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Sea for yourself: evaluating the ddRADseq Stacks de novo pipeline with a reference genome in the deep-sea sponge Geodia barretti
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Organismal Biology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Medicinal Chemistry, Farmakognosi. (Pharmacognosy)ORCID iD: 0000-0003-0499-1430
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(English)Manuscript (preprint) (Other academic)
Abstract [en]

Reduced representation sequencing appraches such as ddRADseq allow to assess population connectivity and infer population summary statistics, both with and without a reference genome. However, as ddRADseq employs total DNA indiscriminate of the origin, the method warrants validation prior to application in microbial rich systems. One example of a complex system are sponges such as the North Atlantic high microbial abundance sponge Geodia barretti. This species is known to maintain large, putatively disjoint populations across the deep-sea, but its dispersal capabilities remain unclear as larvae have never been observed. To study the effect of microbial contamination on data processing and population genetic inference in ddRADseq, we produced a reference genome of G. barretti and collected 163 individuals across its habitat range and bathymetry (35–1560 m) in the North Atlantic. We processed the data with Stacks2 both with and without a reference genome (de novo and hybrid/‘reference-integrated’ approach). We found that strong population structures are recovered by both approaches and across different population genetic analyses (fastStructure, PCA, FST). Compared to previous work using microsatellites in shallow populations, we found only very weak population structure across large geographic stretches (>1000 km). However, over a third  (34%) of the final loci produced by the de novo pipeline did not map to the reference genome indicating that these might be of microbial origin. For comparably complex systems this means that de novo RRS genotyping approaches may contain a considerable amount of off-target loci potentially biasing the results.

National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:uu:diva-460986OAI: oai:DiVA.org:uu-460986DiVA, id: diva2:1618707
Available from: 2021-12-10 Created: 2021-12-10 Last updated: 2021-12-12
In thesis
1. Genomics and metabolomics in the North Atlantic deep-sea sponge Geodia barretti
Open this publication in new window or tab >>Genomics and metabolomics in the North Atlantic deep-sea sponge Geodia barretti
2022 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Sponges are among the earliest diverging taxa in the animal tree of life. They are sessile, filter-feeding animals found in marine and freshwater habitats. Many species are characterized by a close, specific and consistent association with microbes, mainly Bacteria and Archaea. This feature has been known for a long time and is suggested to be a factor contributing to the rich and diverse chemical output of the sponges. This thesis explored the effect of the habitat, specifically water mass or depth on sponges, their associated microbes, and their combined chemical output. The focal species of this thesis was the North Atlantic deep-sea high microbial abundance (HMA) demosponge Geodia barretti.

In Paper I, 16S rRNA gene amplicon sequencing and untargeted metabolomics were used to quantify variation in prokaryotic community composition and chemical output in three sponge species. Water masses structured the prokaryotic community composition in the HMA species G. barretti and Stryphnus fortis. The community composition of the low microbial abundance (LMA) sponge Weberella bursa was unaffected by depth. Untargeted metabolomic data was modelled by depth. This allowed for identification of individual compounds varying with depth. Among those compounds were many putative osmolytes as well as diketopiperazines. Bioactive peptides and brominated tryptophan derivatives were unaffected by depth.

In Paper II the diversity of the barrettide peptide family was explored in DNA sequencing data and chemical profiles across a wide selection of sponge species and G. barretti in particular. Five new barrettides were predicted and one sequence, barrettide C, was confirmed by solid phase peptide synthesis and co-elution with a native extract, antifouling bioassays and NMR structure elucidation. The confidence gained from sequence analysis and validating predictions lead us to suggest barrettides are a family of antifouling peptides in G. barretti.

In Paper III, a reduced representation sequencing approach was used to evaluate the Stacks de novo pipeline in HMA sponges with the help of a whole genome assembled for this purpose. With this data, gene flow and connectivity were investigated in G. barretti populations sampled across the North Atlantic. The de novo pipeline was found to assemble and retain many putatively microbial loci and should thus only be used with reservations in HMA sponges. However, regarding biological inferences, strong population structure was recovered despite the apparent contamination.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2022. p. 73
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Pharmacy, ISSN 1651-6192 ; 305
Keywords
demosponge, whole genome sequencing, population genetics, peptide synthesis
National Category
Genetics and Genomics Biochemistry Molecular Biology Other Chemistry Topics
Research subject
Pharmacognosy
Identifiers
urn:nbn:se:uu:diva-461069 (URN)978-91-513-1365-8 (ISBN)
Public defence
2022-02-11, room A1:111a, BMC, Husargatan 3, Uppsala, 13:15 (English)
Opponent
Supervisors
Funder
EU, Horizon 2020, 679849
Available from: 2022-01-19 Created: 2021-12-12 Last updated: 2025-02-20

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Steffen, KarinCárdenas, Paco

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