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Unknown to Known: Advancing Knowledge of Coral Gene Function.
Cleves, Phillip A; Shumaker, Alexander; Lee, JunMo; Putnam, Hollie M; Bhattacharya, Debashish.
Afiliação
  • Cleves PA; Department of Genetics, Stanford University, Stanford, CA 94305, USA.
  • Shumaker A; Microbial Biology Graduate Program, Rutgers University, New Brunswick, NJ 08901, USA.
  • Lee J; Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, NJ 08901, USA; Current address: Department of Oceanography, Kyungpook National University, Daegu 41566, Korea.
  • Putnam HM; Department of Biological Sciences, University of Rhode Island, Kingston, RI 02881, USA.
  • Bhattacharya D; Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, NJ 08901, USA. Electronic address: d.bhattacharya@rutgers.edu.
Trends Genet ; 36(2): 93-104, 2020 02.
Article em En | MEDLINE | ID: mdl-31882190
ABSTRACT
Given the catastrophic changes befalling coral reefs, understanding coral gene function is essential to advance reef conservation. This has proved challenging due to the paucity of genomic data and genetic tools available for corals. Recently, CRISPR/Cas9 gene editing was applied to these species; however, a major bottleneck is the identification and prioritization of candidate genes for manipulation. This issue is exacerbated by the many unknown ('dark') coral genes that may play key roles in the stress response. We review the use of gene coexpression networks that incorporate both known and unknown genes to identify targets for reverse genetic analysis. This approach also provides a framework for the annotation of dark genes in established interaction networks to improve our fundamental knowledge of coral gene function.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genoma / Genômica / Antozoários Limite: Animals Idioma: En Revista: Trends Genet Assunto da revista: GENETICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genoma / Genômica / Antozoários Limite: Animals Idioma: En Revista: Trends Genet Assunto da revista: GENETICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos