A Transcriptomic Approach to the Metabolism of Tetrapyrrolic Photosensitizers in a Marine Annelid
The past decade has seen growing interest in marine natural pigments for biotechnological applications. One of the most abundant classes of biological pigments is the tetrapyrroles, which are prized targets due their photodynamic properties; porphyrins are the best known examples of this group. Many...
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doaj-c047b152c1e74e8a81bc1606c21f089c2021-07-15T15:42:26ZengMDPI AGMolecules1420-30492021-06-01263924392410.3390/molecules26133924A Transcriptomic Approach to the Metabolism of Tetrapyrrolic Photosensitizers in a Marine AnnelidMaria Leonor Santos0Mariaelena D’Ambrosio1Ana P. Rodrigo2A. Jorge Parola3Pedro M. Costa4UCIBIO–Applied Molecular Biosciences Unit, Department of Life Sciences, NOVA School of Science and Technology, FCT-NOVA, NOVA University of Lisbon, 2829-516 Caparica, PortugalUCIBIO–Applied Molecular Biosciences Unit, Department of Life Sciences, NOVA School of Science and Technology, FCT-NOVA, NOVA University of Lisbon, 2829-516 Caparica, PortugalUCIBIO–Applied Molecular Biosciences Unit, Department of Life Sciences, NOVA School of Science and Technology, FCT-NOVA, NOVA University of Lisbon, 2829-516 Caparica, PortugalLAQV–Associate Laboratory for Green Chemistry, Department of Chemistry, NOVA School of Science and Technology, FCT-NOVA, NOVA University of Lisbon, 2829-516 Caparica, PortugalUCIBIO–Applied Molecular Biosciences Unit, Department of Life Sciences, NOVA School of Science and Technology, FCT-NOVA, NOVA University of Lisbon, 2829-516 Caparica, PortugalThe past decade has seen growing interest in marine natural pigments for biotechnological applications. One of the most abundant classes of biological pigments is the tetrapyrroles, which are prized targets due their photodynamic properties; porphyrins are the best known examples of this group. Many animal porphyrinoids and other tetrapyrroles are produced through heme metabolic pathways, the best known of which are the bile pigments biliverdin and bilirubin. <i>Eulalia</i> is a marine Polychaeta characterized by its bright green coloration resulting from a remarkably wide range of greenish and yellowish tetrapyrroles, some of which have promising photodynamic properties. The present study combined metabolomics based on HPLC-DAD with RNA-seq transcriptomics to investigate the molecular pathways of porphyrinoid metabolism by comparing the worm’s proboscis and epidermis, which display distinct pigmentation patterns. The results showed that pigments are endogenous and seemingly heme-derived. The worm possesses homologs in both organs for genes encoding enzymes involved in heme metabolism such as ALAD, FECH, UROS, and PPOX. However, the findings also indicate that variants of the canonical enzymes of the heme biosynthesis pathway can be species- and organ-specific. These differences between molecular networks contribute to explain not only the differential pigmentation patterns between organs, but also the worm’s variety of novel endogenous tetrapyrrolic compounds.https://www.mdpi.com/1420-3049/26/13/3924porphyrin metabolismphotodynamichemebile pigmentsAnnelidabioinformatics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Maria Leonor Santos Mariaelena D’Ambrosio Ana P. Rodrigo A. Jorge Parola Pedro M. Costa |
spellingShingle |
Maria Leonor Santos Mariaelena D’Ambrosio Ana P. Rodrigo A. Jorge Parola Pedro M. Costa A Transcriptomic Approach to the Metabolism of Tetrapyrrolic Photosensitizers in a Marine Annelid Molecules porphyrin metabolism photodynamic heme bile pigments Annelida bioinformatics |
author_facet |
Maria Leonor Santos Mariaelena D’Ambrosio Ana P. Rodrigo A. Jorge Parola Pedro M. Costa |
author_sort |
Maria Leonor Santos |
title |
A Transcriptomic Approach to the Metabolism of Tetrapyrrolic Photosensitizers in a Marine Annelid |
title_short |
A Transcriptomic Approach to the Metabolism of Tetrapyrrolic Photosensitizers in a Marine Annelid |
title_full |
A Transcriptomic Approach to the Metabolism of Tetrapyrrolic Photosensitizers in a Marine Annelid |
title_fullStr |
A Transcriptomic Approach to the Metabolism of Tetrapyrrolic Photosensitizers in a Marine Annelid |
title_full_unstemmed |
A Transcriptomic Approach to the Metabolism of Tetrapyrrolic Photosensitizers in a Marine Annelid |
title_sort |
transcriptomic approach to the metabolism of tetrapyrrolic photosensitizers in a marine annelid |
publisher |
MDPI AG |
series |
Molecules |
issn |
1420-3049 |
publishDate |
2021-06-01 |
description |
The past decade has seen growing interest in marine natural pigments for biotechnological applications. One of the most abundant classes of biological pigments is the tetrapyrroles, which are prized targets due their photodynamic properties; porphyrins are the best known examples of this group. Many animal porphyrinoids and other tetrapyrroles are produced through heme metabolic pathways, the best known of which are the bile pigments biliverdin and bilirubin. <i>Eulalia</i> is a marine Polychaeta characterized by its bright green coloration resulting from a remarkably wide range of greenish and yellowish tetrapyrroles, some of which have promising photodynamic properties. The present study combined metabolomics based on HPLC-DAD with RNA-seq transcriptomics to investigate the molecular pathways of porphyrinoid metabolism by comparing the worm’s proboscis and epidermis, which display distinct pigmentation patterns. The results showed that pigments are endogenous and seemingly heme-derived. The worm possesses homologs in both organs for genes encoding enzymes involved in heme metabolism such as ALAD, FECH, UROS, and PPOX. However, the findings also indicate that variants of the canonical enzymes of the heme biosynthesis pathway can be species- and organ-specific. These differences between molecular networks contribute to explain not only the differential pigmentation patterns between organs, but also the worm’s variety of novel endogenous tetrapyrrolic compounds. |
topic |
porphyrin metabolism photodynamic heme bile pigments Annelida bioinformatics |
url |
https://www.mdpi.com/1420-3049/26/13/3924 |
work_keys_str_mv |
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