{"id":{"repo_id":"cau-kiel","oai_identifier":"oai:macau.uni-kiel.de:macau_mods_00008153"},"canonical_url":"https://search.dev.ndltd.org/etd/cau-kiel/oai:macau.uni-kiel.de:macau_mods_00008153","repository":{"repo_id":"cau-kiel","name":"Christian-Albrechts Universität Kiel","base_url":"https://macau.uni-kiel.de/servlets/OAIDataProvider"},"display":{"title":"Transcriptomics-Guided Biodiscovery of Peroxidases from Macroalgae","abstract":"Peroxidases are versatile enzymes with applications in laboratory analytics and industrial processes. Despite their relevance, many applications rely on a few well-characterized terrestrial enzymes, particularly horseradish peroxidase (HRP), whose complex post-translational modifications hinder cost-efficient recombinant production. Marine macroalgae, due to their phylogenetic diversity and ecological adaptations, represent a promising and largely untapped source of novel biocatalysts. The aim of this work was the transcriptomics-guided identification and characterization of novel enzymes, particularly peroxidases, from macroalgae. Adaptable RNA extraction protocols were developed for green, red, and brown algae, as well as seagrass and cyanobacteria. Using a CTAB-based lysis buffer and multistep purification, intact RNA was isolated from most of the 22 tested samples. These extracts and additional datasets were used to assemble and annotate ten transcriptomes comprising over 19,000 contigs. Approximately 70 candidate vanadium-dependent haloperoxidase (vHPO) genes were identified. They showed conserved catalytic motifs but high sequence diversity. Transcriptional analysis in Saccharina latissima under stress conditions indicated upregulation, particularly under oxidative stress, suggesting a role in stress response. In addition, a cytochrome c peroxidase from Bryopsis plumosa (BpCcP) was identified and recombinantly expressed in Escherichia coli as a fusion with a single-domain antibody (VHH). The fusion protein was successfully applied as a reporter enzyme in an ELISA, demonstrating both target binding and a detectable signal. Overall, this work establishes a transcriptome-based approach for enzyme discovery in macroalgae and highlights their potential as a source of biotechnologically relevant peroxidases. The generated transcriptome data provide a valuable resource for future research.","abstract_html":"Peroxidases are versatile enzymes with applications in laboratory analytics and industrial processes. Despite their relevance, many applications rely on a few well-characterized terrestrial enzymes, particularly horseradish peroxidase (HRP), whose complex post-translational modifications hinder cost-efficient recombinant production. Marine macroalgae, due to their phylogenetic diversity and ecological adaptations, represent a promising and largely untapped source of novel biocatalysts. The aim of this work was the transcriptomics-guided identification and characterization of novel enzymes, particularly peroxidases, from macroalgae. Adaptable RNA extraction protocols were developed for green, red, and brown algae, as well as seagrass and cyanobacteria. Using a CTAB-based lysis buffer and multistep purification, intact RNA was isolated from most of the 22 tested samples. These extracts and additional datasets were used to assemble and annotate ten transcriptomes comprising over 19,000 contigs. Approximately 70 candidate vanadium-dependent haloperoxidase (vHPO) genes were identified. They showed conserved catalytic motifs but high sequence diversity. Transcriptional analysis in Saccharina latissima under stress conditions indicated upregulation, particularly under oxidative stress, suggesting a role in stress response. In addition, a cytochrome c peroxidase from Bryopsis plumosa (BpCcP) was identified and recombinantly expressed in Escherichia coli as a fusion with a single-domain antibody (VHH). The fusion protein was successfully applied as a reporter enzyme in an ELISA, demonstrating both target binding and a detectable signal. Overall, this work establishes a transcriptome-based approach for enzyme discovery in macroalgae and highlights their potential as a source of biotechnologically relevant peroxidases. The generated transcriptome data provide a valuable resource for future research.","abstract_has_math":false,"creators":["Jensen, Timo"],"institution":"Christian-Albrechts-Universität zu Kiel","degree_name":null,"degree_level":"thesis.doctoral","degree_discipline":null,"degree_department":null,"school":null,"contributors":["Labes, Antje","Schulz, Rüdiger"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-12-18","date_published":"2025-12-18","updated_at":"2026-07-24T01:35:31Z","subjects":["macroalgae","peroxidases","vanadium-dependent haloperoxidases","transcriptomics","enzyme discovery","recombinant expression","cytochrome c peroxidase","reporter enzyme"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://macau.uni-kiel.de/receive/macau_mods_00008153","outbound_label":"Repository record","outbound_source":"source_url"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Labes, Antje","Schulz, Rüdiger"]},{"key":"dc:creator","label":"Author","values":["Jensen, Timo"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:publisher","label":"Institution","values":["Universitätsbibliothek Kiel"]},{"key":"dc:type","label":"Dc Type","values":["PhDThesis"]},{"key":"thesis:degree_level","label":"Degree Level","values":["thesis.doctoral"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Christian-Albrechts-Universität zu Kiel"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["macroalgae","peroxidases","vanadium-dependent haloperoxidases","transcriptomics","enzyme discovery","recombinant expression","cytochrome c peroxidase","reporter enzyme"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Peroxidases are versatile enzymes with applications in laboratory analytics and industrial processes. Despite their relevance, many applications rely on a few well-characterized terrestrial enzymes, particularly horseradish peroxidase (HRP), whose complex post-translational modifications hinder cost-efficient recombinant production. Marine macroalgae, due to their phylogenetic diversity and ecological adaptations, represent a promising and largely untapped source of novel biocatalysts. The aim of this work was the transcriptomics-guided identification and characterization of novel enzymes, particularly peroxidases, from macroalgae. Adaptable RNA extraction protocols were developed for green, red, and brown algae, as well as seagrass and cyanobacteria. Using a CTAB-based lysis buffer and multistep purification, intact RNA was isolated from most of the 22 tested samples. These extracts and additional datasets were used to assemble and annotate ten transcriptomes comprising over 19,000 contigs. Approximately 70 candidate vanadium-dependent haloperoxidase (vHPO) genes were identified. They showed conserved catalytic motifs but high sequence diversity. Transcriptional analysis in Saccharina latissima under stress conditions indicated upregulation, particularly under oxidative stress, suggesting a role in stress response. In addition, a cytochrome c peroxidase from Bryopsis plumosa (BpCcP) was identified and recombinantly expressed in Escherichia coli as a fusion with a single-domain antibody (VHH). The fusion protein was successfully applied as a reporter enzyme in an ELISA, demonstrating both target binding and a detectable signal. Overall, this work establishes a transcriptome-based approach for enzyme discovery in macroalgae and highlights their potential as a source of biotechnologically relevant peroxidases. The generated transcriptome data provide a valuable resource for future research."]},{"key":"dc:format.medium","label":"Dc Format Medium","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Transcriptomics-Guided Biodiscovery of Peroxidases from Macroalgae"]}]}],"canonical_facts":{"dc:contributor":["Labes, Antje","Schulz, Rüdiger"],"dc:creator":["Jensen, Timo"],"dc:description.abstract":["Peroxidases are versatile enzymes with applications in laboratory analytics and industrial processes. Despite their relevance, many applications rely on a few well-characterized terrestrial enzymes, particularly horseradish peroxidase (HRP), whose complex post-translational modifications hinder cost-efficient recombinant production. Marine macroalgae, due to their phylogenetic diversity and ecological adaptations, represent a promising and largely untapped source of novel biocatalysts. The aim of this work was the transcriptomics-guided identification and characterization of novel enzymes, particularly peroxidases, from macroalgae. Adaptable RNA extraction protocols were developed for green, red, and brown algae, as well as seagrass and cyanobacteria. Using a CTAB-based lysis buffer and multistep purification, intact RNA was isolated from most of the 22 tested samples. These extracts and additional datasets were used to assemble and annotate ten transcriptomes comprising over 19,000 contigs. Approximately 70 candidate vanadium-dependent haloperoxidase (vHPO) genes were identified. They showed conserved catalytic motifs but high sequence diversity. Transcriptional analysis in Saccharina latissima under stress conditions indicated upregulation, particularly under oxidative stress, suggesting a role in stress response. In addition, a cytochrome c peroxidase from Bryopsis plumosa (BpCcP) was identified and recombinantly expressed in Escherichia coli as a fusion with a single-domain antibody (VHH). The fusion protein was successfully applied as a reporter enzyme in an ELISA, demonstrating both target binding and a detectable signal. Overall, this work establishes a transcriptome-based approach for enzyme discovery in macroalgae and highlights their potential as a source of biotechnologically relevant peroxidases. The generated transcriptome data provide a valuable resource for future research."],"dc:format.medium":["application/pdf"],"dc:publisher":["Universitätsbibliothek Kiel"],"dc:subject":["macroalgae","peroxidases","vanadium-dependent haloperoxidases","transcriptomics","enzyme discovery","recombinant expression","cytochrome c peroxidase","reporter enzyme"],"dc:title":["Transcriptomics-Guided Biodiscovery of Peroxidases from Macroalgae"],"dc:type":["PhDThesis"],"thesis:degree_level":["thesis.doctoral"],"thesis:institution_name":["Christian-Albrechts-Universität zu Kiel"]},"updated_at":"2026-07-24T01:35:31Z"}