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Dive into the research topics where W. T. B. Thomas is active.

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Featured researches published by W. T. B. Thomas.


Nature Genetics | 2012

Natural variation in a homolog of Antirrhinum CENTRORADIALIS contributed to spring growth habit and environmental adaptation in cultivated barley

Jordi Comadran; Benjamin Kilian; Joanne Russell; Luke Ramsay; Nils Stein; Martin W. Ganal; Paul D. Shaw; Micha Bayer; W. T. B. Thomas; David Marshall; Peter E. Hedley; Alessandro Tondelli; N. Pecchioni; Enrico Francia; Viktor Korzun; Alexander Walther; Robbie Waugh

As early farming spread from the Fertile Crescent in the Near East around 10,000 years before the present, domesticated crops encountered considerable ecological and environmental change. Spring-sown crops that flowered without the need for an extended period of cold to promote flowering and day length–insensitive crops able to exploit the longer, cooler days of higher latitudes emerged and became established. To investigate the genetic consequences of adaptation to these new environments, we identified signatures of divergent selection in the highly differentiated modern-day spring and winter barleys. In one genetically divergent region, we identify a natural variant of the barley homolog of Antirrhinum CENTRORADIALIS (HvCEN) as a contributor to successful environmental adaptation. The distribution of HvCEN alleles in a large collection of wild and landrace accessions indicates that this involved selection and enrichment of preexisting genetic variants rather than the acquisition of mutations after domestication.


Proceedings of the National Academy of Sciences of the United States of America | 2010

Genome-wide association mapping to candidate polymorphism resolution in the unsequenced barley genome

James Cockram; Jon White; Diana L. Zuluaga; David C. Smith; Jordi Comadran; Malcolm Macaulay; Zewei Luo; M J Kearsey; Peter Werner; D. Harrap; Chris Tapsell; Hui Liu; Peter E. Hedley; Nils Stein; Daniela Schulte; Burkhard Steuernagel; David Marshall; W. T. B. Thomas; Luke Ramsay; Ian Mackay; David J. Balding; Robbie Waugh; Donal M. O'Sullivan

Although commonplace in human disease genetics, genome-wide association (GWA) studies have only relatively recently been applied to plants. Using 32 phenotypes in the inbreeding crop barley, we report GWA mapping of 15 morphological traits across ∼500 cultivars genotyped with 1,536 SNPs. In contrast to the majority of human GWA studies, we observe high levels of linkage disequilibrium within and between chromosomes. Despite this, GWA analysis readily detected common alleles of high penetrance. To investigate the potential of combining GWA mapping with comparative analysis to resolve traits to candidate polymorphism level in unsequenced genomes, we fine-mapped a selected phenotype (anthocyanin pigmentation) within a 140-kb interval containing three genes. Of these, resequencing the putative anthocyanin pathway gene HvbHLH1 identified a deletion resulting in a premature stop codon upstream of the basic helix-loop-helix domain, which was diagnostic for lack of anthocyanin in our association and biparental mapping populations. The methodology described here is transferable to species with limited genomic resources, providing a paradigm for reducing the threshold of map-based cloning in unsequenced crops.


Theoretical and Applied Genetics | 1995

Detection of quantitative trait loci for agronomic, yield, grain and disease characters in spring barley (Hordeum vulgare L.)

W. T. B. Thomas; W. Powell; Robbie Waugh; K. J. Chalmers; U. M. Barua; P. Jack; V. Lea; B. P. Forster; J. S. Swanston; R. P. Ellis; P.R. Hanson; Reg Lance

Quantitative trait loci (QTLs) have been revealed for characters in a segregating population from a spring barley cross between genotypes adapted to North-West Europe. Transgressive segregation was found for all the characters, which was confirmed by the regular detection of positive and negative QTLs from both parents. A QTL for all the agronomic, yield and grain characters measured except thousand grain weight was found in the region of the denso dwarfing gene locus. There were considerable differences between the location of QTLs found in the present study and those found in previous studies of North American germ plasm, revealing the diversity between the two gene pools. Thirty-one QTLs were detected in more than one environment for the 13 characters studied, although many more were detected in just one environment. Whilst biometrical analyses suggested the presence of epistasis in the genetic control of some characters, there was little evidence of interactions between the QTLs apart from those associated with yield. QTLs of large effect sometimes masked the presence of QTLs of smaller effect.


Nature Genetics | 2011

INTERMEDIUM-C, a modifier of lateral spikelet fertility in barley, is an ortholog of the maize domestication gene TEOSINTE BRANCHED 1

Luke Ramsay; Jordi Comadran; Arnis Druka; David Marshall; W. T. B. Thomas; Malcolm Macaulay; Katrin MacKenzie; Craig G. Simpson; John L. Fuller; Nicola Bonar; Patrick M. Hayes; Udda Lundqvist; J. D. Franckowiak; Timothy J. Close; Gary J. Muehlbauer; Robbie Waugh

The domestication of cereals has involved common changes in morphological features, such as seed size, seed retention and modification of vegetative and inflorescence architecture that ultimately contributed to an increase in harvested yield. In barley, this process has resulted in two different cultivated types, two-rowed and six-rowed forms, both derived from the wild two-rowed ancestor, with archaeo-botanical evidence indicating the origin of six-rowed barley early in the domestication of the species, some 8,600–8,000 years ago. Variation at SIX-ROWED SPIKE 1 (VRS1) is sufficient to control this phenotype. However, phenotypes imposed by VRS1 alleles are modified by alleles at the INTERMEDIUM-C (INT-C) locus. Here we show that INT-C is an ortholog of the maize domestication gene TEOSINTE BRANCHED 1 (TB1) and identify 17 coding mutations in barley TB1 correlated with lateral spikelet fertility phenotypes.


Theoretical and Applied Genetics | 1998

Introgression of quantitative trait loci (QTLs) determining stripe rust resistance in barley: an example of marker-assisted line development

T. Toojinda; E. Baird; Allan Booth; L.H.M. Broers; Patrick M. Hayes; W. Powell; W. T. B. Thomas; H. Vivar; George Young

Abstract Genome-analysis tools are useful for dissecting complex phenotypes and manipulating determinants of these phenotypes in breeding programs. Quantitative trait locus (QTL)-analysis tools were used to map QTLs conferring adult plant resistance to stripe rust (caused by Puccinia striiformis f.sp. hordei) in barley. The resistance QTLs were introgressed into a genetic background unrelated to the mapping population with one cycle of marker-assisted backcrossing. Doubled-haploid lines were derived from selected backcross lines, phenotyped for stripe-rust resistance, and genotyped with an array of molecular markers. The resistance QTLs that were introgressed were significant determinants of resistance in the new genetic background. Additional resistance QTLs were also detected. The susceptible parent contributed resistance alleles at two of these new QTLs. We hypothesize that favorable alleles were fixed at these new QTLs in the original mapping population. Genetic background may, therefore, have an important role in QTL-transfer experiments. A breeding system is described that integrates single-copy and multiplex markers with confirmation of the target phenotype in doubled-haploid lines phenotyped in field tests. This approach may be useful for simultaneously producing agronomically useful germplasm and contributing to an understanding of quantitatively inherited traits.


Heredity | 1997

Analysis of quantitative traits in barley by the use of Amplified Fragment Length Polymorphisms

W. Powell; W. T. B. Thomas; E. Baird; Pat Lawrence; Allan Booth; B Harrower; James W. McNicol; Robbie Waugh

Amplified fragment length polymorphisms (AFLPs) produced with EcoRI and PstI both in combination with MseI restriction enzymes have been studied in the parents of four barley mapping populations. Averages of 15.9 and 18.7 polymorphic products per assay were produced for the EcoRI/MseI and PstI/MseI combinations, respectively. There was some evidence of interaction between cross combinations and restriction enzyme combinations, with PstI/MseI generating relatively more polymorphic products than EcoRI/MseI in the Blenheim × E224/3 cross combination, the least polymorphic of the four. Three hundred and ninety-eight AFLP products, using both restriction enzyme combinations, were generated in a doubled haploid population of 68 lines produced from the Blenheim × E224/3 cross. These were added to existing marker data for the cross to study the effects of incorporation of AFLPs produced by different restriction enzyme combinations upon genetic maps. Addition of the AFLP data resulted in greater genome coverage, both through linking previously separate groups and extensions to other groups. This increase in coverage appeared to result from AFLPs sampling some different regions of the genome compared to RAPDs and RFLPs, as the map distances spanned by the RAPD and RFLP linkage groups were similar with and without incorporation of AFLPs. There was also evidence that the EcoRI and PstI restriction enzymes sampled different regions of the genome. The revised maps were used in scanning for QTLs controlling a subset of 12 economically important traits measured in the cross. Overall, the QTLs accounted for an average of 53 per cent of the phenotypic variation for the characters. Positive and negative alleles were present in each parent for each character, apart from hot water extract corrected to 1.5 per cent nitrogen (HWEc). Several regions of the genome appeared to be involved in the control of several characters, notably chromosome 2, the denso locus on chromosome 3, the short arm of chromosome 5 and chromosome 7. Although there was considerable similarity to previous results of QTL mapping for the subset of characters, the greater genome coverage afforded by the inclusion of the AFLPs revealed some new QTL locations.


Functional Plant Biology | 2009

Root phenomics of crops: opportunities and challenges

Peter J. Gregory; A. Glyn Bengough; Dmitri V. Grinev; Sonja Schmidt; W. T. B. Thomas; Tobias Wojciechowski; Iain M. Young

Reliable techniques for screening large numbers of plants for root traits are still being developed, but include aeroponic, hydroponic and agar plate systems. Coupled with digital cameras and image analysis software, these systems permit the rapid measurement of root numbers, length and diameter in moderate (typically <1000) numbers of plants. Usually such systems are employed with relatively small seedlings, and information is recorded in 2D. Recent developments in X-ray microtomography have facilitated 3D non-invasive measurement of small root systems grown in solid media, allowing angular distributions to be obtained in addition to numbers and length. However, because of the time taken to scan samples, only a small number can be screened (typically <10 per day, not including analysis time of the large spatial datasets generated) and, depending on sample size, limited resolution may mean that fine roots remain unresolved. Although agar plates allow differences between lines and genotypes to be discerned in young seedlings, the rank order may not be the same when the same materials are grown in solid media. For example, root length of dwarfing wheat (Triticum aestivum L.) lines grown on agar plates was increased by ~40% relative to wild-type and semi-dwarfing lines, but in a sandy loam soil under well watered conditions it was decreased by 24-33%. Such differences in ranking suggest that significant soil environment-genotype interactions are occurring. Developments in instruments and software mean that a combination of high-throughput simple screens and more in-depth examination of root-soil interactions is becoming viable.


Plant Molecular Biology | 2002

Analysis of simple sequence repeats (SSRs) in wild barley from the Fertile Crescent: associations with ecology, geography and flowering time

Victor Ivandic; Christine A. Hackett; Eviatar Nevo; Richard Keith; W. T. B. Thomas; B. P. Forster

Wild barley, Hordeum spontaneum C. Koch, is the progenitor of cultivated barley, Hordeum vulgare. The centre of diversity is in the Fertile Crescent of the Near East, where wild barley grows in a wide range of conditions (temperature, water availability, day length, etc.). The genetic diversity of 39 wild barley genotypes collected from Israel, Turkey and Iran was studied with 33 SSRs of known map location. Analysis of molecular variance (AMOVA) was performed to partition the genetic variation present within from the variation between the three countries of origin. Using classification tree analysis, two (or three) specific SSRs were identified which could correctly classify most of the wild barley genotypes according to country of origin. Associations of SSR variation with flowering time and adaptation to site-of-origin ecology and geography were investigated by two contrasting statistical approaches, linear regression based on SSR length variation and linear regression based on SSR allele class differences. A number of SSRs were significantly associated with flowering time under four different growing regimes (short days, long days, unvernalised and vernalised). Most of the associations observed could be accounted for by close linkage of the SSR loci to earliness per se genes. No associations were found with photoperiodic and vernalisation response genes known to control flowering in cultivated barley suggesting that different genetic factors may be active in wild barley. Novel genomic regions controlling flowering time in wild barley were detected on chromosomes 1HS, 2HL, 3HS and 4HS. Associations of SSRs with site-of-origin ecological and geographic data were found primarily in genomic regions determining plant development. This study shows that the analyses of SSR variation by allele class and repeat length are complementary, and that some SSRs are not necessarily selectively neutral.


Bioinformatics | 2010

Flapjack--graphical genotype visualization.

Iain Milne; Paul D. Shaw; Gordon Stephen; Micha Bayer; Linda Cardle; W. T. B. Thomas; Andrew J. Flavell; David Marshall

SUMMARY New software tools for graphical genotyping are required that can routinely handle the large data volumes generated by the high-throughput single-nucleotide polymorphism (SNP) platforms, genotyping-by-sequencing and other comparable genotyping technologies. Flapjack has been developed to facilitate analysis of these data, providing real time rendering with rapid navigation and comparisons between lines, markers and chromosomes, with visualization, sorting and querying based on associated data, such as phenotypes, quantitative trait loci or other mappable features. AVAILABILITY Flapjack is freely available for Microsoft Windows, Mac OS X, Linux and Solaris, and can be downloaded from http://bioinf.scri.ac.uk/flapjack .


Genetics Research | 2001

Multi-trait QTL mapping in barley using multivariate regression.

Christine A. Hackett; R. C. Meyer; W. T. B. Thomas

Many studies of QTL locations record several different traits on the same population, but most analyses look at this information on a trait-by-trait basis. In this paper we show how the regression approach to QTL mapping of Haley & Knott (1992) may be extended to a multi-trait analysis via multivariate regression, easily programmed in statistical packages. A procedure for identifying QTL locations using forward selection and bootstrapping is proposed. The method is applied to examine the locations for QTLs for six yield characters (the number of fertile stems, the grain number of the main stem, the main stem grain weight, the single plant yield, the plot yield and the thousand grain weight) in a doubled haploid population of spring barley. Several chromosomal locations with effects on more than one trait are found. The method is also suitable for examining a single trait measured in different years or environments, and is used here to examine data on heading date, a highly heritable trait, and plot yield, a trait with moderate heritability and showing QTL-environment interactions.

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W. Powell

National Institute of Agricultural Botany

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B. P. Forster

Scottish Crop Research Institute

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Luke Ramsay

James Hutton Institute

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Andrew J. Flavell

Scottish Crop Research Institute

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