Evidence map›Paper›PMID 31898513›Full record

ArticleBMC biology2020

Evolutionary superscaffolding and chromosome anchoring to improve Anopheles genome assemblies.

Robert M Waterhouse, Sergey Aganezov, Yoann Anselmetti, Jiyoung Lee, Livio Ruzzante, Maarten J M F Reijnders, Romain Feron, Sèverine Bérard, Phillip George, Matthew W Hahn and 16 more

Abstract readComparative Study
In one paragraph

Article in BMC biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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  18. Recent advances and future perspectives in vector-omics.Current opinion in insect science · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Robert M WaterhouseDepartment of Ecology and Evolution, University of Lausanne, and Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland. robert.waterhouse@unil.ch.ORCID 0000-0003-4199-9052
Sergey AganezovDepartment of Computer Science, Princeton University, Princeton, NJ, 08450, USA.ORCID 0000-0003-2458-8323
Yoann AnselmettiISEM, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France.ORCID 0000-0002-6689-1163
Jiyoung LeeThe Interdisciplinary PhD Program in Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA.ORCID 0000-0003-1702-874X
Livio RuzzanteDepartment of Ecology and Evolution, University of Lausanne, and Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland.ORCID 0000-0002-8693-8678
Maarten J M F ReijndersDepartment of Ecology and Evolution, University of Lausanne, and Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland.ORCID 0000-0002-5657-4762
Romain FeronDepartment of Ecology and Evolution, University of Lausanne, and Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland.ORCID 0000-0001-5893-6184
Sèverine BérardISEM, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France.ORCID 0000-0002-3029-0964
Phillip GeorgeDepartment of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA.
Matthew W HahnDepartments of Biology and Computer Science, Indiana University, Bloomington, IN, 47405, USA.ORCID 0000-0002-5731-8808
Paul I HowellCenters for Disease Control and Prevention, Atlanta, GA, 30329, USA.ORCID 0000-0002-3834-4621
Maryam KamaliDepartment of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA.ORCID 0000-0001-9955-0683
Sergey KorenGenome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA.ORCID 0000-0002-1472-8962
Daniel LawsonEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.ORCID 0000-0001-7765-983X
Gareth MaslenEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.ORCID 0000-0001-7318-3678
Ashley PeeryDepartment of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA.
Adam M PhillippyGenome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA.ORCID 0000-0003-2983-8934
Maria V SharakhovaDepartment of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA.ORCID 0000-0002-5790-3548
Eric TannierLaboratoire de Biométrie et Biologie Evolutive, Université Lyon 1, Unité Mixte de Recherche 5558 Centre National de la Recherche Scientifique, 69622, Villeurbanne, France.ORCID 0000-0002-3681-7536
Maria F UngerEck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, Galvin Life Sciences Building, Notre Dame, IN, 46556, USA.
Simo V ZhangDepartments of Biology and Computer Science, Indiana University, Bloomington, IN, 47405, USA.ORCID 0000-0003-2154-2549
Max A AlekseyevDepartment of Mathematics and Computational Biology Institute, George Washington University, Ashburn, VA, 20147, USA.ORCID 0000-0002-5140-8095
Nora J BesanskyEck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, Galvin Life Sciences Building, Notre Dame, IN, 46556, USA.ORCID 0000-0003-0646-0721
Cedric ChauveDepartment of Mathematics, Simon Fraser University, Burnaby, British Columbia, V5A 1S6, Canada.ORCID 0000-0001-9837-1878
Scott J EmrichDepartment of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, 37996, USA.ORCID 0000-0002-4804-7436
Igor V SharakhovThe Interdisciplinary PhD Program in Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA. igor@vt.edu.ORCID 0000-0003-0752-3747

Funding

Single-molecule sequence assembly and analysisZIAHG200398 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI PHILLIPPY, ADAM · 2016 to 2025
$15.9M
Computational Methods for Genome Assembly, Transcript Assembly, and Variant DiscoveryR01HG006677 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI SALZBERG, STEVEN L. · 2011 to 2025
$10.7M
Pathway and Network Integration of Cancer Genomics and Clinical DataU24CA211000 · NCI · PRINCETON UNIVERSITY · PI RAPHAEL, BENJAMIN, YEH, JEN JEN · 2016 to 2020
$1.7M
Improving genome assemblies for species of the Anopheles gambiae complexR21AI135298 · NIAID · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI SHARAKHOV, IGOR V · 2018 to 2019
$440k
Anchoring and uniting the An. funestus assembly for improved vector analysisR21AI112734 · NIAID · UNIVERSITY OF NOTRE DAME · PI BESANSKY, NORA JESSIE · 2014 to 2015
$427k
Comparative genome mapping of the Anopheles species clusterR21AI099528 · NIAID · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI SHARAKHOV, IGOR V · 2014 to 2015
$419k
NCI NIH HHS U24 CA211000NHGRI NIH HHS R01 HG006677NHGRI NIH HHS ZIA HG200398NIAID NIH HHS R21 AI099528NIAID NIH HHS R21 AI112734NIAID NIH HHS R21 AI135298
6 · The paper itself

Abstract

backgroundNew 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.

resultsWe 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.

conclusionsExperimental 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.

Indexed as

Biological EvolutionChromosomesSyntenyAnimalsAnophelesChromosome MappingGenetic TechniquesGenomicsBioinformaticsChromosomesComparative genomicsComputational evolutionary biologyGene syntenyGenome assemblyMosquito genomesOrthologyPhysical mapping

Identifiers

PMID31898513
PMCPMC6939337

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