Proteome Analysis of Walnut Bacterial Blight Disease.
Proteome Analysis of Walnut Bacterial Blight Disease.
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DOI：
10.3390/ijms21207453
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发表时间：
2020-10-09
影响因子：
5.6
通讯作者：
Dandekar AM
中科院分区：
文献类型：
--
作者：
H D Sagawa C;de A B Assis R;Zaini PA;Wilmarth PA;Phinney BS;Moreira LM;Dandekar AM
研究了核桃（Juglans regia; Jr.）和一种致死性病原菌（Xanthomonas arboricola pv.）juglandis 417; Xaj）可导致核桃细菌性枯萎病（WB），其通过降低坚果品质而消耗核桃生产力。在这里，我们解剖这个病理系统使用串联质量标签定量蛋白质组学。将接种Xaj的核桃船体组织与模拟接种的组织进行比较，鉴定出3972个蛋白，其中3296个来自Jr，676个来自Xaj。具有差异丰度的蛋白质包括氧化还原酶、蛋白酶和参与能量代谢和氨基酸互变途径的酶。防御反应和植物激素的合成也增加。在感染组织中检测到的Xaj蛋白证明了其适应宿主微环境、限制铁的可用性、应对铜毒性以及维持能量和中间代谢的能力。分泌的蛋白酶和细胞外分泌装置，如IV型菌毛的抽搐运动和III型分泌效应表明推定的因素，由主机识别。两者合计，这些结果表明强烈的降解过程，氧化应激，并在受感染的坚果的生物合成代谢的一般逮捕。我们的研究结果提供了深入的分子机制，并突出了早期检测和疾病控制策略的潜在分子工具。
The interaction between the plant host, walnut (Juglans regia; Jr), and a deadly pathogen (Xanthomonas arboricola pv. juglandis 417; Xaj) can lead to walnut bacterial blight (WB), which depletes walnut productivity by degrading the nut quality. Here, we dissect this pathosystem using tandem mass tag quantitative proteomics. Walnut hull tissues inoculated with Xaj were compared to mock-inoculated tissues, and 3972 proteins were identified, of which 3296 are from Jr and 676 from Xaj. Proteins with differential abundance include oxidoreductases, proteases, and enzymes involved in energy metabolism and amino acid interconversion pathways. Defense responses and plant hormone biosynthesis were also increased. Xaj proteins detected in infected tissues demonstrate its ability to adapt to the host microenvironment, limiting iron availability, coping with copper toxicity, and maintaining energy and intermediary metabolism. Secreted proteases and extracellular secretion apparatus such as type IV pilus for twitching motility and type III secretion effectors indicate putative factors recognized by the host. Taken together, these results suggest intense degradation processes, oxidative stress, and general arrest of the biosynthetic metabolism in infected nuts. Our results provide insights into molecular mechanisms and highlight potential molecular tools for early detection and disease control strategies.
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影响因子：
3.4
作者：
Eng, Jimmy K.;Jahan, Tahmina A.;Hoopmann, Michael R.
通讯作者：
Hoopmann, Michael R.
DOI：
10.1073/pnas.1116027109
发表时间：
2012-03-06
影响因子：
11.1
作者：
Dandekar, Abhaya M.;Gouran, Hossein;Gupta, Goutam
通讯作者：
Gupta, Goutam
DOI：
10.1080/00221589.1982.11515025
发表时间：
1982-01-01
影响因子：
1.9
作者：
ESTERIO, MA;LATORRE, BA
通讯作者：
LATORRE, BA
影响因子：
5.6
作者：
Chowdhury S;Basu A;Kundu S
通讯作者：
Kundu S
影响因子：
4.4
作者：
Behlau, Franklin;Canteros, Blanca I.;Graham, James H.
通讯作者：
Graham, James H.