Transcriptome analysis of single cells: a plankton characterization of Arctic waters

The functional and taxonomic diversity of marine protists in the Arctic is large and a scientifically underestimated source of biodiversity. However, this diversity is being masked in terms of environmental bulk sampling, just as it is done within population-averaged samples retrieved from pure cult...

Full description

Bibliographic Details
Main Author: Kalita, Sabrina
Format: Thesis
Language:unknown
Published: University of Applied Sciences Bremerhaven - Faculty 1, Bremerhaven, Germany 2018
Subjects:
Online Access:https://epic.awi.de/id/eprint/48872/
https://hdl.handle.net/10013/epic.fa205a4a-b21e-4bd2-8f8c-d6b2ef6dc87c
id ftawi:oai:epic.awi.de:48872
record_format openpolar
spelling ftawi:oai:epic.awi.de:48872 2024-09-15T17:50:37+00:00 Transcriptome analysis of single cells: a plankton characterization of Arctic waters Kalita, Sabrina 2018-03-26 https://epic.awi.de/id/eprint/48872/ https://hdl.handle.net/10013/epic.fa205a4a-b21e-4bd2-8f8c-d6b2ef6dc87c unknown University of Applied Sciences Bremerhaven - Faculty 1, Bremerhaven, Germany Kalita, S. (2018) Transcriptome analysis of single cells: a plankton characterization of Arctic waters , Master thesis, University of Applied Sciences Bremerhaven - Faculty 1, Bremerhaven, Germany. hdl:10013/epic.fa205a4a-b21e-4bd2-8f8c-d6b2ef6dc87c EPIC3University of Applied Sciences Bremerhaven - Faculty 1, Bremerhaven, Germany, 112 p. Thesis notRev 2018 ftawi 2024-06-24T04:21:00Z The functional and taxonomic diversity of marine protists in the Arctic is large and a scientifically underestimated source of biodiversity. However, this diversity is being masked in terms of environmental bulk sampling, just as it is done within population-averaged samples retrieved from pure cultures. Yet in recent years, low-input RNA-sequencing methods have been adapted to work with single cells. Thus, increasing the number of unicellular transcriptomes sequenced and deepening the knowledge about the species distribution as well as phylogeny based on functional data analysis pipelines. Within this thesis, the SMART-Seq v4 protocol by Takara Clontech was successfully applied to study single cells during the HE492 field trip in Arctic waters. Further, it greatly enabled the simultaneous processing of multiple protists around Spitsbergen. Altogether, 42 single cells have been processed with the SMART-Seq v4 protocol. Afterwards 21 samples were indexed according to the Illumina Nextera XT library preparation protocol and subsequently 20 individual cDNA libraries pooled for sequencing on the Illumina NextSeq 500 platform. After sequencing each transcriptome has been de novo assembled and annotated via the Trinotate processing pipeline. Overall, the thesis evaluates the work flow establishment regarding single cell transcriptomics as a tool for field sampling and analysis positively, as resulted sequence data could be promisingly functionally annotated. The results demonstrate the possibility to study single cells to quantify inter-population heterogeneity previously masked in bulk measurements and moreover the method bypasses the need of cell cultivation. Ultimately single cell approaches will open new analytical avenues for studying culture independent unicellular plankton species in terms of cell subtypes and gene expression dynamics even in remote areas. Thesis Arctic Spitsbergen Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description The functional and taxonomic diversity of marine protists in the Arctic is large and a scientifically underestimated source of biodiversity. However, this diversity is being masked in terms of environmental bulk sampling, just as it is done within population-averaged samples retrieved from pure cultures. Yet in recent years, low-input RNA-sequencing methods have been adapted to work with single cells. Thus, increasing the number of unicellular transcriptomes sequenced and deepening the knowledge about the species distribution as well as phylogeny based on functional data analysis pipelines. Within this thesis, the SMART-Seq v4 protocol by Takara Clontech was successfully applied to study single cells during the HE492 field trip in Arctic waters. Further, it greatly enabled the simultaneous processing of multiple protists around Spitsbergen. Altogether, 42 single cells have been processed with the SMART-Seq v4 protocol. Afterwards 21 samples were indexed according to the Illumina Nextera XT library preparation protocol and subsequently 20 individual cDNA libraries pooled for sequencing on the Illumina NextSeq 500 platform. After sequencing each transcriptome has been de novo assembled and annotated via the Trinotate processing pipeline. Overall, the thesis evaluates the work flow establishment regarding single cell transcriptomics as a tool for field sampling and analysis positively, as resulted sequence data could be promisingly functionally annotated. The results demonstrate the possibility to study single cells to quantify inter-population heterogeneity previously masked in bulk measurements and moreover the method bypasses the need of cell cultivation. Ultimately single cell approaches will open new analytical avenues for studying culture independent unicellular plankton species in terms of cell subtypes and gene expression dynamics even in remote areas.
format Thesis
author Kalita, Sabrina
spellingShingle Kalita, Sabrina
Transcriptome analysis of single cells: a plankton characterization of Arctic waters
author_facet Kalita, Sabrina
author_sort Kalita, Sabrina
title Transcriptome analysis of single cells: a plankton characterization of Arctic waters
title_short Transcriptome analysis of single cells: a plankton characterization of Arctic waters
title_full Transcriptome analysis of single cells: a plankton characterization of Arctic waters
title_fullStr Transcriptome analysis of single cells: a plankton characterization of Arctic waters
title_full_unstemmed Transcriptome analysis of single cells: a plankton characterization of Arctic waters
title_sort transcriptome analysis of single cells: a plankton characterization of arctic waters
publisher University of Applied Sciences Bremerhaven - Faculty 1, Bremerhaven, Germany
publishDate 2018
url https://epic.awi.de/id/eprint/48872/
https://hdl.handle.net/10013/epic.fa205a4a-b21e-4bd2-8f8c-d6b2ef6dc87c
genre Arctic
Spitsbergen
genre_facet Arctic
Spitsbergen
op_source EPIC3University of Applied Sciences Bremerhaven - Faculty 1, Bremerhaven, Germany, 112 p.
op_relation Kalita, S. (2018) Transcriptome analysis of single cells: a plankton characterization of Arctic waters , Master thesis, University of Applied Sciences Bremerhaven - Faculty 1, Bremerhaven, Germany. hdl:10013/epic.fa205a4a-b21e-4bd2-8f8c-d6b2ef6dc87c
_version_ 1810292428993724416