guest ::
| Home > Publications database > Phosphate starvation causes different stress responses in the lipid metabolism of tomato leaves and roots > print |
| Home > Publications database > Phosphate starvation causes different stress responses in the lipid metabolism of tomato leaves and roots > print |
| 001 | 878346 | ||
| 005 | 20220930130247.0 | ||
| 024 | 7 | _ | |a 10.1016/j.bbalip.2020.158763 |2 doi |
| 024 | 7 | _ | |a 1388-1981 |2 ISSN |
| 024 | 7 | _ | |a 1879-2618 |2 ISSN |
| 024 | 7 | _ | |a 2128/25474 |2 Handle |
| 024 | 7 | _ | |a altmetric:85837134 |2 altmetric |
| 024 | 7 | _ | |a pmid:32645408 |2 pmid |
| 024 | 7 | _ | |a WOS:000552710900023 |2 WOS |
| 037 | _ | _ | |a FZJ-2020-02794 |
| 082 | _ | _ | |a 570 |
| 100 | 1 | _ | |a Pfaff, Julia |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Phosphate starvation causes different stress responses in the lipid metabolism of tomato leaves and roots |
| 260 | _ | _ | |a Amsterdam |c 2020 |b Elsevier |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1599462550_14807 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Plants have evolved various acclimation responses to cope with phosphate depletion, including several changes in lipid metabolism. Thereby membrane phospholipids are dephosphorylated and can be used as an internal phosphate source, while galactolipids are incorporated into the membrane to maintain membrane functionality. Still little is known about the lipidomic and transcriptomic response of plants other than Arabidopsis thaliana upon phosphate starvation. Therefore, we employed lipidomics and transcriptomics to characterize the phosphate starvation response of lipid metabolism in tomato leaves and roots.Overall, phospholipid levels decreased and galactolipids increased during the acclimation response. In addition, an early increase of triacylglycerol was observed. Interestingly, there were major differences in the acclimation response of tomato leaves and roots: leaves mainly accumulated polyunsaturated triacylglycerol, while roots showed a massive increase in galactolipid content. In line with these results, we observed transcriptional induction of phospholipid degradation and galactolipid synthesis pathways in both analyzed tissues. In contrast, other aspects of the transcriptional response, in particular, the induction of phospholipid degradation, ER-localized fatty acid desaturation and triacylglycerol assembly differed between tomato leaves and roots.These results suggest a different modulation of degraded phospholipids toward triacylglycerols and galactolipids in phosphate-starved tomato leaves and roots. Possibly the availability and composition of acyl-CoA pools and ER-derived precursors trigger the synthesis of triacylglycerols or galactolipids. As the mechanism of triacylglycerol accumulation is poorly characterized outside of seed oil formation, these findings enhance our understanding of the phosphate starvation response and of how storage lipids accumulate under stress in vegetative tissue. Previous article in issue |
| 536 | _ | _ | |a 582 - Plant Science (POF3-582) |0 G:(DE-HGF)POF3-582 |c POF3-582 |f POF III |x 0 |
| 536 | _ | _ | |a 583 - Innovative Synergisms (POF3-583) |0 G:(DE-HGF)POF3-583 |c POF3-583 |f POF III |x 1 |
| 588 | _ | _ | |a Dataset connected to CrossRef |
| 700 | 1 | _ | |a Denton, Alisandra K. |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Usadel, Björn |0 P:(DE-Juel1)145719 |b 2 |u fzj |
| 700 | 1 | _ | |a Pfaff, Christian |0 P:(DE-Juel1)164481 |b 3 |u fzj |
| 773 | _ | _ | |a 10.1016/j.bbalip.2020.158763 |g Vol. 1865, no. 9, p. 158763 - |0 PERI:(DE-600)2209502-0 |n 9 |p 158763 - |t Biochimica et biophysica acta / Molecular and cell biology of lipids Molecular and cell biology of lipids |v 1865 |y 2020 |x 1388-1981 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/878346/files/Invoice_OAD0000066606.pdf |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/878346/files/1-s2.0-S1388198120301554-main.pdf |y OpenAccess |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/878346/files/1-s2.0-S1388198120301554-main.pdf?subformat=pdfa |x pdfa |y OpenAccess |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/878346/files/Invoice_OAD0000066606.pdf?subformat=pdfa |x pdfa |
| 909 | C | O | |o oai:juser.fz-juelich.de:878346 |p openaire |p open_access |p OpenAPC |p driver |p VDB |p openCost |p dnbdelivery |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)145719 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)164481 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Key Technologies for the Bioeconomy |1 G:(DE-HGF)POF3-580 |0 G:(DE-HGF)POF3-582 |2 G:(DE-HGF)POF3-500 |v Plant Science |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Key Technologies for the Bioeconomy |1 G:(DE-HGF)POF3-580 |0 G:(DE-HGF)POF3-583 |2 G:(DE-HGF)POF3-500 |v Innovative Synergisms |x 1 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |
| 914 | 1 | _ | |y 2020 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2020-02-27 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2020-02-27 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2020-02-27 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2020-02-27 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2020-02-27 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b BBA-MOL CELL BIOL L : 2018 |d 2020-02-27 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |d 2020-02-27 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0110 |2 StatID |b Science Citation Index |d 2020-02-27 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |d 2020-02-27 |
| 915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |d 2020-02-27 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2020-02-27 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0310 |2 StatID |b NCBI Molecular Biology Database |d 2020-02-27 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2020-02-27 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2020-02-27 |
| 915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2020-02-27 |w ger |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2020-02-27 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)IBG-4-20200403 |k IBG-4 |l Bioinformatik |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)IBG-4-20200403 |
| 980 | _ | _ | |a APC |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | 1 | _ | |a APC |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|