文献类型：期刊文献

英文题名：De novo sequencing and assembly analysis of transcriptome in Pinus bungeana Zucc. ex Endl.

作者：Cai, Qifei[1,2,3] Li, Bin[1,2,3] Lin, Furong[1,2,3] Huang, Ping[1,2,3] Guo, Wenying[1,2,3] Zheng, Yongqi[1,2,3]

第一作者：Cai, Qifei

通信作者：Zheng, Yongqi|[a0005ca4902075a643101]郑勇奇;

机构：[1] State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, 100091, China; [2] Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China; [3] Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Chinese Academy of Forestry, Beijing, 100091, China

年份：2018

卷号：9

期号：3

外文期刊名：Forests

收录：EI(收录号：20193107261505);Scopus(收录号：2-s2.0-85057822371)

语种：英文

外文关键词：Morphology - Transcription - Polymerase chain reaction - DNA sequences - Plants (botany)

摘要：To enrich the molecular data of Pinus bungeana Zucc. ex Endl. and study the regulating factors of different morphology controled by apical dominance. In this study, de novo assembly of transcriptome annotation was performed for two varieties of Pinus bungeana Zucc. ex Endl. that are obviously different inmorphology. More than 147million reads were produced, which were assembled into 88,092 unigenes. Based on a similarity search, 11,692 unigenes showed significant similarity to proteins fromPicea sitchensis (Bong.) Carr. From this collection of unigenes, a large number of molecular markers were identified, including 2829 simple sequence repeats (SSRs). A total of 158 unigenes expressed differently between two varieties, including 98 up-regulated and 60 down-regulated unigenes. Furthermore, among the differently expressed genes (DEGs), five genes which may impact the plant morphology were further validated by reverse transcription quantitative polymerase chain reaction (RT-qPCR). The five genes related to cytokinin oxidase/dehydrogenase (CKX), two-component response regulator ARR-A family (ARR-A), plant hormone signal transduction (AHP), andMADS-box transcription factors have a close relationship with apical dominance. This new dataset will be a useful resource for future genetic and genomic studies in Pinus bungeana Zucc. ex Endl. ? 2019 by the authors.