Proteomics

Dataset Information

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Identification and quantification of allele specific proteins and homeolog expression bias in an allopolyploid non-model crop by integrating transcriptomics and proteomics.


ABSTRACT: The fate of doubled genes, from allopolyploid or autopolyploid origin, is controlled at multiple levels within the central dogma: gene loss or silencing, neo- and/or sub functionalization, inter genomic transfer, allele dominance/co-dominance, differences in transcription/translation efficiency, post translational modifications… These regulatory processes through evolution have caused a plethora of genotype x environment interactions displayed in the modern day phenotypes. The study of non-model crops is challenging but solutions are emerging. More and more, one gets insight into the tolerance mechanisms of a specific genotype. By integrating transcriptomics into our proteomic data, we studied the genetic diversity of an allopolyploid ABB banana, a tolerant genotype, and compared it to two different sensitive AAA genotypes. The root growth of the ABB cultivar was 60 % higher under mild osmotic stress. 234,000 spectra were aligned and quantified, resulting in 2,753 identified root proteins. 383 gene loci displayed genotype specific differential expression whereof 252 showed at least one Single Amino Acid Polymorphism (SAAP). The homeoallelic contribution was assessed using transcriptome read alignment, thus revealing each allele contribution at the RNA level. This provides insight in the structure and the organization of the triploid genome. In the ABB cultivar, allele expressions are supposed to follow a 1/3 and 2/3 pattern. We found that many genes deviated from this expectation and we show that 32 gene loci even displayed a 100% read preference for the allele that was unique for the ABB tolerant genotype , suggesting that the presence of unique alleles and homoelog expression bias is correlated to the observed phenotype.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Musa Acuminata Subsp. Malaccensis

TISSUE(S): Root

SUBMITTER: Jelle van Wesemael  

LAB HEAD: Sebastien Carpentier

PROVIDER: PXD006375 | Pride | 2018-01-29

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
Cach_ITC0643.mzid.gz Mzid
Cach_ITC0643.pride.mztab.gz Mztab
GNCDSAA_concatenated_target_decoy.fasta Fasta
GN_ITC0180.mzid.gz Mzid
GN_ITC0180.pride.mztab.gz Mztab
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Publications

Differential root transcriptomics in a polyploid non-model crop: the importance of respiration during osmotic stress.

Zorrilla-Fontanesi Yasmín Y   Rouard Mathieu M   Cenci Alberto A   Kissel Ewaut E   Do Hien H   Dubois Emeric E   Nidelet Sabine S   Roux Nicolas N   Swennen Rony R   Carpentier Sebastien Christian SC  

Scientific reports 20160303


To explore the transcriptomic global response to osmotic stress in roots, 18 mRNA-seq libraries were generated from three triploid banana genotypes grown under mild osmotic stress (5% PEG) and control conditions. Illumina sequencing produced 568 million high quality reads, of which 70-84% were mapped to the banana diploid reference genome. Using different uni- and multivariate statistics, 92 genes were commonly identified as differentially expressed in the three genotypes. Using our in house wor  ...[more]

Publication: 1/2

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