High-throughput sequencing data and the impact of plant gene annotation quality

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

Sammanfattning

The use of draft genomes of different species and re-sequencing of accessions and populations are now a common tool for plant biology research. The de novo assembled draft genomes make it possible to identify pivotal divergence points in the plant lineage and provide an opportunity to investigate the genomic basis and timing of biological innovations by inferring orthologs between species. Furthermore, re-sequencing facilitates the mapping and subsequent molecular characterization of causative loci for traits including plant stress tolerance or development. In both cases high quality gene annotation, the identification of protein-coding regions, gene promoters and 5’ and 3’ untranslated regions, is critical for investigation of gene function. Annotations are constantly improving but automated gene annotations still require manual curation and experimental validation. This is particularly important for genes with large introns, genes located in regions rich with transposable elements or repeats, large gene families and segmentally duplicated genes. In this opinion paper we highlight the impact of annotation quality on evolutionary analyses, genome-wide association studies and the identification of orthologous genes in plants. Furthermore, we predict that incorporating the accurate information from manual curation into databases will dramatically improve the performance of automated gene predictors.
Originalspråkengelska
Artikelnummerery43
TidskriftJournal of Experimental Botany
Volym70
Utgåva4
Sidor (från-till)1069-1076
Antal sidor8
ISSN0022-0957
DOI
StatusPublicerad - 1 feb 2019
MoE-publikationstypA1 Tidskriftsartikel-refererad

Vetenskapsgrenar

  • 1183 Växtbiologi, mikrobiologi, virologi

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title = "High-throughput sequencing data and the impact of plant gene annotation quality",
abstract = "The use of draft genomes of different species and re-sequencing of accessions and populations are now a common tool for plant biology research. The de novo assembled draft genomes make it possible to identify pivotal divergence points in the plant lineage and provide an opportunity to investigate the genomic basis and timing of biological innovations by inferring orthologs between species. Furthermore, re-sequencing facilitates the mapping and subsequent molecular characterization of causative loci for traits including plant stress tolerance or development. In both cases high quality gene annotation, the identification of protein-coding regions, gene promoters and 5’ and 3’ untranslated regions, is critical for investigation of gene function. Annotations are constantly improving but automated gene annotations still require manual curation and experimental validation. This is particularly important for genes with large introns, genes located in regions rich with transposable elements or repeats, large gene families and segmentally duplicated genes. In this opinion paper we highlight the impact of annotation quality on evolutionary analyses, genome-wide association studies and the identification of orthologous genes in plants. Furthermore, we predict that incorporating the accurate information from manual curation into databases will dramatically improve the performance of automated gene predictors.",
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High-throughput sequencing data and the impact of plant gene annotation quality. / Vaattovaara, Aleksia Fanni Maria; Leppälä, Johanna Maria; Salojärvi, Jarkko Tapani; Wrzaczek, Michael Alois.

I: Journal of Experimental Botany, Vol. 70, Nr. 4, ery43, 01.02.2019, s. 1069-1076.

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

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T1 - High-throughput sequencing data and the impact of plant gene annotation quality

AU - Vaattovaara, Aleksia Fanni Maria

AU - Leppälä, Johanna Maria

AU - Salojärvi, Jarkko Tapani

AU - Wrzaczek, Michael Alois

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N2 - The use of draft genomes of different species and re-sequencing of accessions and populations are now a common tool for plant biology research. The de novo assembled draft genomes make it possible to identify pivotal divergence points in the plant lineage and provide an opportunity to investigate the genomic basis and timing of biological innovations by inferring orthologs between species. Furthermore, re-sequencing facilitates the mapping and subsequent molecular characterization of causative loci for traits including plant stress tolerance or development. In both cases high quality gene annotation, the identification of protein-coding regions, gene promoters and 5’ and 3’ untranslated regions, is critical for investigation of gene function. Annotations are constantly improving but automated gene annotations still require manual curation and experimental validation. This is particularly important for genes with large introns, genes located in regions rich with transposable elements or repeats, large gene families and segmentally duplicated genes. In this opinion paper we highlight the impact of annotation quality on evolutionary analyses, genome-wide association studies and the identification of orthologous genes in plants. Furthermore, we predict that incorporating the accurate information from manual curation into databases will dramatically improve the performance of automated gene predictors.

AB - The use of draft genomes of different species and re-sequencing of accessions and populations are now a common tool for plant biology research. The de novo assembled draft genomes make it possible to identify pivotal divergence points in the plant lineage and provide an opportunity to investigate the genomic basis and timing of biological innovations by inferring orthologs between species. Furthermore, re-sequencing facilitates the mapping and subsequent molecular characterization of causative loci for traits including plant stress tolerance or development. In both cases high quality gene annotation, the identification of protein-coding regions, gene promoters and 5’ and 3’ untranslated regions, is critical for investigation of gene function. Annotations are constantly improving but automated gene annotations still require manual curation and experimental validation. This is particularly important for genes with large introns, genes located in regions rich with transposable elements or repeats, large gene families and segmentally duplicated genes. In this opinion paper we highlight the impact of annotation quality on evolutionary analyses, genome-wide association studies and the identification of orthologous genes in plants. Furthermore, we predict that incorporating the accurate information from manual curation into databases will dramatically improve the performance of automated gene predictors.

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