Exogenous GABA-Ca Alleviates Growth Inhibition Induced by a Low-P Environment in Peanuts (Arachis hypogaea)

花生 花生 化学 生物 园艺
作者
Zhiyu Sun,Mingzhu Ma,Huan Liu,Dongbing Tao,Shaikh Amjad Salam,Xiaori Han,Yifei Liu,Jean Wan Hong Yong
出处
期刊:Antioxidants [Multidisciplinary Digital Publishing Institute]
卷期号:13 (11): 1414-1414 被引量:2
标识
DOI:10.3390/antiox13111414
摘要

Phosphorus (P) deficiency is a major global factor constraining peanut production. Exogenous γ-aminobutyric acid (GABA) and Ca2+ are essential to improve stress resilience in peanuts growing under low-P conditions. This study therefore examined the detailed physiological effects of GABA-Ca on restoring peanut growth under low-P conditions. These included the root–shoot ratio, leaf nutrients, photochemical activity, reactive oxygen species (ROS), cyclic electron flow (CEF), ATP synthase activity, and the proton gradient (∆pH), all of which were measured under low-P (LP, 0.5 mM) and optimized-P (1 mM) conditions. Specifically, supplying GABA-Ca under LP conditions regulated the ∆pH by causing adjustments in CEF and ATP synthase activities, buffering the photosystems’ activities, restoring the antioxidant enzyme system, and lowering ROS production. Interestingly, exogenous GABA-Ca restored peanut growth under low-P conditions, possibly by the putative signaling crosstalk between GABA and Ca2+. The plausible signal amplification between GABA and Ca2+ suggested that the combination of GABA and Ca, may offer an effective strategy for enhancing peanut adaptation to low-P conditions. Moving forward, the strategic supplementation of GABA-Ca, either during cultivation or through the formulation of novel fertilizers, opens up many possibilities for better and more resilient plant production in soils with low P.
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
1秒前
1秒前
丘比特应助卿亦佳人采纳,获得10
3秒前
FashionBoy应助卿亦佳人采纳,获得10
3秒前
酷波er应助ZSQQZX采纳,获得10
3秒前
alexzlmmd发布了新的文献求助10
4秒前
5秒前
彭于晏应助哎哟哎哟采纳,获得10
5秒前
华仔应助自信的天蓝采纳,获得10
6秒前
所所应助学术垃圾回收站采纳,获得80
6秒前
mouse完成签到,获得积分10
6秒前
7秒前
Ethereal发布了新的文献求助10
7秒前
博修发布了新的文献求助10
7秒前
鹅小小发布了新的文献求助10
7秒前
在水一方应助SCI666采纳,获得10
8秒前
笨笨摇伽发布了新的文献求助10
9秒前
10秒前
10秒前
11秒前
小古发布了新的文献求助10
11秒前
13秒前
ddorri发布了新的文献求助10
13秒前
13秒前
空岛与影完成签到,获得积分10
14秒前
15秒前
16秒前
徐恺发布了新的文献求助10
16秒前
17秒前
18秒前
19秒前
yangmiemie发布了新的文献求助10
19秒前
满意茹嫣发布了新的文献求助10
19秒前
zx完成签到,获得积分10
20秒前
20秒前
哈哈哈哈完成签到 ,获得积分20
20秒前
泡泡泡芙发布了新的文献求助30
21秒前
feix完成签到,获得积分10
21秒前
季尽雨完成签到 ,获得积分10
21秒前
睡个懒觉发布了新的文献求助10
21秒前
高分求助中
(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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Concepts in the Brain 500
核安全综合知识2024版 500
Photothermal Science and Techniques 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 7719345
求助须知:如何正确求助?哪些是违规求助? 9273024
关于积分的说明 20095473
捐赠科研通 7295346
什么是DOI,文献DOI怎么找? 3299824
关于科研通互助平台的介绍 2453569
邀请新用户注册赠送积分活动 2307104