4.8 Article

An hnRNP-like RNA-binding protein affects alternative splicing by in vivo interaction with transcripts in Arabidopsis thaliana

Journal

NUCLEIC ACIDS RESEARCH
Volume 40, Issue 22, Pages 11240-11255

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gks873

Keywords

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Funding

  1. EMBO short term fellowship
  2. German Research foundation [STA 653/2, SFB613]
  3. Biotechnology and Biological Sciences Research Council (BBSRC) [BB/G024979/1]
  4. EU FP6 Programme-European Alternative Splicing Network of Excellence (EURASNET) [LSHG-CT-2005-518238]
  5. Scottish Government Rural and Environment Science and Analytical Services division (RESAS)
  6. Biotechnology and Biological Sciences Research Council [BB/G024979/1] Funding Source: researchfish
  7. BBSRC [BB/G024979/1] Funding Source: UKRI

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Alternative splicing (AS) of pre-mRNAs is an important regulatory mechanism shaping the transcriptome. In plants, only few RNA-binding proteins are known to affect AS. Here, we show that the glycine-rich RNA-binding protein AtGRP7 influences AS in Arabidopsis thaliana. Using a high-resolution RT-PCR-based AS panel, we found significant changes in the ratios of AS isoforms for 59 of 288 analyzed AS events upon ectopic AtGRP7 expression. In particular, AtGRP7 affected the choice of alternative 50 splice sites preferentially. About half of the events are also influenced by the paralog AtGRP8, indicating that AtGRP7 and AtGRP8 share a network of downstream targets. For 10 events, the AS patterns were altered in opposite directions in plants with elevated AtGRP7 level or lacking AtGRP7. Importantly, RNA immunoprecipitation from plant extracts showed that several transcripts are bound by AtGRP7 in vivo and indeed represent direct targets. Furthermore, the effect of AtGRP7 on these AS events was abrogated by mutation of a single arginine that is required for its RNA-binding activity. This indicates that AtGRP7 impacts AS of these transcripts via direct interaction. As several of the AS events are also controlled by other splicing regulators, our data begin to provide insights into an AS network in Arabidopsis.

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