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Rasool KG, Mehmood K, Husain M, Tufail M, Alwaneen WS, Aldawood AS. De novo transcriptome analysis and identification of reproduction control genes from the red palm weevil Rhynchophorus ferrugineus. PLoS One 2021; 16:e0251278. [PMID: 34029342 PMCID: PMC8143396 DOI: 10.1371/journal.pone.0251278] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 04/22/2021] [Indexed: 11/19/2022] Open
Abstract
Recent attacks by the red palm weevil, Rhynchophorus ferrugineus (Olivier), have become a severe problem for palm species. In present work, fat body transcriptome of adult female red palm weevil was analyzed, focusing on the identification of reproduction control genes. Transcriptome study was completed by means of next-generation sequencing (NGS) using Illumina Hiseq 2000 sequencing system. A total of 105,938,182 raw reads, 102,645,544 clean reads, and 9,238,098,960 clean nucleotides with a guanine-cytosine content of 40.31%, were produced. The processed transcriptome data resulted in 43,789 unique transcripts (with mean lengths of 1,172 bp). It was found that 20% of total unique transcripts shared up to 80%-100% sequence identity with homologous species, mainly the mountain pine beetle Dendroctonus ponderosae (59.9%) and red flour beetle Tribolium castaneum (26.9%). Nearly 25 annotated genes were predicted to be involved in red palm weevil reproduction, including five vitellogenin (Vg) transcripts. Among the five Vg gene transcripts, one was highly expressed compared with the other four (FPKM values of 1.963, 1.471, 1.028, and 1.017, respectively), and the five Vg gene transcripts were designated as RfVg, RfVg-equivalent1, RfVg-equivalent2, RfVg-equivalent3, and RfVg-equivalent4, respectively. The high expression level of RfVg verified by RT-polymerase chain reaction analysis suggested that RfVg is the primary functional Vg gene in red palm weevil. A high similarity of RfVg with other Coleopterans was also reflected in a phylogenetic tree, where RfVg was placed within the clade of the order Coleoptera. Awareness of the major genes that play critical roles in reproduction and proliferation of red palm weevil is valuable to understand their reproduction mechanism at a molecular level. In addition, for future molecular studies, the NGS dataset obtained will be useful and will promote the exploration of biotech-based control strategies against red palm weevil, a primary pest of palm trees.
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Affiliation(s)
- Khawaja Ghulam Rasool
- Economic Entomology Research Unit, Plant Protection Department, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Khalid Mehmood
- Economic Entomology Research Unit, Plant Protection Department, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia
- Institute of Plant Protection, Faculty of Agriculture and Environmental Sciences, MNS-University of Agriculture, Multan, Pakistan
| | - Mureed Husain
- Economic Entomology Research Unit, Plant Protection Department, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Muhammad Tufail
- Economic Entomology Research Unit, Plant Protection Department, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia
- Ghazi University, Dera Ghazi Khan, Punjab, Pakistan
| | - Waleed Saleh Alwaneen
- National Center for Agricultural Technology (NCAT), King Abdulaziz City for Science and Technology (KACST), Riyadh, Saudi Arabia
| | - Abdulrahman Saad Aldawood
- Economic Entomology Research Unit, Plant Protection Department, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia
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102
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Liu N, Li T, Wang Y, Liu S. G-Protein Coupled Receptors (GPCRs) in Insects-A Potential Target for New Insecticide Development. Molecules 2021; 26:2993. [PMID: 34069969 PMCID: PMC8157829 DOI: 10.3390/molecules26102993] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 05/10/2021] [Accepted: 05/12/2021] [Indexed: 02/07/2023] Open
Abstract
G-protein coupled receptors (GPCRs) play important roles in cell biology and insects' physiological processes, toxicological response and the development of insecticide resistance. New information on genome sequences, proteomic and transcriptome analysis and expression patterns of GPCRs in organs such as the central nervous system in different organisms has shown the importance of these signaling regulatory GPCRs and their impact on vital cell functions. Our growing understanding of the role played by GPCRs at the cellular, genome, transcriptome and tissue levels is now being utilized to develop new targets that will sidestep many of the problems currently hindering human disease control and insect pest management. This article reviews recent work on the expression and function of GPCRs in insects, focusing on the molecular complexes governing the insect physiology and development of insecticide resistance and examining the genome information for GPCRs in two medically important insects, mosquitoes and house flies, and their orthologs in the model insect species Drosophila melanogaster. The tissue specific distribution and expression of the insect GPCRs is discussed, along with fresh insights into practical aspects of insect physiology and toxicology that could be fundamental for efforts to develop new, more effective, strategies for pest control and resistance management.
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Affiliation(s)
- Nannan Liu
- Department of Entomology and Plant Pathology, Auburn University, Auburn, AL 36849, USA; (T.L.); (Y.W.)
| | - Ting Li
- Department of Entomology and Plant Pathology, Auburn University, Auburn, AL 36849, USA; (T.L.); (Y.W.)
| | - Yifan Wang
- Department of Entomology and Plant Pathology, Auburn University, Auburn, AL 36849, USA; (T.L.); (Y.W.)
| | - Shikai Liu
- College of Fisheries, Ocean University of China, Qingdao 266100, China;
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103
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Ghamgosar A, Zarghani M, Nemati-Anaraki L. The 100 most-cited articles on malaria: a bibliometric analysis. COLLECTION AND CURATION 2021; 40:58-67. [DOI: 10.1108/cc-06-2020-0018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2025]
Abstract
Purpose
The use of citation analysis to identify the first 100 articles on malaria offers unique insights into understanding the disease and subsequent follow-up treatment innovations over time. In this study, the 100 most-cited articles on malaria were analyzed, and key studies were highlighted.
Design/methodology/approach
The data of the most-cited articles for the period of four decades were extracted from the Web of Science database. The search terms malaria, plasmodium infection and remittent fever were used to identify the related articles for the study.
Findings
The preliminary data of the 100 most-cited articles were recorded and analyzed. The total number of retrieved articles was 55,517. Dondrop and colleagues wrote the most-cited articles focusing on a new treatment for falciparum malaria resistant to existing medications. The author, with the most publications, was N. J. White. The most-cited articles on malaria were published in 35 journals. The USA had published most of the influential articles, while the Mahidol Oxford Tropical Medicine Research Unit was the leading institute active in malaria research. The experimental method was the most frequent method used by the most-cited articles. There was a significant relationship between the number of authors, the presence of the corresponding author on Research Gate, the availability of the full text of the article on Research Gate, the impact factor of the journal in which the article was published and the international collaboration of authors and the number of citations on malaria. The most influential authors, countries, institutes, journals and articles were specified. Most of the notable articles on malaria were published in journals with high impact factors. A group of journals was introduced as the core journals.
Originality/value
It was found that having co-authors, the presence of the corresponding author on Research Gate, the availability of the full text of the article on Research Gate, the impact factor of the journal in which the article was published and international collaboration contributed to the publication of high-quality scientific products. Updated information on malaria is needed to present and expand the screening strategies to improve health and reduce burden of malaria.
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104
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Regulators and signalling in insect antimicrobial innate immunity: Functional molecules and cellular pathways. Cell Signal 2021; 83:110003. [PMID: 33836260 DOI: 10.1016/j.cellsig.2021.110003] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 04/02/2021] [Accepted: 04/02/2021] [Indexed: 12/29/2022]
Abstract
Insects possess an immune system that protects them from attacks by various pathogenic microorganisms that would otherwise threaten their survival. Immune mechanisms may deal directly with the pathogens by eliminating them from the host organism or disarm them by suppressing the synthesis of toxins and virulence factors that promote the invasion and destructive action of the intruder within the host. Insects have been established as outstanding models for studying immune system regulation because innate immunity can be explored as an integrated system at the level of the whole organism. Innate immunity in insects consists of basal immunity that controls the constitutive synthesis of effector molecules such as antimicrobial peptides, and inducible immunity that is activated after detection of a microbe or its product(s). Activation and coordination of innate immune defenses in insects involve evolutionary conserved immune factors. Previous research in insects has led to the identification and characterization of distinct immune signalling pathways that modulate the response to microbial infections. This work has not only advanced the field of insect immunology, but it has also rekindled interest in the innate immune system of mammals. Here we review the current knowledge on key molecular components of insect immunity and discuss the opportunities they present for confronting infectious diseases in humans.
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105
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Connolly JB, Mumford JD, Fuchs S, Turner G, Beech C, North AR, Burt A. Systematic identification of plausible pathways to potential harm via problem formulation for investigational releases of a population suppression gene drive to control the human malaria vector Anopheles gambiae in West Africa. Malar J 2021; 20:170. [PMID: 33781254 PMCID: PMC8006393 DOI: 10.1186/s12936-021-03674-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 02/24/2021] [Accepted: 02/25/2021] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Population suppression gene drive has been proposed as a strategy for malaria vector control. A CRISPR-Cas9-based transgene homing at the doublesex locus (dsxFCRISPRh) has recently been shown to increase rapidly in frequency in, and suppress, caged laboratory populations of the malaria mosquito vector Anopheles gambiae. Here, problem formulation, an initial step in environmental risk assessment (ERA), was performed for simulated field releases of the dsxFCRISPRh transgene in West Africa. METHODS Building on consultative workshops in Africa that previously identified relevant environmental and health protection goals for ERA of gene drive in malaria vector control, 8 potentially harmful effects from these simulated releases were identified. These were stratified into 46 plausible pathways describing the causal chain of events that would be required for potential harms to occur. Risk hypotheses to interrogate critical steps in each pathway, and an analysis plan involving experiments, modelling and literature review to test each of those risk hypotheses, were developed. RESULTS Most potential harms involved increased human (n = 13) or animal (n = 13) disease transmission, emphasizing the importance to subsequent stages of ERA of data on vectorial capacity comparing transgenics to non-transgenics. Although some of the pathways (n = 14) were based on known anatomical alterations in dsxFCRISPRh homozygotes, many could also be applicable to field releases of a range of other transgenic strains of mosquito (n = 18). In addition to population suppression of target organisms being an accepted outcome for existing vector control programmes, these investigations also revealed that the efficacy of population suppression caused by the dsxFCRISPRh transgene should itself directly affect most pathways (n = 35). CONCLUSIONS Modelling will play an essential role in subsequent stages of ERA by clarifying the dynamics of this relationship between population suppression and reduction in exposure to specific potential harms. This analysis represents a comprehensive identification of plausible pathways to potential harm using problem formulation for a specific gene drive transgene and organism, and a transparent communication tool that could inform future regulatory studies, guide subsequent stages of ERA, and stimulate further, broader engagement on the use of population suppression gene drive to control malaria vectors in West Africa.
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Affiliation(s)
- John B Connolly
- Department of Life Sciences, Imperial College London, London, UK.
| | - John D Mumford
- Centre for Environmental Policy, Imperial College London, London, UK
| | - Silke Fuchs
- Department of Life Sciences, Imperial College London, London, UK
| | - Geoff Turner
- Department of Life Sciences, Imperial College London, London, UK
| | | | - Ace R North
- Department of Zoology, University of Oxford, Oxford, UK
| | - Austin Burt
- Department of Life Sciences, Imperial College London, London, UK
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106
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Zhang C, Shi Q, Li T, Cheng P, Guo X, Song X, Gong M. Comparative proteomics reveals mechanisms that underlie insecticide resistance in Culex pipiens pallens Coquillett. PLoS Negl Trop Dis 2021; 15:e0009237. [PMID: 33764997 PMCID: PMC7993597 DOI: 10.1371/journal.pntd.0009237] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 02/12/2021] [Indexed: 11/23/2022] Open
Abstract
Mosquito control based on chemical insecticides is considered as an important element of the current global strategies for the control of mosquito-borne diseases. Unfortunately, the development of insecticide resistance of important vector mosquito species jeopardizes the effectiveness of insecticide-based mosquito control. In contrast to target site resistance, other mechanisms are far from being fully understood. Global protein profiles among cypermethrin-resistant, propoxur-resistant, dimethyl-dichloro-vinyl-phosphate-resistant and susceptible strain of Culex pipiens pallens were obtained and proteomic differences were evaluated by using isobaric tags for relative and absolute quantification labeling coupled with liquid chromatography/tandem mass spectrometric analysis. A susceptible strain of Culex pipiens pallens showed elevated resistance levels after 25 generations of insecticide selection, through iTRAQ data analysis detected 2,502 proteins, of which 1,513 were differentially expressed in insecticide-selected strains compared to the susceptible strain. Finally, midgut differential protein expression profiles were analyzed, and 62 proteins were selected for verification of differential expression using iTRAQ and parallel reaction monitoring strategy, respectively. iTRAQ profiles of adaptation selection to three insecticide strains combined with midgut profiles revealed that multiple insecticide resistance mechanisms operate simultaneously in resistant insects of Culex pipiens pallens. Significant molecular resources were developed for Culex pipiens pallens, potential candidates were involved in metabolic resistance and reducing penetration or sequestering insecticide. Future research that is targeted towards RNA interference of the identified metabolic targets, such as cuticular proteins, cytochrome P450s, glutathione S-transferases and ribosomal proteins proteins and biological pathways (drug metabolism—cytochrome P450, metabolism of xenobiotics by cytochrome P450, oxidative phosphorylation, ribosome) could lay the foundation for a better understanding of the genetic basis of insecticide resistance in Culex pipiens pallens. Global protein profiles were compared among a susceptible strain of Cx. pipiens pallens and strains that were cypermethrin-resistant, propoxur-resistant, and dimethyl-dichloro-vinyl-phosphate-resistant after 25 generations of selection by distinct chemical insecticide families, multiple mechanisms were found to operate simultaneously in resistant mosquitoes of Cx. pipiens pallens, including mechanisms to lower penetration of or sequester the insecticide or to increase biodegradation of the insecticide via subtle alterations in either the cuticular protein levels or the activities of detoxification enzymes (P450s and glutathione S-transferases).
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Affiliation(s)
- Chongxing Zhang
- Shandong Institute of Parasitic Diseases, Shandong First Medical University & Shandong Academy of Medical Sciences, Jining, Shandong, P.R. China
- * E-mail: (ZCX); (GMQ)
| | - Qiqi Shi
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology, MOH, National Center for International Research on Tropical Diseases, WHO Collaborating Centre for Tropical Diseases, Shanghai, China
| | - Tao Li
- Nanning MHelixProTech Co., Ltd., Nanning Hi-tech Zone Bioengineering Center, Nanning, P.R. China
| | - Peng Cheng
- Shandong Institute of Parasitic Diseases, Shandong First Medical University & Shandong Academy of Medical Sciences, Jining, Shandong, P.R. China
| | - Xiuxia Guo
- Shandong Institute of Parasitic Diseases, Shandong First Medical University & Shandong Academy of Medical Sciences, Jining, Shandong, P.R. China
| | - Xiao Song
- Shandong Institute of Parasitic Diseases, Shandong First Medical University & Shandong Academy of Medical Sciences, Jining, Shandong, P.R. China
| | - Maoqing Gong
- Shandong Institute of Parasitic Diseases, Shandong First Medical University & Shandong Academy of Medical Sciences, Jining, Shandong, P.R. China
- * E-mail: (ZCX); (GMQ)
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107
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O'Loughlin SM, Forster AJ, Fuchs S, Dottorini T, Nolan T, Crisanti A, Burt A. Ultra-conserved sequences in the genomes of highly diverse Anopheles mosquitoes, with implications for malaria vector control. G3-GENES GENOMES GENETICS 2021; 11:6175102. [PMID: 33730159 PMCID: PMC8495744 DOI: 10.1093/g3journal/jkab086] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 03/08/2021] [Indexed: 12/30/2022]
Abstract
DNA sequences that are exactly conserved over long evolutionary time scales have been observed in a variety of taxa. Such sequences are likely under strong functional constraint and they have been useful in the field of comparative genomics for identifying genome regions with regulatory function. A potential new application for these ultra-conserved elements (UCEs) has emerged in the development of gene drives to control mosquito populations. Many gene drives work by recognizing and inserting at a specific target sequence in the genome, often imposing a reproductive load as a consequence. They can therefore select for target sequence variants that provide resistance to the drive. Focusing on highly conserved, highly constrained sequences lowers the probability that variant, gene drive-resistant alleles can be tolerated. Here, we search for conserved sequences of 18 bp and over in an alignment of 21 Anopheles genomes, spanning an evolutionary timescale of 100 million years, and characterize the resulting sequences according to their location and function. Over 8000 UCEs were found across the alignment, with a maximum length of 164 bp. Length-corrected gene ontology analysis revealed that genes containing Anopheles UCEs were over-represented in categories with structural or nucleotide-binding functions. Known insect transcription factor binding sites were found in 48% of intergenic Anopheles UCEs. When we looked at the genome sequences of 1142 wild-caught mosquitoes, we found that 15% of the Anopheles UCEs contained no polymorphisms. Our list of Anopheles UCEs should provide a valuable starting point for the selection and testing of new targets for gene-drive modification in the mosquitoes that transmit malaria.
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Affiliation(s)
- Samantha M O'Loughlin
- Department of Life Sciences, Imperial College London, Silwood Park, Ascot, SL5 7PY, UK
| | - Annie J Forster
- Department of Life Sciences, Imperial College London, Silwood Park, Ascot, SL5 7PY, UK
| | - Silke Fuchs
- Department of Life Sciences, Imperial College London, Silwood Park, Ascot, SL5 7PY, UK
| | - Tania Dottorini
- School of Veterinary Medicine and Science, Sutton Bonington Campus, University of Nottingham, Leicestershire, LE12 5RD, UK
| | - Tony Nolan
- Department of Life Sciences, Imperial College London, Silwood Park, Ascot, SL5 7PY, UK.,Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK
| | - Andrea Crisanti
- Department of Life Sciences, Imperial College London, Silwood Park, Ascot, SL5 7PY, UK
| | - Austin Burt
- Department of Life Sciences, Imperial College London, Silwood Park, Ascot, SL5 7PY, UK
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108
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Martins M, Ramos LFC, Murillo JR, Torres A, de Carvalho SS, Domont GB, de Oliveira DMP, Mesquita RD, Nogueira FCS, Maciel-de-Freitas R, Junqueira M. Comprehensive Quantitative Proteome Analysis of Aedes aegypti Identifies Proteins and Pathways Involved in Wolbachia pipientis and Zika Virus Interference Phenomenon. Front Physiol 2021; 12:642237. [PMID: 33716790 PMCID: PMC7947915 DOI: 10.3389/fphys.2021.642237] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 02/04/2021] [Indexed: 11/23/2022] Open
Abstract
Zika virus (ZIKV) is a global public health emergency due to its association with microcephaly, Guillain-Barré syndrome, neuropathy, and myelitis in children and adults. A total of 87 countries have had evidence of autochthonous mosquito-borne transmission of ZIKV, distributed across four continents, and no antivirus therapy or vaccines are available. Therefore, several strategies have been developed to target the main mosquito vector, Aedes aegypti, to reduce the burden of different arboviruses. Among such strategies, the use of the maternally-inherited endosymbiont Wolbachia pipientis has been applied successfully to reduce virus susceptibility and decrease transmission. However, the mechanisms by which Wolbachia orchestrate resistance to ZIKV infection remain to be elucidated. In this study, we apply isobaric labeling quantitative mass spectrometry (MS)-based proteomics to quantify proteins and identify pathways altered during ZIKV infection; Wolbachia infection; co-infection with Wolbachia/ZIKV in the A. aegypti heads and salivary glands. We show that Wolbachia regulates proteins involved in reactive oxygen species production, regulates humoral immune response, and antioxidant production. The reduction of ZIKV polyprotein in the presence of Wolbachia in mosquitoes was determined by MS and corroborates the idea that Wolbachia helps to block ZIKV infections in A. aegypti. The present study offers a rich resource of data that may help to elucidate mechanisms by which Wolbachia orchestrate resistance to ZIKV infection in A. aegypti, and represents a step further on the development of new targeted methods to detect and quantify ZIKV and Wolbachia directly in complex tissues.
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Affiliation(s)
- Michele Martins
- Departamento de Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Luis Felipe Costa Ramos
- Departamento de Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Jimmy Rodriguez Murillo
- Division of Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Stockholm, Sweden
| | - André Torres
- Carlos Chagas Filho Biophysics Institute, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Gilberto Barbosa Domont
- Departamento de Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Rafael Dias Mesquita
- Departamento de Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Fábio César Sousa Nogueira
- Departamento de Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Rafael Maciel-de-Freitas
- Laboratório de Mosquitos Transmissores de Hematozoários, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, Brazil
| | - Magno Junqueira
- Departamento de Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
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Zamyatin A, Avdeyev P, Liang J, Sharma A, Chen C, Lukyanchikova V, Alexeev N, Tu Z, Alekseyev MA, Sharakhov IV. Chromosome-level genome assemblies of the malaria vectors Anopheles coluzzii and Anopheles arabiensis. Gigascience 2021; 10:giab017. [PMID: 33718948 PMCID: PMC7957348 DOI: 10.1093/gigascience/giab017] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 01/01/2021] [Accepted: 01/23/2021] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Anopheles coluzzii and Anopheles arabiensis belong to the Anopheles gambiae complex and are among the major malaria vectors in sub-Saharan Africa. However, chromosome-level reference genome assemblies are still lacking for these medically important mosquito species. FINDINGS In this study, we produced de novo chromosome-level genome assemblies for A. coluzzii and A. arabiensis using the long-read Oxford Nanopore sequencing technology and the Hi-C scaffolding approach. We obtained 273.4 and 256.8 Mb of the total assemblies for A. coluzzii and A. arabiensis, respectively. Each assembly consists of 3 chromosome-scale scaffolds (X, 2, 3), complete mitochondrion, and unordered contigs identified as autosomal pericentromeric DNA, X pericentromeric DNA, and Y sequences. Comparison of these assemblies with the existing assemblies for these species demonstrated that we obtained improved reference-quality genomes. The new assemblies allowed us to identify genomic coordinates for the breakpoint regions of fixed and polymorphic chromosomal inversions in A. coluzzii and A. arabiensis. CONCLUSION The new chromosome-level assemblies will facilitate functional and population genomic studies in A. coluzzii and A. arabiensis. The presented assembly pipeline will accelerate progress toward creating high-quality genome references for other disease vectors.
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Affiliation(s)
- Anton Zamyatin
- Computer Technologies Laboratory, ITMO University, Kronverkskiy Prospekt 49-A, Saint Petersburg 197101, Russia
| | - Pavel Avdeyev
- Department of Mathematics, The George Washington University, 801 22nd Street NW, Washington, DC 20052, USA
- Computational Biology Institute, Milken Institute School of Public Health, The George Washington University, 800 22nd Street NW, Washington, DC 20052, USA
| | - Jiangtao Liang
- Department of Entomology, Virginia Polytechnic Institute and State University, 170 Drillfield Drive, Blacksburg, VA 24061, USA
- Fralin Life Sciences Institute, Virginia Polytechnic Institute and State University, 360 West Campus Drive, Blacksburg, VA 24061, USA
| | - Atashi Sharma
- Fralin Life Sciences Institute, Virginia Polytechnic Institute and State University, 360 West Campus Drive, Blacksburg, VA 24061, USA
- Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Chujia Chen
- Fralin Life Sciences Institute, Virginia Polytechnic Institute and State University, 360 West Campus Drive, Blacksburg, VA 24061, USA
- Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Varvara Lukyanchikova
- Department of Entomology, Virginia Polytechnic Institute and State University, 170 Drillfield Drive, Blacksburg, VA 24061, USA
- Fralin Life Sciences Institute, Virginia Polytechnic Institute and State University, 360 West Campus Drive, Blacksburg, VA 24061, USA
- Institute of Cytology and Genetics the Siberian Division of the Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk 630090, Russia
| | - Nikita Alexeev
- Computer Technologies Laboratory, ITMO University, Kronverkskiy Prospekt 49-A, Saint Petersburg 197101, Russia
| | - Zhijian Tu
- Fralin Life Sciences Institute, Virginia Polytechnic Institute and State University, 360 West Campus Drive, Blacksburg, VA 24061, USA
- Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Max A Alekseyev
- Department of Mathematics, The George Washington University, 801 22nd Street NW, Washington, DC 20052, USA
- Computational Biology Institute, Milken Institute School of Public Health, The George Washington University, 800 22nd Street NW, Washington, DC 20052, USA
| | - Igor V Sharakhov
- Department of Entomology, Virginia Polytechnic Institute and State University, 170 Drillfield Drive, Blacksburg, VA 24061, USA
- Fralin Life Sciences Institute, Virginia Polytechnic Institute and State University, 360 West Campus Drive, Blacksburg, VA 24061, USA
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110
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Li W, Wang Q. Recent progress in the research of exosomes and Dscam regulated crab antiviral immunity. DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY 2021; 116:103925. [PMID: 33217412 DOI: 10.1016/j.dci.2020.103925] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 11/01/2020] [Accepted: 11/09/2020] [Indexed: 06/11/2023]
Abstract
Crustaceans, including crab and shrimp, generally lack lymphocytes or adaptive immunity, and they rely solely on innate immunity for pathogen defense. The white spot syndrome virus (WSSV) causes the most prevalent viral disease in penaeid shrimps, which are widely cultured species in coastal waters worldwide. Numerous studies have elucidated the role of the immune system in protecting shrimps from WSSV infection for the development of safe and effective defensive strategies against WSSV. Although WSSV has a wide host range, it appears to exhibit high pathogenicity and virulence in only penaeid shrimps. Crabs are interesting models for studying immune responses after WSSV infection. Therefore, we reviewed recent information on the innate immune responses of crabs to WSSV and mainly focused on the antiviral functions of exosome-mediated apoptosis and alternatively spliced Down syndrome cell adhesion molecule. Our review may provide novel insights into antiviral management for crustaceans, especially penaeid shrimps.
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Affiliation(s)
- Weiwei Li
- Laboratory of Invertebrate Immunological Defense and Reproductive Biology, School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Qun Wang
- Laboratory of Invertebrate Immunological Defense and Reproductive Biology, School of Life Sciences, East China Normal University, Shanghai, 200241, China.
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Ma Q, Srivastav SP, Gamez S, Dayama G, Feitosa-Suntheimer F, Patterson EI, Johnson RM, Matson EM, Gold AS, Brackney DE, Connor JH, Colpitts TM, Hughes GL, Rasgon JL, Nolan T, Akbari OS, Lau NC. A mosquito small RNA genomics resource reveals dynamic evolution and host responses to viruses and transposons. Genome Res 2021; 31:512-528. [PMID: 33419731 PMCID: PMC7919454 DOI: 10.1101/gr.265157.120] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Accepted: 01/06/2021] [Indexed: 12/14/2022]
Abstract
Although mosquitoes are major transmission vectors for pathogenic arboviruses, viral infection has little impact on mosquito health. This immunity is caused in part by mosquito RNA interference (RNAi) pathways that generate antiviral small interfering RNAs (siRNAs) and Piwi-interacting RNAs (piRNAs). RNAi also maintains genome integrity by potently repressing mosquito transposon activity in the germline and soma. However, viral and transposon small RNA regulatory pathways have not been systematically examined together in mosquitoes. Therefore, we developed an integrated mosquito small RNA genomics (MSRG) resource that analyzes the transposon and virus small RNA profiles in mosquito cell cultures and somatic and gonadal tissues across four medically important mosquito species. Our resource captures both somatic and gonadal small RNA expression profiles within mosquito cell cultures, and we report the evolutionary dynamics of a novel Mosquito-Conserved piRNA Cluster Locus (MCpiRCL) made up of satellite DNA repeats. In the larger culicine mosquito genomes we detected highly regular periodicity in piRNA biogenesis patterns coinciding with the expansion of Piwi pathway genes. Finally, our resource enables detection of cross talk between piRNA and siRNA populations in mosquito cells during a response to virus infection. The MSRG resource will aid efforts to dissect and combat the capacity of mosquitoes to tolerate and spread arboviruses.
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Affiliation(s)
- Qicheng Ma
- Department of Biochemistry, Boston University School of Medicine, Boston, Massachusetts 02118, USA
| | - Satyam P Srivastav
- Department of Biochemistry, Boston University School of Medicine, Boston, Massachusetts 02118, USA
| | - Stephanie Gamez
- Division of Biological Sciences, Section of Cell and Developmental Biology, University of California San Diego, La Jolla, California 92093, USA
| | - Gargi Dayama
- Department of Biochemistry, Boston University School of Medicine, Boston, Massachusetts 02118, USA
| | - Fabiana Feitosa-Suntheimer
- Department of Microbiology and the National Emerging Infectious Disease Laboratory, Boston University School of Medicine, Boston, Massachusetts 02118, USA
| | - Edward I Patterson
- Departments of Vector Biology and Tropical Disease Biology, Centre for Neglected Tropical Diseases, Liverpool School of Tropical Medicine, Liverpool L3 5QA, United Kingdom
| | - Rebecca M Johnson
- Department of Entomology, Center for Infectious Disease Dynamics, and the Huck Institutes for the Life Sciences, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Erik M Matson
- Department of Biochemistry, Boston University School of Medicine, Boston, Massachusetts 02118, USA
| | - Alexander S Gold
- Department of Microbiology and the National Emerging Infectious Disease Laboratory, Boston University School of Medicine, Boston, Massachusetts 02118, USA
| | - Douglas E Brackney
- Department of Environmental Sciences, The Connecticut Agricultural Experiment Station, New Haven, Connecticut 06511, USA
| | - John H Connor
- Department of Microbiology and the National Emerging Infectious Disease Laboratory, Boston University School of Medicine, Boston, Massachusetts 02118, USA
| | - Tonya M Colpitts
- Department of Microbiology and the National Emerging Infectious Disease Laboratory, Boston University School of Medicine, Boston, Massachusetts 02118, USA
| | - Grant L Hughes
- Departments of Vector Biology and Tropical Disease Biology, Centre for Neglected Tropical Diseases, Liverpool School of Tropical Medicine, Liverpool L3 5QA, United Kingdom
| | - Jason L Rasgon
- Department of Entomology, Center for Infectious Disease Dynamics, and the Huck Institutes for the Life Sciences, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Tony Nolan
- Departments of Vector Biology and Tropical Disease Biology, Centre for Neglected Tropical Diseases, Liverpool School of Tropical Medicine, Liverpool L3 5QA, United Kingdom
| | - Omar S Akbari
- Division of Biological Sciences, Section of Cell and Developmental Biology, University of California San Diego, La Jolla, California 92093, USA
| | - Nelson C Lau
- Department of Biochemistry, Boston University School of Medicine, Boston, Massachusetts 02118, USA
- Boston University Genome Science Institute and the National Emerging Infectious Disease Laboratory, Boston, Massachusetts 02118, USA
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112
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Mori BA, Coutu C, Chen YH, Campbell EO, Dupuis JR, Erlandson MA, Hegedus DD. De Novo Whole-Genome Assembly of the Swede Midge (Contarinia nasturtii), a Specialist of Brassicaceae, Using Linked-Read Sequencing. Genome Biol Evol 2021; 13:evab036. [PMID: 33662122 PMCID: PMC8011032 DOI: 10.1093/gbe/evab036] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/21/2021] [Indexed: 12/24/2022] Open
Abstract
The swede midge, Contarinia nasturtii, is a cecidomyiid fly that feeds specifically on plants within the Brassicaceae. Plants in this family employ a glucosinolate-myrosinase defense system, which can be highly toxic to nonspecialist feeders. Feeding by C. nasturtii larvae induces gall formation, which can cause substantial yield losses thus making it a significant agricultural pest. A lack of genomic resources, in particular a reference genome, has limited deciphering the mechanisms underlying glucosinolate tolerance in C. nasturtii, which is of particular importance for managing this species. Here, we present an annotated, scaffolded reference genome of C. nasturtii using linked-read sequencing from a single individual and explore systems involved in glucosinolate detoxification. The C. nasturtii genome is similar in size and annotation completeness to that of the Hessian fly, Mayetiola destructor, but has greater contiguity. Several genes encoding enzymes involved in glucosinolate detoxification in other insect pests, including myrosinases, sulfatases, and glutathione S-transferases, were found, suggesting that C. nasturtii has developed similar strategies for feeding on Brassicaceae. The C. nasturtii genome will, therefore, be integral to continued research on plant-insect interactions in this system and contribute to effective pest management strategies.
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Affiliation(s)
- Boyd A Mori
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Cathy Coutu
- Saskatoon Research and Development Centre, Agriculture and Agri-Food Canada, Saskatoon, Saskatchewan, Canada
| | - Yolanda H Chen
- Department of Plant and Soil Sciences, University of Vermont, Burlington, Vermont, USA
| | - Erin O Campbell
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Julian R Dupuis
- Department of Entomology, University of Kentucky, Lexington, Kentucky, USA
| | - Martin A Erlandson
- Saskatoon Research and Development Centre, Agriculture and Agri-Food Canada, Saskatoon, Saskatchewan, Canada
| | - Dwayne D Hegedus
- Saskatoon Research and Development Centre, Agriculture and Agri-Food Canada, Saskatoon, Saskatchewan, Canada
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113
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Rafael MS, Bridi LC, Sharakhov IV, Marinotti O, Sharakhova MV, Timoshevskiy V, Guimarães-Marques GM, Santos VS, da Silva CGN, Astolfi-Filho S, Tadei WP. Physical Mapping of the Anopheles ( Nyssorhynchus) darlingi Genomic Scaffolds. INSECTS 2021; 12:insects12020164. [PMID: 33671870 PMCID: PMC7918962 DOI: 10.3390/insects12020164] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 02/09/2021] [Accepted: 02/11/2021] [Indexed: 11/16/2022]
Abstract
The genome assembly of Anopheles darlingi consists of 2221 scaffolds (N50 = 115,072 bp) and has a size spanning 136.94 Mbp. This assembly represents one of the smallest genomes among Anopheles species. Anopheles darlingi genomic DNA fragments of ~37 Kb were cloned, end-sequenced, and used as probes for fluorescence in situ hybridization (FISH) with salivary gland polytene chromosomes. In total, we mapped nine DNA probes to scaffolds and autosomal arms. Comparative analysis of the An. darlingi scaffolds with homologous sequences of the Anopheles albimanus and Anopheles gambiae genomes identified chromosomal rearrangements among these species. Our results confirmed that physical mapping is a useful tool for anchoring genome assemblies to mosquito chromosomes.
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Affiliation(s)
- Míriam Silva Rafael
- Coordenação de Sociedade Ambiente e Saúde, Laboratório de Vetores de Malária e Dengue, Instituto Nacional de Pesquisas da Amazônia, Av. André Araújo, 2936, Manaus, AM 69060-001, Brazil;
- Programa de Pós-Graduação em Genética, Conservação e Biologia Evolutiv, Instituto Nacional de Pesquisas da Amazônia, Manaus, AM 69060-001, Brazil; (L.C.B.); (G.M.G.-M.); (V.S.S.)
- Correspondence: ; Tel.: +55-092-3643-3066
| | - Leticia Cegatti Bridi
- Programa de Pós-Graduação em Genética, Conservação e Biologia Evolutiv, Instituto Nacional de Pesquisas da Amazônia, Manaus, AM 69060-001, Brazil; (L.C.B.); (G.M.G.-M.); (V.S.S.)
| | - Igor V. Sharakhov
- Department of Entomology and Fralin Life Science Institute, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA; (I.V.S.); (M.V.S.); (V.T.)
- Laboratory of Evolutionary Genomics of Insects, the Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
- Department of Genetics and Cell Biology, Tomsk State University, 634050 Tomsk, Russia
| | | | - Maria V. Sharakhova
- Department of Entomology and Fralin Life Science Institute, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA; (I.V.S.); (M.V.S.); (V.T.)
- Laboratory of Evolutionary Genomics of Insects, the Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
| | - Vladimir Timoshevskiy
- Department of Entomology and Fralin Life Science Institute, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA; (I.V.S.); (M.V.S.); (V.T.)
- Department of Biology, University of Kentucky, Lexington, KY 40506, USA
| | - Giselle Moura Guimarães-Marques
- Programa de Pós-Graduação em Genética, Conservação e Biologia Evolutiv, Instituto Nacional de Pesquisas da Amazônia, Manaus, AM 69060-001, Brazil; (L.C.B.); (G.M.G.-M.); (V.S.S.)
| | - Valéria Silva Santos
- Programa de Pós-Graduação em Genética, Conservação e Biologia Evolutiv, Instituto Nacional de Pesquisas da Amazônia, Manaus, AM 69060-001, Brazil; (L.C.B.); (G.M.G.-M.); (V.S.S.)
| | - Carlos Gustavo Nunes da Silva
- Programa de Pós-Graduação em Biotecnologia, Universidade Federal do Amazonas, Av. Rodrigo Otávio, 6.200. Coroado l, Manaus, AM 69080-900, Brazil;
| | - Spartaco Astolfi-Filho
- Laboratorio de Tecnologias de DNA, Divisão de Biotecnologia, Centro de Apoio Multidisciplinar, Universi dade Federal do Amazonas, Av. Rodrigo Otávio, 6.200. Coroado l, Manaus, AM 69080-900, Brazil;
| | - Wanderli Pedro Tadei
- Coordenação de Sociedade Ambiente e Saúde, Laboratório de Vetores de Malária e Dengue, Instituto Nacional de Pesquisas da Amazônia, Av. André Araújo, 2936, Manaus, AM 69060-001, Brazil;
- Programa de Pós-Graduação em Genética, Conservação e Biologia Evolutiv, Instituto Nacional de Pesquisas da Amazônia, Manaus, AM 69060-001, Brazil; (L.C.B.); (G.M.G.-M.); (V.S.S.)
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114
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The evolution and history of gene editing technologies. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2021; 178:1-62. [PMID: 33685594 DOI: 10.1016/bs.pmbts.2021.01.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Scientific enquiry must be the driving force of research. This sentiment is manifested as the profound impact gene editing technologies are having in our current world. There exist three main gene editing technologies today: Zinc Finger Nucleases, TALENs and the CRISPR-Cas system. When these systems were being uncovered, none of the scientists set out to design tools to engineer genomes. They were simply trying to understand the mechanisms existing in nature. If it was not for this simple sense of wonder, we probably would not have these breakthrough technologies. In this chapter, we will discuss the history, applications and ethical issues surrounding these technologies, focusing on the now predominant CRISPR-Cas technology. Gene editing technologies, as we know them now, are poised to have an overwhelming impact on our world. However, it is impossible to predict the route they will take in the future or to comprehend the full impact of its repercussions.
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115
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Chakraborty M, Ramaiah A, Adolfi A, Halas P, Kaduskar B, Ngo LT, Jayaprasad S, Paul K, Whadgar S, Srinivasan S, Subramani S, Bier E, James AA, Emerson JJ. Hidden genomic features of an invasive malaria vector, Anopheles stephensi, revealed by a chromosome-level genome assembly. BMC Biol 2021; 19:28. [PMID: 33568145 PMCID: PMC7876825 DOI: 10.1186/s12915-021-00963-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 01/19/2021] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND The mosquito Anopheles stephensi is a vector of urban malaria in Asia that recently invaded Africa. Studying the genetic basis of vectorial capacity and engineering genetic interventions are both impeded by limitations of a vector's genome assembly. The existing assemblies of An. stephensi are draft-quality and contain thousands of sequence gaps, potentially missing genetic elements important for its biology and evolution. RESULTS To access previously intractable genomic regions, we generated a reference-grade genome assembly and full transcript annotations that achieve a new standard for reference genomes of disease vectors. Here, we report novel species-specific transposable element (TE) families and insertions in functional genetic elements, demonstrating the widespread role of TEs in genome evolution and phenotypic variation. We discovered 29 previously hidden members of insecticide resistance genes, uncovering new candidate genetic elements for the widespread insecticide resistance observed in An. stephensi. We identified 2.4 Mb of the Y chromosome and seven new male-linked gene candidates, representing the most extensive coverage of the Y chromosome in any mosquito. By tracking full-length mRNA for > 15 days following blood feeding, we discover distinct roles of previously uncharacterized genes in blood metabolism and female reproduction. The Y-linked heterochromatin landscape reveals extensive accumulation of long-terminal repeat retrotransposons throughout the evolution and degeneration of this chromosome. Finally, we identify a novel Y-linked putative transcription factor that is expressed constitutively throughout male development and adulthood, suggesting an important role. CONCLUSION Collectively, these results and resources underscore the significance of previously hidden genomic elements in the biology of malaria mosquitoes and will accelerate the development of genetic control strategies of malaria transmission.
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Affiliation(s)
- Mahul Chakraborty
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA, 92697, USA
| | - Arunachalam Ramaiah
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA, 92697, USA
- Section of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA, 92093-0335, USA
- Tata Institute for Genetics and Society, Center at inStem, Bangalore, Karnataka, 560065, India
| | - Adriana Adolfi
- Department of Microbiology & Molecular Genetics, University of California, Irvine, CA, 92697, USA
| | - Paige Halas
- Department of Microbiology & Molecular Genetics, University of California, Irvine, CA, 92697, USA
| | - Bhagyashree Kaduskar
- Section of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA, 92093-0335, USA
- Tata Institute for Genetics and Society, Center at inStem, Bangalore, Karnataka, 560065, India
| | - Luna Thanh Ngo
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA, 92697, USA
| | - Suvratha Jayaprasad
- Institute of Bioinformatics and Applied Biotechnology, Bangalore, KA, 560100, India
| | - Kiran Paul
- Institute of Bioinformatics and Applied Biotechnology, Bangalore, KA, 560100, India
| | - Saurabh Whadgar
- Institute of Bioinformatics and Applied Biotechnology, Bangalore, KA, 560100, India
| | - Subhashini Srinivasan
- Tata Institute for Genetics and Society, Center at inStem, Bangalore, Karnataka, 560065, India
- Institute of Bioinformatics and Applied Biotechnology, Bangalore, KA, 560100, India
| | - Suresh Subramani
- Tata Institute for Genetics and Society, Center at inStem, Bangalore, Karnataka, 560065, India
- Section of Molecular Biology, University of California, San Diego, La Jolla, CA, 92093-0322, USA
- Tata Institute for Genetics and Society, University of California, San Diego, La Jolla, CA, 92093-0335, USA
| | - Ethan Bier
- Section of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA, 92093-0335, USA
- Tata Institute for Genetics and Society, University of California, San Diego, La Jolla, CA, 92093-0335, USA
| | - Anthony A James
- Department of Microbiology & Molecular Genetics, University of California, Irvine, CA, 92697, USA
- Tata Institute for Genetics and Society, University of California, San Diego, La Jolla, CA, 92093-0335, USA
- Department of Molecular Biology & Biochemistry, University of California, Irvine, CA, 92697, USA
| | - J J Emerson
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA, 92697, USA.
- Center for Complex Biological Systems, University of California, Irvine, CA, 92697, USA.
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116
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Masri RA, Karagodin DA, Sharma A, Sharakhova MV. A Gene-Based Method for Cytogenetic Mapping of Repeat-Rich Mosquito Genomes. INSECTS 2021; 12:138. [PMID: 33561960 PMCID: PMC7916018 DOI: 10.3390/insects12020138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 01/19/2021] [Accepted: 02/01/2021] [Indexed: 11/30/2022]
Abstract
Long-read sequencing technologies have opened up new avenues of research on the mosquito genome biology, enabling scientists to better understand the remarkable abilities of vectors for transmitting pathogens. Although new genome mapping technologies such as Hi-C scaffolding and optical mapping may significantly improve the quality of genomes, only cytogenetic mapping, with the help of fluorescence in situ hybridization (FISH), connects genomic scaffolds to a particular chromosome and chromosome band. This mapping approach is important for creating and validating chromosome-scale genome assemblies for mosquitoes with repeat-rich genomes, which can potentially be misassembled. In this study, we describe a new gene-based physical mapping approach that was optimized using the newly assembled Aedes albopictus genome, which is enriched with transposable elements. To avoid amplification of the repetitive DNA, 15 protein-coding gene transcripts were used for the probe design. Instead of using genomic DNA, complementary DNA was utilized as a template for development of the PCR-amplified probes for FISH. All probes were successfully amplified and mapped to specific chromosome bands. The genome-unique probes allowed to perform unambiguous mapping of genomic scaffolds to chromosome regions. The method described in detail here can be used for physical genome mapping in other insects.
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Affiliation(s)
- Reem A. Masri
- Department of Entomology and the Fralin Life Sciences Institute, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA;
| | - Dmitriy A. Karagodin
- Laboratory of Evolutionary Genomics of Insects, The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia;
| | - Atashi Sharma
- Department of Biochemistry and the Fralin Life Sciences Institute, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA;
| | - Maria V. Sharakhova
- Department of Entomology and the Fralin Life Sciences Institute, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA;
- Laboratory of Evolutionary Genomics of Insects, The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia;
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117
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Gilbert C, Peccoud J, Cordaux R. Transposable Elements and the Evolution of Insects. ANNUAL REVIEW OF ENTOMOLOGY 2021; 66:355-372. [PMID: 32931312 DOI: 10.1146/annurev-ento-070720-074650] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Insects are major contributors to our understanding of the interaction between transposable elements (TEs) and their hosts, owing to seminal discoveries, as well as to the growing number of sequenced insect genomes and population genomics and functional studies. Insect TE landscapes are highly variable both within and across insect orders, although phylogenetic relatedness appears to correlate with similarity in insect TE content. This correlation is unlikely to be solely due to inheritance of TEs from shared ancestors and may partly reflect preferential horizontal transfer of TEs between closely related species. The influence of insect traits on TE landscapes, however, remains unclear. Recent findings indicate that, in addition to being involved in insect adaptations and aging, TEs are seemingly at the cornerstone of insect antiviral immunity. Thus, TEs are emerging as essential insect symbionts that may have deleterious or beneficial consequences on their hosts, depending on context.
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Affiliation(s)
- Clément Gilbert
- Université Paris-Saclay, CNRS, IRD, UMR Évolution, Génomes, Comportement et Écologie, 91198 Gif-sur-Yvette, France;
| | - Jean Peccoud
- Laboratoire Ecologie et Biologie des Interactions, Equipe Ecologie Evolution Symbiose, Unité Mixte de Recherche 7267 Centre National de la Recherche Scientifique, Université de Poitiers, 86073 Poitiers CEDEX 9, France
| | - Richard Cordaux
- Laboratoire Ecologie et Biologie des Interactions, Equipe Ecologie Evolution Symbiose, Unité Mixte de Recherche 7267 Centre National de la Recherche Scientifique, Université de Poitiers, 86073 Poitiers CEDEX 9, France
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118
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Tennessen JA, Ingham VA, Toé KH, Guelbéogo WM, Sagnon N, Kuzma R, Ranson H, Neafsey DE. A population genomic unveiling of a new cryptic mosquito taxon within the malaria-transmitting Anopheles gambiae complex. Mol Ecol 2020; 30:775-790. [PMID: 33253481 DOI: 10.1111/mec.15756] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 11/24/2020] [Indexed: 02/05/2023]
Abstract
The Anopheles gambiae complex consists of multiple morphologically indistinguishable mosquito species including the most important vectors of the malaria parasite Plasmodium falciparum in sub-Saharan Africa. Nine cryptic species have been described so far within the complex. The ecological, immunological and reproductive differences among these species will critically impact population responses to disease control strategies and environmental changes. Here, we examine whole-genome sequencing data from a longitudinal study of putative A. coluzzii in western Burkina Faso. Surprisingly, many specimens are genetically divergent from A. coluzzii and all other Anopheles species and represent a new taxon, here designated Anopheles TENGRELA (AT). Population genetic analysis suggests that the cryptic GOUNDRY subgroup, previously collected as larvae in central Burkina Faso, represents an admixed population descended from both A. coluzzii and AT. AT harbours low nucleotide diversity except for the 2La inversion polymorphism which is maintained by overdominance. It shows numerous fixed differences with A. coluzzii concentrated in several regions reflecting selective sweeps, but the two taxa are identical at standard diagnostic loci used for taxon identification, and thus, AT may often go unnoticed. We present an amplicon-based genotyping assay for identifying AT which could be usefully applied to numerous existing samples. Misidentified cryptic taxa could seriously confound ongoing studies of Anopheles ecology and evolution in western Africa, including phenotypic and genotypic surveys of insecticide resistance. Reproductive barriers between cryptic species may also complicate novel vector control efforts, for example gene drives, and hinder predictions about evolutionary dynamics of Anopheles and Plasmodium.
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Affiliation(s)
- Jacob A Tennessen
- Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Broad Institute, Cambridge, MA, USA
| | | | - Kobié Hyacinthe Toé
- Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou, Burkina Faso
| | | | - N'Falé Sagnon
- Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou, Burkina Faso
| | - Rebecca Kuzma
- Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Broad Institute, Cambridge, MA, USA
| | - Hilary Ranson
- Liverpool School of Tropical Medicine, Liverpool, UK
| | - Daniel E Neafsey
- Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Broad Institute, Cambridge, MA, USA
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119
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Chida AR, Ravi S, Jayaprasad S, Paul K, Saha J, Suresh C, Whadgar S, Kumar N, Rao K R, Ghosh C, Choudhary B, Subramani S, Srinivasan S. A Near-Chromosome Level Genome Assembly of Anopheles stephensi. Front Genet 2020; 11:565626. [PMID: 33312190 PMCID: PMC7703621 DOI: 10.3389/fgene.2020.565626] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 09/28/2020] [Indexed: 12/31/2022] Open
Abstract
Malaria remains a major healthcare risk to growing economies like India, and a chromosome-level reference genome of Anopheles stephensi is critical for successful vector management and understanding of vector evolution using comparative genomics. We report chromosome-level assemblies of an Indian strain, STE2, and a Pakistani strain SDA-500 by combining draft genomes of the two strains using a homology-based iterative approach. The resulting assembly IndV3/PakV3 with L50 of 9/12 and N50 6.3/6.9 Mb had scaffolds long enough for building 90% of the euchromatic regions of the three chromosomes, IndV3s/PakV3s, using low-resolution physical markers and enabled the generation of the next version of genome assemblies, IndV4/PakV4, using HiC data. We have validated these assemblies using contact maps against publicly available HiC raw data from two strains including STE2 and another lab strain of An. stephensi from UCI and compare the quality of the assemblies with other assemblies made available as preprints since the submission of the manuscript. We show that the IndV3s and IndV4 assemblies are sensitive in identifying a homozygous 2Rb inversion in the UCI strain and a 2Rb polymorphism in the STE2 strain. Multiple tandem copies of CYP6a14, 4c1, and 4c21 genes, implicated in insecticide resistance, lie within this inversion locus. Comparison of assembled genomes suggests a variation of 1 in 81 positions between the UCI and STE2 lab strains, 1 in 82 between SDA-500 and UCI strain, and 1 in 113 between SDA-500 and STE2 strains of An. stephensi, which are closer than 1 in 68 variations among individuals from two other lab strains sequenced and reported here. Based on the developmental transcriptome and orthology of all the 54 olfactory receptors (ORs) to those of other Anopheles species, we identify an OR with the potential for host recognition in the genus Anopheles. A comparative analysis of An. stephensi genomes with the completed genomes of a few other Anopheles species suggests limited inter-chromosomal gene flow and loss of synteny within chromosomal arms even among the closely related species.
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Affiliation(s)
- Afiya Razia Chida
- Institute of Bioinformatics and Applied Biotechnology, Bangalore, India
| | - Samathmika Ravi
- Institute of Bioinformatics and Applied Biotechnology, Bangalore, India
| | | | - Kiran Paul
- Institute of Bioinformatics and Applied Biotechnology, Bangalore, India
| | - Jaysmita Saha
- Institute of Bioinformatics and Applied Biotechnology, Bangalore, India
| | - Chinjusha Suresh
- Institute of Bioinformatics and Applied Biotechnology, Bangalore, India
| | - Saurabh Whadgar
- Institute of Bioinformatics and Applied Biotechnology, Bangalore, India
| | - Naveen Kumar
- Tata Institute for Genetics and Society Center at inStem, Bangalore, India
| | - Raksha Rao K
- Institute of Bioinformatics and Applied Biotechnology, Bangalore, India
| | - Chaitali Ghosh
- Tata Institute for Genetics and Society Center at inStem, Bangalore, India
| | - Bibha Choudhary
- Institute of Bioinformatics and Applied Biotechnology, Bangalore, India
| | - Suresh Subramani
- Tata Institute for Genetics and Society Center at inStem, Bangalore, India
| | - Subhashini Srinivasan
- Institute of Bioinformatics and Applied Biotechnology, Bangalore, India
- Tata Institute for Genetics and Society Center at inStem, Bangalore, India
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120
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de Melo ES, Wallau GL. Mosquito genomes are frequently invaded by transposable elements through horizontal transfer. PLoS Genet 2020; 16:e1008946. [PMID: 33253164 PMCID: PMC7728395 DOI: 10.1371/journal.pgen.1008946] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 12/10/2020] [Accepted: 10/19/2020] [Indexed: 12/28/2022] Open
Abstract
Transposable elements (TEs) are mobile genetic elements that parasitize basically all eukaryotic species genomes. Due to their complexity, an in-depth TE characterization is only available for a handful of model organisms. In the present study, we performed a de novo and homology-based characterization of TEs in the genomes of 24 mosquito species and investigated their mode of inheritance. More than 40% of the genome of Aedes aegypti, Aedes albopictus, and Culex quinquefasciatus is composed of TEs, while it varied substantially among Anopheles species (0.13%-19.55%). Class I TEs are the most abundant among mosquitoes and at least 24 TE superfamilies were found. Interestingly, TEs have been extensively exchanged by horizontal transfer (172 TE families of 16 different superfamilies) among mosquitoes in the last 30 million years. Horizontally transferred TEs represents around 7% of the genome in Aedes species and a small fraction in Anopheles genomes. Most of these horizontally transferred TEs are from the three ubiquitous LTR superfamilies: Gypsy, Bel-Pao and Copia. Searching more than 32,000 genomes, we also uncovered transfers between mosquitoes and two different Phyla-Cnidaria and Nematoda-and two subphyla-Chelicerata and Crustacea, identifying a vector, the worm Wuchereria bancrofti, that enabled the horizontal spread of a Tc1-mariner element among various Anopheles species. These data also allowed us to reconstruct the horizontal transfer network of this TE involving more than 40 species. In summary, our results suggest that TEs are frequently exchanged by horizontal transfers among mosquitoes, influencing mosquito's genome size and variability.
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Affiliation(s)
- Elverson Soares de Melo
- Department of Entomology, Aggeu Magalhães Institute–Oswaldo Cruz Foundation (Fiocruz), Recife, Pernambuco, Brazil
| | - Gabriel Luz Wallau
- Department of Entomology, Aggeu Magalhães Institute–Oswaldo Cruz Foundation (Fiocruz), Recife, Pernambuco, Brazil
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121
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Greenhalgh R, Dermauw W, Glas JJ, Rombauts S, Wybouw N, Thomas J, Alba JM, Pritham EJ, Legarrea S, Feyereisen R, Van de Peer Y, Van Leeuwen T, Clark RM, Kant MR. Genome streamlining in a minute herbivore that manipulates its host plant. eLife 2020; 9:56689. [PMID: 33095158 PMCID: PMC7738191 DOI: 10.7554/elife.56689] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 10/22/2020] [Indexed: 12/12/2022] Open
Abstract
The tomato russet mite, Aculops lycopersici, is among the smallest animals on earth. It is a worldwide pest on tomato and can potently suppress the host's natural resistance. We sequenced its genome, the first of an eriophyoid, and explored whether there are genomic features associated with the mite's minute size and lifestyle. At only 32.5 Mb, the genome is the smallest yet reported for any arthropod and, reminiscent of microbial eukaryotes, exceptionally streamlined. It has few transposable elements, tiny intergenic regions, and is remarkably intron-poor, as more than 80% of coding genes are intronless. Furthermore, in accordance with ecological specialization theory, this defense-suppressing herbivore has extremely reduced environmental response gene families such as those involved in chemoreception and detoxification. Other losses associate with this species' highly derived body plan. Our findings accelerate the understanding of evolutionary forces underpinning metazoan life at the limits of small physical and genome size.
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Affiliation(s)
- Robert Greenhalgh
- School of Biological Sciences, University of Utah, Salt Lake City, United States
| | - Wannes Dermauw
- Laboratory of Agrozoology, Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
| | - Joris J Glas
- Department of Evolutionary and Population Biology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, Netherlands
| | - Stephane Rombauts
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.,Center for Plant Systems Biology, VIB, Ghent, Belgium
| | - Nicky Wybouw
- Laboratory of Agrozoology, Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
| | - Jainy Thomas
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, United States
| | - Juan M Alba
- Department of Evolutionary and Population Biology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, Netherlands
| | - Ellen J Pritham
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, United States
| | - Saioa Legarrea
- Department of Evolutionary and Population Biology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, Netherlands
| | - René Feyereisen
- Laboratory of Agrozoology, Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.,Department of Plant and Environmental Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Yves Van de Peer
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.,Center for Plant Systems Biology, VIB, Ghent, Belgium.,Centre for Microbial Ecology and Genomics, Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa
| | - Thomas Van Leeuwen
- Laboratory of Agrozoology, Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
| | - Richard M Clark
- School of Biological Sciences, University of Utah, Salt Lake City, United States.,Henry Eyring Center for Cell and Genome Science, University of Utah, Salt Lake City, United States
| | - Merijn R Kant
- Department of Evolutionary and Population Biology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, Netherlands
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122
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Mao S, Song Z, Wu M, Wang X, Lu F, Qin HM. Expression, Purification, Refolding, and Characterization of a Neverland Protein From Caenorhabditis elegans. Front Bioeng Biotechnol 2020; 8:593041. [PMID: 33195160 PMCID: PMC7609953 DOI: 10.3389/fbioe.2020.593041] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Accepted: 09/24/2020] [Indexed: 11/23/2022] Open
Abstract
Steroid hormones that serve as vital compounds are necessary for the development and metabolism of a variety of organisms. The neverland (NVD) family genes encode the conserved Rieske-type oxygenases, which are accountable for the dehydrogenation during the synthesis and regulation of steroid hormones. However, the His-tagged NVD protein from Caenorhabditis elegans expresses as inclusion bodies in Escherichia coli BL21 (DE3). This bottleneck can be solved through refolding by urea or the introduction of a maltose-binding protein (MBP) tag at the N-terminus. Through further research on purification after the introduction of a MBP tag at the N-terminus, the CD measurement and fluorescence-based thermal shift assay indicated that MBP was favorable for the NVD proteins' solubility and stability, which may be beneficial for the large-scale manufacture of NVD protein for further research. The structural model contained the Rieske [2Fe-2S] domain and non-heme iron-binding motif, which were similar to 3-ketosteroid 9 α-hydroxylase.
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Affiliation(s)
- Shuhong Mao
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin University of Science and Technology, Tianjin, China
- Tianjin Key Laboratory of Industrial Microbiology, Tianjin University of Science and Technology, Tianjin, China
- College of Biotechnology, Tianjin University of Science and Technology, Tianjin, China
- National Engineering Laboratory for Industrial Enzymes, Tianjin, China
| | - Zhan Song
- College of Biotechnology, Tianjin University of Science and Technology, Tianjin, China
| | - Mian Wu
- College of Biotechnology, Tianjin University of Science and Technology, Tianjin, China
| | - Xiaorui Wang
- College of Biotechnology, Tianjin University of Science and Technology, Tianjin, China
| | - Fuping Lu
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin University of Science and Technology, Tianjin, China
- Tianjin Key Laboratory of Industrial Microbiology, Tianjin University of Science and Technology, Tianjin, China
- College of Biotechnology, Tianjin University of Science and Technology, Tianjin, China
- National Engineering Laboratory for Industrial Enzymes, Tianjin, China
| | - Hui-Min Qin
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin University of Science and Technology, Tianjin, China
- Tianjin Key Laboratory of Industrial Microbiology, Tianjin University of Science and Technology, Tianjin, China
- College of Biotechnology, Tianjin University of Science and Technology, Tianjin, China
- National Engineering Laboratory for Industrial Enzymes, Tianjin, China
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123
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Genome variation and population structure among 1142 mosquitoes of the African malaria vector species Anopheles gambiae and Anopheles coluzzii. Genome Res 2020; 30:1533-1546. [PMID: 32989001 PMCID: PMC7605271 DOI: 10.1101/gr.262790.120] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 08/27/2020] [Indexed: 01/03/2023]
Abstract
Mosquito control remains a central pillar of efforts to reduce malaria burden in sub-Saharan Africa. However, insecticide resistance is entrenched in malaria vector populations, and countries with a high malaria burden face a daunting challenge to sustain malaria control with a limited set of surveillance and intervention tools. Here we report on the second phase of a project to build an open resource of high-quality data on genome variation among natural populations of the major African malaria vector species Anopheles gambiae and Anopheles coluzzii We analyzed whole genomes of 1142 individual mosquitoes sampled from the wild in 13 African countries, as well as a further 234 individuals comprising parents and progeny of 11 laboratory crosses. The data resource includes high-confidence single-nucleotide polymorphism (SNP) calls at 57 million variable sites, genome-wide copy number variation (CNV) calls, and haplotypes phased at biallelic SNPs. We use these data to analyze genetic population structure and characterize genetic diversity within and between populations. We illustrate the utility of these data by investigating species differences in isolation by distance, genetic variation within proposed gene drive target sequences, and patterns of resistance to pyrethroid insecticides. This data resource provides a foundation for developing new operational systems for molecular surveillance and for accelerating research and development of new vector control tools. It also provides a unique resource for the study of population genomics and evolutionary biology in eukaryotic species with high levels of genetic diversity under strong anthropogenic evolutionary pressures.
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124
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Fernando DD, Fischer K. Proteases and pseudoproteases in parasitic arthropods of clinical importance. FEBS J 2020; 287:4284-4299. [PMID: 32893448 DOI: 10.1111/febs.15546] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Revised: 08/18/2020] [Accepted: 08/28/2020] [Indexed: 12/19/2022]
Abstract
Parasitic arthropods feed on blood or skin tissue and share comparable repertoires of proteases involved in haematophagy, digestion, egg development and immunity. While proteolytically active proteases of multiple classes dominate, an increasing number of pseudoproteases have been discovered that have no proteolytic function but are pharmacologically active biomolecules, evolved to carry out alternative functions as regulatory, antihaemostatic, anti-inflammatory or immunomodulatory compounds. In this review, we provide an overview of proteases and pseudoproteases from clinically important arthropod parasites. Many of these act in central biological pathways of parasite survival and host-parasite interaction and may be potential targets for therapeutic interventions.
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Affiliation(s)
- Deepani Darshika Fernando
- Cell and Molecular Biology Department, Infectious Diseases Program, QIMR Berghofer Medical Research Institute, Brisbane, Qld, Australia
| | - Katja Fischer
- Cell and Molecular Biology Department, Infectious Diseases Program, QIMR Berghofer Medical Research Institute, Brisbane, Qld, Australia
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125
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Jia N, Wang J, Shi W, Du L, Sun Y, Zhan W, Jiang JF, Wang Q, Zhang B, Ji P, Bell-Sakyi L, Cui XM, Yuan TT, Jiang BG, Yang WF, Lam TTY, Chang QC, Ding SJ, Wang XJ, Zhu JG, Ruan XD, Zhao L, Wei JT, Ye RZ, Que TC, Du CH, Zhou YH, Cheng JX, Dai PF, Guo WB, Han XH, Huang EJ, Li LF, Wei W, Gao YC, Liu JZ, Shao HZ, Wang X, Wang CC, Yang TC, Huo QB, Li W, Chen HY, Chen SE, Zhou LG, Ni XB, Tian JH, Sheng Y, Liu T, Pan YS, Xia LY, Li J, Zhao F, Cao WC. Large-Scale Comparative Analyses of Tick Genomes Elucidate Their Genetic Diversity and Vector Capacities. Cell 2020; 182:1328-1340.e13. [PMID: 32814014 DOI: 10.1016/j.cell.2020.07.023] [Citation(s) in RCA: 171] [Impact Index Per Article: 34.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 06/01/2020] [Accepted: 07/17/2020] [Indexed: 12/12/2022]
Abstract
Among arthropod vectors, ticks transmit the most diverse human and animal pathogens, leading to an increasing number of new challenges worldwide. Here we sequenced and assembled high-quality genomes of six ixodid tick species and further resequenced 678 tick specimens to understand three key aspects of ticks: genetic diversity, population structure, and pathogen distribution. We explored the genetic basis common to ticks, including heme and hemoglobin digestion, iron metabolism, and reactive oxygen species, and unveiled for the first time that genetic structure and pathogen composition in different tick species are mainly shaped by ecological and geographic factors. We further identified species-specific determinants associated with different host ranges, life cycles, and distributions. The findings of this study are an invaluable resource for research and control of ticks and tick-borne diseases.
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Affiliation(s)
- Na Jia
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China; Research Unit of Discovery and Tracing of Natural Focus Diseases, Chinese Academy of Medical Sciences, Beijing 100071, P.R. China
| | - Jinfeng Wang
- Computational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, P.R. China; State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, P.R. China
| | - Wenqiang Shi
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China
| | - Lifeng Du
- Computational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, P.R. China; Institute of EcoHealth, School of Public Health, Shandong University, 44 Wenhuaxi Street, Jinan 250012, Shandong, P.R. China
| | - Yi Sun
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China
| | - Wei Zhan
- Annoroad Gene Technology (Beijing) Company Limited, Beijing 100176, P.R. China
| | - Jia-Fu Jiang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China; Research Unit of Discovery and Tracing of Natural Focus Diseases, Chinese Academy of Medical Sciences, Beijing 100071, P.R. China
| | - Qian Wang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China; Institute of EcoHealth, School of Public Health, Shandong University, 44 Wenhuaxi Street, Jinan 250012, Shandong, P.R. China
| | - Bing Zhang
- Computational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, P.R. China
| | - Peifeng Ji
- Computational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, P.R. China
| | - Lesley Bell-Sakyi
- Department of Infection Biology and Microbiomes, Institute of Infection, Ecological and Veterinary Sciences, University of Liverpool, Liverpool L3 5RF, UK
| | - Xiao-Ming Cui
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China; Research Unit of Discovery and Tracing of Natural Focus Diseases, Chinese Academy of Medical Sciences, Beijing 100071, P.R. China
| | - Ting-Ting Yuan
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China
| | - Bao-Gui Jiang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China
| | - Wei-Fei Yang
- Annoroad Gene Technology (Beijing) Company Limited, Beijing 100176, P.R. China
| | - Tommy Tsan-Yuk Lam
- State Key Laboratory of Emerging Infectious Diseases and Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong SAR, China
| | - Qiao-Cheng Chang
- College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing 163319, Heilongjiang, P.R. China
| | - Shu-Jun Ding
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Communicable Disease Control and Prevention, Jinan 250014, Shandong, P.R. China
| | - Xian-Jun Wang
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Communicable Disease Control and Prevention, Jinan 250014, Shandong, P.R. China
| | - Jin-Guo Zhu
- ManZhouLi Customs District, Manzhouli 021400, Inner Mongolia, P.R. China
| | - Xiang-Dong Ruan
- Academy of Forest Inventory and Planning, State Forestry and Grassland Administration, Beijing 100714, P.R. China
| | - Lin Zhao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China; Institute of EcoHealth, School of Public Health, Shandong University, 44 Wenhuaxi Street, Jinan 250012, Shandong, P.R. China
| | - Jia-Te Wei
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China; Institute of EcoHealth, School of Public Health, Shandong University, 44 Wenhuaxi Street, Jinan 250012, Shandong, P.R. China
| | - Run-Ze Ye
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China; Institute of EcoHealth, School of Public Health, Shandong University, 44 Wenhuaxi Street, Jinan 250012, Shandong, P.R. China
| | - Teng Cheng Que
- Guangxi Zhuang Autonomous Region Terrestrial Wildlife Medical-aid and Monitoring Epidemic Diseases Research Center, Nanjing 530028, Guangxi, P.R. China
| | - Chun-Hong Du
- Yunnan Institute for Endemic Diseases Control and Prevention, Dali 671000, Yunnan, P.R. China
| | - Yu-Hao Zhou
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China
| | - Jing Xia Cheng
- Shanxi Provence Center for Disease Control and Prevention, Xian 030012, Shanxi, P.R. China
| | - Pei-Fang Dai
- Shanxi Provence Center for Disease Control and Prevention, Xian 030012, Shanxi, P.R. China
| | - Wen-Bin Guo
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China
| | - Xiao-Hu Han
- Shenyang Agriculture University, Shenyang 110866, Liaoning, P.R. China
| | - En-Jiong Huang
- Fuzhou International Travel Healthcare Center, Fuzhou 350001, Fujian, P.R. China
| | - Lian-Feng Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China
| | - Wei Wei
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China
| | - Yu-Chi Gao
- Annoroad Gene Technology (Beijing) Company Limited, Beijing 100176, P.R. China
| | - Jing-Ze Liu
- Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life Sciences, Hebei Normal University, Shijiazhuang 050024, Hebei, P.R. China
| | - Hong-Ze Shao
- Animal Husbandry and Veterinary Science Research Institute of Jilin Province, Changchun 130062, Jilin, P.R. China
| | - Xin Wang
- Qingjiangpu District Center for Disease Control and Prevention, Huai'an 223001, Jiangsu, P.R. China
| | - Chong-Cai Wang
- Hainan International Travel Healthcare Center, Haikou 570311, Hainan, P.R. China
| | - Tian-Ci Yang
- State Key Lab of Mosquito-borne Diseases, Hangzhou International Tourism Healthcare Center, Hangzhou Customs of China, Hangzhou 310012, Zhejiang, P.R. China
| | - Qiu-Bo Huo
- Mudanjiang Forestry Central Hospital, Mudanjiang 157000, Heilongjiang, P.R. China
| | - Wei Li
- Xinjiang Center for Disease Control and Prevention, Urumqi 830002, Xinjiang, P.R. China
| | - Hai-Ying Chen
- Collaboration Unit for Field Epidemiology of the State Key Laboratory for Infectious Disease Prevention and Control, Nanchang Center for Disease Control and Prevention. Nanchang 330038, Jiangxi, P.R. China
| | - Shen-En Chen
- Collaboration Unit for Field Epidemiology of the State Key Laboratory for Infectious Disease Prevention and Control, Nanchang Center for Disease Control and Prevention. Nanchang 330038, Jiangxi, P.R. China
| | - Ling-Guo Zhou
- Shaanxi Natural Reserve and Wildlife Administration Station, Xi'an 710082, Shaanxi, P.R. China
| | - Xue-Bing Ni
- State Key Laboratory of Emerging Infectious Diseases and Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong SAR, China
| | - Jun-Hua Tian
- Wuhan Center for Disease Control and Prevention, Wuhan 430015, Hubei, P.R. China
| | - Yue Sheng
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China
| | - Tao Liu
- Annoroad Gene Technology (Beijing) Company Limited, Beijing 100176, P.R. China
| | - Yu-Sheng Pan
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China
| | - Luo-Yuan Xia
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China
| | - Jie Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China
| | - Fangqing Zhao
- Computational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, P.R. China; State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, P.R. China; Research Unit of Discovery and Tracing of Natural Focus Diseases, Chinese Academy of Medical Sciences, Beijing 100071, P.R. China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, Yunan, P.R. China; Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, Zhejiang, P.R. China; University of the Chinese Academy of Sciences, Beijing 100049, P.R. China.
| | - Wu-Chun Cao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P.R. China; Institute of EcoHealth, School of Public Health, Shandong University, 44 Wenhuaxi Street, Jinan 250012, Shandong, P.R. China; Research Unit of Discovery and Tracing of Natural Focus Diseases, Chinese Academy of Medical Sciences, Beijing 100071, P.R. China.
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Abstract
This study has taken advantage of the availability of the assembled genomic sequence of flies, mosquitos, ants and bees to explore the presence of ultraconserved sequence elements in these phylogenetic groups. We compared non-coding sequences found within and flanking Drosophila developmental genes to homologous sequences in Ceratitis capitata and Musca domestica. Many of the conserved sequence blocks (CSBs) that constitute Drosophila cis-regulatory DNA, recognized by EvoPrinter alignment protocols, are also conserved in Ceratitis and Musca. Also conserved is the position but not necessarily the orientation of many of these ultraconserved CSBs (uCSBs) with respect to flanking genes. Using the mosquito EvoPrint algorithm, we have also identified uCSBs shared among distantly related mosquito species. Side by side comparison of bee and ant EvoPrints of selected developmental genes identify uCSBs shared between these two Hymenoptera, as well as less conserved CSBs in either one or the other taxon but not in both. Analysis of uCSBs in these dipterans and Hymenoptera will lead to a greater understanding of their evolutionary origin and function of their conserved non-coding sequences and aid in discovery of core elements of enhancers. This study applies the phylogenetic footprinting program EvoPrinter to detection of ultraconserved non-coding sequence elements in Diptera, including flies and mosquitos, and Hymenoptera, including ants and bees. EvoPrinter outputs an interspecies comparison as a single sequence in terms of the input reference sequence. Ultraconserved sequences flanking known developmental genes were detected in Ceratitis and Musca when compared with Drosophila species, in Aedes and Culex when compared with Anopheles, and between ants and bees. Our methods are useful in detecting and understanding the core evolutionarily hardened sequences required for gene regulation.
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127
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Nurk S, Walenz BP, Rhie A, Vollger MR, Logsdon GA, Grothe R, Miga KH, Eichler EE, Phillippy AM, Koren S. HiCanu: accurate assembly of segmental duplications, satellites, and allelic variants from high-fidelity long reads. Genome Res 2020; 30:1291-1305. [PMID: 32801147 PMCID: PMC7545148 DOI: 10.1101/gr.263566.120] [Citation(s) in RCA: 420] [Impact Index Per Article: 84.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Accepted: 08/04/2020] [Indexed: 12/14/2022]
Abstract
Complete and accurate genome assemblies form the basis of most downstream genomic analyses and are of critical importance. Recent genome assembly projects have relied on a combination of noisy long-read sequencing and accurate short-read sequencing, with the former offering greater assembly continuity and the latter providing higher consensus accuracy. The recently introduced Pacific Biosciences (PacBio) HiFi sequencing technology bridges this divide by delivering long reads (>10 kbp) with high per-base accuracy (>99.9%). Here we present HiCanu, a modification of the Canu assembler designed to leverage the full potential of HiFi reads via homopolymer compression, overlap-based error correction, and aggressive false overlap filtering. We benchmark HiCanu with a focus on the recovery of haplotype diversity, major histocompatibility complex (MHC) variants, satellite DNAs, and segmental duplications. For diploid human genomes sequenced to 30× HiFi coverage, HiCanu achieved superior accuracy and allele recovery compared to the current state of the art. On the effectively haploid CHM13 human cell line, HiCanu achieved an NG50 contig size of 77 Mbp with a per-base consensus accuracy of 99.999% (QV50), surpassing recent assemblies of high-coverage, ultralong Oxford Nanopore Technologies (ONT) reads in terms of both accuracy and continuity. This HiCanu assembly correctly resolves 337 out of 341 validation BACs sampled from known segmental duplications and provides the first preliminary assemblies of nine complete human centromeric regions. Although gaps and errors still remain within the most challenging regions of the genome, these results represent a significant advance toward the complete assembly of human genomes.
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Affiliation(s)
- Sergey Nurk
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Brian P Walenz
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Mitchell R Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA
| | - Glennis A Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA
| | - Robert Grothe
- Pacific Biosciences, Menlo Park, California 94025, USA
| | - Karen H Miga
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, California 95064, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20894, USA
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Hul LM, Ibelli AMG, Peixoto JDO, Souza MR, Savoldi IR, Marcelino DEP, Tremea M, Ledur MC. Reference genes for proximal femoral epiphysiolysis expression studies in broilers cartilage. PLoS One 2020; 15:e0238189. [PMID: 32841273 PMCID: PMC7447007 DOI: 10.1371/journal.pone.0238189] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 08/11/2020] [Indexed: 12/18/2022] Open
Abstract
The use of reference genes is required for relative quantification in gene expression analysis and the stability of these genes can be variable depending on the experimental design. Therefore, it is indispensable to test the reliability of endogenous genes previously to their use. This study evaluated nine candidate reference genes to select the most stable genes to be used as reference in gene expression studies with the femoral cartilage of normal and epiphysiolysis-affected broilers. The femur articular cartilage of 29 male broilers with 35 days of age was collected, frozen and further submitted to RNA extraction and quantitative PCR (qPCR) analysis. The candidate reference genes evaluated were GAPDH, HMBS, HPRT1, MRPS27, MRPS30, RPL30, RPL4, RPL5, and RPLP1. For the gene stability evaluation, three software were used: GeNorm, BestKeeper and NormFinder, and a global ranking was generated using the function RankAggreg. In this study, the RPLP1 and RPL5 were the most reliable endogenous genes being recommended for expression studies with femur cartilage in broilers with epiphysiolysis and possible other femur anomalies.
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Affiliation(s)
- Ludmila Mudri Hul
- Programa de Pós-Graduação em Ciências Veterinárias, Universidade Estadual do Centro-Oeste, Guarapuava, Paraná, Brazil
| | - Adriana Mércia Guaratini Ibelli
- Programa de Pós-Graduação em Ciências Veterinárias, Universidade Estadual do Centro-Oeste, Guarapuava, Paraná, Brazil
- Embrapa Suínos e Aves, Concórdia, Santa Catarina, Brazil
| | - Jane de Oliveira Peixoto
- Programa de Pós-Graduação em Ciências Veterinárias, Universidade Estadual do Centro-Oeste, Guarapuava, Paraná, Brazil
- Embrapa Suínos e Aves, Concórdia, Santa Catarina, Brazil
| | - Mayla Regina Souza
- Programa de Pós-Graduação em Zootecnia, UDESC-Oeste, Chapecó, Santa Catarina, Brazil
| | - Igor Ricardo Savoldi
- Programa de Pós-Graduação em Zootecnia, UDESC-Oeste, Chapecó, Santa Catarina, Brazil
| | | | - Mateus Tremea
- Universidade Federal de Santa Maria, campus Palmeira das Missões, Rio Grande do Sul, Brazil
| | - Mônica Corrêa Ledur
- Embrapa Suínos e Aves, Concórdia, Santa Catarina, Brazil
- Programa de Pós-Graduação em Zootecnia, UDESC-Oeste, Chapecó, Santa Catarina, Brazil
- * E-mail:
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129
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Deitz KC, Takken W, Slotman MA. The Genetic Architecture of Post-Zygotic Reproductive Isolation Between Anopheles coluzzii and An. quadriannulatus. Front Genet 2020; 11:925. [PMID: 33005168 PMCID: PMC7480394 DOI: 10.3389/fgene.2020.00925] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 07/24/2020] [Indexed: 11/15/2022] Open
Abstract
The Anopheles gambiae complex is comprised of eight morphologically indistinguishable species and has emerged as a model system for the study of speciation genetics due to the rapid radiation of its member species over the past two million years. Male hybrids between most An. gambiae complex species pairs are sterile, and some genotype combinations in hybrid males cause inviability. We investigated the genetic basis of hybrid male inviability and sterility between An. coluzzii and An. quadriannulatus by measuring segregation distortion and performing a QTL analysis of sterility in a backcross population. Hybrid males were inviable if they inherited the An. coluzzii X chromosome and were homozygous at one or more loci in 18.9 Mb region of chromosome 3. The An. coluzzii X chromosome has a disproportionately large effect on hybrid sterility when introgressed into an An. quadriannulatus genetic background. Additionally, an epistatic interaction between the An. coluzzii X and a 1.12 Mb, pericentric region of the An. quadriannulatus 3L chromosome arm has a statistically significant contribution to the hybrid sterility phenotype. This same epistatic interaction occurs when the An. coluzzii X is introgressed into the genetic background of An. arabiensis, the sister species of An. quadriannulatus, suggesting that this may represent one of the first Dobzhansky-Muller incompatibilities to evolve early in the radiation of the Anopheles gambiae species complex. We describe the additive effects of each sterility QTL, epistatic interactions between them, and genes within QTL with protein functions related to mating behavior, reproduction, spermatogenesis, and microtubule morphogenesis, whose divergence may contribute to post-zygotic reproductive isolation between An. coluzzii and An. quadriannulatus.
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Affiliation(s)
- Kevin C. Deitz
- Department of Entomology, Texas A&M University, College Station, TX, United States
| | - Willem Takken
- Laboratory of Entomology, Wageningen University and Research, Wageningen, Netherlands
| | - Michel A. Slotman
- Department of Entomology, Texas A&M University, College Station, TX, United States
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Compton A, Sharakhov IV, Tu Z. Recent advances and future perspectives in vector-omics. CURRENT OPINION IN INSECT SCIENCE 2020; 40:94-103. [PMID: 32650287 PMCID: PMC8041138 DOI: 10.1016/j.cois.2020.05.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 05/07/2020] [Accepted: 05/18/2020] [Indexed: 06/11/2023]
Abstract
We have reviewed recent progress and the remaining challenges in vector-omics. We have highlighted several technologies and applications that facilitate novel biological insights beyond achieving a reference-quality genome assembly. Among other topics, we have discussed the applications of chromatin conformation capture, chromatin accessibility assays, optical mapping, full-length RNA sequencing, single cell RNA analysis, proteomics, and population genomics. We anticipate that we will witness a great expansion in vector-omics research not only in its application in a broad range of species, but also its ability to uncover novel genetic elements and tackle previously inaccessible regions of the genome. It is our hope that the continued innovation in device portability, cost reduction, and informatics support will in the foreseeable future bring vector-omics to every vector laboratory and field station in the world, which will have an unparalleled impact on basic research and the control of vector-borne infectious diseases.
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Affiliation(s)
- Austin Compton
- Department of Biochemistry, Virginia Tech, Blacksburg, VA 24061, United States; Fralin Life Science Institute, Virginia Tech, Blacksburg, VA 24061, United States
| | - Igor V Sharakhov
- Fralin Life Science Institute, Virginia Tech, Blacksburg, VA 24061, United States; Department of Entomology, Virginia Tech, Blacksburg, VA 24061, United States; The Interdisciplinary PhD Program in Genetics, Bioinformatics, and Computational Biology, Virginia Tech, Blacksburg, VA 24061, United States; Department of Genetics and Cell Biology, Tomsk State University, Tomsk 634050, Russia
| | - Zhijian Tu
- Department of Biochemistry, Virginia Tech, Blacksburg, VA 24061, United States; Department of Entomology, Virginia Tech, Blacksburg, VA 24061, United States; The Interdisciplinary PhD Program in Genetics, Bioinformatics, and Computational Biology, Virginia Tech, Blacksburg, VA 24061, United States.
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131
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Ribeiro JMC, Mans BJ. TickSialoFam (TSFam): A Database That Helps to Classify Tick Salivary Proteins, a Review on Tick Salivary Protein Function and Evolution, With Considerations on the Tick Sialome Switching Phenomenon. Front Cell Infect Microbiol 2020; 10:374. [PMID: 32850476 PMCID: PMC7396615 DOI: 10.3389/fcimb.2020.00374] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Accepted: 06/17/2020] [Indexed: 01/09/2023] Open
Abstract
Tick saliva contains a complex mixture of peptides and non-peptides that counteract their hosts' hemostasis, immunity, and tissue-repair reactions. Recent transcriptomic studies have revealed over one thousand different transcripts coding for secreted polypeptides in a single tick species. Not only do these gene products belong to many expanded families, such as the lipocalins, metalloproteases, Antigen-5, cystatins, and apyrases, but also families that are found exclusively in ticks, such as the evasins, Isac, DAP36, and many others. Phylogenetic analysis of the deduced protein sequences indicate that the salivary genes exhibit an increased rate of evolution due to a lower evolutionary constraint and/or positive selection, allowing for a large diversity of tick salivary proteins. Thus, for each new tick species that has its salivary transcriptome sequenced and assembled, a formidable task of annotation of these transcripts awaits. Currently, as of November 2019, there are over 287 thousand coding sequences deposited at the National Center for Biotechnology Information (NCBI) that are derived from tick salivary gland mRNA. Here, from these 287 thousand sequences we identified 45,264 potential secretory proteins which possess a signal peptide and no transmembrane domains on the mature peptide. By using the psiblast tools, position-specific matrices were constructed and assembled into the TickSialoFam (TSF) database. The TSF is a rpsblastable database that can help with the annotation of tick sialotranscriptomes. The TSA database identified 136 tick salivary secreted protein families, as well as 80 families of endosomal-related products, mostly having a protein modification function. As the number of sequences increases, and new annotation details become available, new releases of the TSF database may become available.
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Affiliation(s)
- José M. C. Ribeiro
- Section of Vector Biology, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, Rockville, MD, United States
| | - Ben J. Mans
- Epidemiology, Parasites and Vectors, Agricultural Research Council - Onderstepoort Veterinary Research, Pretoria, South Africa
- The Department of Veterinary Tropical Diseases, University of Pretoria, Pretoria, South Africa
- Department of Life and Consumer Sciences, University of South Africa, Pretoria, South Africa
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Qasim M, Xiao H, He K, Omar MAA, Liu F, Ahmed S, Li F. Genetic engineering and bacterial pathogenesis against the vectorial capacity of mosquitoes. Microb Pathog 2020; 147:104391. [PMID: 32679245 DOI: 10.1016/j.micpath.2020.104391] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 07/05/2020] [Accepted: 07/09/2020] [Indexed: 12/19/2022]
Abstract
Mosquitoes are the main vector of multiple diseases worldwide and transmit viral (malaria, chikungunya, encephalitis, yellow fever, as well as dengue fever), as well as bacterial diseases (tularemia). To manage the outbreak of mosquito populations, various management programs include the application of chemicals, followed by biological and genetic control. Here we aimed to focus on the role of bacterial pathogenesis and molecular tactics for the management of mosquitoes and their vectorial capacity. Bacterial pathogenesis and molecular manipulations have a substantial impact on the biology of mosquitoes, and both strategies change the gene expression and regulation of disease vectors. The strategy for genetic modification is also proved to be excellent for the management of mosquitoes, which halt the development of population via incompatibility of different sex. Therefore, the purpose of the present discussion is to illustrate the impact of both approaches against the vectorial capacity of mosquitoes. Moreover, it could be helpful to understand the relationship of insect-pathogen and to manage various insect vectors as well as diseases.
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Affiliation(s)
- Muhammad Qasim
- Ministry of Agricultural and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Institute of Insect Sciences, College of Agriculture & Biotechnology, Zhejiang University, Hangzhou, 310058, China.
| | - Huamei Xiao
- Ministry of Agricultural and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Institute of Insect Sciences, College of Agriculture & Biotechnology, Zhejiang University, Hangzhou, 310058, China; College of Life Sciences and Resource Environment, Key Laboratory of Crop Growth and Development Regulation of Jiangxi Province, Yichun University, Yichun, 336000, China
| | - Kang He
- Ministry of Agricultural and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Institute of Insect Sciences, College of Agriculture & Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Mohamed A A Omar
- Ministry of Agricultural and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Institute of Insect Sciences, College of Agriculture & Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Feiling Liu
- Ministry of Agricultural and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Institute of Insect Sciences, College of Agriculture & Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Sohail Ahmed
- Department of Entomology, University of Agriculture, Faisalabad, 38040, Pakistan
| | - Fei Li
- Ministry of Agricultural and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Institute of Insect Sciences, College of Agriculture & Biotechnology, Zhejiang University, Hangzhou, 310058, China.
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Martínez-Alarcón D, Hagen W, Held C, Saborowski R. Molecular aspects of lipid metabolism in the midgut gland of the brown shrimp Crangon crangon. Comp Biochem Physiol B Biochem Mol Biol 2020; 248-249:110465. [PMID: 32621989 DOI: 10.1016/j.cbpb.2020.110465] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 06/12/2020] [Accepted: 06/22/2020] [Indexed: 11/30/2022]
Abstract
The brown shrimp, Crangon crangon, is well adapted to the variable environmental conditions in the southern North Sea. It is very abundant, has high reproduction rates, and holds a key position in coastal ecosystems. This species has very low lipid deposits in the midgut gland, suggesting that the main function of the midgut gland is metabolic turnover rather than energy storage. Based on seasonal gene expression studies and established transcriptome data, we investigated key components of lipid metabolic pathways. Gene expression of triacylglycerol lipase, phospholipase, and fatty acid desaturase were analyzed and compared with that of other digestive enzymes involved in lipid, carbohydrate, and protein catabolism. Our results suggest that gene expression of digestive enzymes involved in lipid metabolism is modulated by the lipid content in the midgut gland and is related to food availability. Brown shrimp seem to be capable of using cellular phospholipids during periods of food paucity but high energetic (lipid) requirements. Two of three isoforms of fatty acid binding proteins (FABPs) from the midgut gland involved in fatty acid transport showed specific mutations of the binding site. We hypothesize that the mutations in FABPs and deficiencies in anabolic pathways limit lipid storage capacities in the midgut gland of C. crangon. In turn, food utilization, including lipid catabolism, has to be efficient to fulfill the energetic requirements of brown shrimp.
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Affiliation(s)
- Diana Martínez-Alarcón
- Bremen Marine Ecology (BreMarE), Marine Zoology, University of Bremen, P.O. Box 330440, 28334 Bremen, Germany; Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Functional Ecology, P.O. Box 120161, 27515 Bremerhaven, Germany
| | - Wilhelm Hagen
- Bremen Marine Ecology (BreMarE), Marine Zoology, University of Bremen, P.O. Box 330440, 28334 Bremen, Germany
| | - Christoph Held
- Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Functional Ecology, P.O. Box 120161, 27515 Bremerhaven, Germany
| | - Reinhard Saborowski
- Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Functional Ecology, P.O. Box 120161, 27515 Bremerhaven, Germany.
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134
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Munawar K, Alahmed AM, Khalil SMS. Delivery Methods for RNAi in Mosquito Larvae. JOURNAL OF INSECT SCIENCE (ONLINE) 2020; 20:5877674. [PMID: 32725159 PMCID: PMC7387866 DOI: 10.1093/jisesa/ieaa074] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Indexed: 05/23/2023]
Abstract
Mosquito-transmitted diseases pose a threat for a great portion of the world population. Chemical insecticides are the main tool for mosquito control. Heavy dependence on chemicals created several problems such as resistance development in many mosquito species, environmental effects, and human health issues. Other tools for mosquito control were developed and used in some parts of the world. Ribonucleic acid interference (RNAi) is a reverse genetic mechanism that was recently introduced as a new tool for pest control. Regarding mosquito, RNAi was used to study gene function and to discover genes that can be used as targets for control purposes. Several delivery methods are used to induce RNAi in mosquito larvae. Some methods such as injection and soaking are used routinely in RNAi research but have no application in the field. Other methods such as nanoparticles and microbes have some characteristics that make them good candidates for field application. In this report, we will focus on delivery methods for RNAi in mosquito larvae and will give examples for each method.
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Affiliation(s)
- Kashif Munawar
- Plant Protection Department, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Azzam M Alahmed
- Plant Protection Department, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Sayed M S Khalil
- Plant Protection Department, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia
- Agricultural Genetic Engineering Research Institute, Agricultural Research Center, Giza, Egypt
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135
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He C, Liu S, Liang J, Zeng Y, Wang S, Wu Q, Xie W, Zhang Y. Genome-wide identification and analysis of nuclear receptors genes for lethal screening against Bemisia tabaci Q. PEST MANAGEMENT SCIENCE 2020; 76:2040-2048. [PMID: 31943718 DOI: 10.1002/ps.5738] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 12/14/2019] [Accepted: 01/13/2020] [Indexed: 06/10/2023]
Abstract
BACKGROUND Nuclear receptors (NRs) play an essential role in diverse biological processes, such as insect metamorphosis. Here, transcriptome analysis and functional studies were used to determine whether NRs are involved in metamorphosis of whitefly Bemisia tabaci Q, a serious pest to crops, and to find some potential insecticide targets. RESULTS Twenty NRs were identified in the Bemisia tabaci Q genome and categorized into the NR0-NR6 subfamilies. The phylogenetic tree of NRs from Bemisia tabaci Q and other representative species was constructed, which provided evolutionary insight into their genetic distances. The results of spatiotemporal gene expression indicated that the majority of NR gene expression was higher in the head than the abdomen and higher in eggs than adults. Further functional analysis using RNA interference (RNAi) showed that NR genes play an important role in Bemisia tabaci Q pupation and eclosion. With respect to high mortality and effects on growth, this was reflected in the unable to become pupa when the third-stage nymph treated with double-stranded RNA (dsRNA) and the developmental time delay (4-7 days) when pupae were treated with dsRNA for the 12 NR genes during molting compared with the development time in the control. CONCLUSION This study provides insight into NR functions during the metamorphosis stages of Bemisia tabaci Q. Several candidate genes could be potential insecticide targets for whitefly pest control due to their important roles in insect development. © 2020 Society of Chemical Industry.
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Affiliation(s)
- Chao He
- Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, P. R. China
| | - Shaonan Liu
- Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, P. R. China
- Institute of Insect Sciences, College of Agriculture, Yangtze University, Jingzhou, P. R. China
| | - Jinjin Liang
- Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, P. R. China
| | - Yang Zeng
- Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, P. R. China
| | - Shaoli Wang
- Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, P. R. China
| | - Qingjun Wu
- Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, P. R. China
| | - Wen Xie
- Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, P. R. China
| | - Youjun Zhang
- Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, P. R. China
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136
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Hapairai LK, Mysore K, Sun L, Li P, Wang CW, Scheel ND, Lesnik A, Scheel MP, Igiede J, Wei N, Severson DW, Duman-Scheel M. Characterization of an adulticidal and larvicidal interfering RNA pesticide that targets a conserved sequence in mosquito G protein-coupled dopamine 1 receptor genes. INSECT BIOCHEMISTRY AND MOLECULAR BIOLOGY 2020; 120:103359. [PMID: 32169582 PMCID: PMC8744133 DOI: 10.1016/j.ibmb.2020.103359] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 01/29/2020] [Accepted: 02/27/2020] [Indexed: 05/14/2023]
Abstract
G protein-coupled receptors (GPCRs), key regulators of a variety of critical biological processes, are attractive targets for insecticide development. Given the importance of these receptors in many organisms, including humans, it is critical that novel pesticides directed against GPCRs are designed to be species-specific. Here, we present characterization of an interfering RNA pesticide (IRP) targeting the mosquito GPCR-encoding dopamine 1 receptor (dop1) genes. A small interfering RNA corresponding to dop1 was identified in a screen for IRPs that kill Aedes aegypti during both the adult and larval stages. The 25 bp sequence targeted by this IRP is conserved in the dop1 genes of multiple mosquito species, but not in non-target organisms, indicating that it could function as a biorational mosquito insecticide. Aedes aegypti adults treated through microinjection or attractive toxic sugar bait delivery of small interfering RNA corresponding to the target site exhibited severe neural and behavioral defects and high levels of adult mortality. Likewise, A. aegypti larval consumption of dried inactivated yeast tablets prepared from a Saccharomyces cerevisiae strain engineered to express short hairpin RNA corresponding to the dop1 target site resulted in severe neural defects and larval mortality. Aedes albopictus and Anopheles gambiae adult and larval mortality was also observed following treatment with dop1 IRPs, which were not toxic to non-target arthropods. The results of this investigation indicate that dop1 IRPs can be used for species-specific targeting of dop1 GPCRs and may represent a new biorational strategy for control of both adult and larval mosquitoes.
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Affiliation(s)
- Limb K Hapairai
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Raclin-Carmichael Hall, 1234 Notre Dame Ave., South Bend, IN, 46617, USA; The University of Notre Dame Eck Institute for Global Health, Notre Dame, IN, 46556, USA.
| | - Keshava Mysore
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Raclin-Carmichael Hall, 1234 Notre Dame Ave., South Bend, IN, 46617, USA; The University of Notre Dame Eck Institute for Global Health, Notre Dame, IN, 46556, USA.
| | - Longhua Sun
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Raclin-Carmichael Hall, 1234 Notre Dame Ave., South Bend, IN, 46617, USA; The University of Notre Dame Eck Institute for Global Health, Notre Dame, IN, 46556, USA.
| | - Ping Li
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Raclin-Carmichael Hall, 1234 Notre Dame Ave., South Bend, IN, 46617, USA; The University of Notre Dame Eck Institute for Global Health, Notre Dame, IN, 46556, USA.
| | - Chien-Wei Wang
- The University of Notre Dame Eck Institute for Global Health, Notre Dame, IN, 46556, USA; The University of Notre Dame Department of Civil and Environmental Engineering and Earth Sciences, Cushing Hall, Notre Dame, IN, 46556, USA.
| | - Nicholas D Scheel
- The University of Notre Dame Eck Institute for Global Health, Notre Dame, IN, 46556, USA; The University of Notre Dame Department of Biological Sciences, Galvin Life Sciences, Notre Dame, IN, 46556, USA.
| | - Alexandra Lesnik
- The University of Notre Dame Eck Institute for Global Health, Notre Dame, IN, 46556, USA.
| | - Max P Scheel
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Raclin-Carmichael Hall, 1234 Notre Dame Ave., South Bend, IN, 46617, USA; The University of Notre Dame Eck Institute for Global Health, Notre Dame, IN, 46556, USA.
| | - Jessica Igiede
- The University of Notre Dame Eck Institute for Global Health, Notre Dame, IN, 46556, USA; The University of Notre Dame Department of Biological Sciences, Galvin Life Sciences, Notre Dame, IN, 46556, USA.
| | - Na Wei
- The University of Notre Dame Eck Institute for Global Health, Notre Dame, IN, 46556, USA; The University of Notre Dame Department of Civil and Environmental Engineering and Earth Sciences, Cushing Hall, Notre Dame, IN, 46556, USA.
| | - David W Severson
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Raclin-Carmichael Hall, 1234 Notre Dame Ave., South Bend, IN, 46617, USA; The University of Notre Dame Eck Institute for Global Health, Notre Dame, IN, 46556, USA; The University of Notre Dame Department of Biological Sciences, Galvin Life Sciences, Notre Dame, IN, 46556, USA; The University of the West Indies, Department of Life Sciences, St. Augustine, Trinidad, Trinidad and Tobago.
| | - Molly Duman-Scheel
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Raclin-Carmichael Hall, 1234 Notre Dame Ave., South Bend, IN, 46617, USA; The University of Notre Dame Eck Institute for Global Health, Notre Dame, IN, 46556, USA; The University of Notre Dame Department of Biological Sciences, Galvin Life Sciences, Notre Dame, IN, 46556, USA.
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137
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Peng J, Li Q, Xu L, Wei P, He P, Zhang X, Zhang L, Guan J, Zhang X, Lin Y, Gui J, Chen X. Chromosome-level analysis of the Crassostrea hongkongensis genome reveals extensive duplication of immune-related genes in bivalves. Mol Ecol Resour 2020; 20:980-994. [PMID: 32198971 DOI: 10.1111/1755-0998.13157] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2019] [Revised: 03/09/2020] [Accepted: 03/16/2020] [Indexed: 12/30/2022]
Abstract
Crassostrea hongkongensis is a popular and important native oyster species that is cultured mainly along the coast of the South China Sea. However, the absence of a reference genome has restricted genetic studies and the development of molecular breeding schemes for this species. Here, we combined PacBio and 10 × Genomics technologies to create a C. hongkongensis genome assembly, which has a size of 610 Mb, and is close to that estimated by flow cytometry (~650 Mb). Contig and scaffold N50 are 2.57 and 4.99 Mb, respectively, and BUSCO analysis indicates that 95.8% of metazoan conserved genes are completely represented. Using a high-density linkage map of its closest related species, C. gigas, a total of 521 Mb (85.4%) was anchored to 10 haploid chromosomes. Comparative genomic analyses with other molluscs reveal that several immune- or stress response-related genes extensively expanded in bivalves by tandem duplication, including C1q, Toll-like receptors and Hsp70, which are associated with their adaptation to filter-feeding and sessile lifestyles in shallow sea and/or deep-sea ecosystems. Through transcriptome sequencing, potential genes and pathways related to sex determination and gonad development were identified. The genome and transcriptome of C. hongkongensis provide valuable resources for future molecular studies, genetic improvement and genome-assisted breeding of oysters.
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Affiliation(s)
- Jinxia Peng
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fisheries Sciences, Nanning, China
| | - Qiongzhen Li
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fisheries Sciences, Nanning, China
| | - Lian Xu
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, Nantong University, Nantong, China
| | - Pinyuan Wei
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fisheries Sciences, Nanning, China
| | - Pingping He
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fisheries Sciences, Nanning, China
| | - Xingzhi Zhang
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fisheries Sciences, Nanning, China
| | - Li Zhang
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fisheries Sciences, Nanning, China
| | - Junliang Guan
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fisheries Sciences, Nanning, China
| | - Xiaojuan Zhang
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology and Innovation Academy for Seed Design, CAS, Wuhan, China
| | - Yong Lin
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fisheries Sciences, Nanning, China
| | - Jianfang Gui
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology and Innovation Academy for Seed Design, CAS, Wuhan, China
| | - Xiaohan Chen
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fisheries Sciences, Nanning, China
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Bayega A, Djambazian H, Tsoumani KT, Gregoriou ME, Sagri E, Drosopoulou E, Mavragani-Tsipidou P, Giorda K, Tsiamis G, Bourtzis K, Oikonomopoulos S, Dewar K, Church DM, Papanicolaou A, Mathiopoulos KD, Ragoussis J. De novo assembly of the olive fruit fly (Bactrocera oleae) genome with linked-reads and long-read technologies minimizes gaps and provides exceptional Y chromosome assembly. BMC Genomics 2020; 21:259. [PMID: 32228451 PMCID: PMC7106766 DOI: 10.1186/s12864-020-6672-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Accepted: 03/13/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND The olive fruit fly, Bactrocera oleae, is the most important pest in the olive fruit agribusiness industry. This is because female flies lay their eggs in the unripe fruits and upon hatching the larvae feed on the fruits thus destroying them. The lack of a high-quality genome and other genomic and transcriptomic data has hindered progress in understanding the fly's biology and proposing alternative control methods to pesticide use. RESULTS Genomic DNA was sequenced from male and female Demokritos strain flies, maintained in the laboratory for over 45 years. We used short-, mate-pair-, and long-read sequencing technologies to generate a combined male-female genome assembly (GenBank accession GCA_001188975.2). Genomic DNA sequencing from male insects using 10x Genomics linked-reads technology followed by mate-pair and long-read scaffolding and gap-closing generated a highly contiguous 489 Mb genome with a scaffold N50 of 4.69 Mb and L50 of 30 scaffolds (GenBank accession GCA_001188975.4). RNA-seq data generated from 12 tissues and/or developmental stages allowed for genome annotation. Short reads from both males and females and the chromosome quotient method enabled identification of Y-chromosome scaffolds which were extensively validated by PCR. CONCLUSIONS The high-quality genome generated represents a critical tool in olive fruit fly research. We provide an extensive RNA-seq data set, and genome annotation, critical towards gaining an insight into the biology of the olive fruit fly. In addition, elucidation of Y-chromosome sequences will advance our understanding of the Y-chromosome's organization, function and evolution and is poised to provide avenues for sterile insect technique approaches.
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Affiliation(s)
- Anthony Bayega
- McGill University and Genome Quebec Innovation Centre, Department of Human Genetics, McGill University, Montreal, Canada
| | - Haig Djambazian
- McGill University and Genome Quebec Innovation Centre, Department of Human Genetics, McGill University, Montreal, Canada
| | - Konstantina T. Tsoumani
- Department of Biochemistry and Biotechnology, University of Thessaly, Biopolis, 41500 Larissa, Greece
| | - Maria-Eleni Gregoriou
- Department of Biochemistry and Biotechnology, University of Thessaly, Biopolis, 41500 Larissa, Greece
| | - Efthimia Sagri
- Department of Biochemistry and Biotechnology, University of Thessaly, Biopolis, 41500 Larissa, Greece
| | - Eleni Drosopoulou
- Department of Biology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Kristina Giorda
- Integrated DNA Technologies, Inc., 1710 Commercial Park, Coralville, Iowa, 52241 USA
| | - George Tsiamis
- Department of Environmental Engineering, University of Patras, Agrinio, Greece
| | - Kostas Bourtzis
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, Vienna, Austria
| | - Spyridon Oikonomopoulos
- McGill University and Genome Quebec Innovation Centre, Department of Human Genetics, McGill University, Montreal, Canada
| | - Ken Dewar
- McGill University and Genome Quebec Innovation Centre, Department of Human Genetics, McGill University, Montreal, Canada
| | - Deanna M. Church
- Inscripta, Inc., 5500 Central Avenue #220, Boulder, CO 80301 USA
| | - Alexie Papanicolaou
- Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW 2753 Australia
| | - Kostas D. Mathiopoulos
- Department of Biochemistry and Biotechnology, University of Thessaly, Biopolis, 41500 Larissa, Greece
| | - Jiannis Ragoussis
- McGill University and Genome Quebec Innovation Centre, Department of Human Genetics, McGill University, Montreal, Canada
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139
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Sharma A, Kinney NA, Timoshevskiy VA, Sharakhova MV, Sharakhov IV. Structural Variation of the X Chromosome Heterochromatin in the Anopheles gambiae Complex. Genes (Basel) 2020; 11:E327. [PMID: 32204543 PMCID: PMC7140835 DOI: 10.3390/genes11030327] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 03/13/2020] [Accepted: 03/16/2020] [Indexed: 12/31/2022] Open
Abstract
Heterochromatin is identified as a potential factor driving diversification of species. To understand the magnitude of heterochromatin variation within the Anopheles gambiae complex of malaria mosquitoes, we analyzed metaphase chromosomes in An. arabiensis, An. coluzzii, An. gambiae, An. merus, and An. quadriannulatus. Using fluorescence in situ hybridization (FISH) with ribosomal DNA (rDNA), a highly repetitive fraction of DNA, and heterochromatic Bacterial Artificial Chromosome (BAC) clones, we established the correspondence of pericentric heterochromatin between the metaphase and polytene X chromosomes of An. gambiae. We then developed chromosome idiograms and demonstrated that the X chromosomes exhibit qualitative differences in their pattern of heterochromatic bands and position of satellite DNA (satDNA) repeats among the sibling species with postzygotic isolation, An. arabiensis, An. merus, An. quadriannulatus, and An. coluzzii or An. gambiae. The identified differences in the size and structure of the X chromosome heterochromatin point to a possible role of repetitive DNA in speciation of mosquitoes. We found that An. coluzzii and An. gambiae, incipient species with prezygotic isolation, share variations in the relative positions of the satDNA repeats and the proximal heterochromatin band on the X chromosomes. This previously unknown genetic polymorphism in malaria mosquitoes may be caused by a differential amplification of DNA repeats or an inversion in the sex chromosome heterochromatin.
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Affiliation(s)
- Atashi Sharma
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA 24061, USA; (A.S.); (V.A.T.); (M.V.S.)
| | - Nicholas A. Kinney
- Genomics Bioinformatics and Computational Biology, Virginia Polytechnic and State University, Blacksburg, VA 24061, USA;
| | - Vladimir A. Timoshevskiy
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA 24061, USA; (A.S.); (V.A.T.); (M.V.S.)
| | - Maria V. Sharakhova
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA 24061, USA; (A.S.); (V.A.T.); (M.V.S.)
- Laboratory of Evolutionary Genomics of Insects, the Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
- Laboratory of Ecology, Genetics and Environmental Protection, Tomsk State University, 634050 Tomsk, Russia
| | - Igor V. Sharakhov
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA 24061, USA; (A.S.); (V.A.T.); (M.V.S.)
- Genomics Bioinformatics and Computational Biology, Virginia Polytechnic and State University, Blacksburg, VA 24061, USA;
- Laboratory of Evolutionary Genomics of Insects, the Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
- Department of Cytology and Genetics, Tomsk State University, 634050 Tomsk, Russia
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140
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Identification and expression profiling of neuropeptides and neuropeptide receptor genes in Atrijuglans hetaohei. Gene 2020; 743:144605. [PMID: 32199950 DOI: 10.1016/j.gene.2020.144605] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 02/16/2020] [Accepted: 03/17/2020] [Indexed: 11/21/2022]
Abstract
Atrijuglans hetaohei Yang (Lepidoptera: Gelechioidea), is one of the major pests that can seriously damage the walnut fruits. Neuropeptides and their receptors regulate most physiological functions in insects and represent new targets for the development of control agents. To identify the neuropeptides and their receptors from A. hetaohei, we sequenced and analyzed its head transcriptomic data, identified 32 neuropeptides and 39 neuropeptide receptor genes. Sequence comparisons and phylogenetic analyses suggest that A. hetaohei neuropeptides and receptor genes have high homology with those in Bombyx mori, Chilo suppressalis, Plutella xylostella and Helicoverpa armigera. Moreover, gene expression patterns revealed that neuropeptide genes such as AKH1, CP, MS and PTTH were expressed specifically in male head, while CAP3, DH, NPLP1, PBAN and SIF showed higher expression in the female head. Bur showed abdomen biased expression in both male and female. Neuropeptide receptor genes such as A8, A11, A15 and LGR were highly expressed in male head, whereas A24 and LGR2 were preferentially expressed in female head. This is the first sequencing, identification and expression analyses of neuropeptides and neuropeptide receptor genes from A. hetaohei. Our results could provide a powerful background that will facilitate the further investigations using transcriptomics to determine neuropeptides and their receptors presence, functions, and indicates potential targets in A. hetaohei for a novel pest management strategy.
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141
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Redmond SN, Sharma A, Sharakhov I, Tu Z, Sharakhova M, Neafsey DE. Linked-read sequencing identifies abundant microinversions and introgression in the arboviral vector Aedes aegypti. BMC Biol 2020; 18:26. [PMID: 32164699 PMCID: PMC7068900 DOI: 10.1186/s12915-020-0757-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Accepted: 02/21/2020] [Indexed: 11/17/2022] Open
Abstract
Background Aedes aegypti is the principal mosquito vector of Zika, dengue, and yellow fever viruses. Two subspecies of Ae. aegypti exhibit phenotypic divergence with regard to habitat, host preference, and vectorial capacity. Chromosomal inversions have been shown to play a major role in adaptation and speciation in dipteran insects and would be of great utility for studies of Ae. aegypti. However, the large and highly repetitive genome of Ae. aegypti makes it difficult to detect inversions with paired-end short-read sequencing data, and polytene chromosome analysis does not provide sufficient resolution to detect chromosome banding patterns indicative of inversions. Results To characterize chromosomal diversity in this species, we have carried out deep Illumina sequencing of linked-read (10X Genomics) libraries in order to discover inversion loci as well as SNPs. We analyzed individuals from colonies representing the geographic limits of each subspecies, one contact zone between subspecies, and a closely related sister species. Despite genome-wide SNP divergence and abundant microinversions, we do not find any inversions occurring as fixed differences between subspecies. Many microinversions are found in regions that have introgressed and have captured genes that could impact behavior, such as a cluster of odorant-binding proteins that may play a role in host feeding preference. Conclusions Our study shows that inversions are abundant and widely shared among subspecies of Aedes aegypti and that introgression has occurred in regions of secondary contact. This library of 32 novel chromosomal inversions demonstrates the capacity for linked-read sequencing to identify previously intractable genomic rearrangements and provides a foundation for future population genetics studies in this species.
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Affiliation(s)
- Seth N Redmond
- Institute of Vector Borne Disease, Monash University, Melbourne, Australia. .,Harvard TH Chan School of Public Health, Boston, MA, USA.
| | - Atashi Sharma
- Fralin Life Science Institute, Virginia Polytechnic and State University, Blacksburg, VA, USA
| | - Igor Sharakhov
- Fralin Life Science Institute, Virginia Polytechnic and State University, Blacksburg, VA, USA
| | - Zhijian Tu
- Fralin Life Science Institute, Virginia Polytechnic and State University, Blacksburg, VA, USA
| | - Maria Sharakhova
- Fralin Life Science Institute, Virginia Polytechnic and State University, Blacksburg, VA, USA
| | - Daniel E Neafsey
- Harvard TH Chan School of Public Health, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA
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142
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Paula DP, Menger J, Andow DA, Koch RL. Diverse patterns of constitutive and inducible overexpression of detoxifying enzyme genes among resistant Aphis glycines populations. PESTICIDE BIOCHEMISTRY AND PHYSIOLOGY 2020; 164:100-114. [PMID: 32284115 DOI: 10.1016/j.pestbp.2019.12.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 11/21/2019] [Accepted: 12/30/2019] [Indexed: 06/11/2023]
Abstract
Understanding the mechanisms of pyrethroid resistance is essential to the effective management of pesticide resistance in Aphis glycines Matsumura (Hemiptera: Aphididae). We mined putative detoxifying enzyme genes in the draft genome sequence of A. glycines for cytochrome oxidase P450 (CYP), glutathione-S-transferase (GST) and esterases (E4 and carboxylesterases-CES). Aphids from clonal populations resistant to pyrethroids from three sites in Minnesota, USA, were screened against a diagnostic LC99 concentration of either λ-cyhalothrin or bifenthrin and detoxifying enzyme genes expression in survivors was analyzed by qPCR. Their expression profiles were compared relative to a susceptible clonal population. We found 61 CYP (40 full-length), seven GST (all full-length), seven E4 (five full-length) and three CES (two full-length) genes, including 24 possible pseudogenes. The detoxifying enzymes had different expression profiles across resistant aphid populations, possibly reflecting differences in the genetic background and pyrethroid selection pressures as the number of constitutively overexpressed detoxifying enzyme genes was correlated with the level of resistance. Our findings will strengthen the understanding of the pyrethroid resistance mechanisms in A. glycines.
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Affiliation(s)
- Débora Pires Paula
- Embrapa Genetic Resources and Biotechnology, Parque Estação Biológica, W5 Norte, P.O. Box 02372, Brasília, DF 70770-917, Brazil.
| | - James Menger
- Department of Entomology, University of Minnesota, 219 Hodson Hall, 1980 Folwell Ave., St. Paul, MN 55108, USA
| | - David A Andow
- Department of Entomology, University of Minnesota, 219 Hodson Hall, 1980 Folwell Ave., St. Paul, MN 55108, USA
| | - Robert L Koch
- Department of Entomology, University of Minnesota, 219 Hodson Hall, 1980 Folwell Ave., St. Paul, MN 55108, USA
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143
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Dynamics of prevalence and distribution pattern of avian Plasmodium species and its vectors in diverse zoogeographical areas - A review. INFECTION GENETICS AND EVOLUTION 2020; 81:104244. [PMID: 32087345 DOI: 10.1016/j.meegid.2020.104244] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2018] [Revised: 02/04/2020] [Accepted: 02/14/2020] [Indexed: 12/18/2022]
Abstract
Avian Plasmodium is of special interest to health care scientists and veterinarians due to the potency of causing avian malaria in non-adapted birds and their evolutionary phylogenetic relationship with human malaria species. This article aimed to provide a comprehensive list of the common avian Plasmodium parasites in the birds and mosquitoes, to specify the common Plasmodium species and lineages in the selected regions of West of Asia, East of Europe, and North of Africa/Middle East, and to determine the contribution of generalist and host-specific Plasmodium species and lineages. The final list of published infected birds includes 146 species, among which Passer domesticus was the most prevalent in the studied areas. The species of Acrocephalus arundinaceus and Sylvia atricapilla were reported as common infected hosts in the examined regions of three continents. The highest numbers of common species of infected birds between continent pairs were from Asia and Europe, and no common record was found from Europe and Africa. The species of Milvus migrans and Upupa epops were recorded as common species from Asia and Africa. The lineage of GRW11 and species of P. relictum were the most prevalent parasites among all the infection records in birds. The most prevalent genus of vectors of avian malaria belonged to Culex and species of Cx. pipiens. The lineage SGS1 with the highest number of occurrence has been found in various vectors comprising Cx. pipiens, Cx. modestus, Cx. theileri, Cx. sasai, Cx. perexiguus, Lutzia vorax, and Culicoides alazanicus. A total of 31 Plasmodium species and 59 Plasmodium lineages were recorded from these regions. SGS1, GRW04, and GRW11, and P. relictum and P. vaughani are specified as common generalist avian malaria parasites from these three geographic areas. The presence of avian Plasmodium parasites in distant geographic areas and various hosts may be explained by the movement of the infected birds through the migration routes. Although most recorded lineages were from Asia, investigating the distribution of lineages in some of the countries has not been done. Thus, the most important outcome of this review is the determination of the distribution pattern of parasite and vector species that shed light on gaps requiring further studies on the monitoring of avian Plasmodium and common vectors extension. This task could be achieved through scientific field and laboratory networking, performing active surveillance and designing regional/continental control programs of birds' malaria and other zoonotic diseases.
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144
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George P, Kinney NA, Liang J, Onufriev AV, Sharakhov IV. Three-dimensional Organization of Polytene Chromosomes in Somatic and Germline Tissues of Malaria Mosquitoes. Cells 2020; 9:cells9020339. [PMID: 32024176 PMCID: PMC7072178 DOI: 10.3390/cells9020339] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 01/22/2020] [Accepted: 01/28/2020] [Indexed: 12/17/2022] Open
Abstract
Spatial organization of chromosome territories and interactions between interphase chromosomes themselves, as well as with the nuclear periphery, play important roles in epigenetic regulation of the genome function. However, the interplay between inter-chromosomal contacts and chromosome-nuclear envelope attachments in an organism’s development is not well-understood. To address this question, we conducted microscopic analyses of the three-dimensional chromosome organization in malaria mosquitoes. We employed multi-colored oligonucleotide painting probes, spaced 1 Mb apart along the euchromatin, to quantitatively study chromosome territories in larval salivary gland cells and adult ovarian nurse cells of Anopheles gambiae, An. coluzzii, and An. merus. We found that the X chromosome territory has a significantly smaller volume and is more compact than the autosomal arm territories. The number of inter-chromosomal, and the percentage of the chromosome–nuclear envelope, contacts were conserved among the species within the same cell type. However, the percentage of chromosome regions located at the nuclear periphery was typically higher, while the number of inter-chromosomal contacts was lower, in salivary gland cells than in ovarian nurse cells. The inverse correlation was considerably stronger for the autosomes. Consistent with previous theoretical arguments, our data indicate that, at the genome-wide level, there is an inverse relationship between chromosome-nuclear envelope attachments and chromosome–chromosome interactions, which is a key feature of the cell type-specific nuclear architecture.
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Affiliation(s)
- Phillip George
- Department of Entomology, Virginia Tech, Blacksburg, VA 24061, USA; (P.G.); (J.L.)
| | - Nicholas A. Kinney
- Genomics, Bioinformatics and Computational Biology, Virginia Tech, Blacksburg, VA 24061, USA; (N.A.K.); (A.V.O.)
| | - Jiangtao Liang
- Department of Entomology, Virginia Tech, Blacksburg, VA 24061, USA; (P.G.); (J.L.)
| | - Alexey V. Onufriev
- Genomics, Bioinformatics and Computational Biology, Virginia Tech, Blacksburg, VA 24061, USA; (N.A.K.); (A.V.O.)
- Department of Computer Science, Virginia Tech, Blacksburg, VA 24061, USA
| | - Igor V. Sharakhov
- Department of Entomology, Virginia Tech, Blacksburg, VA 24061, USA; (P.G.); (J.L.)
- Genomics, Bioinformatics and Computational Biology, Virginia Tech, Blacksburg, VA 24061, USA; (N.A.K.); (A.V.O.)
- Department of Cytology and Genetics, Tomsk State University, 634050 Tomsk, Russian Federation
- Correspondence: ; Tel.: +1-540-231-7316
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145
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Bergey CM, Lukindu M, Wiltshire RM, Fontaine MC, Kayondo JK, Besansky NJ. Assessing connectivity despite high diversity in island populations of a malaria mosquito. Evol Appl 2020; 13:417-431. [PMID: 31993086 PMCID: PMC6976967 DOI: 10.1111/eva.12878] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 08/28/2019] [Accepted: 09/27/2019] [Indexed: 12/14/2022] Open
Abstract
Documenting isolation is notoriously difficult for species with vast polymorphic populations. High proportions of shared variation impede estimation of connectivity, even despite leveraging information from many genetic markers. We overcome these impediments by combining classical analysis of neutral variation with assays of the structure of selected variation, demonstrated using populations of the principal African malaria vector Anopheles gambiae. Accurate estimation of mosquito migration is crucial for efforts to combat malaria. Modeling and cage experiments suggest that mosquito gene drive systems will enable malaria eradication, but establishing safety and efficacy requires identification of isolated populations in which to conduct field testing. We assess Lake Victoria islands as candidate sites, finding one island 30 km offshore is as differentiated from mainland samples as populations from across the continent. Collectively, our results suggest sufficient contemporary isolation of these islands to warrant consideration as field-testing locations and illustrate shared adaptive variation as a useful proxy for connectivity in highly polymorphic species.
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Affiliation(s)
- Christina M. Bergey
- Department of Biological SciencesUniversity of Notre DameNotre DameINUSA
- Eck Institute for Global HealthUniversity of Notre DameNotre DameINUSA
- Department of GeneticsRutgers UniversityPiscatawayNJUSA
- Departments of Anthropology and BiologyPennsylvania State UniversityUniversity ParkPAUSA
| | - Martin Lukindu
- Department of Biological SciencesUniversity of Notre DameNotre DameINUSA
- Eck Institute for Global HealthUniversity of Notre DameNotre DameINUSA
| | - Rachel M. Wiltshire
- Department of Biological SciencesUniversity of Notre DameNotre DameINUSA
- Eck Institute for Global HealthUniversity of Notre DameNotre DameINUSA
| | - Michael C. Fontaine
- Groningen Institute for Evolutionary Life Sciences (GELIFES)University of GroningenGroningenThe Netherlands
- MIVEGECIRDCNRSUniversity of MontpellierMontpellierFrance
| | | | - Nora J. Besansky
- Department of Biological SciencesUniversity of Notre DameNotre DameINUSA
- Eck Institute for Global HealthUniversity of Notre DameNotre DameINUSA
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146
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Lien NTK, Ngoc NTH, Lan NN, Hien NT, Tung NV, Ngan NTT, Hoang NH, Binh NTH. Transcriptome Sequencing and Analysis of Changes Associated with Insecticide Resistance in the Dengue Mosquito ( Aedes aegypti) in Vietnam. Am J Trop Med Hyg 2020; 100:1240-1248. [PMID: 30834881 DOI: 10.4269/ajtmh.18-0607] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
The mosquito Aedes aegypti is a transmission vector for dangerous epidemic diseases in humans. Insecticides have been used as the most general vector control method in the world. However, Ae. aegypti have developed many resistant mechanisms such as reduced neuronal sensitivity to insecticides (target-site resistance), enhanced insecticide metabolism (metabolic resistance), altered transport, sequestration, and other mechanisms. It has become a major problem for vector control programs. Transcriptome sequencing and bioinformatic analysis were used to compare transcription levels between a susceptible strain (Bora7) and a resistant strain (KhanhHoa7) collected from the field. A total of 161 million Illumina reads, including 66,076,678 reads from the Bora7 strain and 69,606,654 reads from the KhanhHoa7 strain, were generated and assembled into 11,174 genes. A comparison of the KhanhHoa7 transcriptome to that of Bora7 showed 672 upregulated genes and 488 downregulated genes. We identified the highly upregulated genes: cytochrome P450 4C1, 4C3, 4C21, 4D1, 4D1 isoform X2, 4D2, 4D2 isoform X2, 4G15, 6A2, 6A8, 6D3, and 9E2; Glutathione S transferase (GST1), UGT1-3, 1-7, 2B15, and 2B37; binding cassette transporter (ABC) transporter F family member 4 and ABC transporter G family member 20. Interestingly, there was a significant increase in the expression of the genes such as CYP9E2 (8.3-fold), CYP6A8 (5.9-fold), CYP6D3 (5.4-fold), CYP4C21 (5.4-fold), CYP4G15 (5.2-fold), GST1 (3.5-fold), and ABC transporter 4 (2.1-fold). Our results suggested a potential relationship between the expression of the genes in metabolic processes and insecticide resistance in the studied strain. These results may contribute to the understanding of the mechanisms of insecticide resistance in Ae. aegypti.
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Affiliation(s)
- Nguyen Thi Kim Lien
- Institute of Genome Research, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | | | - Nguyen Ngoc Lan
- Institute of Genome Research, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | - Nguyen Thu Hien
- Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Hanoi, Vietnam.,Institute of Genome Research, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | - Nguyen Van Tung
- Institute of Genome Research, Vietnam Academy of Science and Technology, Hanoi, Vietnam.,Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | - Nguyen Thi Thanh Ngan
- Institute of Genome Research, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | - Nguyen Huy Hoang
- Institute of Genome Research, Vietnam Academy of Science and Technology, Hanoi, Vietnam.,Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Hanoi, Vietnam
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147
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A New Assessment of Thioester-Containing Proteins Diversity of the Freshwater Snail Biomphalaria glabrata. Genes (Basel) 2020; 11:genes11010069. [PMID: 31936127 PMCID: PMC7016707 DOI: 10.3390/genes11010069] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 12/18/2019] [Accepted: 12/20/2019] [Indexed: 12/16/2022] Open
Abstract
Thioester-containing proteins (TEPs) superfamily is known to play important innate immune functions in a wide range of animal phyla. TEPs are involved in recognition, and in the direct or mediated killing of several invading organisms or pathogens. While several TEPs have been identified in many invertebrates, only one TEP (named BgTEP) has been previously characterized in the freshwater snail, Biomphalaria glabrata. As the presence of a single member of that family is particularly intriguing, transcriptomic data and the recently published genome were used to explore the presence of other BgTEP related genes in B. glabrata. Ten other TEP members have been reported and classified into different subfamilies: Three complement-like factors (BgC3-1 to BgC3-3), one α-2-macroblobulin (BgA2M), two macroglobulin complement-related proteins (BgMCR1, BgMCR2), one CD109 (BgCD109), and three insect TEP (BgTEP2 to BgTEP4) in addition to the previously characterized BgTEP that we renamed BgTEP1. This is the first report on such a level of TEP diversity and of the presence of macroglobulin complement-related proteins (MCR) in mollusks. Gene structure analysis revealed alternative splicing in the highly variable region of three members (BgA2M, BgCD109, and BgTEP2) with a particularly unexpected diversity for BgTEP2. Finally, different gene expression profiles tend to indicate specific functions for such novel family members.
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148
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Waterhouse RM, Aganezov S, Anselmetti Y, Lee J, Ruzzante L, Reijnders MJMF, Feron R, Bérard S, George P, Hahn MW, Howell PI, Kamali M, Koren S, Lawson D, Maslen G, Peery A, Phillippy AM, Sharakhova MV, Tannier E, Unger MF, Zhang SV, Alekseyev MA, Besansky NJ, Chauve C, Emrich SJ, Sharakhov IV. Evolutionary superscaffolding and chromosome anchoring to improve Anopheles genome assemblies. BMC Biol 2020; 18:1. [PMID: 31898513 PMCID: PMC6939337 DOI: 10.1186/s12915-019-0728-3] [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: 11/13/2019] [Accepted: 11/26/2019] [Indexed: 11/18/2022] Open
Abstract
Background New sequencing technologies have lowered financial barriers to whole genome sequencing, but resulting assemblies are often fragmented and far from ‘finished’. Updating multi-scaffold drafts to chromosome-level status can be achieved through experimental mapping or re-sequencing efforts. Avoiding the costs associated with such approaches, comparative genomic analysis of gene order conservation (synteny) to predict scaffold neighbours (adjacencies) offers a potentially useful complementary method for improving draft assemblies. Results We evaluated and employed 3 gene synteny-based methods applied to 21 Anopheles mosquito assemblies to produce consensus sets of scaffold adjacencies. For subsets of the assemblies, we integrated these with additional supporting data to confirm and complement the synteny-based adjacencies: 6 with physical mapping data that anchor scaffolds to chromosome locations, 13 with paired-end RNA sequencing (RNAseq) data, and 3 with new assemblies based on re-scaffolding or long-read data. Our combined analyses produced 20 new superscaffolded assemblies with improved contiguities: 7 for which assignments of non-anchored scaffolds to chromosome arms span more than 75% of the assemblies, and a further 7 with chromosome anchoring including an 88% anchored Anopheles arabiensis assembly and, respectively, 73% and 84% anchored assemblies with comprehensively updated cytogenetic photomaps for Anopheles funestus and Anopheles stephensi. Conclusions Experimental data from probe mapping, RNAseq, or long-read technologies, where available, all contribute to successful upgrading of draft assemblies. Our evaluations show that gene synteny-based computational methods represent a valuable alternative or complementary approach. Our improved Anopheles reference assemblies highlight the utility of applying comparative genomics approaches to improve community genomic resources.
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Affiliation(s)
- Robert M Waterhouse
- Department of Ecology and Evolution, University of Lausanne, and Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland.
| | - Sergey Aganezov
- Department of Computer Science, Princeton University, Princeton, NJ, 08450, USA.,Department of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA
| | | | - Jiyoung Lee
- The Interdisciplinary PhD Program in Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA
| | - Livio Ruzzante
- Department of Ecology and Evolution, University of Lausanne, and Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland
| | - Maarten J M F Reijnders
- Department of Ecology and Evolution, University of Lausanne, and Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland
| | - Romain Feron
- Department of Ecology and Evolution, University of Lausanne, and Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland
| | - Sèverine Bérard
- ISEM, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - Phillip George
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA
| | - Matthew W Hahn
- Departments of Biology and Computer Science, Indiana University, Bloomington, IN, 47405, USA
| | - Paul I Howell
- Centers for Disease Control and Prevention, Atlanta, GA, 30329, USA
| | - Maryam Kamali
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA.,Department of Medical Entomology and Parasitology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Daniel Lawson
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, UK
| | - Gareth Maslen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, UK
| | - Ashley Peery
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Maria V Sharakhova
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA.,Laboratory of Ecology, Genetics and Environmental Protection, Tomsk State University, Tomsk, Russia, 634050
| | - Eric Tannier
- Laboratoire de Biométrie et Biologie Evolutive, Université Lyon 1, Unité Mixte de Recherche 5558 Centre National de la Recherche Scientifique, 69622, Villeurbanne, France.,Institut national de recherche en informatique et en automatique, Montbonnot, 38334, Grenoble, Rhône-Alpes, France
| | - Maria F Unger
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, Galvin Life Sciences Building, Notre Dame, IN, 46556, USA
| | - Simo V Zhang
- Departments of Biology and Computer Science, Indiana University, Bloomington, IN, 47405, USA
| | - Max A Alekseyev
- Department of Mathematics and Computational Biology Institute, George Washington University, Ashburn, VA, 20147, USA
| | - Nora J Besansky
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, Galvin Life Sciences Building, Notre Dame, IN, 46556, USA
| | - Cedric Chauve
- Department of Mathematics, Simon Fraser University, Burnaby, British Columbia, V5A 1S6, Canada
| | - Scott J Emrich
- Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, 37996, USA
| | - Igor V Sharakhov
- The Interdisciplinary PhD Program in Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA. .,Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA. .,Laboratory of Ecology, Genetics and Environmental Protection, Tomsk State University, Tomsk, Russia, 634050.
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149
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Zhan S, Fang G, Cai M, Kou Z, Xu J, Cao Y, Bai L, Zhang Y, Jiang Y, Luo X, Xu J, Xu X, Zheng L, Yu Z, Yang H, Zhang Z, Wang S, Tomberlin JK, Zhang J, Huang Y. Genomic landscape and genetic manipulation of the black soldier fly Hermetia illucens, a natural waste recycler. Cell Res 2020; 30:50-60. [PMID: 31767972 PMCID: PMC6951338 DOI: 10.1038/s41422-019-0252-6] [Citation(s) in RCA: 119] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Accepted: 10/22/2019] [Indexed: 11/09/2022] Open
Abstract
The black soldier fly (BSF), Hermetia illucens (Diptera: Stratiomyidae), is renowned for its bioconversion of organic waste into a sustainable source of animal feed. We report a high-quality genome of 1.1 Gb and a consensus set of 16,770 gene models for this beneficial species. Compared to those of other dipteran species, the BSF genome has undergone a substantial expansion in functional modules related to septic adaptation, including immune system factors, olfactory receptors, and cytochrome P450s. We further profiled midgut transcriptomes and associated microbiomes of BSF larvae fed with representative types of organic waste. We find that the pathways related to digestive system and fighting infection are commonly enriched and that Firmicutes bacteria dominate the microbial community in BSF across all diets. To extend its potential practical applications, we further developed an efficient CRISPR/Cas9-based gene editing approach and implemented this to yield flightless and enhanced feeding capacity phenotypes, both of which could expand BSF production capabilities. Our study provides valuable genomic and technical resources for optimizing BSF lines for industrialization.
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Affiliation(s)
- Shuai Zhan
- CAS Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China.
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Gangqi Fang
- CAS Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Minmin Cai
- State Key Laboratory of Agricultural Microbiology, National Engineering Research Center of Microbial Pesticides, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Zongqing Kou
- CAS Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Jun Xu
- CAS Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Yanghui Cao
- CAS Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Liang Bai
- CAS Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Yixiang Zhang
- CAS Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yongmao Jiang
- CAS Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xingyu Luo
- CAS Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jian Xu
- CAS Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xia Xu
- CAS Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Longyu Zheng
- State Key Laboratory of Agricultural Microbiology, National Engineering Research Center of Microbial Pesticides, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Ziniu Yu
- State Key Laboratory of Agricultural Microbiology, National Engineering Research Center of Microbial Pesticides, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Hong Yang
- Hubei Key Laboratory of Genetic Regulation and Integrative Biology, Institute of Entomology, School of Life Sciences, Central China Normal University, Wuhan, Hubei, 430079, China
| | - Zhijian Zhang
- School of Economics, Zhejiang Gongshang University, Hangzhou, Zhejiang, 310018, China
| | - Sibao Wang
- CAS Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jeffery K Tomberlin
- Department of Entomology, Texas A&M University, 2475 TAMU, College Station, TX, 77845, USA.
| | - Jibin Zhang
- State Key Laboratory of Agricultural Microbiology, National Engineering Research Center of Microbial Pesticides, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.
| | - Yongping Huang
- CAS Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China.
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China.
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150
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Chasapi A, Aivaliotis M, Angelis L, Chanalaris A, Iliopoulos I, Kappas I, Karapiperis C, Kyrpides NC, Pafilis E, Panteris E, Topalis P, Tsiamis G, Vizirianakis IS, Vlassi M, Promponas VJ, Ouzounis CA. Establishment of computational biology in Greece and Cyprus: Past, present, and future. PLoS Comput Biol 2019; 15:e1007532. [PMID: 31856214 PMCID: PMC6922331 DOI: 10.1371/journal.pcbi.1007532] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Affiliation(s)
- Anastasia Chasapi
- Biological Computation & Process Lab, Chemical Process & Energy Resources Institute, Centre for Research & Technology Hellas, Thessalonica, Greece
| | - Michalis Aivaliotis
- School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessalonica, Greece
- Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology Hellas, Heraklion, Greece
| | - Lefteris Angelis
- School of Informatics, Aristotle University of Thessaloniki, Thessalonica, Greece
| | - Anastasios Chanalaris
- Botnar Research Centre, NDORMS, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Ioannis Iliopoulos
- Division of Basic Sciences, School of Medicine, University of Crete, Heraklion, Greece
| | - Ilias Kappas
- School of Biology, Aristotle University of Thessaloniki, Thessalonica, Greece
| | - Christos Karapiperis
- School of Informatics, Aristotle University of Thessaloniki, Thessalonica, Greece
| | - Nikos C. Kyrpides
- Department of Energy, Joint Genome Institute, Walnut Creek, California, United States of America
| | - Evangelos Pafilis
- Institute of Marine Biology Biotechnology and Aquaculture, Hellenic Centre for Marine Research, Heraklion, Greece
| | - Eleftherios Panteris
- First Psychiatric Clinic, Papageorgiou General Hospital, Aristotle University of Thessaloniki, Thessalonica, Greece
| | - Pantelis Topalis
- Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology Hellas, Heraklion, Greece
| | - George Tsiamis
- Department of Environmental Engineering, School of Engineering, University of Patras, Patras, Greece
| | - Ioannis S. Vizirianakis
- Department of Pharmacology, School of Pharmacy, Aristotle University of Thessaloniki, Thessalonica, Greece
| | - Metaxia Vlassi
- Institute of Biosciences & Applications, National Centre for Scientific Research Demokritos, Athens, Greece
| | - Vasilis J. Promponas
- Bioinformatics Research Laboratory, Department of Biological Sciences, University of Cyprus, Nicosia, Cyprus
- * E-mail: (VJP); (CAO)
| | - Christos A. Ouzounis
- Biological Computation & Process Lab, Chemical Process & Energy Resources Institute, Centre for Research & Technology Hellas, Thessalonica, Greece
- * E-mail: (VJP); (CAO)
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