Fish Genomics and Developmental Biology
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Biology".
Deadline for manuscript submissions: closed (15 May 2024) | Viewed by 12224
Special Issue Editors
Interests: epigenetics; development; teleost; regulation; sncRNA; lncRNA; methylation; histone modification
Special Issues, Collections and Topics in MDPI journals
Interests: genomics; development; teleost; aquaculture; transcriptomics; gene expression; environment; genomes; comparative genomics; population genomics; selective breeding; biomarker
Special Issue Information
Dear Colleagues,
Genomics has had a fast scientific, social, and economic impact and is along with the rapidly advancing technologies in the spotlight of many diverse research fields. Even though the -omics area is a comparatively young branch of science, the implementation of -omics data has become a common lab practice. One of the major milestones has certainly been the invention of next-generation sequencing technologies which enabled the fast with a relatively low-cost assessment and comparison of transcriptomes and genomes. Nevertheless, the generation of large datasets also involves the challenges of accurate data processing, storage, analysis, and most importantly interpretation.
The interest in teleosts species and the model fish zebrafish (Danio rerio) in particular, first arose due to its suitability to study human-related research topics as well as to investigate early development at the molecular level. The interest in non-model teleost studies is mainly due to their economic importance in fisheries and aquaculture. Today the genomes and transcriptomes of numerous teleosts have been sequenced and are stored in publicly accessible databases. These achievements have paved the way to investigate more cross-species gene function and regulation, and to better understand the molecular bases of important mechanisms in fish biology.
The objective of the present Special Issue is to highlight the most recent genomic advances in fish biology with an emphasis on development since numerous events and parameters have to be in congruence during embryonic and larval development to ensure well-being and health at later life stages.
Dr. Elena Sarropoulou
Prof. Dr. Jorge Fernandes
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Molecular Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. There is an Article Processing Charge (APC) for publication in this open access journal. For details about the APC please see here. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- genomics
- development
- teleost
- aquaculture
- transcriptomics
- gene expression
- environment
- genomes
- comparative genomics
- population genomics
- selective breeding
- biomarker