1
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Droplet digital PCR enabled by microfluidic impact printing for absolute gene quantification. Talanta 2020; 211:120680. [DOI: 10.1016/j.talanta.2019.120680] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 12/20/2019] [Accepted: 12/24/2019] [Indexed: 01/01/2023]
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2
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Barley Genome Sequencing and Assembly—A First Version Reference Sequence. COMPENDIUM OF PLANT GENOMES 2018. [DOI: 10.1007/978-3-319-92528-8_5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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3
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Abstract
Besides quantifying the absolute number of copies of known DNA targets, digital PCR can also be used to assess whether two nonpolymorphic gene sequences or two heterozygous markers reside on the same DNA molecule (i.e., are physically linked). Some useful linkage applications include: phasing variants to define a haplotype; genotyping of inversions; determining the presence of multimarker pathogenic bacteria in a metagenomic sample; and assessing DNA integrity. This chapter describes an efficient and cost-effective method for analyzing linkage of any two genetic sequences up to at least 200 Kb apart, including phasing of heterozygous markers such as that which occur abundantly in the cystic fibrosis transmembrane conductance regulator (CFTR) gene.
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Affiliation(s)
- John Regan
- Digital Biology Center, Bio-Rad Laboratories, Pleasanton, CA, USA
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4
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Whole-Genome Restriction Mapping by "Subhaploid"-Based RAD Sequencing: An Efficient and Flexible Approach for Physical Mapping and Genome Scaffolding. Genetics 2017; 206:1237-1250. [PMID: 28468906 PMCID: PMC5500127 DOI: 10.1534/genetics.117.200303] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Accepted: 04/17/2017] [Indexed: 11/18/2022] Open
Abstract
Assembly of complex genomes using short reads remains a major challenge, which usually yields highly fragmented assemblies. Generation of ultradense linkage maps is promising for anchoring such assemblies, but traditional linkage mapping methods are hindered by the infrequency and unevenness of meiotic recombination that limit attainable map resolution. Here we develop a sequencing-based "in vitro" linkage mapping approach (called RadMap), where chromosome breakage and segregation are realized by generating hundreds of "subhaploid" fosmid/bacterial-artificial-chromosome clone pools, and by restriction site-associated DNA sequencing of these clone pools to produce an ultradense whole-genome restriction map to facilitate genome scaffolding. A bootstrap-based minimum spanning tree algorithm is developed for grouping and ordering of genome-wide markers and is implemented in a user-friendly, integrated software package (AMMO). We perform extensive analyses to validate the power and accuracy of our approach in the model plant Arabidopsis thaliana and human. We also demonstrate the utility of RadMap for enhancing the contiguity of a variety of whole-genome shotgun assemblies generated using either short Illumina reads (300 bp) or long PacBio reads (6-14 kb), with up to 15-fold improvement of N50 (∼816 kb-3.7 Mb) and high scaffolding accuracy (98.1-98.5%). RadMap outperforms BioNano and Hi-C when input assembly is highly fragmented (contig N50 = 54 kb). RadMap can capture wide-range contiguity information and provide an efficient and flexible tool for high-resolution physical mapping and scaffolding of highly fragmented assemblies.
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5
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Abstract
Whole genome amplification is important for multipoint mapping by sperm or oocyte typing and genetic disease diagnosis. Polymerase chain reaction is not suitable for amplifying long DNA sequences. This paper studies a new technique, designated PEP-primer-extension-preamplification, for amplifying long DNA sequences using the theory of branching processes. A mathematical model for PEP is constructed and a closed formula for the expected target yield is obtained. A central limit theorem and a strong law of large numbers for the number of kth generation target sequences are proved.
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6
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Abstract
Whole genome amplification is important for multipoint mapping by sperm or oocyte typing and genetic disease diagnosis. Polymerase chain reaction is not suitable for amplifying long DNA sequences. This paper studies a new technique, designated PEP-primer-extension-preamplification, for amplifying long DNA sequences using the theory of branching processes. A mathematical model for PEP is constructed and a closed formula for the expected target yield is obtained. A central limit theorem and a strong law of large numbers for the number of kth generation target sequences are proved.
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7
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Wang P, Jing F, Li G, Wu Z, Cheng Z, Zhang J, Zhang H, Jia C, Jin Q, Mao H, Zhao J. Absolute quantification of lung cancer related microRNA by droplet digital PCR. Biosens Bioelectron 2015; 74:836-42. [PMID: 26232679 DOI: 10.1016/j.bios.2015.07.048] [Citation(s) in RCA: 64] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Revised: 07/20/2015] [Accepted: 07/21/2015] [Indexed: 11/16/2022]
Abstract
Digital polymerase chain reaction (digital PCR) enables the absolute quantification of nucleic acids through the counting of single molecules, thus eliminating the need for standard curves or endogenous controls. In this study, we developed a droplet digital PCR (ddPCR) system based on an oil saturated PDMS (OSP) microfluidic chip platform for quantification of lung cancer related microRNA (miRNA). The OSP chip was made with PDMS and was oil saturated to constrain oil swallow and maintain the stability of droplets. Two inlets were designed for oil and sample injection with a syringe pump at the outlet. Highly uniform monodisperse water-in-oil emulsion droplets to be used for subsequent detection and analysis were generated at the cross section of the channel. We compared miRNA quantification by the ddPCR system and quantitative real-time PCR (qPCR) to demonstrate that the ddPCR system was superior to qPCR both in its detection limit and smaller fold changes measurement. This droplet PCR system provides new possibilities for highly sensitive and efficient detection of cancer-related genes.
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Affiliation(s)
- Ping Wang
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Science, Shanghai 200050, China; University of Chinese Academy of Sciences, Beijing 100039, China
| | - Fengxiang Jing
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Science, Shanghai 200050, China
| | - Gang Li
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Science, Shanghai 200050, China; School of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
| | - Zhenhua Wu
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Science, Shanghai 200050, China; University of Chinese Academy of Sciences, Beijing 100039, China
| | - Zule Cheng
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Science, Shanghai 200050, China; University of Chinese Academy of Sciences, Beijing 100039, China
| | - Jishen Zhang
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Science, Shanghai 200050, China
| | - Honglian Zhang
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Science, Shanghai 200050, China
| | - Chunping Jia
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Science, Shanghai 200050, China
| | - Qinghui Jin
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Science, Shanghai 200050, China
| | - Hongju Mao
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Science, Shanghai 200050, China.
| | - Jianlong Zhao
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Science, Shanghai 200050, China.
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8
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Affiliation(s)
- Gideon Rothschild
- Department of Physiology and Center for Integrative Neuroscience, University of California, San Francisco, California 94158;
| | - Adi Mizrahi
- Department of Neurobiology, Institute of Life Sciences, The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Edmond J. Safra Campus, 91904 Givat Ram Jerusalem, Israel;
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9
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Regan JF, Kamitaki N, Legler T, Cooper S, Klitgord N, Karlin-Neumann G, Wong C, Hodges S, Koehler R, Tzonev S, McCarroll SA. A rapid molecular approach for chromosomal phasing. PLoS One 2015; 10:e0118270. [PMID: 25739099 PMCID: PMC4349636 DOI: 10.1371/journal.pone.0118270] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2014] [Accepted: 01/12/2015] [Indexed: 11/18/2022] Open
Abstract
Determining the chromosomal phase of pairs of sequence variants - the arrangement of specific alleles as haplotypes - is a routine challenge in molecular genetics. Here we describe Drop-Phase, a molecular method for quickly ascertaining the phase of pairs of DNA sequence variants (separated by 1-200 kb) without cloning or manual single-molecule dilution. In each Drop-Phase reaction, genomic DNA segments are isolated in tens of thousands of nanoliter-sized droplets together with allele-specific fluorescence probes, in a single reaction well. Physically linked alleles partition into the same droplets, revealing their chromosomal phase in the co-distribution of fluorophores across droplets. We demonstrated the accuracy of this method by phasing members of trios (revealing 100% concordance with inheritance information), and demonstrate a common clinical application by phasing CFTR alleles at genomic distances of 11-116 kb in the genomes of cystic fibrosis patients. Drop-Phase is rapid (requiring less than 4 hours), scalable (to hundreds of samples), and effective at long genomic distances (200 kb).
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Affiliation(s)
- John F. Regan
- Digital Biology Center, Bio-Rad Laboratories, Pleasanton, California, United States of America
- * E-mail: (JFR); (SAM)
| | - Nolan Kamitaki
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
- Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Cambridge, Massachusetts, United States of America
| | - Tina Legler
- Digital Biology Center, Bio-Rad Laboratories, Pleasanton, California, United States of America
| | - Samantha Cooper
- Digital Biology Center, Bio-Rad Laboratories, Pleasanton, California, United States of America
| | - Niels Klitgord
- Digital Biology Center, Bio-Rad Laboratories, Pleasanton, California, United States of America
| | - George Karlin-Neumann
- Digital Biology Center, Bio-Rad Laboratories, Pleasanton, California, United States of America
| | - Catherine Wong
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Shawn Hodges
- Digital Biology Center, Bio-Rad Laboratories, Pleasanton, California, United States of America
| | - Ryan Koehler
- Digital Biology Center, Bio-Rad Laboratories, Pleasanton, California, United States of America
| | - Svilen Tzonev
- Digital Biology Center, Bio-Rad Laboratories, Pleasanton, California, United States of America
| | - Steven A. McCarroll
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
- Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Cambridge, Massachusetts, United States of America
- * E-mail: (JFR); (SAM)
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10
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McCaughan F. Molecular copy-number counting: potential of single-molecule diagnostics. Expert Rev Mol Diagn 2014; 9:309-12. [DOI: 10.1586/erm.09.14] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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11
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Day E, Dear PH, McCaughan F. Digital PCR strategies in the development and analysis of molecular biomarkers for personalized medicine. Methods 2013; 59:101-7. [DOI: 10.1016/j.ymeth.2012.08.001] [Citation(s) in RCA: 147] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2012] [Revised: 07/30/2012] [Accepted: 08/02/2012] [Indexed: 12/18/2022] Open
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12
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Li W, Olivier M. Current analysis platforms and methods for detecting copy number variation. Physiol Genomics 2012; 45:1-16. [PMID: 23132758 DOI: 10.1152/physiolgenomics.00082.2012] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Copy number variation (CNV), generated through duplication or deletion events that affect one or more loci, is widespread in the human genomes and is often associated with functional consequences that may include changes in gene expression levels or fusion of genes. Genome-wide association studies indicate that some disease phenotypes and physiological pathways might be impacted by CNV in a small number of characterized genomic regions. However, the pervasiveness and full impact of such variation remains unclear. Suitable analytic methods are needed to thoroughly mine human genomes for genomic structural variation, and to explore the interplay between observed CNV and disease phenotypes, but many medical researchers are unfamiliar with the features and nuances of recently developed technologies for detecting CNV. In this article, we evaluate a suite of commonly used and recently developed approaches to uncovering genome-wide CNVs and discuss the relative merits of each.
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Affiliation(s)
- Wenli Li
- Biotechnology and Bioengineering Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
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13
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Lim LS, Tay YL, Alias H, Wan KL, Dear PH. Insights into the genome structure and copy-number variation of Eimeria tenella. BMC Genomics 2012; 13:389. [PMID: 22889016 PMCID: PMC3505466 DOI: 10.1186/1471-2164-13-389] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2012] [Accepted: 08/01/2012] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Eimeria is a genus of parasites in the same phylum (Apicomplexa) as human parasites such as Toxoplasma, Cryptosporidium and the malaria parasite Plasmodium. As an apicomplexan whose life-cycle involves a single host, Eimeria is a convenient model for understanding this group of organisms. Although the genomes of the Apicomplexa are diverse, that of Eimeria is unique in being composed of large alternating blocks of sequence with very different characteristics - an arrangement seen in no other organism. This arrangement has impeded efforts to fully sequence the genome of Eimeria, which remains the last of the major apicomplexans to be fully analyzed. In order to increase the value of the genome sequence data and aid in the effort to gain a better understanding of the Eimeria tenella genome, we constructed a whole genome map for the parasite. RESULTS A total of 1245 contigs representing 70.0% of the whole genome assembly sequences (Wellcome Trust Sanger Institute) were selected and subjected to marker selection. Subsequently, 2482 HAPPY markers were developed and typed. Of these, 795 were considered as usable markers, and utilized in the construction of a HAPPY map. Markers developed from chromosomally-assigned genes were then integrated into the HAPPY map and this aided the assignment of a number of linkage groups to their respective chromosomes. BAC-end sequences and contigs from whole genome sequencing were also integrated to improve and validate the HAPPY map. This resulted in an integrated HAPPY map consisting of 60 linkage groups that covers approximately half of the estimated 60 Mb genome. Further analysis suggests that the segmental organization first seen in Chromosome 1 is present throughout the genome, with repeat-poor (P) regions alternating with repeat-rich (R) regions. Evidence of copy-number variation between strains was also uncovered. CONCLUSIONS This paper describes the application of a whole genome mapping method to improve the assembly of the genome of E. tenella from shotgun data, and to help reveal its overall structure. A preliminary assessment of copy-number variation (extra or missing copies of genomic segments) between strains of E. tenella was also carried out. The emerging picture is of a very unusual genome architecture displaying inter-strain copy-number variation. We suggest that these features may be related to the known ability of this parasite to rapidly develop drug resistance.
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Affiliation(s)
- Lik-Sin Lim
- School of Biosciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor DE, Malaysia
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14
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Hollox EJ. The challenges of studying complex and dynamic regions of the human genome. Methods Mol Biol 2012; 838:187-207. [PMID: 22228013 DOI: 10.1007/978-1-61779-507-7_9] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Recent work has emphasised that the human genome is not simple and static, but complex and dynamic. This review focuses on the regions that are particularly hard to dissect and analyse, yet hold clues to how the genome changes during evolution and disease. I begin by summarising recent key advances in the understanding of the variable structure of our genome, and then I discuss a medley of methods that may allow us to analyse this structure in fine detail. In the final part, I describe potential future developments in this field, and make an argument that, just as we routinely genotype single-nucleotide polymorphisms now and will routinely re-sequence genomes in the near future, we should be aiming to physically re-map the individual human genome for each individual we study.
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Affiliation(s)
- Edward J Hollox
- Department of Genetics, University of Leicester, Adrian Building, University Road, Leicester, UK.
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15
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Abstract
Within the past decade, genomic studies have emerged as essential and highly productive tools to explore the biology of Tetrahymena thermophila. The current major resources, which have been extensively mined by the research community, are the annotated macronuclear genome assembly, transcriptomic data and the databases that house this information. Efforts in progress will soon improve these data sources and expand their scope, including providing annotated micronuclear and comparative genomic sequences. Future studies of Tetrahymena cell and molecular biology, development, physiology, evolution and ecology will benefit greatly from these resources and the advanced genomic technologies they enable.
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16
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Ceulemans S, van der Ven K, Del-Favero J. Targeted screening and validation of copy number variations. Methods Mol Biol 2012; 838:311-28. [PMID: 22228019 DOI: 10.1007/978-1-61779-507-7_15] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The accessibility of genome-wide screening technologies considerably facilitated the identification and characterization of copy number variations (CNVs). The increasing amount of available data describing these variants, clearly demonstrates their abundance in the human genome. This observation shows that not only SNPs, but also CNVs and other structural variants strongly contribute to genetic variation. Even though not all structural variants have an obvious phenotypic effect, there is evidence that CNVs influence gene dosage and hence can have profound effects on human disease susceptibility, disease manifestation, and disease severity. Therefore, CNV screening and analysis methodologies, specifically focusing on disease-related CNVs are actively progressing. This chapter specifically describes different techniques currently available for the targeted screening and validation of CNVs. We not only provide an overview of all these CNV analysis methods, but also address their strong and weak points. Methods covered include fluorescence in situ hybridization (FISH), quantitative real-time PCR (qPCR), paralogue ratio test (PRT), molecular copy-number counting (MCC), and multiplex PCR-based approaches, such as multiplex amplifiable probe hybridization (MAPH), multiplex ligation-dependent probe amplification (MLPA), multiplex PCR-based real-time invader assay (mPCR-RETINA), quantitative multiplex PCR of short fluorescent fragments (QMPSF), and multiplex amplicon quantification (MAQ). We end with some general remarks and conclusions, furthermore briefly addressing the future perspectives.
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Affiliation(s)
- Shana Ceulemans
- Applied Molecular Genomics Unit, VIB, Department of Molecular Genetics, Flanders, Belgium
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Stiller M. Case study: targeted high-throughput sequencing of mitochondrial genomes from extinct cave bears via direct multiplex PCR sequencing (DMPS). Methods Mol Biol 2012; 840:171-176. [PMID: 22237534 DOI: 10.1007/978-1-61779-516-9_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Here I describe the use of a recently developed technique for targeted high-throughput sequencing of highly degraded DNA by direct multiplex PCR sequencing (DMPS) that was used to amplify 31 near-complete mitochondrial genomes of the extinct cave bear (Ursus spelaeus). DMPS couples multiplex PCR with the generation of barcoded sequencing libraries to be sequenced in parallel on a high-throughput sequencing platform. DMPS makes it possible to generate large amounts of targeted DNA sequence data simultaneously from multiple degraded samples such as fossil remains. In this chapter, I describe an experiment that uses DMPS with different primer sets and on both modern and ancient DNA templates.
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Affiliation(s)
- Mathias Stiller
- Department of Biology, The Pennsylvania State University, 320 Mueller Laboratory, University Park, PA 16802, USA.
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18
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Jiang Z, Michal JJ, Beckman KB, Lyons JB, Zhang M, Pan Z, Rokhsar DS, Harland RM. Development and initial characterization of a HAPPY panel for mapping the X. tropicalis genome. Int J Biol Sci 2011; 7:1037-44. [PMID: 21912511 PMCID: PMC3164153 DOI: 10.7150/ijbs.7.1037] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2011] [Accepted: 08/13/2011] [Indexed: 01/22/2023] Open
Abstract
HAPPY mapping was designed to pursue the analysis of approximately random HAPloid DNA breakage samples using the PolYmerase chain reaction for mapping genomes. In the present study, we improved the method and integrated two other molecular techniques into the process: whole genome amplification and the Sequenom SNP (single nucleotide polymorphism) genotyping assay in order to facilitate whole genome mapping of X. tropicalis. The former technique amplified enough DNA materials to genotype a large number of markers, while the latter allowed for relatively high throughput marker genotyping with multiplex assays on the HAPPY lines. A total of 58 X. tropicalis genes were genotyped on an initial panel of 383 HAPPY lines, which contributed to formation of a working panel of 146 lines. Further genotyping of 29 markers on the working panel led to construction of a HAPPY map for the X. tropicalis genome. We believe that our improved HAPPY method described in the present study has paved the way for the community to map different genomes with a simple, but powerful approach.
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Affiliation(s)
- Zhihua Jiang
- Department of Animal Sciences, Washington State University, Pullman, WA 99164-6351, USA.
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19
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Pole JCM, McCaughan F, Newman S, Howarth KD, Dear PH, Edwards PAW. Single-molecule analysis of genome rearrangements in cancer. Nucleic Acids Res 2011; 39:e85. [PMID: 21525129 PMCID: PMC3141271 DOI: 10.1093/nar/gkr227] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Rearrangements of the genome can be detected by microarray methods and massively parallel sequencing, which identify copy-number alterations and breakpoint junctions, but these techniques are poorly suited to reconstructing the long-range organization of rearranged chromosomes, for example, to distinguish between translocations and insertions. The single-DNA-molecule technique HAPPY mapping is a method for mapping normal genomes that should be able to analyse genome rearrangements, i.e. deviations from a known genome map, to assemble rearrangements into a long-range map. We applied HAPPY mapping to cancer cell lines to show that it could identify rearrangement of genomic segments, even in the presence of normal copies of the genome. We could distinguish a simple interstitial deletion from a copy-number loss at an inversion junction, and detect a known translocation. We could determine whether junctions detected by sequencing were on the same chromosome, by measuring their linkage to each other, and hence map the rearrangement. Finally, we mapped an uncharacterized reciprocal translocation in the T-47D breast cancer cell line to about 2 kb and hence cloned the translocation junctions. We conclude that HAPPY mapping is a versatile tool for determining the structure of rearrangements in the human genome.
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Affiliation(s)
- Jessica C M Pole
- Hutchison/MRC Research Centre and Department of Pathology, University of Cambridge, Hills Road, Cambridge, CB2 0XZ, UK
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Abstract
The term 'single-molecule genomics' (SMG) describes a group of molecular methods in which single molecules are detected or sequenced. The focus on the analysis of individual molecules distinguishes these techniques from more traditional methods, in which template DNA is cloned or PCR-amplified prior to analysis. Although technically challenging, the analysis of single molecules has the potential to play a major role in the delivery of truly personalized medicine. The two main subgroups of SMG methods are single-molecule digital PCR and single-molecule sequencing. Single-molecule PCR has a number of advantages over competing technologies, including improved detection of rare genetic variants and more precise analysis of copy-number variation, and is more easily adapted to the often small amount of material that is available in clinical samples. Single-molecule sequencing refers to a number of different methods that are mainly still in development but have the potential to make a huge impact on personalized medicine in the future.
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Affiliation(s)
- Frank McCaughan
- MRC Laboratory of Molecular Biology, Hills Road, Cambridge CB2 2QH, UK.
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21
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Stiller M, Knapp M, Stenzel U, Hofreiter M, Meyer M. Direct multiplex sequencing (DMPS)--a novel method for targeted high-throughput sequencing of ancient and highly degraded DNA. Genome Res 2009; 19:1843-8. [PMID: 19635845 DOI: 10.1101/gr.095760.109] [Citation(s) in RCA: 96] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Although the emergence of high-throughput sequencing technologies has enabled whole-genome sequencing from extinct organisms, little progress has been made in accelerating targeted sequencing from highly degraded DNA. Here, we present a novel and highly sensitive method for targeted sequencing of ancient and degraded DNA, which couples multiplex PCR directly with sample barcoding and high-throughput sequencing. Using this approach, we obtained a 96% complete mitochondrial genome data set from 31 cave bear (Ursus spelaeus) samples using only two 454 Life Sciences (Roche) GS FLX runs. In contrast to previous studies relying only on short sequence fragments, the overlapping portion of our data comprises almost 10 kb of replicated mitochondrial genome sequence, allowing for the unambiguous differentiation of three major cave bear clades. Our method opens up the opportunity to simultaneously generate many kilobases of overlapping sequence data from large sets of difficult samples, such as museum specimens, medical collections, or forensic samples. Embedded in our approach, we present a new protocol for the construction of barcoded sequencing libraries, which is compatible with all current high-throughput technologies and can be performed entirely in plate setup.
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Affiliation(s)
- Mathias Stiller
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
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22
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Jiang Z, Rokhsar DS, Harland RM. Old can be new again: HAPPY whole genome sequencing, mapping and assembly. Int J Biol Sci 2009; 5:298-303. [PMID: 19381348 PMCID: PMC2669597 DOI: 10.7150/ijbs.5.298] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2009] [Accepted: 04/12/2009] [Indexed: 11/05/2022] Open
Abstract
During the last three decades, both genome mapping and sequencing methods have advanced significantly to provide a foundation for scientists to understand genome structures and functions in many species. Generally speaking, genome mapping relies on genome sequencing to provide basic materials, such as DNA probes and markers for their localizations, thus constructing the maps. On the other hand, genome sequencing often requires a high-resolution map as a skeleton for whole genome assembly. However, both genome mapping and sequencing have never come together in one pipeline. After reviewing mapping and next-generation sequencing methods, we would like to share our thoughts with the genome community on how to combine the HAPPY mapping technique with the new-generation sequencing, thus integrating two systems into one pipeline, called HAPPY pipeline. The pipeline starts with preparation of a HAPPY panel, followed by multiple displacement amplification for producing a relatively large quantity of DNA. Instead of conventional marker genotyping, the amplified panel DNA samples are subject to new-generation sequencing with barcode method, which allows us to determine the presence/absence of a sequence contig as a traditional marker in the HAPPY panel. Statistical analysis will then be performed to infer how close or how far away from each other these contigs are within a genome and order the whole genome sequence assembly as well. We believe that such a universal approach will play an important role in genome sequencing, mapping, and assembly of many species; thus advancing genome science and its applications in biomedicine and agriculture.
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Affiliation(s)
- Zhihua Jiang
- Department of Animal Sciences and Center for Reproductive Biology, Washington State University, Pullman, WA 99164-6351, USA.
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23
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Abstract
Centromeres play a pivotal role in the life of a eukaryote cell, perform an essential and conserved function, but this has not led to a standard centromere structure. It remains currently unclear, how the centromeric function is achieved by widely differing structures. Since centromeres are often large and consist mainly of repetitive sequences they have only been analyzed in great detail in a handful of organisms. The genome of Dictyostelium discoideum, a valuable model organism, was described a few years ago but its centromere organization remained largely unclear. Using available sequence information we reconstructed the putative centromere organization in three of the six chromosomes of D. discoideum. They mainly consist of one type of transposons that is confined to centromeric regions. Centromeres are dynamic due to transposon integration, but an optimal centromere size seems to exist in D. discoideum. One centromere probably has expanded recently, whereas another underwent major rearrangements. In addition to insights into the centromere organization and dynamics of a protist eukaryote, this work also provides a starting point for the analysis of the evolution of centromere structures in social amoebas by comparative genomics.
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Affiliation(s)
- Gernot Glöckner
- Leibniz Institute for Age Research-Fritz Lipmann Institute, Beutenbergstrasse 11, D-07745 Jena, Germany.
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24
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Jones N, Ougham H, Thomas H, Pašakinskienė I. Markers and mapping revisited: finding your gene. THE NEW PHYTOLOGIST 2009; 183:935-966. [PMID: 19594696 DOI: 10.1111/j.1469-8137.2009.02933.x] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
This paper is an update of our earlier review (Jones et al., 1997, Markers and mapping: we are all geneticists now. New Phytologist 137: 165-177), which dealt with the genetics of mapping, in terms of recombination as the basis of the procedure, and covered some of the first generation of markers, including restriction fragment length polymorphisms (RFLPs), random amplified polymorphic DNA (RAPDs), simple sequence repeats (SSRs) and quantitative trait loci (QTLs). In the intervening decade there have been numerous developments in marker science with many new systems becoming available, which are herein described: cleavage amplification polymorphism (CAP), sequence-specific amplification polymorphism (S-SAP), inter-simple sequence repeat (ISSR), sequence tagged site (STS), sequence characterized amplification region (SCAR), selective amplification of microsatellite polymorphic loci (SAMPL), single nucleotide polymorphism (SNP), expressed sequence tag (EST), sequence-related amplified polymorphism (SRAP), target region amplification polymorphism (TRAP), microarrays, diversity arrays technology (DArT), single-strand conformation polymorphism (SSCP), denaturing gradient gel electrophoresis (DGGE), temperature gradient gel electrophoresis (TGGE) and methylation-sensitive PCR. In addition there has been an explosion of knowledge and databases in the area of genomics and bioinformatics. The number of flowering plant ESTs is c. 19 million and counting, with all the opportunity that this provides for gene-hunting, while the survey of bioinformatics and computer resources points to a rapid growth point for future activities in unravelling and applying the burst of new information on plant genomes. A case study is presented on tracking down a specific gene (stay-green (SGR), a post-transcriptional senescence regulator) using the full suite of mapping tools and comparative mapping resources. We end with a brief speculation on how genome analysis may progress into the future of this highly dynamic arena of plant science.
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Affiliation(s)
- Neil Jones
- IBERS, Aberystwyth University, Edward Llwyd Building, Penglais Campus, Aberystwyth, Ceredigion SY23 3DA, UK
| | - Helen Ougham
- IBERS, Aberystwyth University, Gogerddan Campus, Aberystwyth, Ceredigion SY23 3EB, UK
| | - Howard Thomas
- IBERS, Aberystwyth University, Edward Llwyd Building, Penglais Campus, Aberystwyth, Ceredigion SY23 3DA, UK
| | - Izolda Pašakinskienė
- Botanical Garden of Vilnius University, Kairenu 43, LT-10239 Vilnius, Lithuania
- Faculty of Natural Sciences, Department of Botany and Genetics, MK Čiurlionio g. 21, LT-03101 Vilnius, Lithuania
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25
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Coyne RS, Thiagarajan M, Jones KM, Wortman JR, Tallon LJ, Haas BJ, Cassidy-Hanley DM, Wiley EA, Smith JJ, Collins K, Lee SR, Couvillion MT, Liu Y, Garg J, Pearlman RE, Hamilton EP, Orias E, Eisen JA, Methé BA. Refined annotation and assembly of the Tetrahymena thermophila genome sequence through EST analysis, comparative genomic hybridization, and targeted gap closure. BMC Genomics 2008; 9:562. [PMID: 19036158 PMCID: PMC2612030 DOI: 10.1186/1471-2164-9-562] [Citation(s) in RCA: 76] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2008] [Accepted: 11/26/2008] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Tetrahymena thermophila, a widely studied model for cellular and molecular biology, is a binucleated single-celled organism with a germline micronucleus (MIC) and somatic macronucleus (MAC). The recent draft MAC genome assembly revealed low sequence repetitiveness, a result of the epigenetic removal of invasive DNA elements found only in the MIC genome. Such low repetitiveness makes complete closure of the MAC genome a feasible goal, which to achieve would require standard closure methods as well as removal of minor MIC contamination of the MAC genome assembly. Highly accurate preliminary annotation of Tetrahymena's coding potential was hindered by the lack of both comparative genomic sequence information from close relatives and significant amounts of cDNA evidence, thus limiting the value of the genomic information and also leaving unanswered certain questions, such as the frequency of alternative splicing. RESULTS We addressed the problem of MIC contamination using comparative genomic hybridization with purified MIC and MAC DNA probes against a whole genome oligonucleotide microarray, allowing the identification of 763 genome scaffolds likely to contain MIC-limited DNA sequences. We also employed standard genome closure methods to essentially finish over 60% of the MAC genome. For the improvement of annotation, we have sequenced and analyzed over 60,000 verified EST reads from a variety of cellular growth and development conditions. Using this EST evidence, a combination of automated and manual reannotation efforts led to updates that affect 16% of the current protein-coding gene models. By comparing EST abundance, many genes showing apparent differential expression between these conditions were identified. Rare instances of alternative splicing and uses of the non-standard amino acid selenocysteine were also identified. CONCLUSION We report here significant progress in genome closure and reannotation of Tetrahymena thermophila. Our experience to date suggests that complete closure of the MAC genome is attainable. Using the new EST evidence, automated and manual curation has resulted in substantial improvements to the over 24,000 gene models, which will be valuable to researchers studying this model organism as well as for comparative genomics purposes.
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Affiliation(s)
- Robert S Coyne
- J. Craig Venter Institute (formerly The Institute for Genomic Research), 9704 Medical Center Dr., Rockville, MD, USA.
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26
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Riera-Lizarazu O, Vales MI, Kianian SF. Radiation hybrid (RH) and HAPPY mapping in plants. Cytogenet Genome Res 2008; 120:233-40. [PMID: 18504352 DOI: 10.1159/000121072] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/22/2007] [Indexed: 11/19/2022] Open
Abstract
Radiation hybrid (RH) and HAPPY mapping are two technologies used in animal systems that have attracted the attention of the plant genetics community because they bridge the resolution gap between meiotic and BAC-based physical mapping that would facilitate the analysis of plant species lacking substantial genomics resources. Research has shown that the essence of these approaches can be applied and that a variety of strategies can be used to produce mapping panels. Mapping panels composed of live plants, protoplast fusion cultures, and sub-genomic DNA samples have been described. The resolution achievable by RH mapping panels involving live-plant derivatives of a monosomic maize (Zea mays) chromosome 9 addition in allohexaploid oat (Avena sativa), a monosomic chromosome 1D addition in allotetraploid durum wheat (Triticum turgidum), and interspecific hybrids between two tetraploid cotton species (G. hirsutum and G. barbadense), has been estimated to range from 0.6 to 6 Mb. On the other hand, a more comprehensive evaluation of one panel from durum wheat suggests that a higher mapping resolution (approximately 200 kb) is possible. In cases involving RH mapping panels based on barley (Hordeum vulgare)-tobacco (Nicotiana tabacum) protoplast fusions or a HAPPY mapping panel based on genomic DNA from Arabidopsis thaliana, the potential mapping resolution appears to be higher (50 to 200 kb). Despite these encouraging results, the application of either RH or HAPPY mapping in plants is still in the experimental phase and additional work is clearly needed before these methods are more routinely utilized.
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Affiliation(s)
- O Riera-Lizarazu
- Department of Crop and Soil Science, Oregon State University, Corvallis, OR 97331-3002, USA.
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27
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Clark CG, Alsmark UCM, Tazreiter M, Saito-Nakano Y, Ali V, Marion S, Weber C, Mukherjee C, Bruchhaus I, Tannich E, Leippe M, Sicheritz-Ponten T, Foster PG, Samuelson J, Noël CJ, Hirt RP, Embley TM, Gilchrist CA, Mann BJ, Singh U, Ackers JP, Bhattacharya S, Bhattacharya A, Lohia A, Guillén N, Duchêne M, Nozaki T, Hall N. Structure and content of the Entamoeba histolytica genome. ADVANCES IN PARASITOLOGY 2008; 65:51-190. [PMID: 18063096 DOI: 10.1016/s0065-308x(07)65002-7] [Citation(s) in RCA: 133] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
The intestinal parasite Entamoeba histolytica is one of the first protists for which a draft genome sequence has been published. Although the genome is still incomplete, it is unlikely that many genes are missing from the list of those already identified. In this chapter we summarise the features of the genome as they are currently understood and provide previously unpublished analyses of many of the genes.
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Affiliation(s)
- C G Clark
- Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
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28
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Eisen JA, Coyne RS, Wu M, Wu D, Thiagarajan M, Wortman JR, Badger JH, Ren Q, Amedeo P, Jones KM, Tallon LJ, Delcher AL, Salzberg SL, Silva JC, Haas BJ, Majoros WH, Farzad M, Carlton JM, Smith RK, Garg J, Pearlman RE, Karrer KM, Sun L, Manning G, Elde NC, Turkewitz AP, Asai DJ, Wilkes DE, Wang Y, Cai H, Collins K, Stewart BA, Lee SR, Wilamowska K, Weinberg Z, Ruzzo WL, Wloga D, Gaertig J, Frankel J, Tsao CC, Gorovsky MA, Keeling PJ, Waller RF, Patron NJ, Cherry JM, Stover NA, Krieger CJ, del Toro C, Ryder HF, Williamson SC, Barbeau RA, Hamilton EP, Orias E. Macronuclear genome sequence of the ciliate Tetrahymena thermophila, a model eukaryote. PLoS Biol 2007; 4:e286. [PMID: 16933976 PMCID: PMC1557398 DOI: 10.1371/journal.pbio.0040286] [Citation(s) in RCA: 559] [Impact Index Per Article: 31.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2006] [Accepted: 06/23/2006] [Indexed: 01/05/2023] Open
Abstract
The ciliate Tetrahymena thermophila is a model organism for molecular and cellular biology. Like other ciliates, this species has separate germline and soma functions that are embodied by distinct nuclei within a single cell. The germline-like micronucleus (MIC) has its genome held in reserve for sexual reproduction. The soma-like macronucleus (MAC), which possesses a genome processed from that of the MIC, is the center of gene expression and does not directly contribute DNA to sexual progeny. We report here the shotgun sequencing, assembly, and analysis of the MAC genome of T. thermophila, which is approximately 104 Mb in length and composed of approximately 225 chromosomes. Overall, the gene set is robust, with more than 27,000 predicted protein-coding genes, 15,000 of which have strong matches to genes in other organisms. The functional diversity encoded by these genes is substantial and reflects the complexity of processes required for a free-living, predatory, single-celled organism. This is highlighted by the abundance of lineage-specific duplications of genes with predicted roles in sensing and responding to environmental conditions (e.g., kinases), using diverse resources (e.g., proteases and transporters), and generating structural complexity (e.g., kinesins and dyneins). In contrast to the other lineages of alveolates (apicomplexans and dinoflagellates), no compelling evidence could be found for plastid-derived genes in the genome. UGA, the only T. thermophila stop codon, is used in some genes to encode selenocysteine, thus making this organism the first known with the potential to translate all 64 codons in nuclear genes into amino acids. We present genomic evidence supporting the hypothesis that the excision of DNA from the MIC to generate the MAC specifically targets foreign DNA as a form of genome self-defense. The combination of the genome sequence, the functional diversity encoded therein, and the presence of some pathways missing from other model organisms makes T. thermophila an ideal model for functional genomic studies to address biological, biomedical, and biotechnological questions of fundamental importance.
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Affiliation(s)
- Jonathan A Eisen
- The Institute for Genomic Research, Rockville, Maryland, United States of America.
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29
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Gilleard JS. Understanding anthelmintic resistance: The need for genomics and genetics. Int J Parasitol 2006; 36:1227-39. [PMID: 16889782 DOI: 10.1016/j.ijpara.2006.06.010] [Citation(s) in RCA: 133] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2006] [Revised: 06/09/2006] [Accepted: 06/19/2006] [Indexed: 11/21/2022]
Abstract
Anthelmintic resistance is a major problem for the control of many parasitic nematode species and has become a major constraint to livestock production in many parts of the world. In spite of its increasing importance, there is still a poor understanding of the molecular and genetic basis of resistance. It is unclear which mutations contribute most to the resistance phenotype and how resistance alleles arise, are selected and spread in parasite populations. The main strategy used to identify mutations responsible for anthelmintic resistance has been to undertake experimental studies on candidate genes. These genes have been chosen predominantly on the basis of our knowledge of drug mode-of-action and the identification of mutations that can confer resistance in model organisms. The application of these approaches to the analysis of benzimidazole and ivermectin resistance is reviewed and the reasons for their relative success or failure are discussed. The inherent limitation of candidate gene studies is that they rely on very specific and narrow assumptions about the likely identity of resistance-associated genes. In contrast, forward genetic and functional genomic approaches do not make such assumptions, as illustrated by the successful application of these techniques in the study of insecticide resistance. Although there is an urgent need to apply these powerful approaches to anthelmintic resistance research, the basic methodologies and resources are still lacking. However, these are now being developed for the trichostrongylid nematode Haemonchus contortus and the current progress and research priorities in this area are discussed.
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Affiliation(s)
- John Stuart Gilleard
- Division of Infection and Immunity, Institute of Comparative Medicine, Faculty of Veterinary Medicine, University of Glasgow, Bearsden Road, Glasgow, Strathclyde G61 1QH, UK.
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30
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Galagan JE, Henn MR, Ma LJ, Cuomo CA, Birren B. Genomics of the fungal kingdom: Insights into eukaryotic biology. Genome Res 2005; 15:1620-31. [PMID: 16339359 DOI: 10.1101/gr.3767105] [Citation(s) in RCA: 233] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
The last decade has witnessed a revolution in the genomics of the fungal kingdom. Since the sequencing of the first fungus in 1996, the number of available fungal genome sequences has increased by an order of magnitude. Over 40 complete fungal genomes have been publicly released with an equal number currently being sequenced--representing the widest sampling of genomes from any eukaryotic kingdom. Moreover, many of these sequenced species form clusters of related organisms designed to enable comparative studies. These data provide an unparalleled opportunity to study the biology and evolution of this medically, industrially, and environmentally important kingdom. In addition, fungi also serve as model organisms for all eukaryotes. The available fungal genomic resource, coupled with the experimental tractability of the fungi, is accelerating research into the fundamental aspects of eukaryotic biology. We provide here an overview of available fungal genomes and highlight some of the biological insights that have been derived through their analysis. We also discuss insights into the fundamental cellular biology shared between fungi and other eukaryotic organisms.
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Affiliation(s)
- James E Galagan
- The Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02141, USA.
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31
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Falque M, Décousset L, Dervins D, Jacob AM, Joets J, Martinant JP, Raffoux X, Ribière N, Ridel C, Samson D, Charcosset A, Murigneux A. Linkage mapping of 1454 new maize candidate gene Loci. Genetics 2005; 170:1957-66. [PMID: 15937132 PMCID: PMC1449757 DOI: 10.1534/genetics.104.040204] [Citation(s) in RCA: 63] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2004] [Accepted: 04/24/2005] [Indexed: 11/18/2022] Open
Abstract
Bioinformatic analyses of maize EST sequences have highlighted large numbers of candidate genes putatively involved in agriculturally important traits. To contribute to ongoing efforts toward mapping of these genes, we used two populations of intermated recombinant inbred lines (IRILs), which allow a higher map resolution than nonintermated RILs. The first panel (IBM), derived from B73 x Mo17, is publicly available from the Maize Genetics Cooperation Stock Center. The second panel (LHRF) was developed from F2 x F252 to map loci monomorphic on IBM. We built framework maps of 237 loci from the IBM panel and 271 loci from the LHRF panel. Both maps were used to place 1454 loci (1056 on map IBM_Gnp2004 and 398 on map LHRF_Gnp2004) that corresponded to 954 cDNA probes previously unmapped. RFLP was mostly used, but PCR-based methods were also performed for some cDNAs to map SNPs. Unlike in usual IRIL-based maps published so far, corrected meiotic centimorgan distances were calculated, taking into account the number of intermating generations undergone by the IRILs. The corrected sizes of our framework maps were 1825 cM for IBM_Gnp2004 and 1862 cM for LHRF_Gnp2004. All loci mapped on LHRF_Gnp2004 were also projected on a consensus map IBMconsensus_Gnp2004. cDNA loci formed clusters near the centromeres except for chromosomes 1 and 8.
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Affiliation(s)
- Matthieu Falque
- INRA-UPS-CNRS-INA.PG, UMR de Génétique Végétale, 91190 Gif-sur-Yvette, France.
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32
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Darvasi A. Dissecting complex traits: the geneticists' ‘Around the world in 80 days’. Trends Genet 2005; 21:373-6. [PMID: 15913834 DOI: 10.1016/j.tig.2005.05.003] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 03/17/2005] [Accepted: 05/03/2005] [Indexed: 11/22/2022]
Abstract
The identification of genes mildly affecting quantitative phenotypes constitutes a difficult task that has almost always eluded application, particularly in behavioral phenotypes. Recently, the first study that identified a gene underlying a QTL affecting anxiety was published. In the course of that study, novel approaches were developed that can significantly reduce the time required to identify such genes. The identification of genes affecting complex traits is expected to provide significant insights into the biochemical mechanisms underlying these poorly understood traits.
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Affiliation(s)
- Ariel Darvasi
- The Life Sciences Institute, The Hebrew University of Jerusalem, Jerusalem 91904, Israel.
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33
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Shirley MW, Blake D, White SE, Sheriff R, Smith AL. Integrating genetics and genomics to identify new leads for the control ofEimeriaspp. Parasitology 2005; 128 Suppl 1:S33-42. [PMID: 16454897 DOI: 10.1017/s0031182004006845] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Eimerian parasites display a biologically interesting range of phenotypic variation. In addition to a wide spectrum of drug-resistance phenotypes that are expressed similarly by many other parasites, theEimeriaspp. present some unique phenotypes. For example, unique lines ofEimeriaspp. include those selected for growth in the chorioallantoic membrane of the embryonating hens egg or for faster growth (precocious development) in the mature host. The many laboratory-derived egg-adapted or precocious lines also share a phenotype of a marked attenuation of virulence, the basis of which is different as a consequence of thein ovoorin vivoselection procedures used. Of current interest is the fact that some wild-type populations ofEimeria maximaare characterized by an ability to induce protective immunity that is strain-specific. The molecular basis of phenotypes that defineEimeriaspp. is now increasingly amenable to investigation, both through technical improvements in genetic linkage studies and the availability of a comprehensive genome sequence for the caecal parasiteE. tenella. The most exciting phenotype in the context of vaccination and the development of new vaccines is the trait of strain-specific immunity associated withE. maxima. Recent work in this laboratory has shown that infection of two inbred lines of White Leghorn chickens with the W strain ofE. maximaleads to complete protection to challenge with the homologous parasite, but to complete escape of the heterologous H strain, i.e. the W strain induces an exquisitely strain-specific protective immune response with respect to the H strain. This dichotomy of survival in the face of immune-mediated killing has been examined further and, notably, mating between a drug-resistant W strain and a drug-sensitive H strain leads to recombination between the genetic loci responsible for the specificity of protective immunity and resistance to the anticoccidial drug robenidine. Such a finding opens the way forward for genetic mapping of the loci responsible for the induction of protective immunity and integration with the genome sequencing efforts.
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Affiliation(s)
- M W Shirley
- Institute for Animal Health, Compton Laboratory, Compton, Nr Newbury, Berks, UK.
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34
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Eichinger L, Pachebat J, Glöckner G, Rajandream MA, Sucgang R, Berriman M, Song J, Olsen R, Szafranski K, Xu Q, Tunggal B, Kummerfeld S, Madera M, Konfortov BA, Rivero F, Bankier AT, Lehmann R, Hamlin N, Davies R, Gaudet P, Fey P, Pilcher K, Chen G, Saunders D, Sodergren E, Davis P, Kerhornou A, Nie X, Hall N, Anjard C, Hemphill L, Bason N, Farbrother P, Desany B, Just E, Morio T, Rost R, Churcher C, Cooper J, Haydock S, van Driessche N, Cronin A, Goodhead I, Muzny D, Mourier T, Pain A, Lu M, Harper D, Lindsay R, Hauser H, James K, Quiles M, Babu MM, Saito T, Buchrieser C, Wardroper A, Felder M, Thangavelu M, Johnson D, Knights A, Loulseged H, Mungall K, Oliver K, Price C, Quail M, Urushihara H, Hernandez J, Rabbinowitsch E, Steffen D, Sanders M, Ma J, Kohara Y, Sharp S, Simmonds M, Spiegler S, Tivey A, Sugano S, White B, Walker D, Woodward J, Winckler T, Tanaka Y, Shaulsky G, Schleicher M, Weinstock G, Rosenthal A, Cox E, Chisholm RL, Gibbs R, Loomis WF, Platzer M, Kay RR, Williams J, Dear PH, Noegel AA, Barrell B, Kuspa A. The genome of the social amoeba Dictyostelium discoideum. Nature 2005; 435:43-57. [PMID: 15875012 PMCID: PMC1352341 DOI: 10.1038/nature03481] [Citation(s) in RCA: 970] [Impact Index Per Article: 48.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2004] [Accepted: 02/17/2005] [Indexed: 02/07/2023]
Abstract
The social amoebae are exceptional in their ability to alternate between unicellular and multicellular forms. Here we describe the genome of the best-studied member of this group, Dictyostelium discoideum. The gene-dense chromosomes of this organism encode approximately 12,500 predicted proteins, a high proportion of which have long, repetitive amino acid tracts. There are many genes for polyketide synthases and ABC transporters, suggesting an extensive secondary metabolism for producing and exporting small molecules. The genome is rich in complex repeats, one class of which is clustered and may serve as centromeres. Partial copies of the extrachromosomal ribosomal DNA (rDNA) element are found at the ends of each chromosome, suggesting a novel telomere structure and the use of a common mechanism to maintain both the rDNA and chromosomal termini. A proteome-based phylogeny shows that the amoebozoa diverged from the animal-fungal lineage after the plant-animal split, but Dictyostelium seems to have retained more of the diversity of the ancestral genome than have plants, animals or fungi.
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Affiliation(s)
- L. Eichinger
- Center for Biochemistry and Center for Molecular Medicine Cologne, University of Cologne, Joseph-Stelzmann-Str. 52, 50931 Cologne, Germany
| | - J.A. Pachebat
- Center for Biochemistry and Center for Molecular Medicine Cologne, University of Cologne, Joseph-Stelzmann-Str. 52, 50931 Cologne, Germany
- Laboratory of Molecular Biology, MRC Centre, Cambridge CB2 2QH, UK
| | - G. Glöckner
- Genome Analysis, Institute for Molecular Biotechnology, Beutenbergstr. 11, D-07745 Jena, Germany
| | - M.-A. Rajandream
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - R. Sucgang
- Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX77030, USA
| | - M. Berriman
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - J. Song
- Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX77030, USA
| | - R. Olsen
- Section of Cell and Developmental Biology, Division of Biology, University of California, San Diego, La Jolla, CA 92093, USA
| | - K. Szafranski
- Genome Analysis, Institute for Molecular Biotechnology, Beutenbergstr. 11, D-07745 Jena, Germany
| | - Q. Xu
- Dept. of Human and Molecular Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Graduate Program in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston TX 77030, USA
| | - B. Tunggal
- Center for Biochemistry and Center for Molecular Medicine Cologne, University of Cologne, Joseph-Stelzmann-Str. 52, 50931 Cologne, Germany
| | - S. Kummerfeld
- Laboratory of Molecular Biology, MRC Centre, Cambridge CB2 2QH, UK
| | - M. Madera
- Laboratory of Molecular Biology, MRC Centre, Cambridge CB2 2QH, UK
| | - B. A. Konfortov
- Laboratory of Molecular Biology, MRC Centre, Cambridge CB2 2QH, UK
| | - F. Rivero
- Center for Biochemistry and Center for Molecular Medicine Cologne, University of Cologne, Joseph-Stelzmann-Str. 52, 50931 Cologne, Germany
| | - A. T. Bankier
- Laboratory of Molecular Biology, MRC Centre, Cambridge CB2 2QH, UK
| | - R. Lehmann
- Genome Analysis, Institute for Molecular Biotechnology, Beutenbergstr. 11, D-07745 Jena, Germany
| | - N. Hamlin
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - R. Davies
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - P. Gaudet
- dictyBase, Center for Genetic Medicine, Northwestern University, 303 E Chicago Ave, Chicago, IL 60611, USA
| | - P. Fey
- dictyBase, Center for Genetic Medicine, Northwestern University, 303 E Chicago Ave, Chicago, IL 60611, USA
| | - K. Pilcher
- dictyBase, Center for Genetic Medicine, Northwestern University, 303 E Chicago Ave, Chicago, IL 60611, USA
| | - G. Chen
- Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX77030, USA
| | - D. Saunders
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - E. Sodergren
- Dept. of Human and Molecular Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - P. Davis
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - A. Kerhornou
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - X. Nie
- Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX77030, USA
| | - N. Hall
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - C. Anjard
- Section of Cell and Developmental Biology, Division of Biology, University of California, San Diego, La Jolla, CA 92093, USA
| | - L. Hemphill
- Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX77030, USA
| | - N. Bason
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - P. Farbrother
- Center for Biochemistry and Center for Molecular Medicine Cologne, University of Cologne, Joseph-Stelzmann-Str. 52, 50931 Cologne, Germany
| | - B. Desany
- Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX77030, USA
| | - E. Just
- dictyBase, Center for Genetic Medicine, Northwestern University, 303 E Chicago Ave, Chicago, IL 60611, USA
| | - T. Morio
- Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan
| | - R. Rost
- Adolf-Butenandt-Institute/Cell Biology, Ludwig-Maximilians-University, 80336 Munich, Germany
| | - C. Churcher
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - J. Cooper
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - S. Haydock
- Biochemistry Department, University of Cambridge, Cambridge CB2 1QW, UK
| | - N. van Driessche
- Dept. of Human and Molecular Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - A. Cronin
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - I. Goodhead
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - D. Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - T. Mourier
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - A. Pain
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - M. Lu
- Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX77030, USA
| | - D. Harper
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - R. Lindsay
- Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX77030, USA
| | - H. Hauser
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - K. James
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - M. Quiles
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - M. Madan Babu
- Laboratory of Molecular Biology, MRC Centre, Cambridge CB2 2QH, UK
| | - T. Saito
- Division of Biological Sciences, Graduate School of Science, Hokkaido University, Sapporo 060-0810 Japan
| | - C. Buchrieser
- Unité de Genomique des Microorganismes Pathogenes, Institut Pasteur, 28 rue du Dr. Roux, 75724 Paris Cedex 15, France
| | - A. Wardroper
- Laboratory of Molecular Biology, MRC Centre, Cambridge CB2 2QH, UK
- Department of Biology, University of York, York YO10 5YW, UK
| | - M. Felder
- Genome Analysis, Institute for Molecular Biotechnology, Beutenbergstr. 11, D-07745 Jena, Germany
| | - M. Thangavelu
- MRC Cancer Cell Unit, Hutchison/MRC Research Centre, Hills Road, Cambridge CB2 2XZ, UK
| | - D. Johnson
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - A. Knights
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - H. Loulseged
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - K. Mungall
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - K. Oliver
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - C. Price
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - M.A. Quail
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - H. Urushihara
- Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan
| | - J. Hernandez
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - E. Rabbinowitsch
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - D. Steffen
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - M. Sanders
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - J. Ma
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Y. Kohara
- Centre for Genetic Resource Information, National Institute of Genetics, Mishima, Shizuoka 411-8540, Japan
| | - S. Sharp
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - M. Simmonds
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - S. Spiegler
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - A. Tivey
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - S. Sugano
- Department of Medical Genome Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Minato, Tokyo 108-8639, Japan
| | - B. White
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - D. Walker
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - J. Woodward
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - T. Winckler
- Institut für Pharmazeutische Biologie, Universität Frankfurt (Biozentrum), Frankfurt am Main, 60439, Germany
| | - Y. Tanaka
- Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan
| | - G. Shaulsky
- Dept. of Human and Molecular Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Graduate Program in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston TX 77030, USA
| | - M. Schleicher
- Adolf-Butenandt-Institute/Cell Biology, Ludwig-Maximilians-University, 80336 Munich, Germany
| | - G. Weinstock
- Dept. of Human and Molecular Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - A. Rosenthal
- Genome Analysis, Institute for Molecular Biotechnology, Beutenbergstr. 11, D-07745 Jena, Germany
| | - E.C. Cox
- Department of Molecular Biology, Princeton University, Princeton, NJ08544-1003, USA
| | - R. L. Chisholm
- dictyBase, Center for Genetic Medicine, Northwestern University, 303 E Chicago Ave, Chicago, IL 60611, USA
| | - R. Gibbs
- Dept. of Human and Molecular Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - W. F. Loomis
- Section of Cell and Developmental Biology, Division of Biology, University of California, San Diego, La Jolla, CA 92093, USA
| | - M. Platzer
- Genome Analysis, Institute for Molecular Biotechnology, Beutenbergstr. 11, D-07745 Jena, Germany
| | - R. R. Kay
- Laboratory of Molecular Biology, MRC Centre, Cambridge CB2 2QH, UK
| | - J. Williams
- School of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, UK
| | - P. H. Dear
- Laboratory of Molecular Biology, MRC Centre, Cambridge CB2 2QH, UK
| | - A. A. Noegel
- Center for Biochemistry and Center for Molecular Medicine Cologne, University of Cologne, Joseph-Stelzmann-Str. 52, 50931 Cologne, Germany
| | - B. Barrell
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - A. Kuspa
- Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX77030, USA
- Dept. of Human and Molecular Genetics, Baylor College of Medicine, Houston, TX 77030, USA
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35
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Rodríguez-Martínez AB, Barreau C, Coupry I, Yagüe J, Sánchez-Valle R, Galdós-Alcelay L, Ibáñez A, Digón A, Fernández-Manchola I, Goizet C, Castro A, Cuevas N, Alvarez-Alvarez M, de Pancorbo MM, Arveiler B, Zarranz JJ. Ancestral origins of the prion protein gene D178N mutation in the Basque Country. Hum Genet 2005; 117:61-9. [PMID: 15806397 DOI: 10.1007/s00439-005-1277-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2004] [Accepted: 12/21/2004] [Indexed: 11/28/2022]
Abstract
Fatal familial insomnia (FFI) and familial Creutzfeldt-Jakob disease (fCJD) are familial prion diseases with autosomal dominant inheritance of the D178N mutation. FFI has been reported in at least 27 pedigrees around the world. Twelve apparently unrelated FFI and fCJD pedigrees with the characteristic D178N mutation have been reported in the Prion Diseases Registry of the Basque Country since 1993. The high incidence of familial prion diseases in this region may reflect a unique ancestral origin of the chromosome carrying this mutation. In order to investigate this putative founder effect, we developed "happy typing", a new approach to the happy mapping method, which consists of the physical isolation of large haploid genomic DNA fragments and their analysis by the Polymerase Chain Reaction in order to perform haplotypic analysis instead of pedigree analysis. Six novel microsatellite markers, located in a 150-kb genomic segment flanking the PRNP gene were characterized for typing haploid DNA fragments of 285 kb in size. A common haplotype was found in patients from the Basque region, strongly suggesting a founder effect. We propose that "happy typing" constitutes an efficient method for determining disease-associated haplotypes, since the analysis of a single affected individual per pedigree should provide sufficient evidence.
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Affiliation(s)
- Ana B Rodríguez-Martínez
- Unidad de Genómica: Banco de ADN y Genotipado, Facultad de Farmacia, Universidad del País Vasco, Vitoria-Gasteiz, Spain
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36
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Huang S, van der Vossen EAG, Kuang H, Vleeshouwers VGAA, Zhang N, Borm TJA, van Eck HJ, Baker B, Jacobsen E, Visser RGF. Comparative genomics enabled the isolation of the R3a late blight resistance gene in potato. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2005; 42:251-61. [PMID: 15807786 DOI: 10.1111/j.1365-313x.2005.02365.x] [Citation(s) in RCA: 119] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Comparative genomics provides a tool to utilize the exponentially increasing sequence information from model plants to clone agronomically important genes from less studied crop species. Plant disease resistance (R) loci frequently lack synteny between related species of cereals and crucifers but appear to be positionally well conserved in the Solanaceae. In this report, we adopted a local RGA approach using genomic information from the model Solanaceous plant tomato to isolate R3a, a potato gene that confers race-specific resistance to the late blight pathogen Phytophthora infestans. R3a is a member of the R3 complex locus on chromosome 11. Comparative analyses of the R3 complex locus with the corresponding I2 complex locus in tomato suggest that this is an ancient locus involved in plant innate immunity against oomycete and fungal pathogens. However, the R3 complex locus has evolved after divergence from tomato and the locus has experienced a significant expansion in potato without disruption of the flanking colinearity. This expansion has resulted in an increase in the number of R genes and in functional diversification, which has probably been driven by the co-evolutionary history between P. infestans and its host potato. Constitutive expression was observed for the R3a gene, as well as some of its paralogues whose functions remain unknown.
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Affiliation(s)
- Sanwen Huang
- Laboratory of Plant Breeding, Department of Plant Sciences, Graduate School Experimental Plant Sciences, Wageningen University, Binnenhaven 5, 6709 PD Wageningen, The Netherlands
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37
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Meyers BC, Scalabrin S, Morgante M. Mapping and sequencing complex genomes: let's get physical! Nat Rev Genet 2004; 5:578-88. [PMID: 15266340 DOI: 10.1038/nrg1404] [Citation(s) in RCA: 69] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Blake C Meyers
- Department of Plant and Soil Sciences and Delaware Biotechnology Institute, University of Delaware, Newark, Delaware 19711, USA
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Abstract
A schistosome genome project was initiated by the World Health Organization in 1994 with the notion that the best prospects for identifying new targets for drugs, vaccines, and diagnostic development lie in schistosome gene discovery, development of chromosome maps, whole genome sequencing and genome analysis. Schistosoma mansoni has a haploid genome of 270 Mb contained on 8 pairs of chromosomes. It is estimated that the S. mansoni genome contains between 15000 and 25000 genes. There are approximately 16689 ESTs obtained from diverse libraries representing different developmental stages of S. mansoni, deposited in the NCBI EST database. More than half of the deposited sequences correspond to genes of unknown function. Approximately 40-50% of the sequences form unique clusters, suggesting that approximately 20-25% of the total schistosome genes have been discovered. Efforts to develop low resolution chromosome maps are in progress. There is a genome sequencing program underway that will provide 3X sequence coverage of the S. mansoni genome that will result in approximately 95% gene discovery. The genomics era has provided the resources to usher in the era of functional genomics that will involve microarrays to focus on specific metabolic pathways, proteomics to identify relevant proteins and protein-protein interactions to understand critical parasite pathways. Functional genomics is expected to accelerate the development of control and treatment strategies for schistosomiasis.
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Affiliation(s)
- Philip T LoVerde
- Department of Microbiology and Immunology, State University of New York, Buffalo, NY 14214, USA.
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39
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Shirley MW, Ivens A, Gruber A, Madeira AMBN, Wan KL, Dear PH, Tomley FM. The Eimeria genome projects: a sequence of events. Trends Parasitol 2004; 20:199-201. [PMID: 15105014 DOI: 10.1016/j.pt.2004.02.005] [Citation(s) in RCA: 83] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Martin W Shirley
- Institute for Animal Health, Compton Laboratory, Compton, Nr Newbury, Berkshire RG20 7NN, UK.
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40
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Stacey G, Vodkin L, Parrott WA, Shoemaker RC. National Science Foundation-sponsored workshop report. Draft plan for soybean genomics. PLANT PHYSIOLOGY 2004; 135:59-70. [PMID: 15141067 PMCID: PMC429333 DOI: 10.1104/pp.103.037903] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2003] [Revised: 02/20/2004] [Accepted: 02/20/2004] [Indexed: 05/11/2023]
Abstract
Recent efforts to coordinate and define a research strategy for soybean (Glycine max) genomics began with the establishment of a Soybean Genetics Executive Committee, which will serve as a communication focal point between the soybean research community and granting agencies. Secondly, a workshop was held to define a strategy to incorporate existing tools into a framework for advancing soybean genomics research. This workshop identified and ranked research priorities essential to making more informed decisions as to how to proceed with large scale sequencing and other genomics efforts. Most critical among these was the need to finalize a physical map and to obtain a better understanding of genome microstructure. Addressing these research needs will require pilot work on new technologies to demonstrate an ability to discriminate between recently duplicated regions in the soybean genome and pilot projects to analyze an adequate amount of random genome sequence to identify and catalog common repeats. The development of additional markers, reverse genetics tools, and bioinformatics is also necessary. Successful implementation of these goals will require close coordination among various working groups.
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Affiliation(s)
- Gary Stacey
- National Center for Soybean Biotechnology, Department of Plant Microbiology and Pathology, University of Missouri, Columbia, Missouri 65203, USA.
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41
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Bankier AT, Spriggs HF, Fartmann B, Konfortov BA, Madera M, Vogel C, Teichmann SA, Ivens A, Dear PH. Integrated mapping, chromosomal sequencing and sequence analysis of Cryptosporidium parvum. Genome Res 2003; 13:1787-99. [PMID: 12869580 PMCID: PMC403770 DOI: 10.1101/gr.1555203] [Citation(s) in RCA: 39] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2003] [Accepted: 05/19/2003] [Indexed: 11/24/2022]
Abstract
The apicomplexan Cryptosporidium parvum is one of the most prevalent protozoan parasites of humans. We report the physical mapping of the genome of the Iowa isolate, sequencing and analysis of chromosome 6, and approximately 0.9 Mbp of sequence sampled from the remainder of the genome. To construct a robust physical map, we devised a novel and general strategy, enabling accurate placement of clones regardless of clone artefacts. Analysis reveals a compact genome, unusually rich in membrane proteins. As in Plasmodium falciparum, the mean size of the predicted proteins is larger than that in other sequenced eukaryotes. We find several predicted proteins of interest as potential therapeutic targets, including one exhibiting similarity to the chloroquine resistance protein of Plasmodium. Coding sequence analysis argues against the conventional phylogenetic position of Cryptosporidium and supports an earlier suggestion that this genus arose from an early branching within the Apicomplexa. In agreement with this, we find no significant synteny and surprisingly little protein similarity with Plasmodium. Finally, we find two unusual and abundant repeats throughout the genome. Among sequenced genomes, one motif is abundant only in C. parvum, whereas the other is shared with (but has previously gone unnoticed in) all known genomes of the Coccidia and Haemosporida. These motifs appear to be unique in their structure, distribution and sequences.
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Affiliation(s)
- Alan T Bankier
- Medical Research Council (MRC) Laboratory of Molecular Biology, Cambridge CB 2 2QH, UK
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42
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Ellis JT, Morrison DA, Reichel MP. Genomics and its impact on parasitology and the potential for development of new parasite control methods. DNA Cell Biol 2003; 22:395-403. [PMID: 12906733 DOI: 10.1089/104454903767650667] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Parasitic organisms remain the scourge of the developed and underdeveloped worlds. Malaria, schistosomiasis, leishmaniasis, and trypanosomiasis, for example, still result in a large number of human deaths each year worldwide, while drug resistance among nematodes still poses a major problem to the livestock industries. Genome projects involving parasitic organisms are now abundant, and technologies for the investigations of the parasite transcriptome and proteome are well established. There is no doubt the era of the "omics" is with parasitology, and current trends in the discipline are addressing fundamental biological questions that can make best use of the new technologies, as well as the vast amount of new data being generated. Will this become the "golden age of molecular parasitology," leading to the control of parasitic diseases that have plagued mankind for hundreds of years? The primary aim of this paper is to review advances in the general area of parasite genomics, and to outline where the application of "omics" technologies can and have impacted on the development of new control methods for parasitic organisms.
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Affiliation(s)
- John T Ellis
- Institute for the Biotechnology of Infectious Diseases, University of Technology, Sydney, Gore Hill, NSW 2065, Australia.
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Heilig R, Eckenberg R, Petit JL, Fonknechten N, Da Silva C, Cattolico L, Levy M, Barbe V, de Berardinis V, Ureta-Vidal A, Pelletier E, Vico V, Anthouard V, Rowen L, Madan A, Qin S, Sun H, Du H, Pepin K, Artiguenave F, Robert C, Cruaud C, Brüls T, Jaillon O, Friedlander L, Samson G, Brottier P, Cure S, Ségurens B, Anière F, Samain S, Crespeau H, Abbasi N, Aiach N, Boscus D, Dickhoff R, Dors M, Dubois I, Friedman C, Gouyvenoux M, James R, Madan A, Mairey-Estrada B, Mangenot S, Martins N, Ménard M, Oztas S, Ratcliffe A, Shaffer T, Trask B, Vacherie B, Bellemere C, Belser C, Besnard-Gonnet M, Bartol-Mavel D, Boutard M, Briez-Silla S, Combette S, Dufossé-Laurent V, Ferron C, Lechaplais C, Louesse C, Muselet D, Magdelenat G, Pateau E, Petit E, Sirvain-Trukniewicz P, Trybou A, Vega-Czarny N, Bataille E, Bluet E, Bordelais I, Dubois M, Dumont C, Guérin T, Haffray S, Hammadi R, Muanga J, Pellouin V, Robert D, Wunderle E, Gauguet G, Roy A, Sainte-Marthe L, Verdier J, Verdier-Discala C, Hillier L, Fulton L, McPherson J, Matsuda F, Wilson R, Scarpelli C, Gyapay G, Wincker P, Saurin W, Quétier F, Waterston R, Hood L, Weissenbach J. The DNA sequence and analysis of human chromosome 14. Nature 2003; 421:601-7. [PMID: 12508121 DOI: 10.1038/nature01348] [Citation(s) in RCA: 66] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2002] [Accepted: 12/03/2002] [Indexed: 11/08/2022]
Abstract
Chromosome 14 is one of five acrocentric chromosomes in the human genome. These chromosomes are characterized by a heterochromatic short arm that contains essentially ribosomal RNA genes, and a euchromatic long arm in which most, if not all, of the protein-coding genes are located. The finished sequence of human chromosome 14 comprises 87,410,661 base pairs, representing 100% of its euchromatic portion, in a single continuous segment covering the entire long arm with no gaps. Two loci of crucial importance for the immune system, as well as more than 60 disease genes, have been localized so far on chromosome 14. We identified 1,050 genes and gene fragments, and 393 pseudogenes. On the basis of comparisons with other vertebrate genomes, we estimate that more than 96% of the chromosome 14 genes have been annotated. From an analysis of the CpG island occurrences, we estimate that 70% of these annotated genes are complete at their 5' end.
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Affiliation(s)
- Roland Heilig
- Genoscope-Centre National de Séquençage, 91000, Evry, France.
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44
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Waugh R, Dear PH, Powell W, Machray GC. Physical education - new technologies for mapping plant genomes. TRENDS IN PLANT SCIENCE 2002; 7:521-523. [PMID: 12475484 DOI: 10.1016/s1360-1385(02)02373-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
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45
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de Pontbriand A, Wang XP, Cavaloc Y, Mattei MG, Galibert F. Synteny comparison between apes and human using fine-mapping of the genome. Genomics 2002; 80:395-401. [PMID: 12376093 DOI: 10.1006/geno.2002.6847] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Comparing the genomes of the great apes and human should provide novel information concerning the origins of humankind. Relative to the great apes, the human karyotype has one fewer chromosome pair, as human chromosome 2 derived from the telomeric fusion of two ancestral primate chromosomes. To identify the genomic rearrangements that accompanied human speciation, we initiated a comparative study between human, chimpanzee, and gorilla. Using the HAPPY mapping method, an acellular adaptation of the radiation hybrid method, we mapped a few hundred markers on the human, chimpanzee, and gorilla genomes. This allowed us to identify several chromosome rearrangements, in particular a pericentric inversion and a translocation. We precisely localized the synteny breakpoint that led to the formation of human chromosome 2. This breakpoint was confirmed by FISH mapping.
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46
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Lien S, Szyda J, Leeflang EP, Hubert R, Zhang L, Schmitt K, Arnheim N. Single‐Sperm Typing. ACTA ACUST UNITED AC 2002; Chapter 1:Unit 1.6. [DOI: 10.1002/0471142905.hg0106s32] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
| | | | | | - Rene Hubert
- University of Southern California Los Angeles California
| | - Lin Zhang
- University of Southern California Los Angeles California
| | - Karin Schmitt
- University of Southern California Los Angeles California
| | - Norman Arnheim
- University of Southern California Los Angeles California
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47
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Rungpragayphan S, Kawarasaki Y, Imaeda T, Kohda K, Nakano H, Yamane T. High-throughput, cloning-independent protein library construction by combining single-molecule DNA amplification with in vitro expression. J Mol Biol 2002; 318:395-405. [PMID: 12051846 DOI: 10.1016/s0022-2836(02)00094-3] [Citation(s) in RCA: 42] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
A novel, cloning-independent strategy for construction of protein libraries has been developed and demonstrated experimentally. A pool of genes is prepared and thereafter extensively diluted to give one molecule of DNA per well. Each individual molecule is amplified separately by polymerase chain reaction (single-molecule PCR) yielding a PCR library. Subsequently, the PCR library is directly transformed into a protein library by means of in vitro coupled transcription/translation. Amounts of DNA produced by the single-molecule PCR were equal and uniformity of amounts of successively in vitro synthesized proteins, which were critical for quantitative comparison among clones in the library, was better than that of the classical in vivo expression system. Here, we describe a library of anti-human serum albumin single-chain antibodies (anti-HSA-scFv) originating from a monoclonal anti-HSA-scFv which was constructed and screened in order to demonstrate its real practicability. Application of the strategy described for high-throughput generation and screening of protein libraries is discussed.
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Affiliation(s)
- Suang Rungpragayphan
- Laboratory of Molecular Biotechnology, Graduate School of Biological and Agricultural, Sciences, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan
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48
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Taylor MS, Semple CAM. Sushi gets serious: the draft genome sequence of the pufferfish Fugu rubripes. Genome Biol 2002; 3:reviews1025. [PMID: 12225591 PMCID: PMC139409 DOI: 10.1186/gb-2002-3-9-reviews1025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
The publication of the Fugu rubripes draft genome sequence will take this fish from culinary delicacy to potent tool in deciphering the mysteries of human genome function.
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Affiliation(s)
- Martin S Taylor
- MRC Human Genetics Unit, Western General Hospital, Crewe Road, Edinburgh EH4 2XU, UK
| | - Colin AM Semple
- MRC Human Genetics Unit, Western General Hospital, Crewe Road, Edinburgh EH4 2XU, UK
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49
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Abstract
Dictyostelium is an attractive model system for the study of mechanisms basic to cellular function or complex multicellular developmental processes. Recent advances in Dictyostelium genomics have generated a wide spectrum of resources. However, much of the current genomic sequence information is still not currently available through GenBank or related databases. Thus, many investigators are unaware that extensive sequence data from Dictyostelium has been compiled, or of its availability and access. Here, we discuss progress in Dictyostelium genomics and gene annotation, and highlight the primary portals for sequence access, manipulation and analysis (http://genome.imb-jena.de/dictyostelium/; http://dictygenome.bcm.tmc.edu/; http://www.sanger. ac.uk/Projects/D_discoideum/; http://www.csm.biol. tsukuba.ac.jp/cDNAproject.html).
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Affiliation(s)
- Lisa Kreppel
- Laboratory of Cellular and Developmental Biology (50/3351), National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-8028, USA
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50
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Abstract
Almost 5 years ago, an international consortium of sequencing centers and funding agencies was formed to sequence the genome of the human malaria parasite Plasmodium falciparum. A novel chromosome by chromosome shotgun strategy was devised to sequence this very AT-rich genome. Two of the 14 chromosomes have been completed and the remaining chromosomes are in the final stages of gap closure. The consortium recently developed plans for the annotation and analysis of the complete genome sequence and its publication in 2002.
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Affiliation(s)
- M J Gardner
- The Institute for Genomic Research, 9712 Medical Center Drive, Rockville, MD 20850, USA.
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