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Transcriptome profiling revealed diverse gene expression patterns in poplar (Populus x euramericana) under different planting densities  ( SCI-EXPANDED收录)   被引量:8

文献类型:期刊文献

英文题名:Transcriptome profiling revealed diverse gene expression patterns in poplar (Populus x euramericana) under different planting densities

作者:Ning, Kun[1,2] Ding, Changjun[1,2] Huang, Qinjun[1,2] Zhang, Weixi[1,2] Yang, Chengchao[3] Liang, Dejun[3] Fan, Ruting[4] Su, Xiaohua[1,2,5]

第一作者:Ning, Kun

通信作者:Su, XH[1];Su, XH[2];Su, XH[3]

机构:[1]Chinese Acad Forestry, Res Inst Forestry, State Key Lab Tree Genet & Breeding, Beijing, Peoples R China;[2]State Forestry & Grassland Adm, Key Lab Tree Breeding & Cultivat, Beijing, Peoples R China;[3]Liaoning Prov Inst Poplar, Gaizhou, Liaoning, Peoples R China;[4]Annoroad Gene Technol Co Ltd, Beijing, Peoples R China;[5]Nanjing Forestry Univ, Coinnovat Ctr Sustainable Forestry Southern China, Nanjing, Jiangsu, Peoples R China

年份:2019

卷号:14

期号:5

外文期刊名:PLOS ONE

收录:;WOS:【SCI-EXPANDED(收录号:WOS:000469323000038)】;

基金:This work was supported by the National Key Research and Development program of China [Grant No. 2016YFD0600401 to XS]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

语种:英文

摘要:Certain plant genotypes can achieve optimal growth under appropriate environmental conditions. Under high planting density conditions, plants undergo competition for uptake and utilization of light and nutrients. However, the relationship between whole-genome expression patterns and the planting density in perennial woody plants remains unknown. In this study, whole-genome RNA sequencing of poplar (Populus x euramericana) was carried out at three different sampling heights to determine gene expression patterns under high (HD) and low (LD) planting densities. As a result, 4,004 differentially expressed genes (DEGs) were detected between HD and LD, of which 2,300, 701, and 1,003 were detected at the three positions, upper, middle and bottom, respectively. Function annotation results further revealed that a large number of the DEGs were involved in distinct biological functions. There were significant changes in the expression of metabolism-related and stimulusrelated genes in response to planting density. There were 37 DEGs that were found at all three positions and were subsequently screened. Several DEGs related to plant light responses and photosynthesis were observed at different positions. Meanwhile, numbers of genes related to auxin/indole-3-acetic acid, and carbon and nitrogen metabolism were also revealed, displaying overall trends of upregulation under HD. These findings provide a basis for identifying candidate genes related to planting density and could increase our molecular understanding of the effect of planting density on gene expression.

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