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High-throughput Physical Mapping of Chromosomes using Automated in situ Hybridization

Projects to obtain whole-genome sequences for 10,000 vertebrate species(1) and for 5,000 insect and related arthropod species(2) are expected to take place over the next 5 years. For example, the sequencing of the genomes for 15 malaria mosquitospecies is currently being done using an Illumina platf...

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Autores principales: George, Phillip, Sharakhova, Maria V., Sharakhov, Igor V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MyJove Corporation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3671838/
https://www.ncbi.nlm.nih.gov/pubmed/22782181
http://dx.doi.org/10.3791/4007
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author George, Phillip
Sharakhova, Maria V.
Sharakhov, Igor V.
author_facet George, Phillip
Sharakhova, Maria V.
Sharakhov, Igor V.
author_sort George, Phillip
collection PubMed
description Projects to obtain whole-genome sequences for 10,000 vertebrate species(1) and for 5,000 insect and related arthropod species(2) are expected to take place over the next 5 years. For example, the sequencing of the genomes for 15 malaria mosquitospecies is currently being done using an Illumina platform(3,4). This Anopheles species cluster includes both vectors and non-vectors of malaria. When the genome assemblies become available, researchers will have the unique opportunity to perform comparative analysis for inferring evolutionary changes relevant to vector ability. However, it has proven difficult to use next-generation sequencing reads to generate high-quality de novo genome assemblies(5). Moreover, the existing genome assemblies for Anopheles gambiae, although obtained using the Sanger method, are gapped or fragmented(4,6). Success of comparative genomic analyses will be limited if researchers deal with numerous sequencing contigs, rather than with chromosome-based genome assemblies. Fragmented, unmapped sequences create problems for genomic analyses because: (i) unidentified gaps cause incorrect or incomplete annotation of genomic sequences; (ii) unmapped sequences lead to confusion between paralogous genes and genes from different haplotypes; and (iii) the lack of chromosome assignment and orientation of the sequencing contigs does not allow for reconstructing rearrangement phylogeny and studying chromosome evolution. Developing high-resolution physical maps for species with newly sequenced genomes is a timely and cost-effective investment that will facilitate genome annotation, evolutionary analysis, and re-sequencing of individual genomes from natural populations(7,8). Here, we present innovative approaches to chromosome preparation, fluorescent in situ hybridization (FISH), and imaging that facilitate rapid development of physical maps. Using An. gambiae as an example, we demonstrate that the development of physical chromosome maps can potentially improve genome assemblies and, thus, the quality of genomic analyses. First, we use a high-pressure method to prepare polytene chromosome spreads. This method, originally developed for Drosophila(9), allows the user to visualize more details on chromosomes than the regular squashing technique(10). Second, a fully automated, front-end system for FISH is used for high-throughput physical genome mapping. The automated slide staining system runs multiple assays simultaneously and dramatically reduces hands-on time(11). Third, an automatic fluorescent imaging system, which includes a motorized slide stage, automatically scans and photographs labeled chromosomes after FISH(12). This system is especially useful for identifying and visualizing multiple chromosomal plates on the same slide. In addition, the scanning process captures a more uniform FISH result. Overall, the automated high-throughput physical mapping protocol is more efficient than a standard manual protocol.
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spelling pubmed-36718382013-06-06 High-throughput Physical Mapping of Chromosomes using Automated in situ Hybridization George, Phillip Sharakhova, Maria V. Sharakhov, Igor V. J Vis Exp Genetics Projects to obtain whole-genome sequences for 10,000 vertebrate species(1) and for 5,000 insect and related arthropod species(2) are expected to take place over the next 5 years. For example, the sequencing of the genomes for 15 malaria mosquitospecies is currently being done using an Illumina platform(3,4). This Anopheles species cluster includes both vectors and non-vectors of malaria. When the genome assemblies become available, researchers will have the unique opportunity to perform comparative analysis for inferring evolutionary changes relevant to vector ability. However, it has proven difficult to use next-generation sequencing reads to generate high-quality de novo genome assemblies(5). Moreover, the existing genome assemblies for Anopheles gambiae, although obtained using the Sanger method, are gapped or fragmented(4,6). Success of comparative genomic analyses will be limited if researchers deal with numerous sequencing contigs, rather than with chromosome-based genome assemblies. Fragmented, unmapped sequences create problems for genomic analyses because: (i) unidentified gaps cause incorrect or incomplete annotation of genomic sequences; (ii) unmapped sequences lead to confusion between paralogous genes and genes from different haplotypes; and (iii) the lack of chromosome assignment and orientation of the sequencing contigs does not allow for reconstructing rearrangement phylogeny and studying chromosome evolution. Developing high-resolution physical maps for species with newly sequenced genomes is a timely and cost-effective investment that will facilitate genome annotation, evolutionary analysis, and re-sequencing of individual genomes from natural populations(7,8). Here, we present innovative approaches to chromosome preparation, fluorescent in situ hybridization (FISH), and imaging that facilitate rapid development of physical maps. Using An. gambiae as an example, we demonstrate that the development of physical chromosome maps can potentially improve genome assemblies and, thus, the quality of genomic analyses. First, we use a high-pressure method to prepare polytene chromosome spreads. This method, originally developed for Drosophila(9), allows the user to visualize more details on chromosomes than the regular squashing technique(10). Second, a fully automated, front-end system for FISH is used for high-throughput physical genome mapping. The automated slide staining system runs multiple assays simultaneously and dramatically reduces hands-on time(11). Third, an automatic fluorescent imaging system, which includes a motorized slide stage, automatically scans and photographs labeled chromosomes after FISH(12). This system is especially useful for identifying and visualizing multiple chromosomal plates on the same slide. In addition, the scanning process captures a more uniform FISH result. Overall, the automated high-throughput physical mapping protocol is more efficient than a standard manual protocol. MyJove Corporation 2012-06-28 /pmc/articles/PMC3671838/ /pubmed/22782181 http://dx.doi.org/10.3791/4007 Text en Copyright © 2012, Journal of Visualized Experiments http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Genetics
George, Phillip
Sharakhova, Maria V.
Sharakhov, Igor V.
High-throughput Physical Mapping of Chromosomes using Automated in situ Hybridization
title High-throughput Physical Mapping of Chromosomes using Automated in situ Hybridization
title_full High-throughput Physical Mapping of Chromosomes using Automated in situ Hybridization
title_fullStr High-throughput Physical Mapping of Chromosomes using Automated in situ Hybridization
title_full_unstemmed High-throughput Physical Mapping of Chromosomes using Automated in situ Hybridization
title_short High-throughput Physical Mapping of Chromosomes using Automated in situ Hybridization
title_sort high-throughput physical mapping of chromosomes using automated in situ hybridization
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3671838/
https://www.ncbi.nlm.nih.gov/pubmed/22782181
http://dx.doi.org/10.3791/4007
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