Exploring the unmapped DNA and RNA reads in a songbird genome

Veronika N Laine (Corresponding author), Toni I Gossmann, Kees van Oers, Marcel E Visser, Martien A M Groenen

Research output: Contribution to journal/periodicalArticleScientificpeer-review

86 Downloads (Pure)

Abstract

BACKGROUND: A widely used approach in next-generation sequencing projects is the alignment of reads to a reference genome. Despite methodological and hardware improvements which have enhanced the efficiency and accuracy of alignments, a significant percentage of reads frequently remain unmapped. Usually, unmapped reads are discarded from the analysis process, but significant biological information and insights can be uncovered from these data. We explored the unmapped DNA (normal and bisulfite treated) and RNA sequence reads of the great tit (Parus major) reference genome individual. From the unmapped reads we generated de novo assemblies, after which the generated sequence contigs were aligned to the NCBI non-redundant nucleotide database using BLAST, identifying the closest known matching sequence.

RESULTS: Many of the aligned contigs showed sequence similarity to different bird species and genes that were absent in the great tit reference assembly. Furthermore, there were also contigs that represented known P. major pathogenic species. Most interesting were several species of blood parasites such as Plasmodium and Trypanosoma.

CONCLUSIONS: Our analyses revealed that meaningful biological information can be found when further exploring unmapped reads. For instance, it is possible to discover sequences that are either absent or misassembled in the reference genome, and sequences that indicate infection or sample contamination. In this study we also propose strategies to aid the capture and interpretation of this information from unmapped reads.

Original languageEnglish
Article number19
JournalBMC Genomics
Volume20
Issue number1
DOIs
Publication statusPublished - 08 Jan 2019

    Fingerprint

Bibliographical note

6685, AnE; Data Archiving: Data archived at: SRA repository. We used data already available in SRA repository (samples in BioProject PRJNA208335) and also generated new sequence datasets: SRA accession for blood RNA SRR7540238 and GenBank accession number for the assembled mitochondria MH638304.

Keywords

  • international

Cite this