4.7 Article

Genome-wide analysis of allele-specific expression of genes in the model diatom Phaeodactylum tricornutum

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SCIENTIFIC REPORTS
卷 11, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41598-021-82529-1

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资金

  1. CNRS, region of Pays de la Loire (ConnecTalent EPIALG project)
  2. European Research Council Advanced Awards Diatomite and Diatomic
  3. French Government Investissements d'Avenir programs MEMO LIFE [ANR-10-LABX-54]
  4. Universite de Recherche Paris Sciences et Lettres (PSL) [ANR-1253 11-IDEX-0001-02]
  5. OCEANOMICS [ANR-11-BTBR-0008]
  6. Epicycle ANR project [ANR-19-CE20-0028-02]

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Recent advancements in next generation sequencing have led to the discovery of widespread autosomal allele-specific expression in mammals and plants, with potential phenotypic effects. Studies on diatoms have found extensive allele-specific expression related to adaptation to external cues and natural hybridization, with different degrees of bias in allelic expression. Validation experiments show that genes with moderate allelic bias are less stable than genes with nearly complete monoallelic expression.
Recent advances in next generation sequencing technologies have allowed the discovery of widespread autosomal allele-specific expression (aASE) in mammals and plants with potential phenotypic effects. Extensive numbers of genes with allele-specific expression have been described in the diatom Fragilariopsis cylindrus in association with adaptation to external cues, as well as in Fistulifera solaris in the context of natural hybridization. However, the role of aASE and its extent in diatoms remain elusive. In this study, we investigate allele-specific expression in the model diatom Phaeodactylum tricornutum by the re-analysis of previously published whole genome RNA sequencing data and polymorphism calling. We found that 22% of P. tricornutum genes show moderate bias in allelic expression while 1% show nearly complete monoallelic expression. Biallelic expression associates with genes encoding components of protein metabolism while moderately biased genes associate with functions in catabolism and protein transport. We validated candidate genes by pyrosequencing and found that moderate biases in allelic expression were less stable than monoallelically expressed genes that showed consistent bias upon experimental validations at the population level and in subcloning experiments. Our approach provides the basis for the analysis of aASE in P. tricornutum and could be routinely implemented to test for variations in allele expression under different environmental conditions.

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