Functional annotation of creeping bentgrass protein sequences based on convolutional neural network.

ABSTRACT:

Background

Creeping bentgrass (Agrostis soionifera) is a perennial grass of Gramineae, belonging to cold season turfgrass, but has poor disease resistance. Up to now, little is known about the induced systemic resistance (ISR) mechanism, especially the relevant functional proteins, which is important to disease resistance of turfgrass. Achieving more information of proteins of infected creeping bentgrass is helpful to understand the ISR mechanism.

Results

With BDO treatment, creeping bentgrass seedlings were grown, and the ISR response was induced by infecting Rhizoctonia solani. High-quality protein sequences of creeping bentgrass seedlings were obtained. Some of protein sequences were functionally annotated according to the database alignment while a large part of the obta

SUBMITTER: Jiang HY 

PROVIDER: S-EPMC9063134 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature