biostudies-literatureYan JHunan Forestry Science and Technology Innovation Projectthe State Key Program of National Natural Science Foundation of ChinaChangsha Natural Science FoundationChina Postdoctoral Science Foundation435https://www.ebi.ac.uk/biostudies/studies/S-EPMC9465947biostudies-literatureUnknown22(1)<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_MBMC plant biologyAnalysis of Camellia oleifera transcriptome reveals key pathways and hub genes involved during different photoperiods.PMC946594731730016XLK202101-22021M703653kq2202281Yan JLi JTan XHe JWang YRen SZhou JfalseAnalysis of Camellia oleifera transcriptome reveals key pathways and hub genes involved during different photoperiods.<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_M2022-01-01T00:00:00Z2022 Sep2025-04-19T20:35:29.686Z2025-04-19T20:35:29.686ZS-EPMC94659473608957710.1186/s12870-022-03798-0