已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Taste of microbes: the terroir explained by rhizospheric microbes

泰勒瓦 非生物成分 生物 生态学 地理 葡萄酒 食品科学
作者
Ryohei Thomas Nakano
出处
期刊:New Phytologist [Wiley]
被引量:1
标识
DOI:10.1111/nph.19796
摘要

'This carefully designed experimental setup enabled a precise evaluation of how root-associated microbes impact seed flavor while accounting for variations in abiotic factors.' Microbes are everywhere, and virtually all organisms on Earth are living together with these environmental microbes. Plants are no exception and host a rich diversity of microbes on and within their tissues, forming what we call the plant microbiota (Bulgarelli et al., 2013). Over the years, numerous studies have demonstrated that plants and their associated microbiota profoundly influence each other's physiological behavior, and it is now widely recognized that microbiota is an integral part of plants living in their natural environments (Vandenkoornhuyse et al., 2015). Therefore, it is reasonable to assume that microbes have a significant influence on crop flavor, as in the terroir theory. The idea of terroir, historically, was rooted in the experiences of consumers who had tasted a wide variety of wines produced in diverse wineries across the globe, and academic field studies conducted in previous decades have corroborated these notions. For example, modern research has revealed a significant correlation between wine flavor, including its chemical profiles or pH, and abiotic factors, particularly water capacity and climate (Van Leeuwen & Seguin, 2006). However, the key challenges in field studies arise from the fact that 'soil' encompasses a multitude of multicollinear components, including chemical, physical, and biological factors, restricting the chance to uncover any causal relationship within the terroir conceptual framework. Terroir science explores more than just the taste of wines or other fruit-edible crops; it also provides insight into how plants coordinate their internal processes in response to soil and environmental conditions. Root-associated microbes apparently influence various aspects of plant physiology, including primary and specialized metabolism. For example, root colonizing Pseudomonas CH267 strongly induces the production of camalexin in roots, a known phytoalexin produced in a group of plants in Brassicaceae (Koprivova et al., 2019). In addition to eliciting a local response, root-inhabiting Pseudomonas strains systemically activate jasmonic acid pathways in the shoot (Pozo et al., 2008) and trigger the accumulation of immune-related plant specialized metabolites (PSMs), including glucosinolates (van de Mortel et al., 2012). Glucosinolates are a class of sulfur-containing PSMs produced by plants in the order Brassicales (Hopkins et al., 2009), with sinigrin (allyl glucosinolate) being one of the most well-characterized compounds in this group. Glucosinolates are glucose-conjugates whose aglycon is released by a specific class of glucosidases called myrosinases, typically resulting in the formation of isothiocyanates, which contribute to the unique flavor of Brassicaceae plants. Sinigrin, for instance, yields allyl isothiocyanates (also known as mustard oil) upon hydrolysis by myrosinases, which gives mustard seeds their characteristic spiciness. On the other hand, isothiocyanates are also acknowledged as a concern when rapeseed oil is produced from Brassica napus, given its undesired flavor and potentially harmful impact on human health at a higher dose. Breeding efforts have targeted cultivars that produce less sinigrin. Therefore, it is of agricultural and commercial significance to understand how soil microbes affect the accumulation of sinigrin in seeds. Walsh et al. addressed this question by reconstructing root–microbiota interactions using mustard plants grown in a controlled setting. They first prepared an axenic soil matrix by thoroughly autoclaving potting soils. Meanwhile, they harvested soils from five distinct locations with different characteristics, including dry and irrigated pastures, forest soils, as well as grove and brush soils, spanning roughly 100 miles at maximum distance. Microbes of each soil were extracted as 'soil slurry' by mixing soils with a buffer solution, followed by settling down soil particles. Crucially, for each soil slurry, an autoclaved sterile control was prepared to differentiate microbial effects from the effects caused by anything else in the slurries, such as their nutritional and metabolic constituents. Walsh et al. next grew mustard plants under regular external supplementation with respective soil slurries. Once all the plants had produced mature seeds, they harvested these seeds for metabolic profiling and roots and rhizosphere, the soil surrounding roots, for microbial profiling purposes. This carefully designed experimental setup enabled a precise evaluation of how root-associated microbes impact seed flavor while accounting for variations in abiotic factors. In fact, by applying a random forest model to the 16S rRNA and ITS amplicon sequencing data along with the seed sinigrin abundance data, they identified microbial taxa whose relative abundance in the rhizosphere reliably predicted the concentration of sinigrin in seeds. Interestingly, the origin of the slurries did not exhibit a clear impact on sinigrin accumulation in seeds, implying that the rhizosphere microbes influence mustard seed flavor in a manner that is independent of soil characteristics. What makes this study distinctive is that Walsh et al. went beyond merely identifying potential taxa affecting seed flavor; rather, they further aimed to explore the molecular framework underlying the association between rhizosphere microbiota compositions and seed flavor. They performed a shotgun metagenomic analysis to identify genes, rather than microbial taxa, whose normalized abundance in the rhizosphere community correlates with the sinigrin abundance in seeds. Interestingly, although no clear signature was found in glucosinolate-catabolizing genes, they observed that sulfur metabolic genes tend to be more prevalent in the rhizosphere when seeds accumulate higher levels of sinigrin. This apparently makes sense, given that a glucosinolate molecule contains two sulfur atoms, and implies that there is indeed a functional link between rhizospheric microbiota and glucosinolate production in plants. Naturally, the next step should involve testing whether the identified predictive microbial taxa are causally linked to the observed changes in sinigrin accumulation in seeds. This will require the isolation of corresponding microbial strains and subsequent experimental validation in a gnotobiotic inoculation setup to directly evaluate their influence on seed flavor. It is also important to note that the current data represents a snapshot at the end of the plant lifecycle, yet seed sinigrin abundance is likely impacted by root–soil interactions throughout the vegetative and reproductive growth stages. Thus, an intriguing experiment would be to track microbial community dynamics over time and pinpoint the time points at which the root microbial community composition is most predictive of seed sinigrin accumulation. However, the destructive nature of harvesting roots and rhizosphere imposes technical challenges toward this end, and a technical breakthrough that allows for the monitoring of root microbiota structures in a nondestructive, time-resolved manner is highly anticipated. Nevertheless, the study reinforces the growing body of evidence supporting the essential role of PSMs in root–microbiota interactions and, ultimately, in the ecological fitness of plants across generations through root–soil feedback (Nakayasu et al., 2022; Wang et al., 2023). PSM-driven plant flavor not only affects crop quality but also serves as a defense mechanism against pathogenic organisms, positioning microbial terroir as a promising area of research both in ecological and agricultural studies for the next decade. This work was supported by KAKENHI funded by JSPS to RTN (22K21367).

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
于雪晴发布了新的文献求助10
刚刚
1秒前
2秒前
研友_VZG7GZ应助波子汽水采纳,获得10
2秒前
KEHUGE完成签到,获得积分10
5秒前
6秒前
6秒前
胡馨安发布了新的文献求助10
6秒前
7秒前
ziyue完成签到,获得积分10
7秒前
7秒前
further完成签到,获得积分10
7秒前
共享精神应助lynn采纳,获得10
8秒前
8秒前
科研通AI6应助灵巧的傲柏采纳,获得10
8秒前
9秒前
小二郎应助东东采纳,获得10
9秒前
ziyue发布了新的文献求助30
10秒前
可爱鬼boom发布了新的文献求助10
10秒前
lmgj完成签到,获得积分10
11秒前
11秒前
11秒前
Fairy发布了新的文献求助30
12秒前
12秒前
WangT发布了新的文献求助10
14秒前
hill完成签到,获得积分10
14秒前
shandianluwei发布了新的文献求助10
14秒前
背后海亦发布了新的文献求助10
14秒前
15秒前
淡淡十三发布了新的文献求助10
15秒前
SGOM完成签到 ,获得积分10
15秒前
东东完成签到,获得积分20
15秒前
斯文败类应助Xavier采纳,获得10
15秒前
16秒前
大个应助Dongjie采纳,获得10
16秒前
长安发布了新的文献求助10
17秒前
Hilda007发布了新的文献求助10
18秒前
mieyy发布了新的文献求助10
19秒前
basil完成签到,获得积分10
20秒前
20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
Handbook of Milkfat Fractionation Technology and Application, by Kerry E. Kaylegian and Robert C. Lindsay, AOCS Press, 1995 1000
A novel angiographic index for predicting the efficacy of drug-coated balloons in small vessels 500
Textbook of Neonatal Resuscitation ® 500
The Affinity Designer Manual - Version 2: A Step-by-Step Beginner's Guide 500
Affinity Designer Essentials: A Complete Guide to Vector Art: Your Ultimate Handbook for High-Quality Vector Graphics 500
Optimisation de cristallisation en solution de deux composés organiques en vue de leur purification 500
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 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5075983
求助须知:如何正确求助?哪些是违规求助? 4295640
关于积分的说明 13385047
捐赠科研通 4117410
什么是DOI,文献DOI怎么找? 2254869
邀请新用户注册赠送积分活动 1259467
关于科研通互助平台的介绍 1192218