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Dive into the research topics where Todd C. Mockler is active.

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Featured researches published by Todd C. Mockler.


Nature Genetics | 2011

The genome of woodland strawberry ( Fragaria vesca )

Vladimir Shulaev; Daniel J. Sargent; Ross N. Crowhurst; Todd C. Mockler; Otto Folkerts; Arthur L. Delcher; Pankaj Jaiswal; Keithanne Mockaitis; Aaron Liston; Shrinivasrao P. Mane; Paul D. Burns; Thomas M. Davis; Janet P. Slovin; Nahla Bassil; Roger P. Hellens; Clive Evans; Tim Harkins; Chinnappa D. Kodira; Brian Desany; Oswald Crasta; Roderick V. Jensen; Andrew C. Allan; Todd P. Michael; João C. Setubal; Jean Marc Celton; Kelly P. Williams; Sarah H. Holt; Juan Jairo Ruiz Rojas; Mithu Chatterjee; Bo Liu

The woodland strawberry, Fragaria vesca (2n = 2x = 14), is a versatile experimental plant system. This diminutive herbaceous perennial has a small genome (240 Mb), is amenable to genetic transformation and shares substantial sequence identity with the cultivated strawberry (Fragaria × ananassa) and other economically important rosaceous plants. Here we report the draft F. vesca genome, which was sequenced to ×39 coverage using second-generation technology, assembled de novo and then anchored to the genetic linkage map into seven pseudochromosomes. This diploid strawberry sequence lacks the large genome duplications seen in other rosids. Gene prediction modeling identified 34,809 genes, with most being supported by transcriptome mapping. Genes critical to valuable horticultural traits including flavor, nutritional value and flowering time were identified. Macrosyntenic relationships between Fragaria and Prunus predict a hypothetical ancestral Rosaceae genome that had nine chromosomes. New phylogenetic analysis of 154 protein-coding genes suggests that assignment of Populus to Malvidae, rather than Fabidae, is warranted.


Genome Research | 2010

Genome-wide mapping of alternative splicing in Arabidopsis thaliana

Sergei A. Filichkin; Henry D. Priest; Scott A. Givan; Rongkun Shen; Douglas W. Bryant; Samuel E. Fox; Weng-Keen Wong; Todd C. Mockler

Alternative splicing can enhance transcriptome plasticity and proteome diversity. In plants, alternative splicing can be manifested at different developmental stages, and is frequently associated with specific tissue types or environmental conditions such as abiotic stress. We mapped the Arabidopsis transcriptome at single-base resolution using the Illumina platform for ultrahigh-throughput RNA sequencing (RNA-seq). Deep transcriptome sequencing confirmed a majority of annotated introns and identified thousands of novel alternatively spliced mRNA isoforms. Our analysis suggests that at least approximately 42% of intron-containing genes in Arabidopsis are alternatively spliced; this is significantly higher than previous estimates based on cDNA/expressed sequence tag sequencing. Random validation confirmed that novel splice isoforms empirically predicted by RNA-seq can be detected in vivo. Novel introns detected by RNA-seq were substantially enriched in nonconsensus terminal dinucleotide splice signals. Alternative isoforms with premature termination codons (PTCs) comprised the majority of alternatively spliced transcripts. Using an example of an essential circadian clock gene, we show that intron retention can generate relatively abundant PTC(+) isoforms and that this specific event is highly conserved among diverse plant species. Alternatively spliced PTC(+) isoforms can be potentially targeted for degradation by the nonsense mediated mRNA decay (NMD) surveillance machinery or regulate the level of functional transcripts by the mechanism of regulated unproductive splicing and translation (RUST). We demonstrate that the relative ratios of the PTC(+) and reference isoforms for several key regulatory genes can be considerably shifted under abiotic stress treatments. Taken together, our results suggest that like in animals, NMD and RUST may be widespread in plants and may play important roles in regulating gene expression.


PLOS Genetics | 2008

Network Discovery Pipeline Elucidates Conserved Time-of-Day–Specific cis-Regulatory Modules

Todd P. Michael; Todd C. Mockler; Ghislain Breton; Connor McEntee; Amanda Byer; Jonathan D Trout; Samuel P. Hazen; Rongkun Shen; Henry D. Priest; Christopher M. Sullivan; Scott A. Givan; Marcelo J. Yanovsky; Fangxin Hong; Steve A. Kay; Joanne Chory

Correct daily phasing of transcription confers an adaptive advantage to almost all organisms, including higher plants. In this study, we describe a hypothesis-driven network discovery pipeline that identifies biologically relevant patterns in genome-scale data. To demonstrate its utility, we analyzed a comprehensive matrix of time courses interrogating the nuclear transcriptome of Arabidopsis thaliana plants grown under different thermocycles, photocycles, and circadian conditions. We show that 89% of Arabidopsis transcripts cycle in at least one condition and that most genes have peak expression at a particular time of day, which shifts depending on the environment. Thermocycles alone can drive at least half of all transcripts critical for synchronizing internal processes such as cell cycle and protein synthesis. We identified at least three distinct transcription modules controlling phase-specific expression, including a new midnight specific module, PBX/TBX/SBX. We validated the network discovery pipeline, as well as the midnight specific module, by demonstrating that the PBX element was sufficient to drive diurnal and circadian condition-dependent expression. Moreover, we show that the three transcription modules are conserved across Arabidopsis, poplar, and rice. These results confirm the complex interplay between thermocycles, photocycles, and the circadian clock on the daily transcription program, and provide a comprehensive view of the conserved genomic targets for a transcriptional network key to successful adaptation.


PLOS ONE | 2012

Genome-wide SNP detection, validation, and development of an 8K SNP array for apple.

David Chagné; Ross N. Crowhurst; Michela Troggio; Mark W. Davey; Barbara Gilmore; Cindy Lawley; Stijn Vanderzande; Roger P. Hellens; Satish Kumar; Alessandro Cestaro; Riccardo Velasco; Dorrie Main; Jasper Rees; Amy F. Iezzoni; Todd C. Mockler; Larry J. Wilhelm; Eric van de Weg; Susan E. Gardiner; Nahla V. Bassil; Cameron Peace

As high-throughput genetic marker screening systems are essential for a range of genetics studies and plant breeding applications, the International RosBREED SNP Consortium (IRSC) has utilized the Illumina Infinium® II system to develop a medium- to high-throughput SNP screening tool for genome-wide evaluation of allelic variation in apple (Malus×domestica) breeding germplasm. For genome-wide SNP discovery, 27 apple cultivars were chosen to represent worldwide breeding germplasm and re-sequenced at low coverage with the Illumina Genome Analyzer II. Following alignment of these sequences to the whole genome sequence of ‘Golden Delicious’, SNPs were identified using SoapSNP. A total of 2,113,120 SNPs were detected, corresponding to one SNP to every 288 bp of the genome. The Illumina GoldenGate® assay was then used to validate a subset of 144 SNPs with a range of characteristics, using a set of 160 apple accessions. This validation assay enabled fine-tuning of the final subset of SNPs for the Illumina Infinium® II system. The set of stringent filtering criteria developed allowed choice of a set of SNPs that not only exhibited an even distribution across the apple genome and a range of minor allele frequencies to ensure utility across germplasm, but also were located in putative exonic regions to maximize genotyping success rate. A total of 7867 apple SNPs was established for the IRSC apple 8K SNP array v1, of which 5554 were polymorphic after evaluation in segregating families and a germplasm collection. This publicly available genomics resource will provide an unprecedented resolution of SNP haplotypes, which will enable marker-locus-trait association discovery, description of the genetic architecture of quantitative traits, investigation of genetic variation (neutral and functional), and genomic selection in apple.


Plant Physiology | 2011

Brachypodium as a model for the grasses: Today and the future

Jelena Brkljacic; Erich Grotewold; Randy Scholl; Todd C. Mockler; David F. Garvin; Philippe Vain; Thomas P. Brutnell; Richard Sibout; Michael W. Bevan; Hikmet Budak; Ana L. Caicedo; Caixia Gao; Yong-Qiang Q. Gu; Samuel P. Hazen; Ben F. Holt; Shin-Young Hong; Mark C. Jordan; Antonio J. Manzaneda; Thomas Mitchell-Olds; Keiichi Mochida; Luis A. J. Mur; Chung-Mo Park; John C. Sedbrook; Michelle Watt; Shao Jian Zheng; John P. Vogel

Over the past several years, Brachypodium distachyon (Brachypodium) has emerged as a tractable model system to study biological questions relevant to the grasses. To place its relevance in the larger context of plant biology, we outline here the expanding adoption of Brachypodium as a model grass and compare this to the early history of another plant model, Arabidopsis thaliana. In this context, Brachypodium has followed an accelerated path in which the development of genomic resources, most notably a whole genome sequence, occurred concurrently with the generation of other experimental tools (e.g. highly efficient transformation and large collections of natural accessions). This update provides a snapshot of available and upcoming Brachypodium resources and an overview of the community including the trajectory of Brachypodium as a model grass.


Nature | 2013

Architecture and evolution of a minute plant genome

Enrique Ibarra-Laclette; Eric Lyons; Gustavo Hernández-Guzmán; Claudia Anahí Pérez-Torres; Lorenzo Carretero-Paulet; Tien Hao Chang; Tianying Lan; Andreanna J. Welch; María Jazmín Abraham Juárez; June Simpson; Araceli Fernández-Cortés; Mario A. Arteaga-Vazquez; Elsa Góngora-Castillo; Gustavo J. Acevedo-Hernández; Stephan C. Schuster; Heinz Himmelbauer; André E. Minoche; Sen Xu; Michael Lynch; Araceli Oropeza-Aburto; Sergio Alan Cervantes-Pérez; María de J Ortega-Estrada; Jacob Israel Cervantes-Luevano; Todd P. Michael; Todd C. Mockler; Douglas W. Bryant; Alfredo Herrera-Estrella; Victor A. Albert; Luis Herrera-Estrella

It has been argued that the evolution of plant genome size is principally unidirectional and increasing owing to the varied action of whole-genome duplications (WGDs) and mobile element proliferation. However, extreme genome size reductions have been reported in the angiosperm family tree. Here we report the sequence of the 82-megabase genome of the carnivorous bladderwort plant Utricularia gibba. Despite its tiny size, the U. gibba genome accommodates a typical number of genes for a plant, with the main difference from other plant genomes arising from a drastic reduction in non-genic DNA. Unexpectedly, we identified at least three rounds of WGD in U. gibba since common ancestry with tomato (Solanum) and grape (Vitis). The compressed architecture of the U. gibba genome indicates that a small fraction of intergenic DNA, with few or no active retrotransposons, is sufficient to regulate and integrate all the processes required for the development and reproduction of a complex organism.


PLOS Biology | 2008

A morning-specific phytohormone gene expression program underlying rhythmic plant growth.

Todd P. Michael; Ghislain Breton; Samuel P. Hazen; Henry D. Priest; Todd C. Mockler; Steve A. Kay; Joanne Chory

Most organisms use daily light/dark cycles as timing cues to control many essential physiological processes. In plants, growth rates of the embryonic stem (hypocotyl) are maximal at different times of day, depending on external photoperiod and the internal circadian clock. However, the interactions between light signaling, the circadian clock, and growth-promoting hormone pathways in growth control remain poorly understood. At the molecular level, such growth rhythms could be attributed to several different layers of time-specific control such as phasing of transcription, signaling, or protein abundance. To determine the transcriptional component associated with the rhythmic control of growth, we applied temporal analysis of the Arabidopsis thaliana seedling transcriptome under multiple growth conditions and mutant backgrounds using DNA microarrays. We show that a group of plant hormone-associated genes are coexpressed at the time of day when hypocotyl growth rate is maximal. This expression correlates with overrepresentation of a cis-acting element (CACATG) in phytohormone gene promoters, which is sufficient to confer the predicted diurnal and circadian expression patterns in vivo. Using circadian clock and light signaling mutants, we show that both internal coincidence of phytohormone signaling capacity and external coincidence with darkness are required to coordinate wild-type growth. From these data, we argue that the circadian clock indirectly controls growth by permissive gating of light-mediated phytohormone transcript levels to the proper time of day. This temporal integration of hormone pathways allows plants to fine tune phytohormone responses for seasonal and shade-appropriate growth regulation.


Nature Genetics | 2015

The pineapple genome and the evolution of CAM photosynthesis

Ray Ming; Robert VanBuren; Ching Man Wai; Haibao Tang; Michael C. Schatz; John E. Bowers; Eric Lyons; Ming Li Wang; Jung Chen; Eric Biggers; Jisen Zhang; Lixian Huang; Lingmao Zhang; Wenjing Miao; Jian Zhang; Zhangyao Ye; Chenyong Miao; Zhicong Lin; Hao Wang; Hongye Zhou; Won Cheol Yim; Henry D. Priest; Chunfang Zheng; Margaret R. Woodhouse; Patrick P. Edger; Romain Guyot; Hao Bo Guo; Hong Guo; Guangyong Zheng; Ratnesh Singh

Pineapple (Ananas comosus (L.) Merr.) is the most economically valuable crop possessing crassulacean acid metabolism (CAM), a photosynthetic carbon assimilation pathway with high water-use efficiency, and the second most important tropical fruit. We sequenced the genomes of pineapple varieties F153 and MD2 and a wild pineapple relative, Ananas bracteatus accession CB5. The pineapple genome has one fewer ancient whole-genome duplication event than sequenced grass genomes and a conserved karyotype with seven chromosomes from before the ρ duplication event. The pineapple lineage has transitioned from C3 photosynthesis to CAM, with CAM-related genes exhibiting a diel expression pattern in photosynthetic tissues. CAM pathway genes were enriched with cis-regulatory elements associated with the regulation of circadian clock genes, providing the first cis-regulatory link between CAM and circadian clock regulation. Pineapple CAM photosynthesis evolved by the reconfiguration of pathways in C3 plants, through the regulatory neofunctionalization of preexisting genes and not through the acquisition of neofunctionalized genes via whole-genome or tandem gene duplication.


New Phytologist | 2012

Genome resequencing reveals multiscale geographic structure and extensive linkage disequilibrium in the forest tree Populus trichocarpa

Gancho Trifonu Slavov; Stephen P. DiFazio; Joel Martin; Wendy Schackwitz; Wellington Muchero; Eli Rodgers-Melnick; Mindie F. Lipphardt; Christa Pennacchio; Uffe Hellsten; Len A. Pennacchio; Lee E. Gunter; Priya Ranjan; Kelly J. Vining; Kyle R. Pomraning; Larry J. Wilhelm; Matteo Pellegrini; Todd C. Mockler; Michael Freitag; Armando Geraldes; Yousry A. El-Kassaby; Shawn D. Mansfield; Quentin C. B. Cronk; Carl J. Douglas; Steven H. Strauss; Dan Rokhsar; Gerald A. Tuskan

• Plant population genomics informs evolutionary biology, breeding, conservation and bioenergy feedstock development. For example, the detection of reliable phenotype-genotype associations and molecular signatures of selection requires a detailed knowledge about genome-wide patterns of allele frequency variation, linkage disequilibrium and recombination. • We resequenced 16 genomes of the model tree Populus trichocarpa and genotyped 120 trees from 10 subpopulations using 29,213 single-nucleotide polymorphisms. • Significant geographic differentiation was present at multiple spatial scales, and range-wide latitudinal allele frequency gradients were strikingly common across the genome. The decay of linkage disequilibrium with physical distance was slower than expected from previous studies in Populus, with r(2) dropping below 0.2 within 3-6 kb. Consistent with this, estimates of recent effective population size from linkage disequilibrium (N(e) ≈ 4000-6000) were remarkably low relative to the large census sizes of P. trichocarpa stands. Fine-scale rates of recombination varied widely across the genome, but were largely predictable on the basis of DNA sequence and methylation features. • Our results suggest that genetic drift has played a significant role in the recent evolutionary history of P. trichocarpa. Most importantly, the extensive linkage disequilibrium detected suggests that genome-wide association studies and genomic selection in undomesticated populations may be more feasible in Populus than previously assumed.


Nature Biotechnology | 2014

Comparative analyses of C-4 and C-3 photosynthesis in developing leaves of maize and rice

Lin Wang; Angelika Czedik-Eysenberg; Rachel A Mertz; Yaqing Si; Takayuki Tohge; Adriano Nunes-Nesi; Stéphanie Arrivault; Lauren K Dedow; Douglas W. Bryant; Wen Zhou; Jiajia Xu; Sarit Weissmann; Anthony Studer; Pinghua Li; Cankui Zhang; Therese LaRue; Ying Shao; Zehong Ding; Qi Sun; Rohan V. Patel; Robert Turgeon; Xin-Guang Zhu; Nicholas J. Provart; Todd C. Mockler; Alisdair R. Fernie; Mark Stitt; Peng Liu; Thomas P. Brutnell

C4 and C3 photosynthesis differ in the efficiency with which they consume water and nitrogen. Engineering traits of the more efficient C4 photosynthesis into C3 crops could substantially increase crop yields in hot, arid conditions. To identify differences between C4 and C3 photosynthetic mechanisms, we profiled metabolites and gene expression in the developing leaves of Zea mays (maize), a C4 plant, and Oryza sativa (rice), a C3 plant, using a statistical method named the unified developmental model (UDM). Candidate cis-regulatory elements and transcription factors that might regulate photosynthesis were identified, together with differences between C4 and C3 nitrogen and carbon metabolism. The UDM algorithms could be applied to analyze and compare development in other species. These data sets together with community viewers to access and mine them provide a resource for photosynthetic research that will inform efforts to engineer improvements in carbon fixation in economically valuable grass crops.

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