Cargando…
The Interactomic Analysis Reveals Pathogenic Protein Networks in Phomopsis longicolla Underlying Seed Decay of Soybean
Phomopsis longicolla T. W. Hobbs (syn. Diaporthe longicolla) is the primary cause of Phomopsis seed decay (PSD) in soybean, Glycine max (L.) Merrill. This disease results in poor seed quality and is one of the most economically important seed diseases in soybean. The objectives of this study were to...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891612/ https://www.ncbi.nlm.nih.gov/pubmed/29666630 http://dx.doi.org/10.3389/fgene.2018.00104 |
_version_ | 1783313031280721920 |
---|---|
author | Li, Shuxian Musungu, Bryan Lightfoot, David Ji, Pingsheng |
author_facet | Li, Shuxian Musungu, Bryan Lightfoot, David Ji, Pingsheng |
author_sort | Li, Shuxian |
collection | PubMed |
description | Phomopsis longicolla T. W. Hobbs (syn. Diaporthe longicolla) is the primary cause of Phomopsis seed decay (PSD) in soybean, Glycine max (L.) Merrill. This disease results in poor seed quality and is one of the most economically important seed diseases in soybean. The objectives of this study were to infer protein–protein interactions (PPI) and to identify conserved global networks and pathogenicity subnetworks in P. longicolla including orthologous pathways for cell signaling and pathogenesis. The interlog method used in the study identified 215,255 unique PPIs among 3,868 proteins. There were 1,414 pathogenicity related genes in P. longicolla identified using the pathogen host interaction (PHI) database. Additionally, 149 plant cell wall degrading enzymes (PCWDE) were detected. The network captured five different classes of carbohydrate degrading enzymes, including the auxiliary activities, carbohydrate esterases, glycoside hydrolases, glycosyl transferases, and carbohydrate binding molecules. From the PPI analysis, novel interacting partners were determined for each of the PCWDE classes. The most predominant class of PCWDE was a group of 60 glycoside hydrolases proteins. The glycoside hydrolase subnetwork was found to be interacting with 1,442 proteins within the network and was among the largest clusters. The orthologous proteins FUS3, HOG, CYP1, SGE1, and the g5566t.1 gene identified in this study could play an important role in pathogenicity. Therefore, the P. longicolla protein interactome (PiPhom) generated in this study can lead to a better understanding of PPIs in soybean pathogens. Furthermore, the PPI may aid in targeting of genes and proteins for further studies of the pathogenicity mechanisms. |
format | Online Article Text |
id | pubmed-5891612 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58916122018-04-17 The Interactomic Analysis Reveals Pathogenic Protein Networks in Phomopsis longicolla Underlying Seed Decay of Soybean Li, Shuxian Musungu, Bryan Lightfoot, David Ji, Pingsheng Front Genet Genetics Phomopsis longicolla T. W. Hobbs (syn. Diaporthe longicolla) is the primary cause of Phomopsis seed decay (PSD) in soybean, Glycine max (L.) Merrill. This disease results in poor seed quality and is one of the most economically important seed diseases in soybean. The objectives of this study were to infer protein–protein interactions (PPI) and to identify conserved global networks and pathogenicity subnetworks in P. longicolla including orthologous pathways for cell signaling and pathogenesis. The interlog method used in the study identified 215,255 unique PPIs among 3,868 proteins. There were 1,414 pathogenicity related genes in P. longicolla identified using the pathogen host interaction (PHI) database. Additionally, 149 plant cell wall degrading enzymes (PCWDE) were detected. The network captured five different classes of carbohydrate degrading enzymes, including the auxiliary activities, carbohydrate esterases, glycoside hydrolases, glycosyl transferases, and carbohydrate binding molecules. From the PPI analysis, novel interacting partners were determined for each of the PCWDE classes. The most predominant class of PCWDE was a group of 60 glycoside hydrolases proteins. The glycoside hydrolase subnetwork was found to be interacting with 1,442 proteins within the network and was among the largest clusters. The orthologous proteins FUS3, HOG, CYP1, SGE1, and the g5566t.1 gene identified in this study could play an important role in pathogenicity. Therefore, the P. longicolla protein interactome (PiPhom) generated in this study can lead to a better understanding of PPIs in soybean pathogens. Furthermore, the PPI may aid in targeting of genes and proteins for further studies of the pathogenicity mechanisms. Frontiers Media S.A. 2018-04-03 /pmc/articles/PMC5891612/ /pubmed/29666630 http://dx.doi.org/10.3389/fgene.2018.00104 Text en Copyright © 2018 Li, Musungu, Lightfoot and Ji. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Li, Shuxian Musungu, Bryan Lightfoot, David Ji, Pingsheng The Interactomic Analysis Reveals Pathogenic Protein Networks in Phomopsis longicolla Underlying Seed Decay of Soybean |
title | The Interactomic Analysis Reveals Pathogenic Protein Networks in Phomopsis longicolla Underlying Seed Decay of Soybean |
title_full | The Interactomic Analysis Reveals Pathogenic Protein Networks in Phomopsis longicolla Underlying Seed Decay of Soybean |
title_fullStr | The Interactomic Analysis Reveals Pathogenic Protein Networks in Phomopsis longicolla Underlying Seed Decay of Soybean |
title_full_unstemmed | The Interactomic Analysis Reveals Pathogenic Protein Networks in Phomopsis longicolla Underlying Seed Decay of Soybean |
title_short | The Interactomic Analysis Reveals Pathogenic Protein Networks in Phomopsis longicolla Underlying Seed Decay of Soybean |
title_sort | interactomic analysis reveals pathogenic protein networks in phomopsis longicolla underlying seed decay of soybean |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891612/ https://www.ncbi.nlm.nih.gov/pubmed/29666630 http://dx.doi.org/10.3389/fgene.2018.00104 |
work_keys_str_mv | AT lishuxian theinteractomicanalysisrevealspathogenicproteinnetworksinphomopsislongicollaunderlyingseeddecayofsoybean AT musungubryan theinteractomicanalysisrevealspathogenicproteinnetworksinphomopsislongicollaunderlyingseeddecayofsoybean AT lightfootdavid theinteractomicanalysisrevealspathogenicproteinnetworksinphomopsislongicollaunderlyingseeddecayofsoybean AT jipingsheng theinteractomicanalysisrevealspathogenicproteinnetworksinphomopsislongicollaunderlyingseeddecayofsoybean AT lishuxian interactomicanalysisrevealspathogenicproteinnetworksinphomopsislongicollaunderlyingseeddecayofsoybean AT musungubryan interactomicanalysisrevealspathogenicproteinnetworksinphomopsislongicollaunderlyingseeddecayofsoybean AT lightfootdavid interactomicanalysisrevealspathogenicproteinnetworksinphomopsislongicollaunderlyingseeddecayofsoybean AT jipingsheng interactomicanalysisrevealspathogenicproteinnetworksinphomopsislongicollaunderlyingseeddecayofsoybean |