TY - JOUR
T1 - Transcriptome and small RNA analysis unveils novel insights into the C4 gene regulation in sugarcane
AU - Hua, Xiuting
AU - Li, Zhen
AU - Dou, Meijie
AU - Zhang, Yanqing
AU - Zhao, Dongxu
AU - Shi, Huihong
AU - Li, Yihan
AU - Li, Shuangyu
AU - Huang, Yumin
AU - Qi, Yiying
AU - Wang, Baiyu
AU - Wang, Qiyun
AU - Wang, Qiaoyu
AU - Gao, Ruiting
AU - Ming, Ray
AU - Tang, Haibao
AU - Yao, Wei
AU - Zhang, Muqing
AU - Zhang, Jisen
N1 - We thank the support of the National Key Research and Development program (2021YFF1000101 and 2021YFF1000104), the National Natural Science Foundation of China (32272196), the Sugarcane Research Foundation of Guangxi University (Grant No.2022GZB007), and the fellowship of China Postdoctoral Science Foundation (2022MD723761). We also thank Chengjie Chen and Guanliang Li at the South China Agricultural University for their useful advice and excellent technical assistance.
PY - 2024/5
Y1 - 2024/5
N2 - Main Conclusion: This study reveals miRNA indirect regulation of C4 genes in sugarcane through transcription factors, highlighting potential key regulators like SsHAM3a. Abstract: C4 photosynthesis is crucial for the high productivity and biomass of sugarcane, however, the miRNA regulation of C4 genes in sugarcane remains elusive. We have identified 384 miRNAs along the leaf gradients, including 293 known miRNAs and 91 novel miRNAs. Among these, 86 unique miRNAs exhibited differential expression patterns, and we identified 3511 potential expressed targets of these differentially expressed miRNAs (DEmiRNAs). Analyses using Pearson correlation coefficient (PCC) and Gene Ontology (GO) enrichment revealed that targets of miRNAs with positive correlations are integral to chlorophyll-related photosynthetic processes. In contrast, negatively correlated pairs are primarily associated with metabolic functions. It is worth noting that no C4 genes were predicted as targets of DEmiRNAs. Our application of weighted gene co-expression network analysis (WGCNA) led to a gene regulatory network (GRN) suggesting miRNAs might indirectly regulate C4 genes via transcription factors (TFs). The GRAS TF SsHAM3a emerged as a potential regulator of C4 genes, targeted by miR171y and miR171am, and exhibiting a negative correlation with miRNA expression along the leaf gradient. This study sheds light on the complex involvement of miRNAs in regulating C4 genes, offering a foundation for future research into enhancing sugarcane's photosynthetic efficiency.
AB - Main Conclusion: This study reveals miRNA indirect regulation of C4 genes in sugarcane through transcription factors, highlighting potential key regulators like SsHAM3a. Abstract: C4 photosynthesis is crucial for the high productivity and biomass of sugarcane, however, the miRNA regulation of C4 genes in sugarcane remains elusive. We have identified 384 miRNAs along the leaf gradients, including 293 known miRNAs and 91 novel miRNAs. Among these, 86 unique miRNAs exhibited differential expression patterns, and we identified 3511 potential expressed targets of these differentially expressed miRNAs (DEmiRNAs). Analyses using Pearson correlation coefficient (PCC) and Gene Ontology (GO) enrichment revealed that targets of miRNAs with positive correlations are integral to chlorophyll-related photosynthetic processes. In contrast, negatively correlated pairs are primarily associated with metabolic functions. It is worth noting that no C4 genes were predicted as targets of DEmiRNAs. Our application of weighted gene co-expression network analysis (WGCNA) led to a gene regulatory network (GRN) suggesting miRNAs might indirectly regulate C4 genes via transcription factors (TFs). The GRAS TF SsHAM3a emerged as a potential regulator of C4 genes, targeted by miR171y and miR171am, and exhibiting a negative correlation with miRNA expression along the leaf gradient. This study sheds light on the complex involvement of miRNAs in regulating C4 genes, offering a foundation for future research into enhancing sugarcane's photosynthetic efficiency.
KW - C photosynthesis
KW - Gene regulatory network
KW - Leaf gradient
KW - MiRNA
KW - Weighted gene co-expression network analysis
UR - http://www.scopus.com/inward/record.url?scp=85190287758&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85190287758&partnerID=8YFLogxK
U2 - 10.1007/s00425-024-04390-6
DO - 10.1007/s00425-024-04390-6
M3 - Article
C2 - 38607398
AN - SCOPUS:85190287758
SN - 0032-0935
VL - 259
JO - Planta
JF - Planta
IS - 5
M1 - 120
ER -