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Tandem repeats lead to sequence assembly errors and impose multi-level challenges for genome and protein databases

Tørresen, Ole K and Star, Bastiaan and Mier, Pablo and Andrade-Navarro, Miguel A and Bateman, Alex and Jarnot, Patryk and Gruca, Aleksandra and Grynberg, Marcin and Kajava, Andrey V and Promponas, Vasilis J and Anisimova, Maria and Jakobsen, Kjetill S and Linke, Dirk (2019) Tandem repeats lead to sequence assembly errors and impose multi-level challenges for genome and protein databases. Nucleic Acids Research, 47 (21). pp. 10994-11006. ISSN 0305-1048

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Official URL: http://doi.org/10.1093/nar/gkz841

Abstract

The widespread occurrence of repetitive stretches of DNA in genomes of organisms across the tree of life imposes fundamental challenges for sequencing, genome assembly, and automated annotation of genes and proteins. This multi-level problem can lead to errors in genome and protein databases that are often not recognized or acknowledged. As a consequence, end users working with sequences with repetitive regions are faced with 'ready-to-use' deposited data whose trustworthiness is difficult to determine, let alone to quantify. Here, we provide a review of the problems associated with tandem repeat sequences that originate from different stages during the sequencing-assembly-annotation-deposition workflow, and that may proliferate in public database repositories affecting all downstream analyses. As a case study, we provide examples of the Atlantic cod genome, whose sequencing and assembly were hindered by a particularly high prevalence of tandem repeats. We complement this case study with examples from other species, where mis-annotations and sequencing errors have propagated into protein databases. With this review, we aim to raise the awareness level within the community of database users, and alert scientists working in the underlying workflow of database creation that the data they omit or improperly assemble may well contain important biological information valuable to others.

Item Type:Article
Subjects:Q Science > Q Science (General)
Q Science > QA Mathematics > QA76 Computer software
ID Code:1791
Deposited By: Marcin Grynberg
Deposited On:10 Dec 2019 16:27
Last Modified:10 Dec 2019 16:27

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