Unveiling putative modulators of mutable collagenous tissue in the brittle star Ophiomastix wendtii: an RNA-Seq analysis.

Echinoderm Gene annotation High-throughput sequencing Histology Mutable collagenous tissue

Journal

BMC genomics
ISSN: 1471-2164
Titre abrégé: BMC Genomics
Pays: England
ID NLM: 100965258

Informations de publication

Date de publication:
29 Oct 2024
Historique:
received: 25 06 2024
accepted: 21 10 2024
medline: 30 10 2024
pubmed: 30 10 2024
entrez: 30 10 2024
Statut: epublish

Résumé

Collagenous connective tissue, found throughout the bodies of metazoans, plays a crucial role in maintaining structural integrity. This versatile tissue has the potential for numerous biomedical applications, including the development of innovative collagen-based biomaterials. Inspiration for such advancements can be drawn from echinoderms, a group of marine invertebrates that includes sea stars, sea cucumbers, brittle stars, sea urchins, and sea lilies. Through their nervous system, these organisms can reversibly control the pliability of their connective tissue components (i.e., tendons and ligaments) that are composed of mutable collagenous tissue (MCT). The variable tensile properties of the MCT allow echinoderms to perform unique functions, including postural maintenance, reduction of muscular energy use, autotomy to avoid predators, and asexual reproduction through fission. The changes in the tensile strength of MCT structures are specifically controlled by specialized neurosecretory cells called juxtaligamental cells. These cells release substances that either soften or stiffen the MCT. So far, only a few of these substances have been purified and characterized, and the genetic underpinning of MCT biology remains unknown. Therefore, we have conducted this research to identify MCT-related genes in echinoderms as a first step towards a better understanding of the MCT molecular control mechanisms. Our ultimate goal is to unlock new biomaterial applications based on this knowledge. In this project, we used RNA-Seq to identify and annotate differentially expressed genes in the MCT structures of the brittle star Ophiomastix wendtii. As a result, we present a list of 16 putative MCT modulator genes, which will be validated and characterized in forthcoming functional analyses.

Identifiants

pubmed: 39472826
doi: 10.1186/s12864-024-10926-7
pii: 10.1186/s12864-024-10926-7
doi:

Substances chimiques

Collagen 9007-34-5

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1013

Informations de copyright

© 2024. The Author(s).

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Auteurs

Reyhaneh Nouri (R)

Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9331 Robert D. Snyder Rd., Charlotte, 28223, NC, USA.
Computational Intelligence to Predict Health and Environmental Risks (CIPHER) Research Center, University of North Carolina at Charlotte, 9331 Robert D. Snyder Rd., Charlotte, 28223, NC, USA.

Vladimir Mashanov (V)

Wake Forest Institute for Regenerative Medicine, 391 Technology Way, Winston-Salem, 27101, NC, USA.

April Harris (A)

Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9331 Robert D. Snyder Rd., Charlotte, 28223, NC, USA.

Gari New (G)

Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9331 Robert D. Snyder Rd., Charlotte, 28223, NC, USA.

William Taylor (W)

Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9331 Robert D. Snyder Rd., Charlotte, 28223, NC, USA.

Daniel Janies (D)

Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9331 Robert D. Snyder Rd., Charlotte, 28223, NC, USA.
Computational Intelligence to Predict Health and Environmental Risks (CIPHER) Research Center, University of North Carolina at Charlotte, 9331 Robert D. Snyder Rd., Charlotte, 28223, NC, USA.

Robert W Reid (RW)

Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9331 Robert D. Snyder Rd., Charlotte, 28223, NC, USA.

Denis Jacob Machado (D)

Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9331 Robert D. Snyder Rd., Charlotte, 28223, NC, USA. dmachado@charlotte.edu.
Computational Intelligence to Predict Health and Environmental Risks (CIPHER) Research Center, University of North Carolina at Charlotte, 9331 Robert D. Snyder Rd., Charlotte, 28223, NC, USA. dmachado@charlotte.edu.

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