{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Yan J"],"funding":["Hunan Forestry Science and Technology Innovation Project","the State Key Program of National Natural Science Foundation of China","Changsha Natural Science Foundation","China Postdoctoral Science Foundation"],"pagination":["435"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9465947"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["22(1)"],"pubmed_abstract":["<h4>Background</h4>Camellia oleifera Abel. (C. oleifera) is an important traditional woody species in China that produces edible oil. However, the current literature lacks a proper understanding of C. oleifera's ability to adapt to different photoperiods.<h4>Results</h4>Our results indicate that the photoperiod can significantly impact flowering time in C. oleifera. We grew a total of nine samples under the short day condition (SD), middle day condition (MD) and long day condition (LD). Transcriptome analysis yielded 66.94 Gb of high-quality clean reads, with an average of over 6.73 Gb of reads for per sample. Following assembly, a total of 120,080 transcripts were obtained and 94,979 unigenes annotated. A total of 3475 differentially expressed genes (DEGs) were identified between the SD_M"],"journal":["BMC plant biology"],"pubmed_title":["Analysis of Camellia oleifera transcriptome reveals key pathways and hub genes involved during different photoperiods."],"pmcid":["PMC9465947"],"funding_grant_id":["31730016","XLK202101-2","2021M703653","kq2202281"],"pubmed_authors":["Yan J","Li J","Tan X","He J","Wang Y","Ren S","Zhou J"],"additional_accession":[]},"is_claimable":false,"name":"Analysis of Camellia oleifera transcriptome reveals key pathways and hub genes involved during different photoperiods.","description":"<h4>Background</h4>Camellia oleifera Abel. (C. oleifera) is an important traditional woody species in China that produces edible oil. However, the current literature lacks a proper understanding of C. oleifera's ability to adapt to different photoperiods.<h4>Results</h4>Our results indicate that the photoperiod can significantly impact flowering time in C. oleifera. We grew a total of nine samples under the short day condition (SD), middle day condition (MD) and long day condition (LD). Transcriptome analysis yielded 66.94 Gb of high-quality clean reads, with an average of over 6.73 Gb of reads for per sample. Following assembly, a total of 120,080 transcripts were obtained and 94,979 unigenes annotated. A total of 3475 differentially expressed genes (DEGs) were identified between the SD_M","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Sep","modification":"2025-04-19T20:35:29.686Z","creation":"2025-04-19T20:35:29.686Z"},"accession":"S-EPMC9465947","cross_references":{"pubmed":["36089577"],"doi":["10.1186/s12870-022-03798-0"]}}