Transcriptional regulatory networks controlling taste and aroma quality of apricot (Prunus armeniaca L.) fruit during ripening

成熟 生物 芳香 风味 基因 生物化学 食品科学 植物 栽培
作者
Qiuyun Zhang,Chao Feng,Wenhui Li,Zehui Qu,Ming Zeng,Wanpeng Xi
出处
期刊:BMC Genomics [Springer Nature]
卷期号:20 (1) 被引量:54
标识
DOI:10.1186/s12864-019-5424-8
摘要

Taste and aroma, which are important organoleptic qualities of apricot (Prunus armeniaca L.) fruit, undergo rapid and substantial changes during ripening. However, the associated molecular mechanisms remain unclear. The goal of this study was to identify candidate genes for flavor compound metabolism and to construct a regulatory transcriptional network. We characterized the transcriptome of the ‘Jianali’ apricot cultivar, which exhibits substantial changes in flavor during ripening, at 50 (turning), 73 (commercial maturation) and 91 (full ripe) days post anthesis (DPA) using RNA sequencing (RNA-Seq). A weighted gene co-expression network analysis (WGCNA) revealed that four of 19 modules correlated highly with flavor compound metabolism (P < 0.001). From them, we identified 1237 differentially expressed genes, with 16 intramodular hubs. A proposed pathway model for flavor compound biosynthesis is presented based on these genes. Two SUS1 genes, as well as SPS2 and INV1 were correlated with sugar biosynthesis, while NADP-ME4, two PK-like and mitochondrial energy metabolism exerted a noticeable effect on organic acid metabolism. CCD1 and FAD2 were identified as being involved in apocarotenoid aroma volatiles and lactone biosynthesis, respectively. Five sugar transporters (Sweet10, STP13, EDR6, STP5.1, STP5.2), one aluminum-activated malate transporter (ALMT9) and one ABCG transporter (ABCG11) were associated with the transport of sugars, organic acids and volatiles, respectively. Sixteen transcription factors were also highlighted that may also play regulatory roles in flavor quality development. Apricot RNA-Seq data were obtained and used to generate an annotated set of predicted expressed genes, providing a platform for functional genomic research. Using network analysis and pathway mapping, putative molecular mechanisms for changes in apricot fruit taste and aroma during ripening were elucidated.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
思源应助nan采纳,获得10
刚刚
Snoopy发布了新的文献求助10
刚刚
Lucas应助vivian26采纳,获得10
刚刚
萌二完成签到,获得积分20
4秒前
5秒前
cyh驳回了关七应助
5秒前
5秒前
5秒前
8秒前
向天歌完成签到,获得积分10
10秒前
吉乐园发布了新的文献求助10
10秒前
烟花应助tt采纳,获得10
11秒前
美好乐松应助刻苦棒球采纳,获得10
11秒前
小嘎发布了新的文献求助10
12秒前
15秒前
kuiuLinvk完成签到,获得积分10
16秒前
HYJ发布了新的文献求助10
18秒前
18秒前
情怀应助wschenau采纳,获得10
18秒前
NexusExplorer应助科研通管家采纳,获得10
18秒前
田様应助科研通管家采纳,获得10
18秒前
元谷雪应助科研通管家采纳,获得10
19秒前
19秒前
CodeCraft应助科研通管家采纳,获得10
19秒前
wuli发布了新的文献求助30
19秒前
19秒前
20秒前
21秒前
21秒前
诚心的焱发布了新的文献求助30
23秒前
bkagyin应助善良的小白菜采纳,获得10
23秒前
24秒前
老子发布了新的文献求助10
24秒前
25秒前
vivian26发布了新的文献求助10
25秒前
酷波er应助敏子采纳,获得10
27秒前
28秒前
小杜发布了新的文献求助10
29秒前
ZP发布了新的文献求助10
32秒前
AUT9发布了新的文献求助10
32秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3136067
求助须知:如何正确求助?哪些是违规求助? 2786953
关于积分的说明 7779912
捐赠科研通 2443071
什么是DOI,文献DOI怎么找? 1298892
科研通“疑难数据库(出版商)”最低求助积分说明 625244
版权声明 600870