Skip to main content

The Gut Microbiota Composition of the Moth Brithys crini Reflects Insect Metamorphosis

Abstract

Lepidoptera is a highly diverse insect order with major importance in agriculture as many species are considered pests. The role of the gut microbiota in insect physiology is still poorly understood, despite the research undertaken in recent years. Furthermore, Lepidoptera are holometabolous insects and few studies have addressed the influence of the changes taking place on the gut microbiome composition and diversity during metamorphosis, especially in monophagous species. The V3-V4 region of the 16S rRNA gene was sequenced to investigate the microbiota composition and diversity of the monophagous moth Brithys crini during three different life stages: egg, larvae (midgut and hindgut), and adult (gut). Our results showed that the microbiota composition of B. crini was stage specific, indicating that the developmental stage is a main factor affecting the gut microbiome in composition and potential functions. Moreover, the diversity of the gut microbiome reflected the developmental process, since a drop in diversity occurred between the larval and the adult phase, when the intestine is completely renewed. In spite of the changes in the gut microbiota during metamorphosis, 29 genera were conserved throughout the three developmental stages, mainly belonging to the Proteobacteria phylum, which define the core microbiome of B. crini. These genera seem to contribute to host physiology by participating in food digestion, nutrition, and detoxification mechanisms.

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Data Availability

All sequenced data are deposited at the European Nucleotide Archive (ENA) under accession number PRJEB32079.

References

  1. Engel P, Moran NA (2013) The gut microbiota of insects—diversity in structure and function. FEMS Microbiol Rev. https://doi.org/10.1111/1574-6976.12025

  2. Douglas AE (2014) Multiorganismal insects: diversity and function of resident microorganisms. Ann Rev Entomol. https://doi.org/10.1146/annurev-ento-010814-020822

  3. Sahayaraj K (2015) Biocontrol of lepidopteran pests, vol 43. https://doi.org/10.1007/978-3-319-14499-3

  4. Voirol LRP, Frago E, Kaltenpoth M, Hilker M, Fatouros NE (2018) Bacterial symbionts in lepidoptera: their diversity, transmission, and impact on the host. Front Microbiol. https://doi.org/10.3389/fmicb.2018.00556

  5. Broderick NA, Raffa KF, Goodman RM, Handelsman J (2004) Census of the bacterial community of the gypsy moth larval midgut by using culturing and culture-independent methods. Appl Environ Microbiol. https://doi.org/10.1128/AEM.70.1.293-300.2004

  6. Mason CJ, Raffa KF (2014) Acquisition and structuring of midgut bacterial communities in gypsy moth (Lepidoptera: Erebidae) larvae. Environ Entomol. https://doi.org/10.1603/en14031

  7. Tang X, Freitak D, Vogel H, Ping L, Shao Y, Cordero EA et al (2012) Complexity and variability of gut commensal microbiota in polyphagous lepidopteran larvae. PLoS One. https://doi.org/10.1371/journal.pone.0036978

  8. Vilanova C, Baixeras J, Latorre A, Porcar M (2016) The generalist inside the specialist: gut bacterial communities of two insect species feeding on toxic plants are dominated by Enterococcus sp. Front Microbiol. https://doi.org/10.3389/fmicb.2016.01005

  9. Chen B, Teh BS, Sun C, Hu S, Lu X, Boland W, Shao Y (2016) Biodiversity and activity of the gut microbiota across the life history of the insect herbivore Spodoptera littoralis. Sci Rep. https://doi.org/10.1038/srep29505

  10. Hammer TJ, McMillan WO, Fierer N (2014) Metamorphosis of a butterfly-associated bacterial community. PLoS One. https://doi.org/10.1371/journal.pone.0086995

  11. Janzen DH, Jaffe SP, Hallwachs W, Hammer TJ, Fierer N (2017) Caterpillars lack a resident gut microbiome. Proc Natl Acad Sci. https://doi.org/10.1073/pnas.1707186114

  12. Mereghetti V, Chouaia B, Limonta L, Locatelli DP, Montagna M (2017) Evidence for a conserved microbiota across the different developmental stages of Plodia interpunctella. Insect Sci. https://doi.org/10.1111/1744-7917.12551

  13. Rowland IJ, Goodman WG (2016) Magnetic resonance imaging of alimentary tract development in Manduca sexta. PLoS One. https://doi.org/10.1371/journal.pone.0157124

  14. Johnston PR, Rolff J (2015) Host and symbiont jointly control gut microbiota during complete metamorphosis. PLoS Pathog. https://doi.org/10.1371/journal.ppat.1005246

  15. Suzuki T, Sakurai S, Iwami M (2010) Juvenile hormone delays the initiation of rectal sac distention by disrupting ecdysteroid action in the silkworm, Bombyx mori. Pesticide Biochem Physiol. https://doi.org/10.1016/j.pestbp.2010.01.005

  16. Moll RM, Romoser WS, Modrakowski MC, Moncayo AC, Lerdthusnee K, Terenius O et al (2001) Meconial peritrophic membranes and the fate of midgut bacteria during mosquito (Diptera: Culicidae) metamorphosis. J Med Entomol. https://doi.org/10.1603/0022-2585-38.1.29

  17. Eaton JL (1988) Lepidopteran anatomy. New York; Chichester; Brisbane: J. Wiley & Sons

  18. Mereghetti V, Chouaia B, Montagna M (2017) New insights into the microbiota of moth pests. Int J Mol Sci. https://doi.org/10.3390/ijms18112450

  19. Ibrahim SRM, Mohamed GA, Shaala LA, Youssef DTA, El Sayed KA (2013) New alkaloids from Pancratium maritimum. Planta Med. https://doi.org/10.1055/s-0033-1350741

  20. Heppner JB (2000) Spanish moth, Xanthopastis timais (Lepidoptera: Noctuidae): a pest of amaryllis and other lillies. Fla. Department Agric. & Consumer Services, Division of Plant Industry

  21. Schmieder R, Edwards R (2011) Quality control and preprocessing of metagenomic datasets. Bioinformatics. https://doi.org/10.1093/bioinformatics/btr026

  22. Magoč T, Salzberg SL (2011) FLASH: fast length adjustment of short reads to improve genome assemblies. Bioinformatics. https://doi.org/10.1093/bioinformatics/btr507

  23. Edgar R (2016) UCHIME2: improved chimera prediction for amplicon sequencing. BioRxiv. https://doi.org/10.1101/074252

  24. Wang Q, Garrity GM, Tiedje JM, Cole JR (2007) Naïve Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl Environ Microbiol. https://doi.org/10.1128/AEM.00062-07

  25. Cole JR, Wang Q, Cardenas E, Fish J, Chai B, Farris RJ et al (2009) The ribosomal database project: improved alignments and new tools for rRNA analysis. Nucleic Acids Res. 37(Database issue):D141–D145. https://doi.org/10.1093/nar/gkn879

    CAS  Article  PubMed  Google Scholar 

  26. Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, Fierer N, Peña AG, Goodrich JK, Gordon JI, Huttley GA, Kelley ST, Knights D, Koenig JE, Ley RE, Lozupone CA, McDonald D, Muegge BD, Pirrung M, Reeder J, Sevinsky JR, Turnbaugh PJ, Walters WA, Widmann J, Yatsunenko T, Zaneveld J, Knight R (2010) QIIME allows analysis of high-throughput community sequencing data. Nat Methods 7(5):335–336. https://doi.org/10.1038/nmeth.f.303

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  27. Baselga A, Orme CD (2012) Betapart: partitioning beta diversity into turnover and nestedness components. Methods Ecol Evol 3(5):808–812. https://doi.org/10.1111/j.2041-210X.2012.00224.x

    Article  Google Scholar 

  28. Baselga A (2010) Partitioning the turnover and nestedness components of beta diversity. Macroecological Methods 19:134–143. https://doi.org/10.1111/j.1466-8238.2009.00490.x

    Article  Google Scholar 

  29. Oksanen J (2015) Multivariate analysis of ecological communities in R: vegan tutorial. R Documentation 43. https://doi.org/10.1016/0169-5347(88)90124-3

  30. Segata, N., Izard, J., Waldron, L., Gevers, D., Miropolsky, L., Garrett, W. S., & Huttenhower, C. (n.d.). Metagenomic biomarker discovery and explanation. Retrieved from http://huttenhower.sph

  31. Friedman J, Alm EJ (2012) Inferring correlation networks from genomic survey data. PLoS Comput Biol. https://doi.org/10.1371/journal.pcbi.1002687

  32. Csardi G, Nepusz T. (2006). The igraph software package for complex network research. InterJournal, Complex Sy, 1695. Retrieved from http://igraph.org

  33. Langille MG, Zaneveld J, Caporaso JG, McDonald D, Knights D, Reyes JA, Huttenhower C (2013) Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences. Nat Biotechnol. https://doi.org/10.1038/nbt.2676

  34. Bastida J, Berkov S, Torras L, Pigni NB, Andrade JP de, Martínez V, Codina C, Viladomat F (2011) In: Muñoz-Torrero D (ed) 3. Chemical and biological aspects of Amaryllidaceae alkaloids. Recent advances in pharmaceutical sciences, 2011: 65–100

  35. Snyman M, Gupta AK, Bezuidenhout CC, Claassens S, van den Berg J (2016) Gut microbiota of Busseola fusca (Lepidoptera: Noctuidae). World J Microbiol Biotechnol 32:1–9. https://doi.org/10.1007/s11274-016-2066-8

    CAS  Article  Google Scholar 

  36. van Schooten B, Godoy-Vitorino F, McMillan WO, Papa R (2018) Conserved microbiota among young Heliconius butterfly species. PeerJ. https://doi.org/10.7717/peerj.5502

  37. Sun C, Xie S, Lan Y, Lu X, Du K, Chen B et al (2018) Comparative shotgun metagenomic data of the silkworm Bombyx mori gut microbiome. Scientific Data. https://doi.org/10.1038/sdata.2018.285

  38. Pinto-Tomás A, Sittenfeld A, Uribe-Lorío L, Chavarría F, Mora M, Janzen DH et al (2011) Comparison of midgut bacterial diversity in tropical caterpillars (Lepidoptera: Saturniidae) fed on different diets. Environ Entomol. https://doi.org/10.1603/EN11083

  39. Robinson CJ, Schloss P, Ramos Y, Raffa K, Handelsman J (2010) Robustness of the bacterial community in the cabbage white butterfly larval midgut. Microb Ecol. https://doi.org/10.1007/s00248-009-9595-8

  40. Halpern M, Fridman S, Atamna-Ismaeel N, Izhaki I (2013) Rosenbergiella nectarea gen. nov., sp. nov., in the family Enterobacteriaceae, isolated from floral nectar. Int J Syst Evol Microbiol. https://doi.org/10.1099/ijs.0.052217-0

  41. Sarma PM, Bhattacharya D, Krishnan S, Lal B (2004) Degradation of polycyclic aromatic hydrocarbons by a newly discovered enteric bacterium, Leclercia adecarboxylata. Appl Environ Microbiol. https://doi.org/10.1128/AEM.70.5.3163-3166.2004

  42. Dugas JE, Zurek L, Paster BJ, Keddie BA, Leadbetter ER (2001) Isolation and characterization of a Chryseobacterium strain from the gut of the American cockroach, Periplaneta americana. Arch Microbiol 175:259–262. https://doi.org/10.1007/s002030000243

    CAS  Article  PubMed  Google Scholar 

  43. Young M (2009). W. E. Conner (ed): Tiger moths and woolly bears. Behaviour, ecology and evolution of the arctiidae. Journal of Insect Conservation https://doi.org/10.1007/s10841-009-9220-7

  44. Gil R, Latorre A (2019) Unity makes strength: a review on mutualistic symbiosis in representative insect clades. Life (Basel). https://doi.org/10.3390/life9010021

  45. Sikorowski PP, Lawrence AM (1998) Transmission of Serratia marcescens (Enterobacteriaceae) in adult Heliothis virescens (Lepidoptera: Noctuidae) laboratory colonies. Biol Control. https://doi.org/10.1006/bcon.1997.0609

  46. Grimont PAD, Grimont F (2003) The genus Serratia. Annu Rev Microbiol. https://doi.org/10.1146/annurev.mi.32.100178.001253

  47. Lapenda JC, Silva PA, Vicalvi MC, Sena KXFR, Nascimento SC (2015) Antimicrobial activity of prodigiosin isolated from Serratia marcescens UFPEDA 398. World J Microbiol Biotechnol 31:399–406. https://doi.org/10.1007/s11274-014-1793-y

    CAS  Article  PubMed  Google Scholar 

  48. Mazzafera P, Olsson O, Sandberg G (1996) Degradation of caffeine and related methylxanthines by Serratia marcescens isolated from soil under coffee cultivation. Microb Ecol 31:199–207. https://doi.org/10.1007/BF00167865

    CAS  Article  PubMed  Google Scholar 

  49. Rojas-Avelizapa NG, Cervantes-Gonzalez E, Cruz-Camarillo R, Rojas-Avelizapa LI (2002) Degradation of aromatic and asphaltenic fractions by Serratia liquefasciens and Bacillus sp. Bull Environ Contam Toxicol 69:0835–0842. https://doi.org/10.1007/s00128-002-0135-1

    CAS  Article  Google Scholar 

  50. Galac MR, Lazzaro BP (2012) Comparative genomics of bacteria in the genus Providencia isolated from wild Drosophila melanogaster. BMC Genomics 13:1–18. https://doi.org/10.1186/1471-2164-13-612

    CAS  Article  Google Scholar 

Download references

Acknowledgments

We thank the UNAM-DGECI International scholarship for supporting Francisco González during his stay in Universitat de València. We thank Dr. Martínez-Martínez for his help in collecting B. crini eggs and Antonio González Serrano for editing Fig. 1b by Adobe Photoshop.

Funding

This work was funded by Ministerio de Economía, Industria y Competitividad (Spain) to AM (project SAF2015-65878-R) and AL (project BFU2015-64322-C2-1-R and PGC2018-099344-B-100), Generalitat Valenciana (Prometeo/2018/A/133), Asociación Española contra el Cancer (project AECC 2017-1485) and co-financed by the European Regional Development Fund (ERDF).

Author information

Affiliations

Authors

Contributions

A. Moya conceived the work. F. González-Serrano, T. A. E. Pérez-Cobas, T. Rosas-Pérez, and J. Baixeras, performed the experiments and the analyses. The manuscript was drafted and assembled by F. González-Serrano, A. E. Pérez-Cobas, and A. Latorre, coordinated by A. Moya and A. Latorre. All authors participated in the editing of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Andrés Moya.

Ethics declarations

Conflict of Interests

The authors declare that they have no conflict of interest.

Electronic supplementary material

ESM 1

(DOCX 642 kb)

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

González-Serrano, F., Pérez-Cobas, A.E., Rosas, T. et al. The Gut Microbiota Composition of the Moth Brithys crini Reflects Insect Metamorphosis. Microb Ecol 79, 960–970 (2020). https://doi.org/10.1007/s00248-019-01460-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00248-019-01460-1

Keywords

  • Gut microbiome
  • Moth
  • Holometabolous development
  • B. crini
  • 16S rRNA sequencing