Summary

Экспериментальные и биоинформатика Протокол Секвенирование РНК Анализы ФОТОПЕРИОДИЧЕСКИХ диапаузы в Азиатско тигровый комар,<em> Кусака бело-пёстрый</em

Published: November 30, 2014
doi:

Summary

RNA-Seq analyses are becoming increasingly important for identifying the molecular underpinnings of adaptive traits in non-model organisms. Here, a protocol to identify differentially expressed genes between diapause and non-diapause Aedes albopictus mosquitoes is described, from mosquito rearing, to RNA sequencing and bioinformatics analyses of RNA-Seq data.

Abstract

Photoperiodic diapause is an important adaptation that allows individuals to escape harsh seasonal environments via a series of physiological changes, most notably developmental arrest and reduced metabolism. Global gene expression profiling via RNA-Seq can provide important insights into the transcriptional mechanisms of photoperiodic diapause. The Asian tiger mosquito, Aedes albopictus, is an outstanding organism for studying the transcriptional bases of diapause due to its ease of rearing, easily induced diapause, and the genomic resources available. This manuscript presents a general experimental workflow for identifying diapause-induced transcriptional differences in A. albopictus. Rearing techniques, conditions necessary to induce diapause and non-diapause development, methods to estimate percent diapause in a population, and RNA extraction and integrity assessment for mosquitoes are documented. A workflow to process RNA-Seq data from Illumina sequencers culminates in a list of differentially expressed genes. The representative results demonstrate that this protocol can be used to effectively identify genes differentially regulated at the transcriptional level in A. albopictus due to photoperiodic differences. With modest adjustments, this workflow can be readily adapted to study the transcriptional bases of diapause or other important life history traits in other mosquitoes.

Introduction

Rapid advances in next-generation sequencing (NGS) technologies are providing exciting opportunities to probe the molecular underpinnings of a wide range of genetically complex ecological adaptations in a broad diversity of non-model organisms13. This approach is extremely powerful because it establishes a basis for population and functional genomics studies of organisms with an especially interesting and/or well-described ecology or evolutionary history, as well as organisms of practical concern, such as agricultural pests and disease vectors. Thus, NGS technologies are leading to rapid advances in the fields of ecology and have the potential to address problems such as understanding the mechanistic bases of biological responses to rapid contemporary climate change4, the spread of invasive species5, and host-pathogen interactions6,7.

The extraordinary potential of NGS technologies for addressing basic and applied questions in ecology and evolutionary biology is in part due to the fact that these approaches can be applied to any organism at a moderate cost that is feasible for most research laboratories. Furthermore, these approaches provide genome-wide information without the requirement of a priori genetic resources such as a microarray chip or complete genome sequence. Nevertheless, to maximize the productivity of NGS experiments requires careful consideration of experimental design including issues such as the developmental timing and tissue-specificity of RNA sampling. Furthermore, the technical skills required to analyze the massive amounts of data produced by these experiments, often up to several hundred million DNA sequence reads, has been a particular challenge and has limited the widespread implementation of NGS approaches.

Recent RNA-Seq studies on the transcriptional bases of diapause in the invasive and medically important mosquito Aedes albopictus provide a useful example of some of the experimental protocols that can be employed to successfully apply NGS technology to studying the molecular basis of a complex ecological adaptation in a non-model organism810. A. albopictus is a highly invasive species that is native to Asia but has recently invaded North America, South America, Europe, and Africa11,12. Like many temperate insects, temperate populations of A. albopictus survive through winter by entering a type of dormancy referred to as photoperiodic diapause. In A. albopictus, exposure of pupal and adult females to short (autumnal) day lengths leads to the production of diapause eggs in which embryological development is completed, but the pharate larva inside the chorion of the egg enters a developmental arrest that renders the egg refractory to hatching stimulus1517. Diapause eggs are more desiccation resistant5,18 and contain more total lipids19 than non-diapause eggs. Photoperiodic diapause in A. albopictus is thus a maternally controlled, adaptive phenotypic plasticity that is essential for surviving the harsh conditions of winter in temperate environments. Despite the well-understood ecological significance of photoperiodic diapause in a wide range of insects20,21, the molecular basis of this crucial adaptation is not well characterized in any insect22. In organisms such as A. albopictus that undergo an embryonic diapause at the pharate larval stage, it remains a particularly compelling challenge to understand how the photoperiodic signal received by the mother is passed to the offspring and persists through the course of embryonic development to cause arrest at the pharate larval stage.

This protocol describes mosquito rearing, experimental design and bioinformatics analyses for NGS experiments (transcriptome sequencing) performed to elucidate transcriptional components of photoperiodic diapause in A. albopictus. This protocol can be used for additional studies of diapause in A. albopictus, can be adapted to investigate diapause in other closely related species such as other aedine mosquitoes that undergo egg diapause23, and is also more generally relevant to employing NGS approaches to study the transcriptional bases of any complex adaptation in any insect.

Protocol

1. личинок Разведение двух А. albopictus Группы во взрослую жизнь Установите два Фотопериод шкафы с программируемым освещения на 21 ° C для оптимального выражения диапаузы 16 и примерно 80% относительной влажности. Программа один шкаф для 16L: 8D свет: темно цикл (без диапаузы ?…

Representative Results

Флуориметрии из двух репрезентативных образцов РНК показали две полосы примерно 2000 нуклеотидов (1А, В). 28S насекомых рибосомальной РНК состоит из двух полинуклеотидных цепей, удерживаемых вместе водородными связями, которые легко разрушается при кратковременном нагревании и?…

Discussion

Этот протокол представляет методы, чтобы обнаружить дифференциально выраженные гены из-за photoperiodically индуцированной диапаузы в А. albopictus. Протокол имеет важное значение в том, что она уникально сочетает в себе комаров воспитание и методы биоинформатики, чтобы сделать все экспериме?…

Disclosures

The authors have nothing to disclose.

Acknowledgements

This work was supported by the National Institutes of Health grant 5R21AI081041-02 and Georgetown University.

Materials

Incubator – Model 818 Thermo-Scientific 3751 120V
Controlled environment room Thermax Scientific N/A Walk-in controlled environment room built to custom specifications by Thermax Scientific Products. A larger alternative to an incubator. http://thermmax.com/
Cool Fluorescent bulb Philips 392183 4 Watt
Petri Dish 100mm x 20mm Fisher 08-772-E
Filter Paper 20.5cm Fisher 09-803-6J
9.5L Bucket Plastican Bway Products http://www.bwayproducts.com/sites/portal/plastic-products/plastic-open-head-pails/117
Utility Fabric-Mosquito Netting White Joann 10173292 http://www.joann.com/utility-fabric-mosquito-netting-white/10173292.html
Orthopedic stockings Albahealth 23650-040 product no. 081420
Organic Raisins Newman's Own UPC: 884284040255
Oviposition cups (brown) Fisher Scientific 03-007-52 The product is actually an amber 125 mL bottle that we saw the top off of.
Recycled Paper Towels Seventh Generation 30BPT120
Modular Mates Square Tupperware Set Tupperware http://order.tupperware.com/pls/htprod_www/coe$www.add_items
Glass Grinder Corning Incorporated 7727-2 These Tenbroeck tissue grinders break the eggs and release RNA into the TRI Reagent.
TRI Reagent Sigma Aldrich T9424 Apply 1ml TRI Reagent per 50-100mg of tissue. Caution – this reagent is toxic.
TURBO DNA-free Ambion/Life Technologies AM1907 This kit generates greater yield than traditional DNase treatment followed by phenol/chloroform cleanup, and it is simpler to use.
RNaseZap Ambion/Life Technologies AM9782 Apply liberally on the bench surfaces and any equipment that might be in contact with the RNA samples. The solution is slightly alkaline/corrosive, can cause irritation and is harmful when swallowed.
2100 Bioanalyzer Agilent Technologies G2939AA Place up to 12 RNA samples on one chip.
Hemotek Membrane Feeder Hemotek  5W1 This system  provides 5 feeding stations that can be used simultaneously. Includes PS5 Power Unit and Power cord; 5 FUI Feeders + Meal Reservoirs and O-rings; Plastic Plugs, Hemotek collagen feeding membrane; Temperature setting tool; and Plug extracting tool. The company's mailing address is: Hemotek Ltd; Unit 5 Union Court; Alan Ramsbottom Way; Great Harwood; Lancashire, UK; BB6 7FD; tel: +44 1254 889 307.
Digital Thermometer and Probe Hemotek  MT3KFU MicroT3 thermometer and KFU probe. This is used to set the temperature of each FUI feeding unit.
Chicken Whole Blood, non-sterile with Sodium Citrate Pel-Freez Biologicals 33130-1 The 500 ml of blood were frozen and stored in 20 ml aliquots at -80 degrees C for up to 1 year.  Thaw blood at room temperature for at least 1 h before using.

References

  1. Bilyk, K. T., Cheng, C. H. C. Model of gene expression in extreme cold – reference transcriptome for the high-Antarctic cryopelagic notothenioid fish Pagothenia borchgrevinki. BMC Genomics. 14, 634 (2013).
  2. Chapman, M. A., Hiscock, S. J., Filatov, D. A. Genomic divergence during speciation driven by adaptation to altitude. Mol. Biol. Evol. 30, 2553-2567 (2013).
  3. Schwarz, D., et al. Sympatric ecological speciation meets pyrosequencing: sampling the transcriptome of the apple maggot Rhagoletis pomonella. BMC Genomics. 10, 633 (2009).
  4. Barshis, D. J., et al. Genomic basis for coral resilience to climate change. P. Natl Acad. Sci. USA. 110, 1387-1392 (2013).
  5. Urbanski, J. M., Aruda, A., Armbruster, P. A. A transcriptional element of the diapause program in the Asian tiger mosquito, Aedes albopictus, identified by suppressive subtractive hybridization. J. Insect Physiol. 56, 1147-1154 (2010).
  6. Huang, Y. H., et al. The duck genome and transcriptome provide insight into an avian influenza virus reservoir species. Nat. Genet. 45, 776-783 (2013).
  7. Sessions, O. M., et al. Host cell transcriptome profile during wild-type and attenuated dengue virus infection. PLoS Negl. Trop. Dis. 7 (3), 2107 (2013).
  8. Poelchau, M. F., Reynolds, J. A., Elsik, C. G., Denlinger, D. L., Armbruster, P. A. Deep sequencing reveals complex mechanisms of diapause preparation in the invasive mosquito, Aedes albopictus. P. R. Soc B. 280, (2013).
  9. Poelchau, M. F., Reynolds, J. A., Elsik, C. G., Denlinger, D. L., Armbruster, P. A. Transcriptome sequencing as a platform to elucidate molecular components of the diapause response in Aedes albopictus. Physiol. Entomol. 38, 173-181 (2013).
  10. Poelchau, M. F., Reynolds, J. A., Denlinger, D. L., Elsik, C. G., Armbruster, P. A. A de novo transcriptome of the Asian tiger mosquito, Aedes albopictus, to identify candidate transcripts for diapause preparation. BMC Genomics. 12, 619 (2011).
  11. Benedict, M. Q., Levine, R. S., Hawley, W. A., Lounibos, L. P. Spread of the tiger: Global risk of invasion by the mosquito Aedes albopictus. Vector-Borne Zoonot. 7, 76-85 (2007).
  12. Lounibos, L. P. Invasions by insect vectors of human disease. Annu. Rev. Entomol. 47, 233-266 (2002).
  13. Urbanski, J. M., et al. Rapid adaptive evolution of photoperiodic response during invasion and range expansion across a climatic gradient. Am. Nat. 179, 490-500 (2012).
  14. Lounibos, L. P., Escher, R. L., Lourenco-de-Oliveria, R. Asymmetric evolution of photoperiodic diapause in temperate and tropical invasive populations of Aedes albopictus (Diptera Culicidae). Ann. Entomol. Soc. Am. 96, 512-518 (2003).
  15. Mori, A., Oda, T., Wada, Y. . Studies on the egg diapause and overwintering of Aedes albopictus in Nagasaki. Trop. Med. 23, 79-90 (1981).
  16. Pumpuni, C. B. . Factors influencing photoperiodic control of egg diapause in Aedes albopictus [dissertation]. , (1989).
  17. Wang, R. L. Observations on the influence of photoperiod on egg diapause in Aedes albopictus Skuse. Acta Entomol. Sinica. 15, 75-77 (1966).
  18. Sota, T., Mogi, M. Survival-time and resistance to desiccation of diapause and non-diapause eggs of temperate Aedes (Stegomyia) mosquitoes. Entomol. Exp. Appl. 63, 155-161 (1992).
  19. Reynolds, J. A., Poelchau, M. F., Rahman, Z., Armbruster, P. A., Denlinger, D. L. Transcript profiling reveals mechanisms for lipid conservation during diapause in the mosquito, Aedes albopictus. J. Insect Physiol. 58, 966-973 (2012).
  20. Andrewartha, H. G. Diapause in relation to the ecology of insects. Biol. Rev. 27, 50-107 (1952).
  21. Danks, H. V. Insect Dormancy: An Ecological Perspective. Biological Survey of Canada (Terrestrial Arthropods). , (1987).
  22. Denlinger, D. L. Regulation of diapause. Ann. Rev. Entomol. 47, 93-122 (2002).
  23. Rev Entomol, A. n. n. . 59, 93-122 (2014).
  24. Armbruster, P. A., Conn, J. E. Geographic variation of larval growth in North American Aedes albopictus (Diptera). Culicidae). Ann. Entomol. Soc. Am. 99, 1234-1243 (2006).
  25. Reiter, P., Amador, M. A., Colon, N. Enhancement of the CDC ovitrap with hay infusions for daily monitoring of Aedes aegypti populations. J. Am. Mosquito Contr. Association. 7 (1), 52 (1991).
  26. Rezende, G. L., et al. Embryonic desiccation resistance in Aedes aegypti: presumptive role of the chitinized serosal cuticle. BMC Dev. Biol. 8, 182 (2008).
  27. Munstermann, L., Crampton, J., Beard, C., C, L. o. u. i. s. Care and maintenance of Aedes mosquito colonies. The Molecular Biology of Insect Disease Vectors. , 13-20 (1997).
  28. Trpis, M. A new bleaching and decalcifying method for general use in zoology. Can. J. Zoolog. 48, 892-893 (1970).
  29. Ning, Z. M., Cox, A. J., Mullikin, J. C. SSAHA: A fast search method for large DNA databases. Genome Res. 11 (10), 1725-1729 (2001).
  30. Cox, M. P., Peterson, D. A., Biggs, P. J. SolexaQA: At-a-glance quality assessment of Illumina second-generation sequencing data. BMC Bioinformatics. 11, 485 (2010).
  31. Grabherr, M. G., et al. Full-length transcriptome assembly from RNA-Seq data without a reference genome. Nat. Biotechnol. 29 (7), 644-652 (2011).
  32. Bradnam, K. R., et al. Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species. GigaScience. 2, 10 (2013).
  33. Li, B., Dewey, C. RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome. BMC Bioinformatics. 12, 323 (2011).
  34. White, B. N., De Lucca, F. L., Turner, R. B. Preparation and analysis of RNA. Analytical Biochemistry of Insects. , (1977).
  35. Hawley, W. A. The biology of Aedes albopictus. J. Am. Mosq. Contr. Assoc. 4, 1-39 (1988).
  36. Dowling, Z., Ladeau, S. L., Armbruster, P., Biehler, D., Leisnham, P. T. Socioeconomic status affect mosquito (Diptera:Culicidae) larval habitat type availability and infestation level. J. Med Entomol. 50, 764-772 (2013).
  37. Benedict, M. Q. Chapter 2,4,10. Bloodfeeding: Membrane apparatuses and animals. Methods in Anopheles Research. , (2010).
  38. Das, S., Garver, S., Ramirez, J. R., Xi, Z., Dimopolous, G. Protocol for dengue infections in mosquitoes (A. aegypti) and infection phenotype determination. J. Vis. Exp. 5 (220), (2007).
  39. Goff, S. A., et al. The iPlant collaborative: cyberinfrastructure for plant biology. Plant Sci. 2 (34), (2011).
  40. Robinson, M. D., McCarthy, D. J., Smyth, G. K. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 26, 139-140 (2010).
  41. Edgar, R. C., Haas, B. J., Clemente, J. C., Quince, C., Knight, R. UCHIME improves sensitivity and speed of chimera detection. Bioinformatics. 27 (16), 2194-2220 (2011).
  42. Goecks, J., et al. Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences. Genome Biol. 11 (8), 86 (2010).
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Cite This Article
Poelchau, M. F., Huang, X., Goff, A., Reynolds, J., Armbruster, P. An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus. J. Vis. Exp. (93), e51961, doi:10.3791/51961 (2014).

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