Highly contiguous assemblies of 101 drosophilid genomes
Abstract
Over 100 years of studies in Drosophila melanogaster and related species in the genus Drosophila have facilitated key discoveries in genetics, genomics, and evolution. While high-quality genome assemblies exist for several species in this group, they only encompass a small fraction of the genus. Recent advances in long-read sequencing allow high-quality genome assemblies for tens or even hundreds of species to be efficiently generated. Here, we utilize Oxford Nanopore sequencing to build an open community resource of genome assemblies for 101 lines of 93 drosophilid species encompassing 14 species groups and 35 sub-groups. The genomes are highly contiguous and complete, with an average contig N50 of 10.5 Mb and greater than 97% BUSCO completeness in 97/101 assemblies. We show that Nanopore-based assemblies are highly accurate in coding regions, particularly with respect to coding insertions and deletions. These assemblies, along with a detailed laboratory protocol and assembly pipelines, are released as a public resource and will serve as a starting point for addressing broad questions of genetics, ecology, and evolution at the scale of hundreds of species.
Data availability
All sequencing data and assemblies generated by this study are deposited at NCBI SRA and GenBank under NCBI BioProject PRJNA675888. Accession numbers for all data used but not generated by this study are provided in the supporting files. Dockerfiles and scripts for reproducing pipelines and analyses are provided on GitHub (https://github.com/flyseq/drosophila_assembly_pipelines). A detailed wet lab protocol is provided at Protocols.io (https://dx.doi.org/10.17504/protocols.io.bdfqi3mw).
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Nanopore-based assembly of many drosophilid genomesNCBI BioProject, PRJNA675888.
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Sequencing and assembly of 14 Drosophila speciesNCBI BioProject, ID: 427774.
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modENCODE Drosophila reference genome sequencing (fruit flies)NCBI BioProject, ID: 62477.
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Drosophila montium Species Group Genomes ProjectNCBI BioProject, ID: 554346.
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Invertebrate sample from Drosophila repletaNCBI BioProject, ID: 476692.
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Genome sequences of 10 Drosophila speciesNCBI BioProject, ID: 322011.
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Raw genomic sequencing data from 16 Drosophila speciesNCBI BioProject, ID: 550077.
Article and author information
Author details
Funding
National Institute of General Medical Sciences (F32GM135998)
- Bernard Y Kim
National Institute of General Medical Sciences (R35GM119816)
- Noah K Whiteman
Uehara Memorial Foundation (201931028)
- Teruyuki Matsunaga
Ministry of Education, Science and Technological Development of the Republic of Serbia (451-03-68/2020-14/200178)
- Marina Stamenković-Radak
- Mihailo Jelić
- Marija Savić Veselinović
Ministry of Education, Science and Technological Development of the Republic of Serbia (451-03-68/2020-14/200007)
- Marija Tanasković
- Pavle Erić
National Natural Science Foundation of China (32060112)
- Jian-Jun Gao
Japan Society for the Promotion of Science (JP18K06383)
- Masayoshi Watada
European Union Horizon 2020 Research and Innovation Program (765937-CINCHRON)
- Giulia Manoli
- Enrico Bertolini
Czech Science Foundation (19-13381S)
- Vladimír Košťál
Japan Society for the Promotion of Science (JP19H03276)
- Aya Takahashi
National Science Foundation (1345247)
- Donald K Price
National Institute of General Medical Sciences (R35GM118165)
- Dmitri A Petrov
National Institute of Diabetes and Digestive and Kidney Diseases (K01DK119582)
- Jeremy Wang
National Science Foundation (DEB-1457707)
- Corbin D Jones
National Institute of General Medical Sciences (R01GM121750)
- Daniel R Matute
National Institute of General Medical Sciences (R01GM125715)
- Daniel R Matute
Google Cloud Platform Research Credits
- Bernard Y Kim
Google Cloud Platform Research Credits
- Jeremy Wang
National Institute of General Medical Sciences (R35GM122592)
- Artyom Kopp
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2021, Kim et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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Further reading
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- Evolutionary Biology
Life-history theory, central to our understanding of diversity in morphology, behaviour, and senescence, describes how traits evolve through the optimisation of trade-offs in investment. Despite considerable study, there is only minimal support for trade-offs within species between the two traits most closely linked to fitness – reproductive effort and survival – questioning the theory’s general validity. We used a meta-analysis to separate the effects of individual quality (positive survival/reproduction correlation) from the costs of reproduction (negative survival/reproduction correlation) using studies of reproductive effort and parental survival in birds. Experimental enlargement of brood size caused reduced parental survival. However, the effect size of brood size manipulation was small and opposite to the effect of phenotypic quality, as we found that individuals that naturally produced larger clutches also survived better. The opposite effects on parental survival in experimental and observational studies of reproductive effort provide the first meta-analytic evidence for theory suggesting that quality differences mask trade-offs. Fitness projections using the overall effect size revealed that reproduction presented negligible costs, except when reproductive effort was forced beyond the maximum level observed within species, to that seen between species. We conclude that there is little support for the most fundamental life-history trade-off, between reproductive effort and survival, operating within a population. We suggest that within species the fitness landscape of the reproduction–survival trade-off is flat until it reaches the boundaries of the between-species fast–slow life-history continuum. Our results provide a quantitative explanation as to why the costs of reproduction are not apparent and why variation in reproductive effort persists within species.