| Naslov: | Network modelling unravels mechanisms of crosstalk between ethylene and salicylate signalling in potato |
|---|
| Avtorji: | ID Ramšak, Živa (Avtor)
ID Coll Rius, Anna (Avtor)
ID Stare, Tjaša (Avtor)
ID Tzfadia, Oren (Avtor)
ID Baebler, Špela (Avtor)
ID Van de Peer, Yves (Avtor)
ID Gruden, Kristina (Avtor) |
|---|
| Datoteke: |  URL - Izvorni URL, za dostop obiščite http://dx.doi.org/10.1104/pp.18.00450
 PDF - Predstavitvena datoteka, prenos (1,77 MB)
MD5: FDB9519CC225B5FEEFF37359AA65C00D
|
|---|
| Jezik: | Angleški jezik |
|---|
| Tipologija: | 1.01 - Izvirni znanstveni članek |
|---|
| Organizacija: |  NIB - Nacionalni inštitut za biologijo
|
|---|
| Povzetek: | To develop novel crop breeding strategies, it is crucial to understand the mechanisms underlying the interaction between plants and their pathogens. Network modeling represents a powerful tool that can unravel properties of complex biological systems. In this study, we aimed to use network modeling to better understand immune signaling in potato (Solanum tuberosum). For this, we first built on a reliable Arabidopsis (Arabidopsis thaliana) immune signaling model, extending it with the information from diverse publicly available resources. Next, we translated the resulting prior knowledge network (20,012 nodes and 70,091 connections) to potato and superimposed it with an ensemble network inferred from time-resolved transcriptomics data for potato. We used different network modeling approaches to generate specific hypotheses of potato immune signaling mechanisms. An interesting finding was the identification of a string of molecular events illuminating the ethylene pathway modulation of the salicylic acid pathway through Nonexpressor of PR Genes1 gene expression. Functional validations confirmed this modulation, thus supporting the potential of our integrative network modeling approach for unraveling molecular mechanisms in complex systems. In addition, this approach can ultimately result in improved breeding strategies for potato and other sensitive crops. |
|---|
| Ključne besede: | network modelling, potato, molecular biology |
|---|
| Status publikacije: | Objavljeno |
|---|
| Verzija publikacije: | Objavljena publikacija |
|---|
| Datum objave: | 01.09.2018 |
|---|
| Leto izida: | 2018 |
|---|
| Št. strani: | str. 488-499 |
|---|
| Številčenje: | Vol. 178 |
|---|
| PID: | 20.500.12556/DiRROS-19986  |
|---|
| UDK: | 577 |
|---|
| ISSN pri članku: | 0032-0889 |
|---|
| DOI: | 10.1104/pp.18.00450 |
|---|
| COBISS.SI-ID: | 4778575 |
|---|
| Datum objave v DiRROS: | 01.08.2024 |
|---|
| Število ogledov: | 24 |
|---|
| Število prenosov: | 20 |
|---|
| Metapodatki: |     |
|---|
|
:
|
Kopiraj citat |
|---|
| | | | Objavi na: |  |
|---|
Postavite miškin kazalec na naslov za izpis povzetka. Klik na naslov izpiše
podrobnosti ali sproži prenos. |
