Table S6.xlsx from Transcriptome analysis and mining of genes related to shade tolerance in foxtail millet (Setaria italica (L.) P. Beauv.)
Year: 2022
Type: dataset
Abstract: A stereo interplanting system with foxtail millet beneath chestnut trees is an effective planting method to raise the utilization of land in chestnut orchards, increase yields and improve quality of chestnut nuts. Consequently, exploration of genes involved in shade tolerance response in foxtail millet and breeding shade-tolerant varieties have become urgent issues. In this study, RNA-seq of leaf samples from two shade-tolerant varieties and three shade-intolerant varieties of foxtail millet at the booting stage was performed. Comparisons between the varieties revealed that 70 genes were commonly differentially expressed. Moreover, the ratio of net photosynthetic rate under shaded environment to that under light environment could be used as an indicator of shade tolerance. Subsequently, weighted gene co-expression network analysis was employed to construct a co-expression network and modules were correlated with this ratio. A total of 375 genes were identified as potentially relevant to shade tolerance, among which nine genes were also present in the 70 differentially expressed genes, which implied that they were good candidates for genes involved in shade tolerance. Our results provide valuable resources for elucidation of the molecular mechanisms underlying shade tolerance and will contribute to breeding of shade-tolerant foxtail millet that are adapted to the shaded environment under chestnut trees.
Source: Figshare
Institutions: Tangshan Normal University, South China Agricultural University, Ningbo University, Tongji University, Beijing Tongren Hospital, Fujian Medical University, Shanghai Medical College of Fudan University, Nanchang University, University of Electronic Science and Technology of China, National Institute for Parasitic Diseases, Sun Yat-sen University, Chongqing University, Jinan University, Tianjin University, Gansu Agricultural University, Hangzhou Normal University, Tianjin Chengjian University, Zunyi Medical University, Jilin University, Wuhan University of Technology, Anhui Medical University, Chinese Academy of Sciences, University of California, Irvine, Fudan University, University of California San Diego, Soochow University, Lanzhou Veterinary Research Institute, Fudan University Shanghai Cancer Center, Sixth Affiliated Hospital of Sun Yat-sen University, Xuan Wu Hospital of the Capital Medical University, National Vaccine and Serum Institute, Second Affiliated Hospital of Nanchang University, Shanghai Institute of Organic Chemistry, Zhongnan Hospital of Wuhan University, First Affiliated Hospital of Xi'an Jiaotong University, Lanzhou University Second Hospital, Second Affiliated Hospital of Xi'an Jiaotong University, Research Institute of Forestry, China National Center for Food Safety Risk Assessment, State Forestry and Grassland Administration, Shanghai University of Medicine and Health Sciences, First Affiliated Hospital of Anhui Medical University, Third Affiliated Hospital of Sun Yat-sen University, Beijing YouAn Hospital, Wuhan YZY Biopharma (China), Ministry of Agriculture and Rural Affairs, University of Chinese Academy of Sciences, Anhui Normal University, The Ohio State University, Chengdu University of Traditional Chinese Medicine, Shandong University of Finance and Economics, Fujian Agriculture and Forestry University, Zhejiang University, Lanzhou University, Southeast University, Beihang University, Shanxi Normal University, Air Force Medical University
Language: English
Topic: Light effects on plants
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: green
OpenAlex ID: W4394078747