Screening of stable internal reference gene of Quinoa under hormone treatment and abiotic stress

参考基因 非生物胁迫 基因 基因表达 候选基因 生物 非生物成分 脱落酸 植物 遗传学 生态学
作者
Xiaolin Zhu,Baoqiang Wang,Xian Wang,Xiaohong Wei
出处
期刊:Physiology and Molecular Biology of Plants [Springer Science+Business Media]
卷期号:27 (11): 2459-2470 被引量:16
标识
DOI:10.1007/s12298-021-01094-z
摘要

Real-time quantitative polymerase chain reaction is the most commonly used method to accurately detect gene expression patterns. The method requires stable internal reference genes to standardize the data. However, studies have shown that there is no stable expression of internal reference genes in different tissues and under different treatments. Therefore, in order to study the optimal reference genes of quinoa under different hormones and abiotic stress, leaves and stems from quinoa seedlings treated with low temperature (4 °C), salt (200 mmol/L) and abscisic acid (200 mmol/L) were used as experimental materials. Using ACT-1, eIF, EF1α, GAPDH, TUA, TUB-9, TUB-1, H2A and L8-1 as candidate reference genes, the expression stability of these 9 quinoa candidate reference genes under different hormone treatment and abiotic stress was evaluated by using geNorm, NormFinder and BestKeeper software. The results showed that TUB-1 gene under salt stress, L8-1 gene under low temperature stress, EF-1α gene induced by ABA. PLIM2c WLIM1and WLIM2b were selected to verify the candidate internal reference genes, and finally the expression of GAPDH was most unstable under the three treatments, which was not suitable to be the internal reference gene of quinoa under specific conditions, while EF1α showed good stability under the three different treatments and was suitable to be used as the internal reference gene. In conclusion, the results of this study could provide an important reference for quantifying the expression level of reference genes in quinoa.The online version contains supplementary material available at 10.1007/s12298-021-01094-z.
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
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
zmz完成签到,获得积分10
1秒前
科研通AI2S应助小李采纳,获得10
1秒前
hrpppp发布了新的文献求助10
2秒前
虚心三问发布了新的文献求助10
3秒前
无一完成签到,获得积分10
4秒前
yu完成签到,获得积分10
4秒前
5秒前
NNNNN完成签到,获得积分10
6秒前
活力的问安完成签到 ,获得积分10
6秒前
6秒前
传奇3应助黄良凤采纳,获得10
7秒前
打打应助焜少采纳,获得10
9秒前
9秒前
Lucas应助秀丽的平彤采纳,获得10
10秒前
12秒前
隐形曼青应助不得了采纳,获得10
14秒前
14秒前
科研通AI2S应助闪闪觅风采纳,获得10
15秒前
baopan完成签到,获得积分10
16秒前
NNNNN发布了新的文献求助10
17秒前
17秒前
wang应助七安采纳,获得10
18秒前
bozi完成签到 ,获得积分10
18秒前
天天快乐应助jessie采纳,获得10
18秒前
19秒前
CKK发布了新的文献求助30
19秒前
果汁羊排发布了新的文献求助10
19秒前
20秒前
21秒前
kililolo完成签到,获得积分10
22秒前
YY关注了科研通微信公众号
22秒前
852应助爱学医的小周采纳,获得20
23秒前
崔崔发布了新的文献求助10
23秒前
李健的小迷弟应助zhan采纳,获得10
23秒前
23秒前
玉凝漪关注了科研通微信公众号
24秒前
24秒前
无风之旅发布了新的文献求助10
25秒前
26秒前
11发布了新的文献求助30
26秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Erwählung und Berufung bei Paulus: Bedeutung, Entwicklung und Funktion einer Vorstellung in ihrem frühjüdischen und griechisch-römischen Kontext 850
Matrix Methods in Data Mining and Pattern Recognition 510
Structural Geology: A Quantitative Introduction 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7216778
求助须知:如何正确求助?哪些是违规求助? 8848301
关于积分的说明 18672636
捐赠科研通 6873135
什么是DOI,文献DOI怎么找? 3185148
关于科研通互助平台的介绍 2347060
邀请新用户注册赠送积分活动 2159429