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Genomic architecture of haddock (Melanogrammus aeglefinus) shows expansions of innate immune genes and short tandem repeats
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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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Evolutionary Analysis of Amino Acid Repeats across the Genomes of 12 Drosophila Species
Huntley, M. A., & Clark, A. G. (2007) · Molecular Biology and Evolution · doi:10.1093/molbev/msm129 · Cited by 78
Microsatellites as Targets of Natural Selection
Haasl, R. J., & Payseur, B. A. (2012) · Molecular Biology and Evolution · doi:10.1093/molbev/mss247 · Cited by 76
Solbakken, M. H., Tørresen, O. K., Nederbragt, A. J., Seppola, M., Gregers, T. F., Jakobsen, K. S., & Jentoft, S. (2016) · Scientific Reports · doi:10.1038/srep25211 · Cited by 72
Self-citationEvolution of the Ras-like small GTPases and their regulators
van Dam, T. J. P., Bos, J. L., & Snel, . (2011) · Small GTPases · doi:10.4161/sgtp.2.1.15113 · Cited by 70
GOATOOLS: Tools for Gene Ontology
Klopfenstein, D. V., Tang, H., Ramirez, F., Botvinnik, O. B., Pedersen, B. S., Flick, P., 建太), K. S. (., Mungall, C., Schmitt, U., Stupp, G. S., et al. (2015) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.594183 · Cited by 64
Genome-Wide Analysis of Tandem Repeats in Plants and Green Algae
Zhao, Z., Guo, C., Sreeskandarajan, S., Li, P., Echt, C. S., Zhang, J., & Liang, C. (2013) · G3 Genes Genomes Genetics · doi:10.1534/g3.113.008524 · Cited by 63
Signaling by small GTPases in the immune system
Scheele, J. S., Marks, R., & Boss, G. R. (2007) · Immunological Reviews · doi:10.1111/j.1600-065x.2007.00530.x · Cited by 60
Using optical mapping data for the improvement of vertebrate genome assemblies
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Adams, R. H., Blackmon, H., Reyes-Velasco, J., Schield, D. R., Card, D. C., Andrew, A. L., Waynewood, N., & Castoe, T. A. (2016) · Genome · doi:10.1139/gen-2015-0124 · Cited by 50
Unraveling the Evolution of the Atlantic Cod’s (Gadus morhua L.) Alternative Immune Strategy
Malmstrøm, M., Jentoft, S., Gregers, T. F., & Jakobsen, K. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074004 · Cited by 49
Self-citationDiverse roles of guanine nucleotide exchange factors in regulating collective cell migration
Zaritsky, A., Tseng, Y., Rabadán, M. A., Krishna, S., Overholtzer, M., Danuser, G. M., & Hall, A. (2017) · The Journal of Cell Biology · doi:10.1083/jcb.201609095 · Cited by 49
Expansion and contraction of major histocompatibility complex genes: a teleostean example
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Genome-Wide Analysis of Simple Sequence Repeats in Marine Animals—a Comparative Approach
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popSTR: population-scale detection of STR variants
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Solbakken, M. H., Voje, K. L., Jakobsen, K. S., & Jentoft, S. (2017) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2016.2810 · Cited by 31
Self-citationSuccessive Losses of Central Immune Genes Characterize the Gadiformes’ Alternate Immunity
Solbakken, M. H., Rise, M. L., Jakobsen, K. S., & Jentoft, S. (2016) · Genome Biology and Evolution · doi:10.1093/gbe/evw250 · Cited by 26
Self-citationVij, S., Kuhl, H., Kuznetsova, I. S., Komissarov, A. S., Yurchenko, A. A., Heusden, P. V., Singh, S., Thevasagayam, N. M., Prakki, S. R. S., Purushothaman, K., et al. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1006500 · Cited by 26
Age-structure, harvesting and climate effects on population growth of Arcto-boreal fish stocks
Durant, J. M., & Hjermann, D. (2017) · Marine Ecology Progress Series · doi:10.3354/meps12210 · Cited by 20
Singh, D. T., Trehan, R., Schmidt, B., & Bretschneider, T. R. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-s1-s23 · Cited by 17
Malmstrøm, M., Jentoft, S., Gregers, T. F., & Jakobsen, K. S. (2013) · PLoS ONE · doi:10.1371/annotation/18b70612-fd3d-46ce-a04b-652d18c82d5b · Cited by 14
Self-citationA chromosome-level genome assembly of the Asian arowana, Scleropages formosus
Li, J., Bian, C., Hu, Y., Mu, X., Shen, X., Ravi, V., Kuznetsova, I. S., Sun, Y., You, X., Qiu, Y., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.105 · Cited by 13
Ultra Large Gene Families: A Matter of Adaptation or Genomic Parasites?
Schiffer, P. H., Gravemeyer, J., Rauscher, M., & Wiehe, T. (2016) · Life · doi:10.3390/life6030032 · Cited by 11
Spatial and temporal microsatellite variation in spawning Atlantic cod,Gadus morhua, around Iceland
Eiríksson, G. M., & Árnason, E. (2013) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/cjfas-2012-0494 · Cited by 8
Star, B., Hansen, M. H., Skage, M., Bradbury, I. R., Godiksen, J. A., Kjesbu, O. S., & Jentoft, S. (2016) · STAR: Science & Technology of Archaeological Research · doi:10.1080/20548923.2016.1160594 · Cited by 8
Self-citation
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
Self-citation
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)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.