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Susan Thomson

Bio: Susan Thomson is an academic researcher from Plant & Food Research. The author has contributed to research in topics: Genome & Population. The author has an hindex of 15, co-authored 31 publications receiving 2418 citations. Previous affiliations of Susan Thomson include Western General Hospital & University of Otago.

Papers
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Journal ArticleDOI
Xun Xu1, Shengkai Pan1, Shifeng Cheng1, Bo Zhang1, Mu D1, Peixiang Ni1, Gengyun Zhang1, Shuang Yang1, Ruiqiang Li1, Jun Wang1, Gisella Orjeda2, Frank Guzman2, Torres M2, Roberto Lozano2, Olga Ponce2, Diana Martinez2, De la Cruz G3, Chakrabarti Sk3, Patil Vu3, Konstantin G. Skryabin4, Boris B. Kuznetsov4, Nikolai V. Ravin4, Tatjana V. Kolganova4, Alexey V. Beletsky4, Andrey V. Mardanov4, Di Genova A5, Dan Bolser5, David M. A. Martin5, Li G, Yang Y, Hanhui Kuang6, Hu Q6, Xiong X7, Gerard J. Bishop8, Boris Sagredo, Nilo Mejía, Zagorski W9, Robert Gromadka9, Jan Gawor9, Pawel Szczesny9, Sanwen Huang, Zhang Z, Liang C, He J, Li Y, He Y, Xu J, Youjun Zhang, Xie B, Du Y, Qu D, Merideth Bonierbale10, Marc Ghislain10, Herrera Mdel R, Giovanni Giuliano, Marco Pietrella, Gaetano Perrotta, Paolo Facella, O'Brien K11, Sergio Enrique Feingold, Barreiro Le, Massa Ga, Luis Aníbal Diambra12, Brett R Whitty13, Brieanne Vaillancourt13, Lin H13, Alicia N. Massa13, Geoffroy M13, Lundback S13, Dean DellaPenna13, Buell Cr14, Sanjeev Kumar Sharma14, David Marshall14, Robbie Waugh14, Glenn J. Bryan14, Destefanis M15, Istvan Nagy15, Dan Milbourne15, Susan Thomson16, Mark Fiers16, Jeanne M. E. Jacobs16, Kåre Lehmann Nielsen17, Mads Sønderkær17, Marina Iovene18, Giovana Augusta Torres18, Jiming Jiang18, Richard E. Veilleux19, Christian W. B. Bachem20, de Boer J20, Theo Borm20, Bjorn Kloosterman20, van Eck H20, Erwin Datema20, Hekkert Bt20, Aska Goverse20, van Ham Rc20, Richard G. F. Visser20 
10 Jul 2011-Nature
TL;DR: The potato genome sequence provides a platform for genetic improvement of this vital crop and predicts 39,031 protein-coding genes and presents evidence for at least two genome duplication events indicative of a palaeopolyploid origin.
Abstract: Potato (Solanum tuberosum L.) is the world's most important non-grain food crop and is central to global food security. It is clonally propagated, highly heterozygous, autotetraploid, and suffers acute inbreeding depression. Here we use a homozygous doubled-monoploid potato clone to sequence and assemble 86% of the 844-megabase genome. We predict 39,031 protein-coding genes and present evidence for at least two genome duplication events indicative of a palaeopolyploid origin. As the first genome sequence of an asterid, the potato genome reveals 2,642 genes specific to this large angiosperm clade. We also sequenced a heterozygous diploid clone and show that gene presence/absence variants and other potentially deleterious mutations occur frequently and are a likely cause of inbreeding depression. Gene family expansion, tissue-specific expression and recruitment of genes to new pathways contributed to the evolution of tuber development. The potato genome sequence provides a platform for genetic improvement of this vital crop.

1,813 citations

Journal ArticleDOI
TL;DR: The work presented here has led to a greatly improved ordering of the potato reference genome superscaffolds into chromosomal “pseudomolecules”.
Abstract: The genome of potato, a major global food crop, was recently sequenced. The work presented here details the integration of the potato reference genome (DM) with a new sequence-tagged site marker−based linkage map and other physical and genetic maps of potato and the closely related species tomato. Primary anchoring of the DM genome assembly was accomplished by the use of a diploid segregating population, which was genotyped with several types of molecular genetic markers to construct a new ~936 cM linkage map comprising 2469 marker loci. In silico anchoring approaches used genetic and physical maps from the diploid potato genotype RH89-039-16 (RH) and tomato. This combined approach has allowed 951 superscaffolds to be ordered into pseudomolecules corresponding to the 12 potato chromosomes. These pseudomolecules represent 674 Mb (~93%) of the 723 Mb genome assembly and 37,482 (~96%) of the 39,031 predicted genes. The superscaffold order and orientation within the pseudomolecules are closely collinear with independently constructed high density linkage maps. Comparisons between marker distribution and physical location reveal regions of greater and lesser recombination, as well as regions exhibiting significant segregation distortion. The work presented here has led to a greatly improved ordering of the potato reference genome superscaffolds into chromosomal “pseudomolecules”.

236 citations

Journal ArticleDOI
Sarah M. Pilkington1, Ross N. Crowhurst1, Elena Hilario1, Simona Nardozza1, Lena G. Fraser1, Yongyan Peng1, Yongyan Peng2, Kularajathevan Gunaseelan1, Robert M. Simpson, Jibran Tahir, Simon C. Deroles, Kerry Robert Templeton1, Zhiwei Luo1, Marcus Davy, Canhong Cheng1, Mark A McNeilage1, Davide Scaglione, Yifei Liu3, Qiong Zhang, P. M. Datson1, Nihal De Silva1, Susan E. Gardiner, H. Bassett, David Chagné, John McCallum, Helge Dzierzon, Cecilia H. Deng1, Yen-Yi Wang1, Lorna Barron1, Kelvina I. Manako1, Judith H. Bowen1, Toshi Foster, Zoe A. Erridge, Heather R. Tiffin, Chethi N. Waite, Kevin M. Davies, Ella R. P. Grierson, William A. Laing, Rebecca Kirk1, Xiuyin Chen1, Marion Wood1, Mirco Montefiori1, David A. Brummell, Kathy E. Schwinn, Andrew Catanach, Christina G. Fullerton1, Dawei Li, Sathiyamoorthy Meiyalaghan, Niels J. Nieuwenhuizen1, Nicola C. Read2, Roneel Prakash1, Donald A. Hunter, Huaibi Zhang, Marian J. McKenzie, Mareike Knäbel, Alastair Harris2, Andrew C. Allan1, Andrew C. Allan2, Andrew P. Gleave1, Angela Chen2, Bart J. Janssen1, Blue Plunkett1, Charles Ampomah-Dwamena1, Charlotte Voogd1, Davin Leif1, Davin Leif2, Declan J. Lafferty2, Edwige J. F. Souleyre1, Erika Varkonyi-Gasic1, Francesco Gambi1, Jenny Hanley2, Jia-Long Yao1, Joey Cheung2, Karine M. David2, Ben Warren1, K.B. Marsh1, Kimberley C. Snowden1, Kui Lin-Wang1, Lara Brian1, Marcela Martínez-Sánchez1, Mindy Y. Wang1, Nadeesha R. Ileperuma1, Nikolai Macnee1, Robert Campin1, Peter A. McAtee1, Revel S.M. Drummond1, Richard V. Espley1, Hilary S. Ireland1, Rongmei Wu1, Ross G. Atkinson1, Sakuntala Karunairetnam1, Sean Bulley, Shayhan Chunkath2, Zac Hanley1, Roy Storey, Amali H. Thrimawithana1, Susan Thomson, Charles David, Raffaele Testolin4, Hongwen Huang3, Roger P. Hellens5, Robert J. Schaffer1, Robert J. Schaffer2 
TL;DR: The use of the manual annotation tool WebApollo facilitated manual checking and correction of gene models enabling improvement of computational prediction, especially relevant for certain types of gene families such as the EXPANSIN like genes.
Abstract: Most published genome sequences are drafts, and most are dominated by computational gene prediction. Draft genomes typically incorporate considerable sequence data that are not assigned to chromosomes, and predicted genes without quality confidence measures. The current Actinidia chinensis (kiwifruit) ‘Hongyang’ draft genome has 164 Mb of sequences unassigned to pseudo-chromosomes, and omissions have been identified in the gene models. A second genome of an A. chinensis (genotype Red5) was fully sequenced. This new sequence resulted in a 554.0 Mb assembly with all but 6 Mb assigned to pseudo-chromosomes. Pseudo-chromosomal comparisons showed a considerable number of translocation events have occurred following a whole genome duplication (WGD) event some consistent with centromeric Robertsonian-like translocations. RNA sequencing data from 12 tissues and ab initio analysis informed a genome-wide manual annotation, using the WebApollo tool. In total, 33,044 gene loci represented by 33,123 isoforms were identified, named and tagged for quality of evidential support. Of these 3114 (9.4%) were identical to a protein within ‘Hongyang’ The Kiwifruit Information Resource (KIR v2). Some proportion of the differences will be varietal polymorphisms. However, as most computationally predicted Red5 models required manual re-annotation this proportion is expected to be small. The quality of the new gene models was tested by fully sequencing 550 cloned ‘Hort16A’ cDNAs and comparing with the predicted protein models for Red5 and both the original ‘Hongyang’ assembly and the revised annotation from KIR v2. Only 48.9% and 63.5% of the cDNAs had a match with 90% identity or better to the original and revised ‘Hongyang’ annotation, respectively, compared with 90.9% to the Red5 models. Our study highlights the need to take a cautious approach to draft genomes and computationally predicted genes. Our use of the manual annotation tool WebApollo facilitated manual checking and correction of gene models enabling improvement of computational prediction. This utility was especially relevant for certain types of gene families such as the EXPANSIN like genes. Finally, this high quality gene set will supply the kiwifruit and general plant community with a new tool for genomics and other comparative analysis.

129 citations

Journal ArticleDOI
11 Oct 2010-PLOS ONE
TL;DR: In this paper, a combination of genetic mapping, fast neutron mutant analysis, allelic diversity, transcript quantification and transient expression complementation studies was used to identify the pea genes A and A2.
Abstract: Background: The genetic regulation of flower color has been widely studied, notably as a character used by Mendel and his predecessors in the study of inheritance in pea. Methodology/Principal Findings: We used the genome sequence of model legumes, together with their known synteny to the pea genome to identify candidate genes for the A and A2 loci in pea. We then used a combination of genetic mapping, fast neutron mutant analysis, allelic diversity, transcript quantification and transient expression complementation studies to confirm the identity of the candidates. Conclusions/Significance: We have identified the pea genes A and A2. A is the factor determining anthocyanin pigmentation in pea that was used by Gregor Mendel 150 years ago in his study of inheritance. The A gene encodes a bHLH transcription factor. The white flowered mutant allele most likely used by Mendel is a simple G to A transition in a splice donor site that leads to a mis-spliced mRNA with a premature stop codon, and we have identified a second rare mutant allele. The A2 gene encodes a WD40 protein that is part of an evolutionarily conserved regulatory complex.

113 citations

Journal ArticleDOI
TL;DR: Evidence is provided for a new mechanism of chemoprevention, wherein sublethal doses of phenethyl isothiocyanate (PEITC) sensitize cells to Fas-mediated apoptosis, and it is proposed that PEITC promotes apoptosis by directly modifying intracellular thiol proteins.
Abstract: The chemopreventive properties of the isothiocyanates have been attributed to their ability to inhibit phase I enzymes that activate procarcinogens, induce phase II protective enzymes and trigger apoptosis in transformed cells. In this study we provide evidence for a new mechanism of chemoprevention, wherein sublethal doses of phenethyl isothiocyanate (PEITC) sensitize cells to Fas-mediated apoptosis. The phenomenon was observed in the Fas-resistant T24 bladder carcinoma cell line and in Jurkat T cells overexpressing the anti-apoptotic protein Bcl-2. Caspase-3-like activity was increased up to 20-fold of that observed with either PEITC or anti-Fas antibody alone. While PEITC activated ERK, JNK and p38, inhibitors of these MAP kinases did not block apoptosis. PEITC transiently depleted cellular glutathione, providing a putative mechanism for sensitizing the cells to apoptosis. However, lowering glutathione with buthionine sulfoximine did not mimic the effect of PEITC. Instead, we propose that PEITC promotes apoptosis by directly modifying intracellular thiol proteins. The ability of PEITC to sensitize cells to receptor-mediated apoptosis provides an additional mechanism to explain its chemopreventive properties.

63 citations


Cited by
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Journal ArticleDOI
TL;DR: Phytozome provides a view of the evolutionary history of every plant gene at the level of sequence, gene structure, gene family and genome organization, while at the same time providing access to the sequences and functional annotations of a growing number of complete plant genomes.
Abstract: The number of sequenced plant genomes and associated genomic resources is growing rapidly with the advent of both an increased focus on plant genomics from funding agencies, and the application of inexpensive next generation sequencing. To interact with this increasing body of data, we have developed Phytozome (http://www.phytozome.net), a comparative hub for plant genome and gene family data and analysis. Phytozome provides a view of the evolutionary history of every plant gene at the level of sequence, gene structure, gene family and genome organization, while at the same time providing access to the sequences and functional annotations of a growing number (currently 25) of complete plant genomes, including all the land plants and selected algae sequenced at the Joint Genome Institute, as well as selected species sequenced elsewhere. Through a comprehensive plant genome database and web portal, these data and analyses are available to the broader plant science research community, providing powerful comparative genomics tools that help to link model systems with other plants of economic and ecological importance.

3,728 citations

Journal ArticleDOI
Shusei Sato, Satoshi Tabata, Hideki Hirakawa, Erika Asamizu  +320 moreInstitutions (51)
31 May 2012-Nature
TL;DR: A high-quality genome sequence of domesticated tomato is presented, a draft sequence of its closest wild relative, Solanum pimpinellifolium, is compared, and the two tomato genomes are compared to each other and to the potato genome.
Abstract: Tomato (Solanum lycopersicum) is a major crop plant and a model system for fruit development. Solanum is one of the largest angiosperm genera1 and includes annual and perennial plants from diverse habitats. Here we present a high-quality genome sequence of domesticated tomato, a draft sequence of its closest wild relative, Solanum pimpinellifolium2, and compare them to each other and to the potato genome (Solanum tuberosum). The two tomato genomes show only 0.6% nucleotide divergence and signs of recent admixture, but show more than 8% divergence from potato, with nine large and several smaller inversions. In contrast to Arabidopsis, but similar to soybean, tomato and potato small RNAs map predominantly to gene-rich chromosomal regions, including gene promoters. The Solanum lineage has experienced two consecutive genome triplications: one that is ancient and shared with rosids, and a more recent one. These triplications set the stage for the neofunctionalization of genes controlling fruit characteristics, such as colour and fleshiness.

2,687 citations

01 Jan 2011
TL;DR: The sheer volume and scope of data posed by this flood of data pose a significant challenge to the development of efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data.
Abstract: Rapid improvements in sequencing and array-based platforms are resulting in a flood of diverse genome-wide data, including data from exome and whole-genome sequencing, epigenetic surveys, expression profiling of coding and noncoding RNAs, single nucleotide polymorphism (SNP) and copy number profiling, and functional assays. Analysis of these large, diverse data sets holds the promise of a more comprehensive understanding of the genome and its relation to human disease. Experienced and knowledgeable human review is an essential component of this process, complementing computational approaches. This calls for efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data. However, the sheer volume and scope of data pose a significant challenge to the development of such tools.

2,187 citations

Journal ArticleDOI
04 Oct 2012-Nature
TL;DR: The sequencing and assembly of the oyster genome using short reads and a fosmid-pooling strategy and transcriptomes of development and stress response and the proteome of the shell are reported, showing that shell formation in molluscs is more complex than currently understood and involves extensive participation of cells and their exosomes.
Abstract: The Pacific oyster Crassostrea gigas belongs to one of the most species-rich but genomically poorly explored phyla, the Mollusca. Here we report the sequencing and assembly of the oyster genome using short reads and a fosmid-pooling strategy, along with transcriptomes of development and stress response and the proteome of the shell. The oyster genome is highly polymorphic and rich in repetitive sequences, with some transposable elements still actively shaping variation. Transcriptome studies reveal an extensive set of genes responding to environmental stress. The expansion of genes coding for heat shock protein 70 and inhibitors of apoptosis is probably central to the oyster's adaptation to sessile life in the highly stressful intertidal zone. Our analyses also show that shell formation in molluscs is more complex than currently understood and involves extensive participation of cells and their exosomes. The oyster genome sequence fills a void in our understanding of the Lophotrochozoa.

1,806 citations

Journal ArticleDOI
TL;DR: The computational problems surrounding repeats are discussed and strategies used by current bioinformatics systems to solve them are described.
Abstract: Repetitive DNA sequences are abundant in a broad range of species, from bacteria to mammals, and they cover nearly half of the human genome. Repeats have always presented technical challenges for sequence alignment and assembly programs. Next-generation sequencing projects, with their short read lengths and high data volumes, have made these challenges more difficult. From a computational perspective, repeats create ambiguities in alignment and assembly, which, in turn, can produce biases and errors when interpreting results. Simply ignoring repeats is not an option, as this creates problems of its own and may mean that important biological phenomena are missed. We discuss the computational problems surrounding repeats and describe strategies used by current bioinformatics systems to solve them.

1,451 citations