Compact genome of the Antarctic midge is likely an adaptation to an extreme environment
Open accessAbstract
The midge, Belgica antarctica, is the only insect endemic to Antarctica, and thus it offers a powerful model for probing responses to extreme temperatures, freeze tolerance, dehydration, osmotic stress, ultraviolet radiation and other forms of environmental stress. Here we present the first genome assembly of an extremophile, the first dipteran in the family Chironomidae, and the first Antarctic eukaryote to be sequenced. At 99 megabases, B. antarctica has the smallest insect genome sequenced thus far. Although it has a similar number of genes as other Diptera, the midge genome has very low repeat density and a reduction in intron length. Environmental extremes appear to constrain genome architecture, not gene content. The few transposable elements present are mainly ancient, inactive retroelements. An abundance of genes associated with development, regulation of metabolism and responses to external stimuli may reflect adaptations for surviving in this harsh environment. The Antarctic midge, Belgica antarctica, is the only insect endemic to Antarctica. Here, the authors sequence the B. antarcticagenome, the smallest insect genome yet reported, and suggest that genes involved in development, metabolism and stimuli response may have had a role in how this insect adapted to survive in such a harsh environment.
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Genome compaction has been documented across diverse vertebrate and invertebrate lineages irrespective of body size, with compact genomes consistently showing predictable signatures of repeat depletion and structural simplification.
“Genome compaction has been documented across diverse vertebrate and invertebrate lineages irrespective of body size, with compact genomes consistently showing predictable signatures of repeat depletion and structural simplification (e.g., refs. 31, 55, and 56).”
From Convergent genome streamlining accompanies independent miniaturization in the world’s smallest fishes (2026) · cites this paper as [55]
The Results link the Antarctic midge’s compact genome to fewer repeats and transposable elements and shorter introns. The Discussion reports similar reductions in non-genic DNA in a plant and a pufferfish. These examples support compaction in more than one lineage, but the paper does not establish that the pattern is consistent across diverse vertebrates and invertebrates or independent of body size. (LLM, conf=0.85)
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Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556 · see citing works
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Research works printed but not linked: 59
- Teets N. M. & Denlinger D. L. Surviving in a frozen desert: Environmental stress physiology of terrestrial Antarctic arthropods. J. Exp. Biol. 217, 84– 93 (2014). 24353207
- Elnitsky M. A., Benoit J. B., Lopez-Martinez G., Denlinger D. L. & Lee R. E. Jr. Osmoregulation and salinity tolerance in the Antarctic midge, Belgica antarctica: seawater exposure confers enhanced tolerance to freezing and dehydration. J. Exp. Biol. 212, 2864– 2871 (2009). 19684222
- Lopez-Martinez G., Elnitsky M. A., Benoit J. B., Lee R. E. Jr. & Denlinger D. L. High resistance to oxidative damage in the Antarctic midge Belgica antarctica, and developmentally linked expression of genes encoding superoxide dismutase, catalase and heat shock proteins. Insect. Biochem. Mol. Biol. 38, 796– 804 (2008). 18625403
- Rinehart J. P. et al. Continuous up-regulation of heat shock proteins in larvae, but not adults, of a polar insect. Proc. Natl Acad. Sci. USA 103, 14223– 14227 (2006). 16968769 PMC1599938
- Lopez-Martinez G. et al. Dehydration, rehydration, and overhydration alter patterns of gene expression in the Antarctic midge, Belgica antarctica. J. Comp. Physiol. B 179, 481– 491 (2009). 19125254
- Teets N. M. et al. Gene expression changes governing extreme dehydration tolerance in an Antarctic insect. Proc. Natl. Acad. Sci. USA 109, 20744– 20749 (2012). 23197828 PMC3528566
- Goto S. G. et al. Functional characterization of an aquaporin in the Antarctic midge Belgica antarctica. J. Insect. Physiol. 57, 1106– 1114 (2011). 21497603
- Buckley B. A., Place S. P. & Hofmann G. E. Regulation of heat shock genes in isolated hepatocytes from an Antarctic fish, Trematomus bernacchii. J. Exp. Biol. 207, 3649– 3656 (2004). 15371473
- Hofmann G. E., Buckley B. A., Airaksinen S., Keen J. E. & Somero G. N. Heat-shock protein expression is absent in the antarctic fish Trematomus bernacchii (family Nototheniidae). J. Exp. Biol. 203, 2331– 2339 (2000). 10887071
- Zerbino D. R. & Birney E. Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res. 18, 821– 829 (2008). 18349386 PMC2336801
- Johnston J. S., Ross L. D., Beani L., Hughes D. P. & Kathirithamby J. Tiny genomes and endoreduplication in Strepsiptera. Insect. Mol. Biol. 13, 581– 585 (2004). 15606806
- Kirkness E. F. et al. Genome sequences of the human body louse and its primary endosymbiont provide insights into the permanent parasitic lifestyle. Proc. Natl. Acad. Sci. USA 107, 12168– 12173 (2010). 20566863 PMC2901460
- Hessen D. O., Daufresne M. & Leinaas H. P. Temperature-size relations from the cellular-genomic perspective. Biol. Rev. Camb. Philos. Soc. 88, 476– 489 (2013). 23551915
- Schmidt-Ott U., Rafiqi A. M., Sander K. & Johnston J. S. Extremely small genomes in two unrelated dipteran insects with shared early developmental traits. Dev. Genes Evol. 219, 207– 210 (2009). 19308443
- Biemont C. Genome size evolution: within-species variation in genome size. Heredity (Edinb) 101, 297– 298 (2008). 18665185
- Nene V. et al. Genome sequence of Aedes aegypti, a major arbovirus vector. Science 316, 1718– 1723 (2007). 17510324 PMC2868357
- Sharakhova M. V. et al. Update of the Anopheles gambiae PEST genome assembly. Genome Biol. 8, R5 (2007). 17210077 PMC1839121
- Arensburger P. et al. Sequencing of Culex quinquefasciatus establishes a platform for mosquito comparative genomics. Science 330, 86– 88 (2010). 20929810 PMC3740384
- Quesneville H. et al. Combined evidence annotation of transposable elements in genome sequences. PLoS Comput. Biol. 1, 166– 175 (2005). 16110336 PMC1185648
- Adams M. D. et al. The genome sequence of Drosophila melanogaster. Science 287, 2185– 2195 (2000). 10731132
- Jakubczak J. L., Burke W. D. & Eickbush T. H. Retrotransposable elements R1 and R2 interrupt the rRNA genes of most insects. Proc. Natl Acad. Sci. USA 88, 3295– 3299 (1991). 1849649 PMC51433
- Li L., Stoeckert C. J. Jr. & Roos D. S. OrthoMCL: identification of ortholog groups for eukaryotic genomes. Genome Res. 13, 2178– 2189 (2003). 12952885 PMC403725
- Brennecke J. et al. Discrete small RNA-generating loci as master regulators of transposon activity in Drosophila. Cell 128, 1089– 1103 (2007). 17346786
- Conesa A. et al. Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research. Bioinformatics 21, 3674– 3676 (2005). 16081474
- Haag-Liautard C. et al. Direct estimation of per nucleotide and genomic deleterious mutation rates in Drosophila. Nature 445, 82– 85 (2007). 17203060
- Li H. & Durbin R. Inference of human population history from individual whole-genome sequences. Nature 475, 493– 496 (2011). 21753753 PMC3154645
- Ibarra-Laclette E. et al. Architecture and evolution of a minute plant genome. Nature 498, 94– 98 (2013). 23665961 PMC4972453
- Roest Crollius H. et al. Characterization and repeat analysis of the compact genome of the freshwater pufferfish Tetraodon nigroviridis. Genome Res. 10, 939– 949 (2000). 10899143 PMC310905
- Cridland J. M., Macdonald S. J., Long A. D. & Thornton K. R. Abundance and distribution of transposable elements in two Drosophila QTL mapping resources. Mol. Biol. Evol. 30, 2311– 2327 (2013). 23883524 PMC3773372
- Robertson H. M. & Lampe D. J. Distribution of transposable elements in arthropods. Annu. Rev. Entomol. 40, 333– 357 (1995). 7529010
- Specchia V. et al. Hsp90 prevents phenotypic variation by suppressing the mutagenic activity of transposons. Nature 463, 662– 665 (2010). 20062045
- Cornette R. et al. Identification of anhydrobiosis-related genes from an expressed sequence tag database in the cryptobiotic midge Polypedilum vanderplanki (Diptera; Chironomidae). J. Biol. Chem. 285, 35889– 35899 (2010). 20833722 PMC2975212
- Lynch M. The origins of eukaryotic gene structure. Mol. Biol. Evol. 23, 450– 468 (2006). 16280547
- Hare E. E. & Johnston J. S. Genome size determination using flow cytometry of propidium iodide-stained nuclei. Methods Mol. Biol. 772, 3– 12 (2011). 22065429
- Mortazavi A. et al. Scaffolding a Caenorhabditis nematode genome with RNA-seq. Genome Res. 20, 1740– 1747 (2010). 20980554 PMC2990000
- Li H. & Durbin R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25, 1754– 1760 (2009). 19451168 PMC2705234
- English A. C. et al. Mind the gap: upgrading genomes with Pacific Biosciences RS long-read sequencing technology. PLoS ONE 7, e47768 (2012). 23185243 PMC3504050
- Barnett D. W., Garrison E. K., Quinlan A. R., Stromberg M. P. & Marth G. T. BamTools: a C++ API and toolkit for analyzing and managing BAM files. Bioinformatics 27, 1691– 1692 (2011). 21493652 PMC3106182
- Langmead B., Trapnell C., Pop M. & Salzberg S. L. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol. 10, R25 (2009). 19261174 PMC2690996
- Fiston-Lavier A. S., Vejnar C. E. & Quesneville H. Transposable sequence evolution is driven by gene context. Preprint at arXiv:12090176 [q-bioGN] (2012).
- Fiston-Lavier A. S., Carrigan M., Petrov D. A. & Gonzalez J. T-lex: a program for fast and accurate assessment of transposable element presence using next-generation sequencing data. Nucleic Acids Res. 39, e36 (2011). 21177644 PMC3064797
- Smith C. D. et al. Improved repeat identification and masking in Dipterans. Gene 389, 1– 9 (2007). 17137733 PMC1945102
- Li R. et al. ReAS: recovery of ancestral sequences for transposable elements from the unassembled reads of a whole genome shotgun. PLoS Comput. Biol. 1, e43 (2005). 16184192 PMC1232128
- Haas B. J. et al. De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis. Nat. Protoc. 8, 1494– 1512 (2013). 23845962 PMC3875132
- Cantarel B. L. et al. MAKER: an easy-to-use annotation pipeline designed for emerging model organism genomes. Genome Res. 18, 188– 196 (2008). 18025269 PMC2134774
- McQuilton P. St, Pierre S. E. & Thurmond J. Consortium F. FlyBase 101–the basics of navigating FlyBase. Nucleic Acids Res. 40, D706– D714 (2012). 22127867 PMC3245098
- Megy K. et al. VectorBase: improvements to a bioinformatics resource for invertebrate vector genomics. Nucleic Acids Res. 40, D729– D734 (2012). 22135296 PMC3245112
- Korf I. Gene finding in novel genomes. BMC Bioinformatics 5, 59 (2004). 15144565 PMC421630
- Stanke M. et al. AUGUSTUS: ab initio prediction of alternative transcripts. Nucleic Acids Res. 34, W435– W439 (2006). 16845043 PMC1538822
- Conesa A. & Gotz S. Blast2GO: a comprehensive suite for functional analysis in plant genomics. Int. J. Plant Genomics 2008, 619832 (2008). 18483572 PMC2375974
- Consortium TU. Reorganizing the protein space at the Universal Protein Resource (UniProt). Nucleic Acids Res. 40, D71– D75 (2012). 22102590 PMC3245120
- Burge S. et al. Manual GO annotation of predictive protein signatures: the InterPro approach to GO curation. Database (Oxford) 2012, bar068 (2012). 22301074 PMC3270475
- Parra G., Bradnam K. & Korf I. CEGMA: a pipeline to accurately annotate core genes in eukaryotic genomes. Bioinformatics 23, 1061– 1067 (2007). 17332020
- Lowe T. M. & Eddy S. R. tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res. 25, 955– 964 (1997). 9023104 PMC146525
- Laslett D. & Canback B. ARAGORN, a program to detect tRNA genes and tmRNA genes in nucleotide sequences. Nucleic Acids Res. 32, 11– 16 (2004). 14704338 PMC373265
- Holt R. A. et al. The genome sequence of the malaria mosquito Anopheles gambiae. Science 298, 129– 149 (2002). 12364791
- Novembre J. A. Accounting for background nucleotide composition when measuring codon usage bias. Mol. Biol. Evol. 19, 1390– 1394 (2002). 12140252
- McKenna A. et al. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 20, 1297– 1303 (2010). 20644199 PMC2928508
- DePristo M. A. et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat. Genet. 43, 491– 498 (2011). 21478889 PMC3083463
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- Authors
- Kelley, J. L., Peyton, J. T., Fiston-Lavier, A.-S., Teets, N. M., Yee, M.-C., Johnston, J. S., Bustamante, C. D., Lee, R. E., & Denlinger, D. L.
- Affiliations
- Washington State University (US)
- The Ohio State University (US)
- Centre National de la Recherche Scientifique (FR)
- University of Florida (US)
- Carnegie Institution for Science (US)
- Texas A&M University (US)
- Stanford University (US)
- Corresponding author
- Kelley, Joanna L.
- Denlinger, David L.
- ORCID
- Venue
- Nature Communications
- Published
- 2014-08-12
- Volume
- 5
- Issue
- 1
- Pages
- 4611-4611
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC4164542
- OpenAlex
- W2104602847
- Cited by
- 171
- References
- 1
- Citations by year
- 2026: 8 · 2025: 14 · 2024: 20 · 2023: 12 · 2022: 19 · 2021: 17 · 2020: 13 · 2019: 21 · 2018: 9 · 2017: 11 · 2016: 7 · 2015: 17 · 2014: 3
- FWCI
- 10.12
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature Communications (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by-nc-sa)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- OakTrust (Texas A&M University Libraries) (submittedVersion)
- Scholarly Commons - MU (Miami University) (submittedVersion)
- Funders
- National Science Foundation (0837559, 0837613)
- National Institutes of Health
- National Institute of General Medical Sciences (NIH NRSA GM087069, F32GM087069)
- Topics
- Physical Sciences › Environmental Science › Ecology › Polar Research and Ecology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Chromosomal and Genetic Variations
- Keywords
- Belgica antarctica, genome assembly, compact genome, genome size reduction, extremophile adaptation, freezing tolerance, dehydration, osmotic stress, ultraviolet radiation, transposable elements, retrotransposons, intron length, repeat content, Chironomidae, Diptera, gene content
- MeSH terms
- Acclimatization, Adaptation, Physiological, Animals, Antarctic Regions, Chironomidae, Cold Temperature, DNA, Environment, Multigene Family, Introns, Genes, Insect, Genome, Insect
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