Literature DB >> 21563841

MAPA distinguishes genotype-specific variability of highly similar regulatory protein isoforms in potato tuber.

Wolfgang Hoehenwarter1, Abdelhalim Larhlimi, Jan Hummel, Volker Egelhofer, Joachim Selbig, Joost T van Dongen, Stefanie Wienkoop, Wolfram Weckwerth.   

Abstract

Mass Accuracy Precursor Alignment is a fast and flexible method for comparative proteome analysis that allows the comparison of unprecedented numbers of shotgun proteomics analyses on a personal computer in a matter of hours. We compared 183 LC-MS analyses and more than 2 million MS/MS spectra and could define and separate the proteomic phenotypes of field grown tubers of 12 tetraploid cultivars of the crop plant Solanum tuberosum. Protein isoforms of patatin as well as other major gene families such as lipoxygenase and cysteine protease inhibitor that regulate tuber development were found to be the primary source of variability between the cultivars. This suggests that differentially expressed protein isoforms modulate genotype specific tuber development and the plant phenotype. We properly assigned the measured abundance of tryptic peptides to different protein isoforms that share extensive stretches of primary structure and thus inferred their abundance. Peptides unique to different protein isoforms were used to classify the remaining peptides assigned to the entire subset of isoforms based on a common abundance profile using multivariate statistical procedures. We identified nearly 4000 proteins which we used for quantitative functional annotation making this the most extensive study of the tuber proteome to date.

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Year:  2011        PMID: 21563841     DOI: 10.1021/pr101109a

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  7 in total

1.  Using ProtMAX to create high-mass-accuracy precursor alignments from label-free quantitative mass spectrometry data generated in shotgun proteomics experiments.

Authors:  Volker Egelhofer; Wolfgang Hoehenwarter; David Lyon; Wolfram Weckwerth; Stefanie Wienkoop
Journal:  Nat Protoc       Date:  2013-02-28       Impact factor: 13.491

Review 2.  Pollen proteomics: from stress physiology to developmental priming.

Authors:  Palak Chaturvedi; Arindam Ghatak; Wolfram Weckwerth
Journal:  Plant Reprod       Date:  2016-06-08       Impact factor: 3.767

Review 3.  Cereal Crop Proteomics: Systemic Analysis of Crop Drought Stress Responses Towards Marker-Assisted Selection Breeding.

Authors:  Arindam Ghatak; Palak Chaturvedi; Wolfram Weckwerth
Journal:  Front Plant Sci       Date:  2017-06-02       Impact factor: 5.753

4.  Leaf Apoplast of Field-Grown Potato Analyzed by Quantitative Proteomics and Activity-Based Protein Profiling.

Authors:  Kibrom B Abreha; Erik Alexandersson; Svante Resjö; Åsa Lankinen; Daniela Sueldo; Farnusch Kaschani; Markus Kaiser; Renier A L van der Hoorn; Fredrik Levander; Erik Andreasson
Journal:  Int J Mol Sci       Date:  2021-11-06       Impact factor: 5.923

5.  Comparison of leaf proteomes of cassava (Manihot esculenta Crantz) cultivar NZ199 diploid and autotetraploid genotypes.

Authors:  Feifei An; Jie Fan; Jun Li; Qing X Li; Kaimian Li; Wenli Zhu; Feng Wen; Luiz J C B Carvalho; Songbi Chen
Journal:  PLoS One       Date:  2014-04-11       Impact factor: 3.240

6.  Field-omics-understanding large-scale molecular data from field crops.

Authors:  Erik Alexandersson; Dan Jacobson; Melané A Vivier; Wolfram Weckwerth; Erik Andreasson
Journal:  Front Plant Sci       Date:  2014-06-20       Impact factor: 5.753

7.  Eco-Metabolomics and Metabolic Modeling: Making the Leap From Model Systems in the Lab to Native Populations in the Field.

Authors:  Matthias Nagler; Thomas Nägele; Christian Gilli; Lena Fragner; Arthur Korte; Alexander Platzer; Ashley Farlow; Magnus Nordborg; Wolfram Weckwerth
Journal:  Front Plant Sci       Date:  2018-11-06       Impact factor: 5.753

  7 in total

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