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Transcriptome analysis of Populus × canadensis 'Zhongliao1' in response to low temperature stress.

Chengchao Yang | Xiaoyu Li | Yan Zhang | Hua Jin
BMC genomics | 2023

Low temperatures are known to limit the growth and geographical distribution of poplars. Although some transcriptomic studies have been conducted to explore the response of poplar leaves to cold stress, only a few have comprehensively analyzed the effects of low temperature on the transcriptome of poplars and identified genes related to cold stress response and repair of freeze-thaw injury.

Pubmed ID: 36803355

Research resources used in this publication

None found

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Associated grants

  • Agency: The Dean's Founds for Liaoning Academy of Agricultural Sciences,
    Id: 2020MS0504
  • Agency: The Dean's Founds for Liaoning Academy of Agricultural Sciences,
    Id: 2020MS0504
  • Agency: The Dean's Founds for Liaoning Academy of Agricultural Sciences,
    Id: 2020MS0504
  • Agency: the Liaoning Provincial Key Research Project for Agriculture,
    Id: 2015103002
  • Agency: the Liaoning Provincial Key Research Project for Agriculture,
    Id: 2015103002
  • Agency: the Liaoning Provincial Key Research Project for Agriculture,
    Id: 2015103002

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Gene Ontology (tool)

RRID:SCR_002811

Computable knowledge regarding functions of genes and gene products. GO resources include biomedical ontologies that cover molecular domains of all life forms as well as extensive compilations of gene product annotations to these ontologies that provide largely species-neutral, comprehensive statements about what gene products do. Used to standardize representation of gene and gene product attributes across species and databases.

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KEGG (tool)

RRID:SCR_012773

Integrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies.

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