Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Tina T. Hu is active.

Publication


Featured researches published by Tina T. Hu.


Nature | 2010

Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines

Susanna Atwell; Yu S. Huang; Bjarni J. Vilhjálmsson; Glenda Willems; Matthew Horton; Yan Li; Dazhe Meng; Alexander Platt; Aaron M. Tarone; Tina T. Hu; Rong Jiang; N. Wayan Muliyati; Xu Zhang; Muhammad Ali Amer; Ivan Baxter; Benjamin Brachi; Joanne Chory; Caroline Dean; Marilyne Debieu; Juliette de Meaux; Joseph R. Ecker; Nathalie Faure; Joel M. Kniskern; Jonathan D. G. Jones; Todd P. Michael; Adnane Nemri; Fabrice Roux; David E. Salt; Chunlao Tang; Marco Todesco

Although pioneered by human geneticists as a potential solution to the challenging problem of finding the genetic basis of common human diseases, genome-wide association (GWA) studies have, owing to advances in genotyping and sequencing technology, become an obvious general approach for studying the genetics of natural variation and traits of agricultural importance. They are particularly useful when inbred lines are available, because once these lines have been genotyped they can be phenotyped multiple times, making it possible (as well as extremely cost effective) to study many different traits in many different environments, while replicating the phenotypic measurements to reduce environmental noise. Here we demonstrate the power of this approach by carrying out a GWA study of 107 phenotypes in Arabidopsis thaliana, a widely distributed, predominantly self-fertilizing model plant known to harbour considerable genetic variation for many adaptively important traits. Our results are dramatically different from those of human GWA studies, in that we identify many common alleles of major effect, but they are also, in many cases, harder to interpret because confounding by complex genetics and population structure make it difficult to distinguish true associations from false. However, a-priori candidates are significantly over-represented among these associations as well, making many of them excellent candidates for follow-up experiments. Our study demonstrates the feasibility of GWA studies in A. thaliana and suggests that the approach will be appropriate for many other organisms.


Nature Genetics | 2011

The Arabidopsis lyrata genome sequence and the basis of rapid genome size change

Tina T. Hu; Pedro Pattyn; Erica G. Bakker; Jun Cao; Jan Fang Cheng; Richard M. Clark; Noah Fahlgren; Jeffrey A. Fawcett; Jane Grimwood; Heidrun Gundlach; Georg Haberer; Jesse D. Hollister; Stephan Ossowski; Robert P. Ottilar; Asaf Salamov; Korbinian Schneeberger; Manuel Spannagl; Xi Wang; Liang Yang; Mikhail E. Nasrallah; Joy Bergelson; James C. Carrington; Brandon S. Gaut; Jeremy Schmutz; Klaus F. X. Mayer; Yves Van de Peer; Igor V. Grigoriev; Magnus Nordborg; Detlef Weigel; Ya-Long Guo

We report the 207-Mb genome sequence of the North American Arabidopsis lyrata strain MN47 based on 8.3× dideoxy sequence coverage. We predict 32,670 genes in this outcrossing species compared to the 27,025 genes in the selfing species Arabidopsis thaliana. The much smaller 125-Mb genome of A. thaliana, which diverged from A. lyrata 10 million years ago, likely constitutes the derived state for the family. We found evidence for DNA loss from large-scale rearrangements, but most of the difference in genome size can be attributed to hundreds of thousands of small deletions, mostly in noncoding DNA and transposons. Analysis of deletions and insertions still segregating in A. thaliana indicates that the process of DNA loss is ongoing, suggesting pervasive selection for a smaller genome. The high-quality reference genome sequence for A. lyrata will be an important resource for functional, evolutionary and ecological studies in the genus Arabidopsis.


Genome Research | 2011

Multiplexed shotgun genotyping for rapid and efficient genetic mapping

Peter Andolfatto; Dan Davison; Deniz F. Erezyilmaz; Tina T. Hu; Joshua Mast; Tomoko Sunayama-Morita; David L. Stern

We present a new approach to genotyping based on multiplexed shotgun sequencing that can identify recombination breakpoints in a large number of individuals simultaneously at a resolution sufficient for most mapping purposes, such as quantitative trait locus (QTL) mapping and mapping of induced mutations. We first describe a simple library construction protocol that uses just 10 ng of genomic DNA per individual and makes the approach accessible to any laboratory with standard molecular biology equipment. Sequencing this library results in a large number of sequence reads widely distributed across the genomes of multiplexed bar-coded individuals. We develop a Hidden Markov Model to estimate ancestry at all genomic locations in all individuals using these data. We demonstrate the utility of the approach by mapping a dominant marker allele in D. simulans to within 105 kb of its true position using 96 F1-backcross individuals genotyped in a single lane on an Illumina Genome Analyzer. We further demonstrate the utility of our method by genetically mapping more than 400 previously unassembled D. simulans contigs to linkage groups and by evaluating the quality of targeted introgression lines. At this level of multiplexing and divergence between strains, our method allows estimation of recombination breakpoints to a median of 38-kb intervals. Our analysis suggests that higher levels of multiplexing and/or use of strains with lower levels of divergence are practicable.


Nature | 2010

Natural allelic variation underlying a major fitness trade-off in Arabidopsis thaliana.

Marco Todesco; Sureshkumar Balasubramanian; Tina T. Hu; M. Brian Traw; Matthew Horton; Petra Epple; Christine Kuhns; Sridevi Sureshkumar; Christopher J. Schwartz; Christa Lanz; Roosa A. E. Laitinen; Yu S. Huang; Joanne Chory; Volker Lipka; Justin O. Borevitz; Jeffery L. Dangl; Joy Bergelson; Magnus Nordborg; Detlef Weigel

Plants can defend themselves against a wide array of enemies, from microbes to large animals, yet there is great variability in the effectiveness of such defences, both within and between species. Some of this variation can be explained by conflicting pressures from pathogens with different modes of attack. A second explanation comes from an evolutionary ‘tug of war’, in which pathogens adapt to evade detection, until the plant has evolved new recognition capabilities for pathogen invasion. If selection is, however, sufficiently strong, susceptible hosts should remain rare. That this is not the case is best explained by costs incurred from constitutive defences in a pest-free environment. Using a combination of forward genetics and genome-wide association analyses, we demonstrate that allelic diversity at a single locus, ACCELERATED CELL DEATH 6 (ACD6), underpins marked pleiotropic differences in both vegetative growth and resistance to microbial infection and herbivory among natural Arabidopsis thaliana strains. A hyperactive ACD6 allele, compared to the reference allele, strongly enhances resistance to a broad range of pathogens from different phyla, but at the same time slows the production of new leaves and greatly reduces the biomass of mature leaves. This allele segregates at intermediate frequency both throughout the worldwide range of A. thaliana and within local populations, consistent with this allele providing substantial fitness benefits despite its marked impact on growth.


Nature Genetics | 2013

The Capsella rubella genome and the genomic consequences of rapid mating system evolution

Tanja Slotte; Khaled M. Hazzouri; J. Arvid Ågren; Daniel Koenig; Florian Maumus; Ya-Long Guo; Kim A. Steige; Adrian E. Platts; Juan S. Escobar; L. Killian Newman; Wei Wang; Terezie Mandáková; Emilio Vello; Lisa M. Smith; Stefan R. Henz; Joshua G. Steffen; Shohei Takuno; Yaniv Brandvain; Graham Coop; Peter Andolfatto; Tina T. Hu; Mathieu Blanchette; Richard M. Clark; Hadi Quesneville; Magnus Nordborg; Brandon S. Gaut; Martin A. Lysak; Jerry Jenkins; Jane Grimwood; Jarrod Chapman

The shift from outcrossing to selfing is common in flowering plants, but the genomic consequences and the speed at which they emerge remain poorly understood. An excellent model for understanding the evolution of self fertilization is provided by Capsella rubella, which became self compatible <200,000 years ago. We report a C. rubella reference genome sequence and compare RNA expression and polymorphism patterns between C. rubella and its outcrossing progenitor Capsella grandiflora. We found a clear shift in the expression of genes associated with flowering phenotypes, similar to that seen in Arabidopsis, in which self fertilization evolved about 1 million years ago. Comparisons of the two Capsella species showed evidence of rapid genome-wide relaxation of purifying selection in C. rubella without a concomitant change in transposable element abundance. Overall we document that the transition to selfing may be typified by parallel shifts in gene expression, along with a measurable reduction of purifying selection.


Proceedings of the National Academy of Sciences of the United States of America | 2007

Genome-wide patterns of single-feature polymorphism in Arabidopsis thaliana

Justin O. Borevitz; Samuel P. Hazen; Todd P. Michael; Geoffrey P. Morris; Ivan Baxter; Tina T. Hu; Huaming Chen; Jonathan D. Werner; Magnus Nordborg; David E. Salt; Steve A. Kay; Joanne Chory; Detlef Weigel; Jonathan D. G. Jones; Joseph R. Ecker

We used hybridization to the ATH1 gene expression array to interrogate genomic DNA diversity in 23 wild strains (accessions) of Arabidopsis thaliana (arabidopsis), in comparison with the reference strain Columbia (Col). At <1% false discovery rate, we detected 77,420 single-feature polymorphisms (SFPs) with distinct patterns of variation across the genome. Total and pair-wise diversity was higher near the centromeres and the heterochromatic knob region, but overall diversity was positively correlated with recombination rate (R2 = 3.1%). The difference between total and pair-wise SFP diversity is a relative measure contrasting diversifying or frequency-dependent selection, similar to Tajimas D, and can be calibrated by the empirical genome-wide distribution. Each unique locus, centered on a gene, has a diversity and selection score that suggest a relative role in past evolutionary processes. Homologs of disease resistance (R) genes include members with especially high levels of diversity often showing frequency-dependent selection and occasionally evidence of a past selective sweep. Receptor-like and S-locus proteins also contained members with elevated levels of diversity and signatures of selection, whereas other gene families, bHLH, F-box, and RING finger proteins, showed more typical levels of diversity. SFPs identified with the gene expression array also provide an empirical hybridization polymorphism background for studies of gene expression polymorphism and are available through the genome browser http://signal.salk.edu/cgi-bin/AtSFP.


Science | 2007

The Evolution of Selfing in Arabidopsis thaliana

Chunlao Tang; Christopher Toomajian; Susan Sherman-Broyles; Vincent Plagnol; Ya-Long Guo; Tina T. Hu; Richard M. Clark; June B. Nasrallah; Detlef Weigel; Magnus Nordborg

Unlike most of its close relatives, Arabidopsis thaliana is capable of self-pollination. In other members of the mustard family, outcrossing is ensured by the complex self-incompatibility (S) locus,which harbors multiple diverged specificity haplotypes that effectively prevent selfing. We investigated the role of the S locus in the evolution of and transition to selfing in A. thaliana. We found that the S locus of A. thaliana harbored considerable diversity, which is an apparent remnant of polymorphism in the outcrossing ancestor. Thus, the fixation of a single inactivated S-locus allele cannot have been a key step in the transition to selfing. An analysis of the genome-wide pattern of linkage disequilibrium suggests that selfing most likely evolved roughly a million years ago or more.


PLOS Biology | 2006

A Nonparametric Test Reveals Selection for Rapid Flowering in the Arabidopsis Genome

Christopher Toomajian; Tina T. Hu; Maria Jose Aranzana; Clare Lister; Chunlao Tang; Honggang Zheng; Keyan Zhao; Peter Calabrese; Caroline Dean; Magnus Nordborg

The detection of footprints of natural selection in genetic polymorphism data is fundamental to understanding the genetic basis of adaptation, and has important implications for human health. The standard approach has been to reject neutrality in favor of selection if the pattern of variation at a candidate locus was significantly different from the predictions of the standard neutral model. The problem is that the standard neutral model assumes more than just neutrality, and it is almost always possible to explain the data using an alternative neutral model with more complex demography. Todays wealth of genomic polymorphism data, however, makes it possible to dispense with models altogether by simply comparing the pattern observed at a candidate locus to the genomic pattern, and rejecting neutrality if the pattern is extreme. Here, we utilize this approach on a truly genomic scale, comparing a candidate locus to thousands of alleles throughout the Arabidopsis thaliana genome. We demonstrate that selection has acted to increase the frequency of early-flowering alleles at the vernalization requirement locus FRIGIDA. Selection seems to have occurred during the last several thousand years, possibly in response to the spread of agriculture. We introduce a novel test statistic based on haplotype sharing that embraces the problem of population structure, and so should be widely applicable.


Genome Research | 2013

A second generation assembly of the Drosophila simulans genome provides new insights into patterns of lineage-specific divergence.

Tina T. Hu; Michael B. Eisen; Kevin R. Thornton; Peter Andolfatto

We create a new assembly of the Drosophila simulans genome using 142 million paired short-read sequences and previously published data for strain w(501). Our assembly represents a higher-quality genomic sequence with greater coverage, fewer misassemblies, and, by several indexes, fewer sequence errors. Evolutionary analysis of this genome reference sequence reveals interesting patterns of lineage-specific divergence that are different from those previously reported. Specifically, we find that Drosophila melanogaster evolves faster than D. simulans at all annotated classes of sites, including putatively neutrally evolving sites found in minimal introns. While this may be partly explained by a higher mutation rate in D. melanogaster, we also find significant heterogeneity in rates of evolution across classes of sites, consistent with historical differences in the effective population size for the two species. Also contrary to previous findings, we find that the X chromosome is evolving significantly faster than autosomes for nonsynonymous and most noncoding DNA sites and significantly slower for synonymous sites. The absence of a X/A difference for putatively neutral sites and the robustness of the pattern to Gene Ontology and sex-biased expression suggest that partly recessive beneficial mutations may comprise a substantial fraction of noncoding DNA divergence observed between species. Our results have more general implications for the interpretation of evolutionary analyses of genomes of different quality.


PLOS Genetics | 2016

A Genomic Map of the Effects of Linked Selection in Drosophila

Eyal Elyashiv; Shmuel Sattath; Tina T. Hu; Alon Strutsovsky; Graham McVicker; Peter Andolfatto; Graham Coop; Guy Sella

Natural selection at one site shapes patterns of genetic variation at linked sites. Quantifying the effects of “linked selection” on levels of genetic diversity is key to making reliable inference about demography, building a null model in scans for targets of adaptation, and learning about the dynamics of natural selection. Here, we introduce the first method that jointly infers parameters of distinct modes of linked selection, notably background selection and selective sweeps, from genome-wide diversity data, functional annotations and genetic maps. The central idea is to calculate the probability that a neutral site is polymorphic given local annotations, substitution patterns, and recombination rates. Information is then combined across sites and samples using composite likelihood in order to estimate genome-wide parameters of distinct modes of selection. In addition to parameter estimation, this approach yields a map of the expected neutral diversity levels along the genome. To illustrate the utility of our approach, we apply it to genome-wide resequencing data from 125 lines in Drosophila melanogaster and reliably predict diversity levels at the 1Mb scale. Our results corroborate estimates of a high fraction of beneficial substitutions in proteins and untranslated regions (UTR). They allow us to distinguish between the contribution of sweeps and other modes of selection around amino acid substitutions and to uncover evidence for pervasive sweeps in untranslated regions (UTRs). Our inference further suggests a substantial effect of other modes of linked selection and of adaptation in particular. More generally, we demonstrate that linked selection has had a larger effect in reducing diversity levels and increasing their variance in D. melanogaster than previously appreciated.

Collaboration


Dive into the Tina T. Hu's collaboration.

Top Co-Authors

Avatar

Magnus Nordborg

Austrian Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Christopher Toomajian

University of Southern California

View shared research outputs
Top Co-Authors

Avatar

Joseph R. Ecker

Salk Institute for Biological Studies

View shared research outputs
Top Co-Authors

Avatar

Joanne Chory

Salk Institute for Biological Studies

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Chunlao Tang

University of Southern California

View shared research outputs
Top Co-Authors

Avatar

Huaming Chen

Salk Institute for Biological Studies

View shared research outputs
Top Co-Authors

Avatar

Ivan Baxter

Donald Danforth Plant Science Center

View shared research outputs
Researchain Logo
Decentralizing Knowledge