文献类型：期刊文献

英文题名：Transcriptomic analysis revealed the mechanism of oil dynamic accumulation during developing Siberian apricot (Prunus sibirica L.) seed kernels for the development of woody biodiesel

作者：Niu, Jun[1] An, Jiyong[1] Wang, Libing[2] Fang, Chengliang[3] Ha, Denglong[3] Fu, Chengyu[4] Qiu, Lin[3] Yu, Haiyan[2] Zhao, Haiyan[3] Hou, Xinyu[1] Xiang, Zheng[1] Zhou, Sufan[1] Zhang, Zhixiang[1] Feng, Xinyi[1] Lin, Shanzhi[1]

第一作者：Niu, Jun

通信作者：Lin, SZ[1]

机构：[1]Beijing Forestry Univ, Coll Nat Conservat, Coll Biol Sci & Biotechnol,Minist Educ, Natl Engn Lab Tree Breeding,Key Lab Genet & Breed, Beijing 10083, Peoples R China;[2]Chinese Acad Forestry, Res Inst Forestry, Beijing 10091, Peoples R China;[3]Jigongshan Natl Nat Reserve, Xingyang 464133, Peoples R China;[4]Liaocheng Food & Drug Adm, Liaocheng 252000, Shandong, Peoples R China

年份：2015

卷号：8

期号：1

外文期刊名：BIOTECHNOLOGY FOR BIOFUELS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000352055100001)】；

基金：This research was supported by the National Natural Sciences Foundation of China (No. J1103516), and the Central Public-Interest Scientific Institution Basal Research Fund (RIF2013-02) (No. 201004001).

语种：英文

外文关键词：Siberian apricot; Woody biodiesel; Transcriptome sequencing; Differential expression; Oil accumulation mechanism

摘要：Background: Siberian apricot (Prunus sibirica L.) has emerged as a novel potential source of biodiesel in China, but the molecular regulatory mechanism of oil accumulation in Siberian apricot seed kernels (SASK) is still unknown at present. To better develop SASK oil as woody biodiesel, it is essential to profile transcriptome and to identify the full repertoire of potential unigenes involved in the formation and accumulation of oil SASK during the different developing stages. Results: We firstly detected the temporal patterns for oil content and fatty acid (FA) compositions of SASK in 7 different developing stages. The best time for obtaining the high quality and quantity of SASK oil was characterized at 60 days after flowering (DAF), and the representative periods (10, 30, 50, 60, and 70 DAF) were selected for transcriptomic analysis. By Illumina/Solexa sequencings, approximately 65 million short reads (average length = 96 bp) were obtained, and then assembled into 124,070 unigenes by Trinity strategy (mean size = 829.62 bp). A total of 3,000, 2,781, 2,620, and 2,675 differentially expressed unigenes were identified at 30, 50, 60, and 70 DAF (10 DAF as the control) by DESeq method, respectively. The relationship between the unigene transcriptional profiles and the oil dynamic patterns in developing SASK was comparatively analyzed, and the specific unigenes encoding some known enzymes and transcription factors involved in acetyl-coenzyme A (acetyl-CoA) formation and oil accumulation were determined. Additionally, 5 key metabolic genes implicated in SASK oil accumulation were experimentally validated by quantitative real-time PCR (qRT-PCR). Our findings could help to construction of oil accumulated pathway and to elucidate the molecular regulatory mechanism of increased oil production in developing SASK. Conclusions: This is the first study of oil temporal patterns, transcriptome sequencings, and differential profiles in developing SASK. All our results will serve as the important foundation to further deeply explore the regulatory mechanism of SASK high-quality oil accumulation, and may also provide some reference for researching the woody biodiesel plants.