دورية أكاديمية
Data analysis of polygalacturonase inhibiting proteins (PGIPs) from agriculturally important proteomes
العنوان: | Data analysis of polygalacturonase inhibiting proteins (PGIPs) from agriculturally important proteomes |
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المؤلفون: | Sudha Acharya, Hallie A. Troell, Rebecca L. Billingsley, Katherine S. Lawrence, Daniel S. McKirgan, Nadim W. Alkharouf, Vincent P. Klink |
المصدر: | Data in Brief, Vol 52, Iss , Pp 109831- (2024) |
بيانات النشر: | Elsevier, 2024. |
سنة النشر: | 2024 |
المجموعة: | LCC:Computer applications to medicine. Medical informatics LCC:Science (General) |
مصطلحات موضوعية: | Plant interactions, Polygalacturonase inhibiting protein (PGIP), Soybean, Heterodera glycines, Beta vulgaris, Sugar beet, Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390 |
الوصف: | The plant cell wall structure can be altered by pathogen-secreted polygalacturonases (PGs) that cleave the α-(1→4) linkages occurring between D-galacturonic acid residues in homogalacturonan. The activity of the PGs leads to cell wall maceration, facilitating infection. Plant PG inhibiting proteins (PGIPs) impede pathogen PGs, impairing infection and leading to the ability of the plant to resist infection. Analyses show the Glycine max PGIP11 (GmPGIP11) is expressed within a root cell that is parasitized by the pathogenic nematode Heterodera glycines, the soybean cyst nematode (SCN), but while undergoing a defence response that leads to its demise. Transgenic experiments show GmPGIP11 overexpression leads to a successful defence response, while the overexpression of a related G. max PGIP, GmPGIP1 does not, indicating a level of specificity. The analyses presented here have identified PGIPs from 51 additional studied proteomes, many of agricultural importance. The analyses include the computational identification of signal peptides and their cleavage sites, O-, and N-glycosylation. Artificial intelligence analyses determine the location where the processed protein localize. The identified PGIPs are presented as a tool base from which functional transgenics can be performed to determine whether they may have a role in plant-pathogen interactions. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2352-3409 |
Relation: | http://www.sciencedirect.com/science/article/pii/S2352340923008934; https://doaj.org/toc/2352-3409 |
DOI: | 10.1016/j.dib.2023.109831 |
URL الوصول: | https://doaj.org/article/a3a4370cbc2a4d2ba825101583ae6c3b |
رقم الأكسشن: | edsdoj.3a4370cbc2a4d2ba825101583ae6c3b |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 23523409 |
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DOI: | 10.1016/j.dib.2023.109831 |