Optimized and affordable high‐throughput sequencing workflow for preserved and nonpreserved small zooplankton specimens

dc.contributor.authorBeninde, Jannik
dc.contributor.authorMöst, Markus
dc.contributor.authorMeyer, Axel
dc.date.accessioned2020-07-21T09:33:10Z
dc.date.available2020-07-21T09:33:10Z
dc.date.issued2020-11
dc.description.abstractGenomic analysis of hundreds of individuals is increasingly becoming standard in evolutionary and ecological research. Individual-based sequencing generates large amounts of valuable data from experimental and field studies, while using preserved samples is an invaluable resource for studying biodiversity in remote areas or across time. Yet, small-bodied individuals or specimens from collections are often of limited use for genomic analyses due to a lack of suitable extraction and library preparation protocols for preserved or small amounts of tissues. Currently, high-throughput sequencing in zooplankton is mostly restricted to clonal species, that can be maintained in live cultures to obtain sufficient amounts of tissue, or relies on a whole-genome amplification step that comes with several biases and high costs. Here, we present a workflow for high-throughput sequencing of single small individuals omitting the need for prior whole-genome amplification or live cultures. We establish and demonstrate this method using 27 species of the genus Daphnia, aquatic keystone organisms, and validate it with small-bodied ostracods. Our workflow is applicable to both live and preserved samples at low costs per sample. We first show that a silica-column based DNA extraction method resulted in the highest DNA yields for non-preserved samples while a precipitation-based technique gave the highest yield for ethanol-preserved samples and provided the longest DNA fragments. We then successfully performed short-read whole genome sequencing from single Daphnia specimens and ostracods. Moreover, we assembled a draft reference genome from a single Daphnia individual (> 50× coverage) highlighting the value of the workflow for non-model organisms.eng
dc.description.versionpublishedeng
dc.identifier.doi10.1111/1755-0998.13228eng
dc.identifier.pmid32677266eng
dc.identifier.ppn1742171052
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/50331
dc.language.isoengeng
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectHigh-throughput Sequencing, DNA Extraction, Invertebrates, Preserved Samples, Low-input, Whole Genome Sequencingeng
dc.subject.ddc570eng
dc.titleOptimized and affordable high‐throughput sequencing workflow for preserved and nonpreserved small zooplankton specimenseng
dc.typeJOURNAL_ARTICLEeng
dspace.entity.typePublication
kops.citation.bibtex
@article{Beninde2020-11Optim-50331,
  year={2020},
  doi={10.1111/1755-0998.13228},
  title={Optimized and affordable high‐throughput sequencing workflow for preserved and nonpreserved small zooplankton specimens},
  number={6},
  volume={20},
  issn={1755-098X},
  journal={Molecular Ecology Resources},
  pages={1632--1646},
  author={Beninde, Jannik and Möst, Markus and Meyer, Axel}
}
kops.citation.iso690BENINDE, Jannik, Markus MÖST, Axel MEYER, 2020. Optimized and affordable high‐throughput sequencing workflow for preserved and nonpreserved small zooplankton specimens. In: Molecular Ecology Resources. Wiley. 2020, 20(6), pp. 1632-1646. ISSN 1755-098X. eISSN 1755-0998. Available under: doi: 10.1111/1755-0998.13228deu
kops.citation.iso690BENINDE, Jannik, Markus MÖST, Axel MEYER, 2020. Optimized and affordable high‐throughput sequencing workflow for preserved and nonpreserved small zooplankton specimens. In: Molecular Ecology Resources. Wiley. 2020, 20(6), pp. 1632-1646. ISSN 1755-098X. eISSN 1755-0998. Available under: doi: 10.1111/1755-0998.13228eng
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kops.sourcefieldMolecular Ecology Resources. Wiley. 2020, <b>20</b>(6), pp. 1632-1646. ISSN 1755-098X. eISSN 1755-0998. Available under: doi: 10.1111/1755-0998.13228deu
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kops.sourcefield.plainMolecular Ecology Resources. Wiley. 2020, 20(6), pp. 1632-1646. ISSN 1755-098X. eISSN 1755-0998. Available under: doi: 10.1111/1755-0998.13228eng
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source.periodicalTitleMolecular Ecology Resourceseng
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