New Cross-Talks between Pathways Involved in Grapevine Infection with ‘<i>Candidatus</i> Phytoplasma solani’ Revealed by Temporal Network Modelling
Understanding temporal biological phenomena is a challenging task that can be approached using network analysis. Here, we explored whether network reconstruction can be used to better understand the temporal dynamics of bois noir, which is associated with ‘<i>Candidatus</i> Phytoplasma s...
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doaj-626b7df717ae41ec8f76883b374e68f02021-03-29T23:03:00ZengMDPI AGPlants2223-77472021-03-011064664610.3390/plants10040646New Cross-Talks between Pathways Involved in Grapevine Infection with ‘<i>Candidatus</i> Phytoplasma solani’ Revealed by Temporal Network ModellingBlaž Škrlj0Maruša Pompe Novak1Günter Brader2Barbara Anžič3Živa Ramšak4Kristina Gruden5Jan Kralj6Aleš Kladnik7Nada Lavrač8Thomas Roitsch9Marina Dermastia10Jožef Stefan International Postgraduate School, 1000 Ljubljana, SloveniaNational Institute of Biology, 1000 Ljubljana, SloveniaAustrian Institute of Technology, Bioresources Unit, 3430 Tulln, AustriaNational Institute of Biology, 1000 Ljubljana, SloveniaNational Institute of Biology, 1000 Ljubljana, SloveniaNational Institute of Biology, 1000 Ljubljana, SloveniaJožef Stefan Institute, 1000 Ljubljana, SloveniaDepartment of Biology, Biotechnical Faculty, University of Ljubljana, 1000 Ljubljana, SloveniaJožef Stefan International Postgraduate School, 1000 Ljubljana, SloveniaDepartment of Plant and Environmental Sciences, University of Copenhagen, 2630 Taastrup, DenmarkNational Institute of Biology, 1000 Ljubljana, SloveniaUnderstanding temporal biological phenomena is a challenging task that can be approached using network analysis. Here, we explored whether network reconstruction can be used to better understand the temporal dynamics of bois noir, which is associated with ‘<i>Candidatus</i> Phytoplasma solani’, and is one of the most widespread phytoplasma diseases of grapevine in Europe. We proposed a methodology that explores the temporal network dynamics at the community level, i.e., densely connected subnetworks. The methodology offers both insights into the functional dynamics via enrichment analysis at the community level, and analyses of the community dissipation, as a measure that accounts for community degradation. We validated this methodology with cases on experimental temporal expression data of uninfected grapevines and grapevines infected with ‘<i>Ca</i>. P. solani’. These data confirm some known gene communities involved in this infection. They also reveal several new gene communities and their potential regulatory networks that have not been linked to ‘<i>Ca</i>. P. solani’ to date. To confirm the capabilities of the proposed method, selected predictions were empirically evaluated.https://www.mdpi.com/2223-7747/10/4/646network analysisphytoplasmabois noircommunity detectionenrichment analysis |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Blaž Škrlj Maruša Pompe Novak Günter Brader Barbara Anžič Živa Ramšak Kristina Gruden Jan Kralj Aleš Kladnik Nada Lavrač Thomas Roitsch Marina Dermastia |
spellingShingle |
Blaž Škrlj Maruša Pompe Novak Günter Brader Barbara Anžič Živa Ramšak Kristina Gruden Jan Kralj Aleš Kladnik Nada Lavrač Thomas Roitsch Marina Dermastia New Cross-Talks between Pathways Involved in Grapevine Infection with ‘<i>Candidatus</i> Phytoplasma solani’ Revealed by Temporal Network Modelling Plants network analysis phytoplasma bois noir community detection enrichment analysis |
author_facet |
Blaž Škrlj Maruša Pompe Novak Günter Brader Barbara Anžič Živa Ramšak Kristina Gruden Jan Kralj Aleš Kladnik Nada Lavrač Thomas Roitsch Marina Dermastia |
author_sort |
Blaž Škrlj |
title |
New Cross-Talks between Pathways Involved in Grapevine Infection with ‘<i>Candidatus</i> Phytoplasma solani’ Revealed by Temporal Network Modelling |
title_short |
New Cross-Talks between Pathways Involved in Grapevine Infection with ‘<i>Candidatus</i> Phytoplasma solani’ Revealed by Temporal Network Modelling |
title_full |
New Cross-Talks between Pathways Involved in Grapevine Infection with ‘<i>Candidatus</i> Phytoplasma solani’ Revealed by Temporal Network Modelling |
title_fullStr |
New Cross-Talks between Pathways Involved in Grapevine Infection with ‘<i>Candidatus</i> Phytoplasma solani’ Revealed by Temporal Network Modelling |
title_full_unstemmed |
New Cross-Talks between Pathways Involved in Grapevine Infection with ‘<i>Candidatus</i> Phytoplasma solani’ Revealed by Temporal Network Modelling |
title_sort |
new cross-talks between pathways involved in grapevine infection with ‘<i>candidatus</i> phytoplasma solani’ revealed by temporal network modelling |
publisher |
MDPI AG |
series |
Plants |
issn |
2223-7747 |
publishDate |
2021-03-01 |
description |
Understanding temporal biological phenomena is a challenging task that can be approached using network analysis. Here, we explored whether network reconstruction can be used to better understand the temporal dynamics of bois noir, which is associated with ‘<i>Candidatus</i> Phytoplasma solani’, and is one of the most widespread phytoplasma diseases of grapevine in Europe. We proposed a methodology that explores the temporal network dynamics at the community level, i.e., densely connected subnetworks. The methodology offers both insights into the functional dynamics via enrichment analysis at the community level, and analyses of the community dissipation, as a measure that accounts for community degradation. We validated this methodology with cases on experimental temporal expression data of uninfected grapevines and grapevines infected with ‘<i>Ca</i>. P. solani’. These data confirm some known gene communities involved in this infection. They also reveal several new gene communities and their potential regulatory networks that have not been linked to ‘<i>Ca</i>. P. solani’ to date. To confirm the capabilities of the proposed method, selected predictions were empirically evaluated. |
topic |
network analysis phytoplasma bois noir community detection enrichment analysis |
url |
https://www.mdpi.com/2223-7747/10/4/646 |
work_keys_str_mv |
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