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Browsing by Author "Peery, Ashley"

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    Evolutionary superscaffolding and chromosome anchoring to improve Anopheles genome assemblies
    Waterhouse, 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.
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    Improving the population genetics toolbox for the study of the African malaria vector Anopheles nili: microsatellite mapping to chromosomes
    Peery, Ashley; Sharakhova, Maria V.; Antonio-Nkondjio, Christophe; Ndo, Cyrille; Weill, Mylene; Simard, Frédéric; Sharakhov, Igor V. (Biomed Central, 2011-10-19)
    Background Anopheles nili is a major vector of malaria in the humid savannas and forested areas of sub-Saharan Africa. Understanding the population genetic structure and evolutionary dynamics of this species is important for the development of an adequate and targeted malaria control strategy in Africa. Chromosomal inversions and microsatellite markers are commonly used for studying the population structure of malaria mosquitoes. Physical mapping of these markers onto the chromosomes further improves the toolbox, and allows inference on the demographic and evolutionary history of the target species. Results Availability of polytene chromosomes allowed us to develop a map of microsatellite markers and to study polymorphism of chromosomal inversions. Nine microsatellite markers were mapped to unique locations on all five chromosomal arms of An. nili using fluorescent in situ hybridization (FISH). Probes were obtained from 300-483 bp-long inserts of plasmid clones and from 506-559 bp-long fragments amplified with primers designed using the An. nili genome assembly generated on an Illumina platform. Two additional loci were assigned to specific chromosome arms of An. nili based on in silico sequence similarity and chromosome synteny with Anopheles gambiae. Three microsatellites were mapped inside or in the vicinity of the polymorphic chromosomal inversions 2Rb and 2Rc. A statistically significant departure from Hardy-Weinberg equilibrium, due to a deficit in heterozygotes at the 2Rb inversion, and highly significant linkage disequilibrium between the two inversions, were detected in natural An. nili populations collected from Burkina Faso. Conclusions Our study demonstrated that next-generation sequencing can be used to improve FISH for microsatellite mapping in species with no reference genome sequence. Physical mapping of microsatellite markers in An. nili showed that their cytological locations spanned the entire five-arm complement, allowing genome-wide inferences. The knowledge about polymorphic inversions and chromosomal locations of microsatellite markers has been useful for explaining differences in genetic variability across loci and significant differentiation observed among natural populations of An. nili.
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    Integrating transcriptomic and proteomic data for accurate assembly and annotation of genomes
    Prasad, T. S. Keshava; Mohanty, Ajeet Kumar; Kumar, Manish; Sreenivasamurthy, Sreelakshmi K.; Dey, Gourav; Nirujogi, Raja Sekhar; Pinto, Sneha M.; Madugundu, Anil K.; Pati, Arun H.; Advani, Jayshree; Manda, Srikanth S.; Gupta, Manoj Kumar; Dwivedi, Sutopa B.; Kelkar, Dhanashree S.; Hall, Brantley; Jiang, Xiaofang; Peery, Ashley; Rajagopalan, Pavithra; Yelamanchi, Soujanya D.; Solanki, Hitendra S.; Raja, Remya; Sathe, Gajanan J.; Chavan, Sandip; Verma, Renu; Patel, Krishna M.; Jain, Ankit P.; Syed, Nazia; Datta, Keshava K.; Khan, Aafaque Ahmed; Dammalli, Manjunath; Jayaram, Savita; Radhakrishnan, Aneesha; Mitchell, Christopher J.; Na, Chan-Hyun; Kumar, Nirbhay; Sinnis, Photini; Sharakhov, Igor V.; Wang, Charles; Gowda, Harsha; Tu, Zhijian Jake; Kumar, Ashwani; Pandey, Akhilesh (2017-01)
    Complementing genome sequence with deep transcriptome and proteome data could enable more accurate assembly and annotation of newly sequenced genomes. Here, we provide a proof-of-concept of an integrated approach for analysis of the genome and proteome of Anopheles stephensi, which is one of the most important vectors of the malaria parasite. To achieve broad coverage of genes, we carried out transcriptome sequencing and deep proteome profiling of multiple anatomically distinct sites. Based on transcriptomic data alone, we identified and corrected 535 events of incomplete genome assembly involving 1196 scaffolds and 868 protein-coding gene models. This proteogenomic approach enabled us to add 365 genes that were missed during genome annotation and identify 917 gene correction events through discovery of 151 novel exons, 297 protein extensions, 231 exon extensions,192 novel protein start sites,19 novel translational frames, 28 events of joining of exons, and 76 events of joining of adjacent genes as a single gene. Incorporation of proteomic evidence allowed us to change the designation of more than 87 predicted "noncoding RNAs" to conventional mRNAs coded by protein-coding genes. Importantly, extension of the newly corrected genome assemblies and gene models to 15 other newly assembled Anopheline genomes led to the discovery of a large number of apparent discrepancies in assembly and annotation of these genomes. Our data provide a framework for how future genome sequencing efforts should incorporate transcriptomic and proteomic analysis in combination with simultaneous manual curation to achieve near complete assembly and accurate annotation of genomes.