain life. Functional genomic investigations of the vinegar fly, Drosophila melanogaster, have unravelled the functions of numerous genes of this model species, but results from phenomic experiments can sometimes be ambiguous. Moreover, the features underlying gene essentiality are poorly understood, posing challenges for computational prediction. Here, we harnessed comprehensive genomic-phenomic datasets publicly available for D. melanogaster and a machine-learning-based workflow to predict essential genes of this fly. We discovered strong predictors of such genes, paving the way for computational predictions of essentiality in less-studied arthropod pests and vectors of infectious diseases.
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Affiliation(s)
- Tulio L Campos
- Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Pasi K Korhonen
- Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Andreas Hofmann
- Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Robin B Gasser
- Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Neil D Young
- Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria 3010, Australia
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9
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Jasti N, Sebagh D, Riaz M, Wang X, Koripella B, Palanisamy V, Mohammad N, Chen Q, Friedrich M. Towards reconstructing the dipteran demise of an ancient essential gene: E3 ubiquitin ligase Murine double minute. Dev Genes Evol 2020; 230:279-294. [PMID: 32623522 DOI: 10.1007/s00427-020-00663-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Accepted: 06/21/2020] [Indexed: 01/09/2023]
Abstract
Genome studies have uncovered many examples of essential gene loss, raising the question of how ancient genes transition from essentiality to dispensability. We explored this process for the deeply conserved E3 ubiquitin ligase Murine double minute (Mdm), which is lacking in Drosophila despite the conservation of its main regulatory target, the cellular stress response gene p53. Conducting gene expression and knockdown experiments in the red flour beetle Tribolium castaneum, we found evidence that Mdm has remained essential in insects where it is present. Using bioinformatics approaches, we confirm the absence of the Mdm gene family in Drosophila, mapping its loss to the stem lineage of schizophoran Diptera and Pipunculidae (big-headed flies), about 95-85 million years ago. Intriguingly, this gene loss event was preceded by the de novo origin of the gene Companion of reaper (Corp), a novel p53 regulatory factor that is characterized by functional similarities to vertebrate Mdm2 despite lacking E3 ubiquitin ligase protein domains. Speaking against a 1:1 compensatory gene gain/loss scenario, however, we found that hoverflies (Syrphidae) and pointed-wing flies (Lonchopteridae) possess both Mdm and Corp. This implies that the two p53 regulators have been coexisting for ~ 150 million years in select dipteran clades and for at least 50 million years in the lineage to Schizophora and Pipunculidae. Given these extensive time spans of Mdm/Corp coexistence, we speculate that the loss of Mdm in the lineage to Drosophila involved further acquisitions of compensatory gene activities besides the emergence of Corp. Combined with the previously noted reduction of an ancestral P53 contact domain in the Mdm homologs of crustaceans and insects, we conclude that the loss of the ancient Mdm gene family in flies was the outcome of incremental functional regression over long macroevolutionary time scales.
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Affiliation(s)
- Naveen Jasti
- Department of Biological Sciences, Wayne State University, 5047 Gullen Mall, Detroit, MI, 48202, USA.,Institute for Protein Design, Washington University, 1959 NE Pacific Street, Seattle, WA, 98195, USA
| | - Dylan Sebagh
- Department of Biological Sciences, Wayne State University, 5047 Gullen Mall, Detroit, MI, 48202, USA
| | - Mohammed Riaz
- Department of Biological Sciences, Wayne State University, 5047 Gullen Mall, Detroit, MI, 48202, USA
| | - Xin Wang
- Department of Biological Sciences, Wayne State University, 5047 Gullen Mall, Detroit, MI, 48202, USA
| | - Bharat Koripella
- Department of Biological Sciences, Wayne State University, 5047 Gullen Mall, Detroit, MI, 48202, USA
| | - Vasanth Palanisamy
- Department of Biological Sciences, Wayne State University, 5047 Gullen Mall, Detroit, MI, 48202, USA
| | - Nabeel Mohammad
- Department of Biological Sciences, Wayne State University, 5047 Gullen Mall, Detroit, MI, 48202, USA
| | - Qing Chen
- Department of Biological Sciences, Wayne State University, 5047 Gullen Mall, Detroit, MI, 48202, USA
| | - Markus Friedrich
- Department of Biological Sciences, Wayne State University, 5047 Gullen Mall, Detroit, MI, 48202, USA. .,Department of Anatomy and Cell Biology, Wayne State University, School of Medicine, 540 East Canfield Avenue, Detroit, MI, 48201, USA.
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10
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Thomas GWC, Dohmen E, Hughes DST, Murali SC, Poelchau M, Glastad K, Anstead CA, Ayoub NA, Batterham P, Bellair M, Binford GJ, Chao H, Chen YH, Childers C, Dinh H, Doddapaneni HV, Duan JJ, Dugan S, Esposito LA, Friedrich M, Garb J, Gasser RB, Goodisman MAD, Gundersen-Rindal DE, Han Y, Handler AM, Hatakeyama M, Hering L, Hunter WB, Ioannidis P, Jayaseelan JC, Kalra D, Khila A, Korhonen PK, Lee CE, Lee SL, Li Y, Lindsey ARI, Mayer G, McGregor AP, McKenna DD, Misof B, Munidasa M, Munoz-Torres M, Muzny DM, Niehuis O, Osuji-Lacy N, Palli SR, Panfilio KA, Pechmann M, Perry T, Peters RS, Poynton HC, Prpic NM, Qu J, Rotenberg D, Schal C, Schoville SD, Scully ED, Skinner E, Sloan DB, Stouthamer R, Strand MR, Szucsich NU, Wijeratne A, Young ND, Zattara EE, Benoit JB, Zdobnov EM, Pfrender ME, Hackett KJ, Werren JH, Worley KC, Gibbs RA, Chipman AD, Waterhouse RM, Bornberg-Bauer E, Hahn MW, Richards S. Gene content evolution in the arthropods. Genome Biol 2020; 21:15. [PMID: 31969194 PMCID: PMC6977273 DOI: 10.1186/s13059-019-1925-7] [Citation(s) in RCA: 106] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 12/26/2019] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Arthropods comprise the largest and most diverse phylum on Earth and play vital roles in nearly every ecosystem. Their diversity stems in part from variations on a conserved body plan, resulting from and recorded in adaptive changes in the genome. Dissection of the genomic record of sequence change enables broad questions regarding genome evolution to be addressed, even across hyper-diverse taxa within arthropods. RESULTS Using 76 whole genome sequences representing 21 orders spanning more than 500 million years of arthropod evolution, we document changes in gene and protein domain content and provide temporal and phylogenetic context for interpreting these innovations. We identify many novel gene families that arose early in the evolution of arthropods and during the diversification of insects into modern orders. We reveal unexpected variation in patterns of DNA methylation across arthropods and examples of gene family and protein domain evolution coincident with the appearance of notable phenotypic and physiological adaptations such as flight, metamorphosis, sociality, and chemoperception. CONCLUSIONS These analyses demonstrate how large-scale comparative genomics can provide broad new insights into the genotype to phenotype map and generate testable hypotheses about the evolution of animal diversity.
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Affiliation(s)
- Gregg W. C. Thomas
- 0000 0001 0790 959Xgrid.411377.7Department of Biology and Department of Computer Science, Indiana University, Bloomington, IN USA
| | - Elias Dohmen
- Institute for Evolution and Biodiversity, University of Münsterss, 48149 Münster, Germany ,0000 0001 2287 2617grid.9026.dInstitute for Bioinformatics and Chemoinformatics, University of Hamburg, Hamburg, Germany ,Westphalian University of Applied Sciences, 45665 Recklinghausen, Germany
| | - Daniel S. T. Hughes
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA ,0000000419368729grid.21729.3fPresent Address: Institute for Genomic Medicine, Columbia University, New York, NY 10032 USA
| | - Shwetha C. Murali
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA ,0000000122986657grid.34477.33Present Address: Howard Hughes Medical Institute, Department of Genome Sciences, University of Washington, Seattle, WA 98195 USA
| | - Monica Poelchau
- 0000 0001 2113 2895grid.483014.aNational Agricultural Library, USDA, Beltsville, MD 20705 USA
| | - Karl Glastad
- 0000 0001 2097 4943grid.213917.fSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332 USA ,0000 0004 1936 8972grid.25879.31Present Address: Penn Epigenetics Institute, Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104 USA
| | - Clare A. Anstead
- 0000 0001 2179 088Xgrid.1008.9Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC 3010 Australia
| | - Nadia A. Ayoub
- grid.268042.aDepartment of Biology, Washington and Lee University, 204 West Washington Street, Lexington, VA 24450 USA
| | - Phillip Batterham
- 0000 0001 2179 088Xgrid.1008.9School of BioSciences Science Faculty, The University of Melbourne, Melbourne, VIC 3010 Australia
| | - Michelle Bellair
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA ,Present Address: CooperGenomics, Houston, TX USA
| | - Greta J. Binford
- 0000 0004 1936 9043grid.259053.8Department of Biology, Lewis & Clark College, Portland, OR 97219 USA
| | - Hsu Chao
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Yolanda H. Chen
- 0000 0004 1936 7689grid.59062.38Department of Plant and Soil Sciences, University of Vermont, Burlington, USA
| | - Christopher Childers
- 0000 0001 2113 2895grid.483014.aNational Agricultural Library, USDA, Beltsville, MD 20705 USA
| | - Huyen Dinh
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Harsha Vardhan Doddapaneni
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Jian J. Duan
- 0000 0004 0404 0958grid.463419.dBeneficial Insects Introduction Research Unit, United States Department of Agriculture, Agricultural Research Service, Newark, DE USA
| | - Shannon Dugan
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Lauren A. Esposito
- 0000 0004 0461 6769grid.242287.9Institute for Biodiversity Science and Sustainability, California Academy of Sciences, 55 Music Concourse Drive, San Francisco, CA 94118 USA
| | - Markus Friedrich
- 0000 0001 1456 7807grid.254444.7Department of Biological Sciences, Wayne State University, Detroit, MI 48202 USA
| | - Jessica Garb
- 0000 0000 9620 1122grid.225262.3Department of Biological Sciences, University of Massachusetts Lowell, 198 Riverside Street, Lowell, MA 01854 USA
| | - Robin B. Gasser
- 0000 0001 2179 088Xgrid.1008.9Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC 3010 Australia
| | - Michael A. D. Goodisman
- 0000 0001 2097 4943grid.213917.fSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332 USA
| | - Dawn E. Gundersen-Rindal
- 0000 0004 0404 0958grid.463419.dUSDA-ARS Invasive Insect Biocontrol and Behavior Laboratory, Beltsville, MD USA
| | - Yi Han
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Alfred M. Handler
- 0000 0004 0404 0958grid.463419.dUSDA-ARS, Center for Medical, Agricultural, and Veterinary Entomology, 1700 S.W. 23rd Drive, Gainesville, FL 32608 USA
| | - Masatsugu Hatakeyama
- 0000 0001 0699 0373grid.410590.9Division of Insect Sciences, National Institute of Agrobiological Sciences, Owashi, Tsukuba, 305-8634 Japan
| | - Lars Hering
- 0000 0001 1089 1036grid.5155.4Department of Zoology, Institute of Biology, University of Kassel, 34132 Kassel, Germany
| | - Wayne B. Hunter
- 0000 0004 0404 0958grid.463419.dUSDA ARS, U. S. Horticultural Research Laboratory, Ft. Pierce, FL 34945 USA
| | - Panagiotis Ioannidis
- 0000 0001 2322 4988grid.8591.5Department of Genetic Medicine and Development and Swiss Institute of Bioinformatics, University of Geneva, 1211 Geneva, Switzerland ,0000 0004 0635 685Xgrid.4834.bPresent Address: Foundation for Research and Technology Hellas, Institute of Molecular Biology and Biotechnology, Vassilika Vouton, 70013 Heraklion, Greece
| | - Joy C. Jayaseelan
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Divya Kalra
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Abderrahman Khila
- 0000 0001 2150 7757grid.7849.2Université de Lyon, Institut de Génomique Fonctionnelle de Lyon, CNRS UMR 5242, Ecole Normale Supérieure de Lyon, Université Claude Bernard Lyon 1, 46 allée d’Italie, 69364 Lyon, France
| | - Pasi K. Korhonen
- 0000 0001 2179 088Xgrid.1008.9Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC 3010 Australia
| | - Carol Eunmi Lee
- 0000 0001 0701 8607grid.28803.31Department of Integrative Biology, University of Wisconsin, Madison, WI 53706 USA
| | - Sandra L. Lee
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Yiyuan Li
- 0000 0001 2168 0066grid.131063.6Department of Biological Sciences, University of Notre Dame, 109B Galvin Life Sciences, Notre Dame, IN 46556 USA
| | - Amelia R. I. Lindsey
- 0000 0001 2222 1582grid.266097.cDepartment of Entomology, University of California Riverside, Riverside, CA USA ,0000 0001 0790 959Xgrid.411377.7Present Address: Department of Biology, Indiana University, Bloomington, IN USA
| | - Georg Mayer
- 0000 0001 1089 1036grid.5155.4Department of Zoology, Institute of Biology, University of Kassel, 34132 Kassel, Germany
| | - Alistair P. McGregor
- 0000 0001 0726 8331grid.7628.bDepartment of Biological and Medical Sciences, Oxford Brookes University, Gipsy Lane, Oxford, OX3 0BP UK
| | - Duane D. McKenna
- 0000 0000 9560 654Xgrid.56061.34Department of Biological Sciences, University of Memphis, 3700 Walker Ave, Memphis, TN 38152 USA
| | - Bernhard Misof
- 0000 0001 2216 5875grid.452935.cCenter for Molecular Biodiversity Research, Zoological Research Museum Alexander Koenig, Bonn, Germany
| | - Mala Munidasa
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Monica Munoz-Torres
- 0000 0001 2231 4551grid.184769.5Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, USA ,0000 0004 4665 2899grid.497331.bPresent Address: Phoenix Bioinformatics, 39221 Paseo Padre Parkway, Ste. J., Fremont, CA 94538 USA
| | - Donna M. Muzny
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Oliver Niehuis
- grid.5963.9Evolutionary Biology and Ecology, Institute of Biology I (Zoology), Albert Ludwig University of Freiburg, 79104 Freiburg (Brsg.), Germany
| | - Nkechinyere Osuji-Lacy
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Subba R. Palli
- 0000 0004 1936 8438grid.266539.dDepartment of Entomology, University of Kentucky, Lexington, KY 40546 USA
| | - Kristen A. Panfilio
- 0000 0000 8809 1613grid.7372.1School of Life Sciences, University of Warwick, Gibbet Hill Campus, Coventry, CV4 7AL UK
| | - Matthias Pechmann
- 0000 0000 8580 3777grid.6190.eCologne Biocenter, Zoological Institute, Department of Developmental Biology, University of Cologne, 50674 Cologne, Germany
| | - Trent Perry
- 0000 0001 2179 088Xgrid.1008.9School of BioSciences Science Faculty, The University of Melbourne, Melbourne, VIC 3010 Australia
| | - Ralph S. Peters
- 0000 0001 2216 5875grid.452935.cCentre of Taxonomy and Evolutionary Research, Arthropoda Department, Zoological Research Museum Alexander Koenig, Bonn, Germany
| | - Helen C. Poynton
- 0000 0004 0386 3207grid.266685.9School for the Environment, University of Massachusetts Boston, Boston, MA 02125 USA
| | - Nikola-Michael Prpic
- 0000 0001 2364 4210grid.7450.6Johann-Friedrich-Blumenbach-Institut für Zoologie und Anthropologie, Abteilung für Entwicklungsbiologie, Georg-August-Universität Göttingen, Göttingen, Germany ,0000 0001 2364 4210grid.7450.6Göttingen Center for Molecular Biosciences (GZMB), Georg-August-Universität Göttingen, Göttingen, Germany
| | - Jiaxin Qu
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Dorith Rotenberg
- 0000 0001 2173 6074grid.40803.3fDepartment of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC 27606 USA
| | - Coby Schal
- 0000 0001 2173 6074grid.40803.3fDepartment of Entomology and W.M. Keck Center for Behavioral Biology, North Carolina State University, Raleigh, NC 27695 USA
| | - Sean D. Schoville
- 0000 0001 2167 3675grid.14003.36Department of Entomology, University of Wisconsin-Madison, Madison, USA
| | - Erin D. Scully
- Stored Product Insect and Engineering Research Unit, USDA-ARS Center for Grain and Animal Health Research, Manhattan, KS 66502 USA
| | - Evette Skinner
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Daniel B. Sloan
- 0000 0004 1936 8083grid.47894.36Department of Biology, Colorado State University, Ft. Collins, CO USA
| | - Richard Stouthamer
- 0000 0001 2222 1582grid.266097.cDepartment of Entomology, University of California Riverside, Riverside, CA USA
| | - Michael R. Strand
- 0000 0004 1936 738Xgrid.213876.9Department of Entomology, University of Georgia, Athens, GA USA
| | - Nikolaus U. Szucsich
- 0000 0001 2169 5989grid.252381.fPresent Address: Arkansas Biosciences Institute, Arkansas State University, Jonesboro, AR USA
| | - Asela Wijeratne
- 0000 0000 9560 654Xgrid.56061.34Department of Biological Sciences, University of Memphis, 3700 Walker Ave, Memphis, TN 38152 USA ,0000 0001 2112 4115grid.425585.bNatural History Museum Vienna, Burgring 7, 1010 Vienna, Austria
| | - Neil D. Young
- 0000 0001 2179 088Xgrid.1008.9Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC 3010 Australia
| | - Eduardo E. Zattara
- 0000 0001 2112 473Xgrid.412234.2INIBIOMA, Univ. Nacional del Comahue – CONICET, Bariloche, Argentina
| | - Joshua B. Benoit
- 0000 0001 2179 9593grid.24827.3bDepartment of Biological Sciences, University of Cincinnati, Cincinnati, OH 45221 USA
| | - Evgeny M. Zdobnov
- 0000 0001 2322 4988grid.8591.5Department of Genetic Medicine and Development and Swiss Institute of Bioinformatics, University of Geneva, 1211 Geneva, Switzerland
| | - Michael E. Pfrender
- 0000 0001 2168 0066grid.131063.6Department of Biological Sciences, University of Notre Dame, 109B Galvin Life Sciences, Notre Dame, IN 46556 USA
| | - Kevin J. Hackett
- 0000 0004 0404 0958grid.463419.dCrop Production and Protection, U.S. Department of Agriculture-Agricultural Research Service, Beltsville, MD 20705 USA
| | - John H. Werren
- 0000 0004 1936 9174grid.16416.34Department of Biology, University of Rochester, Rochester, NY 14627 USA
| | - Kim C. Worley
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Richard A. Gibbs
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Ariel D. Chipman
- 0000 0004 1937 0538grid.9619.7Department of Ecology, Evolution and Behavior, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Edmond J. Safra Campus, Givat Ram, 91904 Jerusalem, Israel
| | - Robert M. Waterhouse
- 0000 0001 2165 4204grid.9851.5Department of Ecology & Evolution and Swiss Institute of Bioinformatics, University of Lausanne, 1015 Lausanne, Switzerland
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Münsterss, 48149 Münster, Germany ,0000 0001 2287 2617grid.9026.dInstitute for Bioinformatics and Chemoinformatics, University of Hamburg, Hamburg, Germany ,0000 0001 1014 8330grid.419495.4Department Protein Evolution, Max Planck Institute for Developmental Biology, Tübingen, Germany
| | - Matthew W. Hahn
- 0000 0001 0790 959Xgrid.411377.7Department of Biology and Department of Computer Science, Indiana University, Bloomington, IN USA
| | - Stephen Richards
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA ,0000 0004 1936 9684grid.27860.3bPresent Address: UC Davis Genome Center, University of California, Davis, CA 95616 USA
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11
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Paulo DF, Williamson ME, Arp AP, Li F, Sagel A, Skoda SR, Sanchez-Gallego J, Vasquez M, Quintero G, Pérez de León AA, Belikoff EJ, Azeredo-Espin AML, McMillan WO, Concha C, Scott MJ. Specific Gene Disruption in the Major Livestock Pests Cochliomyia hominivorax and Lucilia cuprina Using CRISPR/Cas9. G3 (BETHESDA, MD.) 2019; 9:3045-3055. [PMID: 31340950 PMCID: PMC6723136 DOI: 10.1534/g3.119.400544] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 07/23/2019] [Indexed: 02/07/2023]
Abstract
Cochliomyia hominivorax and Lucilia cuprina are major pests of livestock. Their larvae infest warm-blooded vertebrates and feed on host's tissues, resulting in severe industry losses. As they are serious pests, considerable effort has been made to develop genomic resources and functional tools aiming to improve their management and control. Here, we report a significant addition to the pool of genome manipulation tools through the establishment of efficient CRISPR/Cas9 protocols for the generation of directed and inheritable modifications in the genome of these flies. Site-directed mutations were introduced in the C hominivorax and L cuprina yellow genes (ChY and LcY) producing lightly pigmented adults. High rates of somatic mosaicism were induced when embryos were injected with Cas9 ribonucleoprotein complexes (RNPs) pre-assembled with guide RNAs (sgRNAs) at high concentrations. Adult flies carrying disrupted yellow alleles lacked normal pigmentation (brown body phenotype) and efficiently transmitted the mutated alleles to the subsequent generation, allowing the rapid creation of homozygous strains for reverse genetics of candidate loci. We next used our established CRISPR protocol to disrupt the C hominivorax transformer gene (Chtra). Surviving females carrying mutations in the Chtra locus developed mosaic phenotypes of transformed ovipositors with characteristics of male genitalia while exhibiting abnormal reproductive tissues. The CRISPR protocol described here is a significant improvement on the existing toolkit of molecular methods in calliphorids. Our results also suggest that Cas9-based systems targeting Chtra and Lctra could be an effective means for controlling natural populations of these important pests.
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Affiliation(s)
- Daniel F Paulo
- Centre for Molecular Biology and Genetic Engineering, Department of Genetics, Evolution, Microbiology and Immunology, University of Campinas
- Laboratory of Ecological and Evolutionary Genomics, Smithsonian Tropical Research Institute, Gamboa, Panama
| | - Megan E Williamson
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh NC
| | - Alex P Arp
- USDA-ARS, Knipling-Bushland U.S. Livestock Insects Research Laboratory and Veterinary Pest Genomics Center, Kerrville TX, and
| | - Fang Li
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh NC
| | - Agustin Sagel
- USDA-ARS, Knipling-Bushland U.S. Livestock Insects Research Laboratory and Veterinary Pest Genomics Center, Screwworm Research Site, Pacora, Panama
| | - Steven R Skoda
- USDA-ARS, Knipling-Bushland U.S. Livestock Insects Research Laboratory and Veterinary Pest Genomics Center, Screwworm Research Site, Pacora, Panama
| | - Joel Sanchez-Gallego
- USDA-ARS, Knipling-Bushland U.S. Livestock Insects Research Laboratory and Veterinary Pest Genomics Center, Screwworm Research Site, Pacora, Panama
| | - Mario Vasquez
- USDA-ARS, Knipling-Bushland U.S. Livestock Insects Research Laboratory and Veterinary Pest Genomics Center, Screwworm Research Site, Pacora, Panama
| | - Gladys Quintero
- USDA-ARS, Knipling-Bushland U.S. Livestock Insects Research Laboratory and Veterinary Pest Genomics Center, Screwworm Research Site, Pacora, Panama
| | - Adalberto A Pérez de León
- USDA-ARS, Knipling-Bushland U.S. Livestock Insects Research Laboratory and Veterinary Pest Genomics Center, Kerrville TX, and
| | - Esther J Belikoff
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh NC
| | - Ana M L Azeredo-Espin
- Centre for Molecular Biology and Genetic Engineering, Department of Genetics, Evolution, Microbiology and Immunology, University of Campinas
| | - W Owen McMillan
- Laboratory of Ecological and Evolutionary Genomics, Smithsonian Tropical Research Institute, Gamboa, Panama
| | - Carolina Concha
- Laboratory of Ecological and Evolutionary Genomics, Smithsonian Tropical Research Institute, Gamboa, Panama
| | - Maxwell J Scott
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh NC
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12
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Genome and Ontogenetic-Based Transcriptomic Analyses of the Flesh Fly, Sarcophaga bullata. G3-GENES GENOMES GENETICS 2019; 9:1313-1320. [PMID: 30926723 PMCID: PMC6505164 DOI: 10.1534/g3.119.400148] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The flesh fly, Sarcophaga bullata, is a widely-used model for examining the physiology of insect diapause, development, stress tolerance, neurobiology, and host-parasitoid interactions. Flies in this taxon are implicated in myiasis (larval infection of vertebrates) and feed on carrion, aspects that are important in forensic studies. Here we present the genome of S. bullata, along with developmental- and reproduction-based RNA-Seq analyses. We predict 15,768 protein coding genes, identify orthology in relation to closely related flies, and establish sex and developmental-specific gene sets based on our RNA-Seq analyses. Genomic sequences, predicted genes, and sequencing data sets have been deposited at the National Center for Biotechnology Information. Our results provide groundwork for genomic studies that will expand the flesh fly’s utility as a model system.
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13
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Eş I, Gavahian M, Marti-Quijal FJ, Lorenzo JM, Mousavi Khaneghah A, Tsatsanis C, Kampranis SC, Barba FJ. The application of the CRISPR-Cas9 genome editing machinery in food and agricultural science: Current status, future perspectives, and associated challenges. Biotechnol Adv 2019; 37:410-421. [DOI: 10.1016/j.biotechadv.2019.02.006] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2018] [Revised: 01/19/2019] [Accepted: 02/13/2019] [Indexed: 12/26/2022]
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14
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Chaaban A, Richardi VS, Carrer AR, Brum JS, Cipriano RR, Martins CEN, Silva MAN, Deschamps C, Molento MB. Insecticide activity of Curcuma longa (leaves) essential oil and its major compound α-phellandrene against Lucilia cuprina larvae (Diptera: Calliphoridae): Histological and ultrastructural biomarkers assessment. PESTICIDE BIOCHEMISTRY AND PHYSIOLOGY 2019; 153:17-27. [PMID: 30744891 DOI: 10.1016/j.pestbp.2018.10.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2018] [Revised: 09/13/2018] [Accepted: 10/09/2018] [Indexed: 06/09/2023]
Abstract
Lucilia cuprina, known as the Australian blowfly, is of high medico-sanitary and veterinary importance due to its ability to induce myiasis. Synthetic products are the most frequent form of fly control, but their indiscriminate use has selected for resistant populations and accounted for high levels of residues in animal products. This study aimed to assess the effect of essential oil from leaves of Curcuma longa (CLLEO), and its major compound α-phellandrene against L. cuprina L3. An additional goal was to determine the morphological alterations in target organs/tissues through ultrastructural assessment (SEM) and light microscopy, as well as macroscopic damage to cuticle induced by CLLEO. Groups of 20 L3 were placed on filter paper impregnated with increasing concentrations of CLLEO (0.15 to 2.86 μL/cm2) and α-phellandrene (0.29 to 1.47 μL/cm2). Efficacy was determined by quantifying L3 mortality 6, 24 and 48 h after contact with CLLEO and by measuring the structural damage to L3. CLLEO and α-phellandrene inhibited adult emergence by 96.22 and 100%, respectively. Macroscopic cuticle damage, appeared as diffuse pigment and darkening of larval body, was caused by both extracts. The SEM revealed dryness on the cuticle surface, distortion of the sensorial structures and general degeneration in treated L3. Furthermore, alterations in target organs (digestive tract, fat body and brain) were noticed and shall be used as biomarkers in future attempts to elucidate the mechanism of action of these compounds. The vacuolar degeneration and pyknotic profiles observed in the brain tissue of treated larvae with both extracts and the decreased motility within <6 h after treatment leads us to suggest a neurotoxic activity of the products. This work demonstrates the potential use of CLLEO and α-phellandrene as bioinsecticides to be used against L. cuprina, representing an ecofriendly alternative for myiasis control in humans and animals.
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Affiliation(s)
- Amanda Chaaban
- Laboratory of Parasitic Diseases, Federal University of Parana, Curitiba, Brazil; Department of Veterinary Medicine, Catarinense Federal Institute, Araquari, Brazil.
| | - Vinicius Sobrinho Richardi
- Laboratory of Morphology and Physiology of Culicidae and Chironomidae, Federal University of Parana, Curitiba, Brazil
| | | | - Juliana Sperotto Brum
- Laboratory of Veterinary Pathology, Department of Veterinary Sciences, Federal University of Parana, Curitiba, Brazil
| | - Roger Raupp Cipriano
- Laboratory of Phytotechnology and Crop Protection, Federal University of Paraná, Curitiba, Brazil
| | | | - Mário Antônio Navarro Silva
- Laboratory of Morphology and Physiology of Culicidae and Chironomidae, Federal University of Parana, Curitiba, Brazil
| | - Cicero Deschamps
- Laboratory of Phytotechnology and Crop Protection, Federal University of Paraná, Curitiba, Brazil
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15
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Guo S, Herzig V, King GF. Dipteran toxicity assays for determining the oral insecticidal activity of venoms and toxins. Toxicon 2018; 150:297-303. [DOI: 10.1016/j.toxicon.2018.06.077] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 06/07/2018] [Accepted: 06/15/2018] [Indexed: 12/19/2022]
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16
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Anstead CA, Perry T, Richards S, Korhonen PK, Young ND, Bowles VM, Batterham P, Gasser RB. The Battle Against Flystrike - Past Research and New Prospects Through Genomics. ADVANCES IN PARASITOLOGY 2017; 98:227-281. [PMID: 28942770 DOI: 10.1016/bs.apar.2017.03.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Flystrike, or cutaneous myiasis, is caused by blow fly larvae of the genus Lucilia. This disease is a major problem in countries with large sheep populations. In Australia, Lucilia cuprina (Wiedemann, 1830) is the principal fly involved in flystrike. While much research has been conducted on L. cuprina, including physical, chemical, immunological, genetic and biological investigations, the molecular biology of this fly is still poorly understood. The recent sequencing, assembly and annotation of the draft genome and analyses of selected transcriptomes of L. cuprina have given a first global glimpse of its molecular biology and insights into host-fly interactions, insecticide resistance genes and intervention targets. The present article introduces L. cuprina, flystrike and associated issues, details past control efforts and research foci, reviews salient aspects of the L. cuprina genome project and discusses how the new genomic and transcriptomic resources for this fly might accelerate fundamental molecular research of L. cuprina towards developing new methods for the treatment and control of flystrike.
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Affiliation(s)
| | - Trent Perry
- The University of Melbourne, Parkville, VIC, Australia
| | | | | | - Neil D Young
- The University of Melbourne, Parkville, VIC, Australia
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