Comparative transcriptome and gene co-expression network analysis identifies key candidate genes associated with resistance to summer mortality in the Pacific oyster (Crassostrea gigas)
Published in: | Aquaculture |
---|---|
Main Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Elsevier BV
2023
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1016/j.aquaculture.2023.739922 https://api.elsevier.com/content/article/PII:S0044848623006968?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0044848623006968?httpAccept=text/plain |
id |
crelsevierbv:10.1016/j.aquaculture.2023.739922 |
---|---|
record_format |
openpolar |
spelling |
crelsevierbv:10.1016/j.aquaculture.2023.739922 2024-05-19T07:39:13+00:00 Comparative transcriptome and gene co-expression network analysis identifies key candidate genes associated with resistance to summer mortality in the Pacific oyster (Crassostrea gigas) Chi, Yong Yang, Hang Shi, Chenyu Yang, Ben Bai, Xianchao Li, Qi 2023 http://dx.doi.org/10.1016/j.aquaculture.2023.739922 https://api.elsevier.com/content/article/PII:S0044848623006968?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0044848623006968?httpAccept=text/plain en eng Elsevier BV https://www.elsevier.com/tdm/userlicense/1.0/ https://doi.org/10.15223/policy-017 https://doi.org/10.15223/policy-037 https://doi.org/10.15223/policy-012 https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-004 Aquaculture volume 577, page 739922 ISSN 0044-8486 Aquatic Science journal-article 2023 crelsevierbv https://doi.org/10.1016/j.aquaculture.2023.739922 2024-04-19T07:05:56Z Article in Journal/Newspaper Crassostrea gigas Pacific oyster ScienceDirect (Elsevier) Aquaculture 577 739922 |
institution |
Open Polar |
collection |
ScienceDirect (Elsevier) |
op_collection_id |
crelsevierbv |
language |
English |
topic |
Aquatic Science |
spellingShingle |
Aquatic Science Chi, Yong Yang, Hang Shi, Chenyu Yang, Ben Bai, Xianchao Li, Qi Comparative transcriptome and gene co-expression network analysis identifies key candidate genes associated with resistance to summer mortality in the Pacific oyster (Crassostrea gigas) |
topic_facet |
Aquatic Science |
format |
Article in Journal/Newspaper |
author |
Chi, Yong Yang, Hang Shi, Chenyu Yang, Ben Bai, Xianchao Li, Qi |
author_facet |
Chi, Yong Yang, Hang Shi, Chenyu Yang, Ben Bai, Xianchao Li, Qi |
author_sort |
Chi, Yong |
title |
Comparative transcriptome and gene co-expression network analysis identifies key candidate genes associated with resistance to summer mortality in the Pacific oyster (Crassostrea gigas) |
title_short |
Comparative transcriptome and gene co-expression network analysis identifies key candidate genes associated with resistance to summer mortality in the Pacific oyster (Crassostrea gigas) |
title_full |
Comparative transcriptome and gene co-expression network analysis identifies key candidate genes associated with resistance to summer mortality in the Pacific oyster (Crassostrea gigas) |
title_fullStr |
Comparative transcriptome and gene co-expression network analysis identifies key candidate genes associated with resistance to summer mortality in the Pacific oyster (Crassostrea gigas) |
title_full_unstemmed |
Comparative transcriptome and gene co-expression network analysis identifies key candidate genes associated with resistance to summer mortality in the Pacific oyster (Crassostrea gigas) |
title_sort |
comparative transcriptome and gene co-expression network analysis identifies key candidate genes associated with resistance to summer mortality in the pacific oyster (crassostrea gigas) |
publisher |
Elsevier BV |
publishDate |
2023 |
url |
http://dx.doi.org/10.1016/j.aquaculture.2023.739922 https://api.elsevier.com/content/article/PII:S0044848623006968?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0044848623006968?httpAccept=text/plain |
genre |
Crassostrea gigas Pacific oyster |
genre_facet |
Crassostrea gigas Pacific oyster |
op_source |
Aquaculture volume 577, page 739922 ISSN 0044-8486 |
op_rights |
https://www.elsevier.com/tdm/userlicense/1.0/ https://doi.org/10.15223/policy-017 https://doi.org/10.15223/policy-037 https://doi.org/10.15223/policy-012 https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-004 |
op_doi |
https://doi.org/10.1016/j.aquaculture.2023.739922 |
container_title |
Aquaculture |
container_volume |
577 |
container_start_page |
739922 |
_version_ |
1799478752221069312 |