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Genomic architecture of haddock (Melanogrammus aeglefinus) shows expansions of innate immune genes and short tandem repeats
Published version of a preprint
Abstract
BACKGROUND: Increased availability of genome assemblies for non-model organisms has resulted in invaluable biological and genomic insight into numerous vertebrates, including teleosts. Sequencing of the Atlantic cod (Gadus morhua) genome and the genomes of many of its relatives (Gadiformes) demonstrated a shared loss of the major histocompatibility complex (MHC) II genes 100 million years ago. An improved version of the Atlantic cod genome assembly shows an extreme density of tandem repeats compared to other vertebrate genome assemblies. Highly contiguous assemblies are therefore needed to further investigate the unusual immune system of the Gadiformes, and whether the high density of tandem repeats found in Atlantic cod is a shared trait in this group. RESULTS: Here, we have sequenced and assembled the genome of haddock (Melanogrammus aeglefinus) - a relative of Atlantic cod - using a combination of PacBio and Illumina reads. Comparative analyses reveal that the haddock genome contains an even higher density of tandem repeats outside and within protein coding sequences than Atlantic cod. Further, both species show an elevated number of tandem repeats in genes mainly involved in signal transduction compared to other teleosts. A characterization of the immune gene repertoire demonstrates a substantial expansion of MCHI in Atlantic cod compared to haddock. In contrast, the Toll-like receptors show a similar pattern of gene losses and expansions. For the NOD-like receptors (NLRs), another gene family associated with the innate immune system, we find a large expansion common to all teleosts, with possible lineage-specific expansions in zebrafish, stickleback and the codfishes. CONCLUSIONS: The generation of a highly contiguous genome assembly of haddock revealed that the high density of short tandem repeats as well as expanded immune gene families is not unique to Atlantic cod - but possibly a feature common to all, or most, codfishes. A shared expansion of NLR genes in teleosts suggests that the NLRs have a more substantial role in the innate immunity of teleosts than other vertebrates. Moreover, we find that high copy number genes combined with variable genome assembly qualities may impede complete characterization of these genes, i.e. the number of NLRs in different teleost species might be underestimates.
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![Fig. 2 NACHT and FISNA domains content in predicted proteins and genome assemblies for the different species. HMMER hits had to be > 75% of the length of the domain to be reported here. Some species have scaffolds ordered and organized into chromosomes/linkage groups, i.e., placed. For these species the number of domains found in placed scaffolds are also reported. The phylogenetic relationship between the species is based on Malmstrøm et al. [9]. NA: Not applicable](/paper-figures/181efab5fc474afd8fe82829e1626a2e/genomic-architecture-of-haddock-melanogrammus-aeglefinus-shows-expansions-of-figure-2.jpg)




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“Another gene family that greatly expanded in teleost fish are the nod-like receptor (NLR) genes (74,75), genes encoding proteins active in the innate immune system.”
From Tandem repeats lead to sequence assembly errors and impose multi-level challenges for genome and protein databases (2019) · cites this paper as [74]
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Full-length transcriptome assembly from RNA-Seq data without a reference genome
Grabherr, M. G., Haas, B. J., Yassour, M., Levin, J. Z., Thompson, D. A., Amit, I., Adiconis, X., Fan, L., Raychowdhury, R., Zeng, Q., et al. (2011) · Nature Biotechnology · doi:10.1038/nbt.1883 · Cited by 21,039
FLASH: fast length adjustment of short reads to improve genome assemblies
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Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs
Simão, F. A., Waterhouse, R. M., Ioannidis, P., Kriventseva, E. V., & Zdobnov, E. M. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv351 · Cited by 13,344
Wickham, H. (2016) · Use R! · doi:10.1007/978-3-319-24277-4_9 · Cited by 12,516
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Benjamini, Y., & Yekutieli, D. (2001) · The Annals of Statistics · doi:10.1214/aos/1013699998 · Cited by 10,490
Cited by
Tørresen, O. K., Star, B., Mier, P., Andrade-Navarro, M. A., Bateman, A., Jarnot, P., Gruca, A., Grynberg, M., Kajava, A. V., Promponas, V. J., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz841 · Cited by 347
Self-citationBaalsrud, H. T., Tørresen, O. K., Solbakken, M. H., Salzburger, W., Hanel, R., Jakobsen, K. S., & Jentoft, S. (2018) · Molecular Biology and Evolution · doi:10.1093/molbev/msx311 · Cited by 116
Self-citationTeleost genomic repeat landscapes in light of diversification rates and ecology
Reinar, W. B., Tørresen, O. K., Nederbragt, A. J., Matschiner, M., Jentoft, S., & Jakobsen, K. S. (2023) · Mobile DNA · doi:10.1186/s13100-023-00302-9 · Cited by 28
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Metadata
- Authors
- Tørresen, O. K., Brieuc, M. S. O., Solbakken, M. H., Sørhus, E., Nederbragt, A. J., Jakobsen, K. S., Meier, S., Edvardsen, R. B., & Jentoft, S.
- Venue
- BMC Genomics
- Published
- 2018-04-10
- Volume
- 19
- Issue
- 1
- ISSN
- 1471-2164
- PMC
- PMC5894186
- Cited by
- 46
- References
- 120
- Language
- en
- Licence
- creativecommons.org/licenses/by/4.0/ (tdm)
- Funders
- Norges Forskningsråd (#222378/F20, #234367/E40)
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