薤白中与辛辣相关的基因网络,对硫磺处理的响应。

IF 1.9 Q3 GENETICS & HEREDITY
Ali Ammarellou
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引用次数: 0

摘要

大蒜(Allium sativum L.)的辛辣味是由烷基半胱氨酸亚砜(CSO)分解产生的,随后在大蒜素酶(All)的作用下分解为大蒜素。根据最新证据,亚硫酸盐还原酶(SiR)和超氧化物歧化酶(SOD)等另外两个重要基因被认为与硫代谢有关。这三个基因的功能属于硫酸盐同化途径。然而,它们是否参与了作物的胁迫响应还很不清楚。本研究采用实时定量 PCR(RT-qPCR)分析方法,对采集自伊朗赞詹省、哈马丹省和吉兰省的一些大蒜生态型在硫浓度(0、6、12、24 和 60 克/每实验单位:盆)条件下的三个基因(包括 All、SiR 和 SOD)的同时表达顺序和优先级进行了测定。为了解所研究基因与其他相关基因之间的网络交互作用,研究人员构建了硅基基因网络分析,以研究刺激莴苣应对硫的各种机制。将复杂的网络(包括 TF-TF、miRNA-TF 和 miRNA-TF-基因)拆分为多个子网络,以便对其进行更深入的了解。q-RT-PCR 数据分析显示,All 和 SiR 基因的表达量最高。为了区分和选择硫代谢的重要通路,提取了 Pathway Studio 软件 v.10 (Elsevier)的 RESNET 植物数据库以及其他相关数据,如化学反应、TFs、miRNAs、酶和小分子。复杂的子网络显示了应激反应与硫酸盐同化途径之间的大量路径。尽管Alliinase与其他应激反应基因没有任何联系,但它与凝集素功能类基因有结合关系,因此间接与亮氨酸拉链、外纤维素酶、过氧化物酶和ARF功能类基因有联系。这些基因的整合网络显示,它们参与了多种生物过程,如 RNA 剪接、应激反应、miRNA 的基因沉默和表观遗传。这项研究的结果可用于进一步研究大蒜代谢工程、大蒜应激相关基因,以及降低或提高大蒜辛辣味相关基因的活性,以满足健康和工业需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pungency related gene network in Allium sativum L., response to sulfur treatments.

Pungency of garlic (Allium sativum L.) is generated from breakdown of the alk(en)yl cysteine sulphoxide (CSO), alliin and its subsequent breakdown to allicin under the activity of alliinase (All). Based on recent evidence, two other important genes including Sulfite reductase (SiR) and Superoxide dismutase (SOD) are thought to be related to sulfur metabolism. These three gene functions are in sulfate assimilation pathway. However, whether it is involved in stress response in crops is largely unknown. In this research, the order and priority of simultaneous expression of three genes including All, SiR and SOD were measured on some garlic ecotypes of Iran, collected from Zanjan, Hamedan and Gilan, provinces under sulfur concentrations (0, 6, 12, 24 and 60 g/ per experimental unit: pot) using real-time quantitative PCR (RT-qPCR) analysis. For understanding the network interactions between studied genes and other related genes, in silico gene network analysis was constructed to investigate various mechanisms underlying stimulation of A. sativum L. to cope with imposed sulfur. Complicated network including TF-TF, miRNA-TF, and miRNA-TF-gene, was split into sub-networks to have a deeper insight. Analysis of q-RT-PCR data revealed the highest expression in All and SiR genes respectively. To distinguish and select significant pathways in sulfur metabolism, RESNET Plant database of Pathway Studio software v.10 (Elsevier), and other relative data such as chemical reactions, TFs, miRNAs, enzymes, and small molecules were extracted. Complex sub-network exhibited plenty of routes between stress response and sulfate assimilation pathway. Even though Alliinase did not display any connectivity with other stress response genes, it showed binding relation with lectin functional class, as a result of which connected to leucine zipper, exocellulase, peroxidase and ARF functional class indirectly. Integration network of these genes revealed their involvement in various biological processes such as, RNA splicing, stress response, gene silencing by miRNAs, and epigenetic. The findings of this research can be used to extend further research on the garlic metabolic engineering, garlic stress related genes, and also reducing or enhancing the activity of the responsible genes for garlic pungency for health benefits and industry demands.

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