Browsing by Author "Alekseyev, Max A."
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- Chromosome-level genome assemblies of the malaria vectors Anopheles coluzzii and Anopheles arabiensisZamyatin, Anton; Avdeyev, Pavel; Liang, Jiangtao; Sharma, Atashi; Chen, Chujia; Lukyanchikova, Varvara; Alexeev, Nikita; Tu, Zhijian Jake; Alekseyev, Max A.; Sharakhov, Igor V. (Oxford University Press, 2021-03-01)Background: Anopheles coluzzii and Anopheles arabiensis belong to the Anopheles gambiae complex and are among the major malaria vectors in sub-Saharan Africa. However, chromosome-level reference genome assemblies are still lacking for these medically important mosquito species. Findings: In this study, we produced de novo chromosome-level genome assemblies for A. coluzzii and A. arabiensis using the long-read Oxford Nanopore sequencing technology and the Hi-C scaffolding approach. We obtained 273.4 and 256.8 Mb of the total assemblies for A. coluzzii and A. arabiensis, respectively. Each assembly consists of 3 chromosome-scale scaffolds (X, 2, 3), complete mitochondrion, and unordered contigs identified as autosomal pericentromeric DNA, X pericentromeric DNA, and Y sequences. Comparison of these assemblies with the existing assemblies for these species demonstrated that we obtained improved reference-quality genomes. The new assemblies allowed us to identify genomic coordinates for the breakpoint regions of fixed and polymorphic chromosomal inversions in A. coluzzii and A. arabiensis. Conclusion: The new chromosome-level assemblies will facilitate functional and population genomic studies in A. coluzzii and A. arabiensis. The presented assembly pipeline will accelerate progress toward creating high-quality genome references for other disease vectors.
- Evolutionary superscaffolding and chromosome anchoring to improve Anopheles genome assembliesWaterhouse, Robert M.; Aganezov, Sergey; Anselmetti, Yoann; Lee, Jiyoung; Ruzzante, Livio; Reijnders, Maarten J. M. F.; Feron, Romain; Bérard, Sèverine; George, Phillip; Hahn, Matthew W.; Howell, Paul I.; Kamali, Maryam; Koren, Sergey; Lawson, Daniel; Maslen, Gareth; Peery, Ashley; Phillippy, Adam M.; Sharakhova, Maria V.; Tannier, Eric; Unger, Maria F.; Zhang, Simo V.; Alekseyev, Max A.; Besansky, Nora J.; Chauve, Cedric; Emrich, Scott J.; Sharakhov, Igor V. (2020-01-02)Background New sequencing technologies have lowered financial barriers to whole genome sequencing, but resulting assemblies are often fragmented and far from ‘finished’. Updating multi-scaffold drafts to chromosome-level status can be achieved through experimental mapping or re-sequencing efforts. Avoiding the costs associated with such approaches, comparative genomic analysis of gene order conservation (synteny) to predict scaffold neighbours (adjacencies) offers a potentially useful complementary method for improving draft assemblies. Results We evaluated and employed 3 gene synteny-based methods applied to 21 Anopheles mosquito assemblies to produce consensus sets of scaffold adjacencies. For subsets of the assemblies, we integrated these with additional supporting data to confirm and complement the synteny-based adjacencies: 6 with physical mapping data that anchor scaffolds to chromosome locations, 13 with paired-end RNA sequencing (RNAseq) data, and 3 with new assemblies based on re-scaffolding or long-read data. Our combined analyses produced 20 new superscaffolded assemblies with improved contiguities: 7 for which assignments of non-anchored scaffolds to chromosome arms span more than 75% of the assemblies, and a further 7 with chromosome anchoring including an 88% anchored Anopheles arabiensis assembly and, respectively, 73% and 84% anchored assemblies with comprehensively updated cytogenetic photomaps for Anopheles funestus and Anopheles stephensi. Conclusions Experimental data from probe mapping, RNAseq, or long-read technologies, where available, all contribute to successful upgrading of draft assemblies. Our evaluations show that gene synteny-based computational methods represent a valuable alternative or complementary approach. Our improved Anopheles reference assemblies highlight the utility of applying comparative genomics approaches to improve community genomic resources.