Genome survey and characterization of reproduction-related genes in the Pacific oyster ...

Reproductive mechanisms in molluscs have been targets for biological research because of the diverse reproductive strategies exhibited in this phylum. However, little is known about the molecular mechanisms of molluscan reproduction. The whole genome sequence of the Pacific oyster Crassostrea gigas...

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Bibliographic Details
Main Authors: Song, Shanshan, Yu, Hong, Li, Qi
Format: Dataset
Language:unknown
Published: Taylor & Francis 2017
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.4873430
https://tandf.figshare.com/articles/dataset/Genome_survey_and_characterization_of_reproduction-related_genes_in_the_Pacific_oyster/4873430
id ftdatacite:10.6084/m9.figshare.4873430
record_format openpolar
spelling ftdatacite:10.6084/m9.figshare.4873430 2024-04-28T08:16:37+00:00 Genome survey and characterization of reproduction-related genes in the Pacific oyster ... Song, Shanshan Yu, Hong Li, Qi 2017 https://dx.doi.org/10.6084/m9.figshare.4873430 https://tandf.figshare.com/articles/dataset/Genome_survey_and_characterization_of_reproduction-related_genes_in_the_Pacific_oyster/4873430 unknown Taylor & Francis https://dx.doi.org/10.1080/07924259.2017.1287780 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Genetics FOS Biological sciences Molecular Biology Physiology Evolutionary Biology Biological Sciences not elsewhere classified Marine Biology Inorganic Chemistry FOS Chemical sciences Infectious Diseases FOS Health sciences dataset Dataset 2017 ftdatacite https://doi.org/10.6084/m9.figshare.487343010.1080/07924259.2017.1287780 2024-04-02T12:15:27Z Reproductive mechanisms in molluscs have been targets for biological research because of the diverse reproductive strategies exhibited in this phylum. However, little is known about the molecular mechanisms of molluscan reproduction. The whole genome sequence of the Pacific oyster Crassostrea gigas together with the transcriptomic data-sets provides a powerful platform for studies on the characterization of the genes involved in bivalve reproduction. Reproduction-related genes were screened in this study through analyzing the Pacific oyster genome. Previously identified molluscan reproduction-related genes were used as queries to a BLASTP search against the C. gigas genome to identify gene candidates encoding similar proteins. Transcriptomic data-sets were analyzed to profile gene candidate expression patterns. We obtained 39 gene candidates with high accuracy encoding reproduction-related genes in the C. gigas genome, of which 17 are reported in detail, and the rest are identified as new candidate genes ... Dataset Crassostrea gigas Pacific oyster DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Genetics
FOS Biological sciences
Molecular Biology
Physiology
Evolutionary Biology
Biological Sciences not elsewhere classified
Marine Biology
Inorganic Chemistry
FOS Chemical sciences
Infectious Diseases
FOS Health sciences
spellingShingle Genetics
FOS Biological sciences
Molecular Biology
Physiology
Evolutionary Biology
Biological Sciences not elsewhere classified
Marine Biology
Inorganic Chemistry
FOS Chemical sciences
Infectious Diseases
FOS Health sciences
Song, Shanshan
Yu, Hong
Li, Qi
Genome survey and characterization of reproduction-related genes in the Pacific oyster ...
topic_facet Genetics
FOS Biological sciences
Molecular Biology
Physiology
Evolutionary Biology
Biological Sciences not elsewhere classified
Marine Biology
Inorganic Chemistry
FOS Chemical sciences
Infectious Diseases
FOS Health sciences
description Reproductive mechanisms in molluscs have been targets for biological research because of the diverse reproductive strategies exhibited in this phylum. However, little is known about the molecular mechanisms of molluscan reproduction. The whole genome sequence of the Pacific oyster Crassostrea gigas together with the transcriptomic data-sets provides a powerful platform for studies on the characterization of the genes involved in bivalve reproduction. Reproduction-related genes were screened in this study through analyzing the Pacific oyster genome. Previously identified molluscan reproduction-related genes were used as queries to a BLASTP search against the C. gigas genome to identify gene candidates encoding similar proteins. Transcriptomic data-sets were analyzed to profile gene candidate expression patterns. We obtained 39 gene candidates with high accuracy encoding reproduction-related genes in the C. gigas genome, of which 17 are reported in detail, and the rest are identified as new candidate genes ...
format Dataset
author Song, Shanshan
Yu, Hong
Li, Qi
author_facet Song, Shanshan
Yu, Hong
Li, Qi
author_sort Song, Shanshan
title Genome survey and characterization of reproduction-related genes in the Pacific oyster ...
title_short Genome survey and characterization of reproduction-related genes in the Pacific oyster ...
title_full Genome survey and characterization of reproduction-related genes in the Pacific oyster ...
title_fullStr Genome survey and characterization of reproduction-related genes in the Pacific oyster ...
title_full_unstemmed Genome survey and characterization of reproduction-related genes in the Pacific oyster ...
title_sort genome survey and characterization of reproduction-related genes in the pacific oyster ...
publisher Taylor & Francis
publishDate 2017
url https://dx.doi.org/10.6084/m9.figshare.4873430
https://tandf.figshare.com/articles/dataset/Genome_survey_and_characterization_of_reproduction-related_genes_in_the_Pacific_oyster/4873430
genre Crassostrea gigas
Pacific oyster
genre_facet Crassostrea gigas
Pacific oyster
op_relation https://dx.doi.org/10.1080/07924259.2017.1287780
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.6084/m9.figshare.487343010.1080/07924259.2017.1287780
_version_ 1797581673382019072