Transcriptomic Analysis of Dark-Induced Senescence in Bermudagrass (Cynodon dactylon)
1
College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
2
CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China
3
Center of Economic Botany, Core Botanical Gardens, Chinese Academy of Sciences, Wuhan 430074, China
4
National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer Resources, College of Resources and Environment, Shandong Agricultural University, Daizong Road, Tai’an 271018, China
5
College of Horticulture, Agricultural University of Hebei, Baoding 071001, China
*
Authors to whom correspondence should be addressed.
Plants 2019, 8(12), 614; https://doi.org/10.3390/plants8120614
Received: 9 November 2019
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Revised: 11 December 2019
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Accepted: 12 December 2019
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Published: 17 December 2019
(This article belongs to the Special Issue Leaf Senescence)
Leaf senescence induced by prolonged light deficiency is inevitable whenever turfgrass is cultivated in forests, and this negatively influences the survival and aesthetic quality of the turfgrass. However, the mechanism underlying dark-induced senescence in turfgrass remained obscure. In this study, RNA sequencing was performed to analyze how genes were regulated in response to dark-induced leaf senescence in bermudagrass. A total of 159,207 unigenes were obtained with a mean length of 948 bp. The differential expression analysis showed that a total of 59,062 genes, including 52,382 up-regulated genes and 6680 down-regulated genes were found to be differentially expressed between control leaves and senescent leaves induced by darkness. Subsequent bioinformatics analysis showed that these differentially expressed genes (DEGs) were mainly related to plant hormone (ethylene, abscisic acid, jasmonic acid, auxin, cytokinin, gibberellin, and brassinosteroid) signal transduction, N-glycan biosynthesis, and protein processing in the endoplasmic reticulum. In addition, transcription factors, such as WRKY, NAC, HSF, and bHLH families were also responsive to dark-induced leaf senescence in bermudagrass. Finally, qRT-PCR analysis of six randomly selected DEGs validated the accuracy of sequencing results. Taken together, our results provide basic information of how genes respond to darkness, and contribute to the understanding of comprehensive mechanisms of dark-induced leaf senescence in turfgrass.
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Keywords:
transcriptome; senescence; darkness; bermudagrass
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MDPI and ACS Style
Fan, J.; Lou, Y.; Shi, H.; Chen, L.; Cao, L. Transcriptomic Analysis of Dark-Induced Senescence in Bermudagrass (Cynodon dactylon). Plants 2019, 8, 614. https://doi.org/10.3390/plants8120614
AMA Style
Fan J, Lou Y, Shi H, Chen L, Cao L. Transcriptomic Analysis of Dark-Induced Senescence in Bermudagrass (Cynodon dactylon). Plants. 2019; 8(12):614. https://doi.org/10.3390/plants8120614
Chicago/Turabian StyleFan, Jibiao, Yanhong Lou, Haiyan Shi, Liang Chen, and Liwen Cao. 2019. "Transcriptomic Analysis of Dark-Induced Senescence in Bermudagrass (Cynodon dactylon)" Plants 8, no. 12: 614. https://doi.org/10.3390/plants8120614
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