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Dive into the research topics where Alisha K. Holloway is active.

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Featured researches published by Alisha K. Holloway.


Nature | 2011

A high-resolution map of human evolutionary constraint using 29 mammals

Kerstin Lindblad-Toh; Manuel Garber; Or Zuk; Michael F. Lin; Brian J. Parker; Stefan Washietl; Pouya Kheradpour; Jason Ernst; Gregory Jordan; Evan Mauceli; Lucas D. Ward; Craig B. Lowe; Alisha K. Holloway; Michele Clamp; Sante Gnerre; Jessica Alföldi; Kathryn Beal; Jean Chang; Hiram Clawson; James Cuff; Federica Di Palma; Stephen Fitzgerald; Paul Flicek; Mitchell Guttman; Melissa J. Hubisz; David B. Jaffe; Irwin Jungreis; W. James Kent; Dennis Kostka; Marcia Lara

The comparison of related genomes has emerged as a powerful lens for genome interpretation. Here we report the sequencing and comparative analysis of 29 eutherian genomes. We confirm that at least 5.5% of the human genome has undergone purifying selection, and locate constrained elements covering ∼4.2% of the genome. We use evolutionary signatures and comparisons with experimental data sets to suggest candidate functions for ∼60% of constrained bases. These elements reveal a small number of new coding exons, candidate stop codon readthrough events and over 10,000 regions of overlapping synonymous constraint within protein-coding exons. We find 220 candidate RNA structural families, and nearly a million elements overlapping potential promoter, enhancer and insulator regions. We report specific amino acid residues that have undergone positive selection, 280,000 non-coding elements exapted from mobile elements and more than 1,000 primate- and human-accelerated elements. Overlap with disease-associated variants indicates that our findings will be relevant for studies of human biology, health and disease.


Cell | 2012

Dynamic and Coordinated Epigenetic Regulation of Developmental Transitions in the Cardiac Lineage

Joseph A. Wamstad; Jeffrey M. Alexander; Rebecca M. Truty; Avanti Shrikumar; Fugen Li; Kirsten E. Eilertson; Huiming Ding; John N. Wylie; Alexander R. Pico; John A. Capra; Genevieve D. Erwin; Steven Kattman; Gordon Keller; Deepak Srivastava; Stuart S. Levine; Katherine S. Pollard; Alisha K. Holloway; Laurie A. Boyer; Benoit G. Bruneau

Heart development is exquisitely sensitive to the precise temporal regulation of thousands of genes that govern developmental decisions during differentiation. However, we currently lack a detailed understanding of how chromatin and gene expression patterns are coordinated during developmental transitions in the cardiac lineage. Here, we interrogated the transcriptome and several histone modifications across the genome during defined stages of cardiac differentiation. We find distinct chromatin patterns that are coordinated with stage-specific expression of functionally related genes, including many human disease-associated genes. Moreover, we discover a novel preactivation chromatin pattern at the promoters of genes associated with heart development and cardiac function. We further identify stage-specific distal enhancer elements and find enriched DNA binding motifs within these regions that predict sets of transcription factors that orchestrate cardiac differentiation. Together, these findings form a basis for understanding developmentally regulated chromatin transitions during lineage commitment and the molecular etiology of congenital heart disease.


Science | 2010

Widespread divergence between incipient Anopheles gambiae species revealed by whole genome sequences

Mara K. N. Lawniczak; Scott J. Emrich; Alisha K. Holloway; A. P. Regier; Maynard V. Olson; Bradley J. White; Seth Redmond; Lucinda Fulton; Elizabeth L. Appelbaum; Jennifer Godfrey; Candace N. Farmer; Asif T. Chinwalla; Shiaw-Pyng Yang; Patrick Minx; Joanne O. Nelson; Kim Kyung; Brian Walenz; E. Garcia-Hernandez; M. Aguiar; L. D. Viswanathan; Yu Hui Rogers; Robert L. Strausberg; C. A. Saski; Daniel John Lawson; Frank H. Collins; Fotis C. Kafatos; G. K. Christophides; Sandra W. Clifton; Ewen F. Kirkness; Nora J. Besansky

Signals of Mosquito Speciation Malaria in Africa is transmitted by the mosquito species complex Anopheles gambiae. Neafsey et al. (p. 514) made high-resolution single-nucleotide arrays to map genetic divergence among members of the species. Differentiation between populations was observed and evidence obtained for selective sweeps within populations. Most divergence occurred within inversion regions around the centrosome and in genes associated with development, pheromone signaling, and from the X chromosome. The analysis also revealed signals of sympatric speciation occurring within similar chromosomal regions in mosquitoes from different regions in Africa. Lawniczak et al. (p. 512) sequenced the genomes of two molecular forms (known as M and S) of A. gambiae, which have distinctive behavioral phenotypes and appear to be speciating. This effort resolves problems arising from the apparently chimeric nature of the reference genome and confirms the observed genome-wide divergences. This kind of analysis has the potential to contribute to control programs that can adapt to population shifts in mosquito behavior arising from the selective effects of the control measures themselves. Gene flow among African malaria vectors is more restricted than previously thought. The Afrotropical mosquito Anopheles gambiae sensu stricto, a major vector of malaria, is currently undergoing speciation into the M and S molecular forms. These forms have diverged in larval ecology and reproductive behavior through unknown genetic mechanisms, despite considerable levels of hybridization. Previous genome-wide scans using gene-based microarrays uncovered divergence between M and S that was largely confined to gene-poor pericentromeric regions, prompting a speciation-with-ongoing-gene-flow model that implicated only about 3% of the genome near centromeres in the speciation process. Here, based on the complete M and S genome sequences, we report widespread and heterogeneous genomic divergence inconsistent with appreciable levels of interform gene flow, suggesting a more advanced speciation process and greater challenges to identify genes critical to initiating that process.


Genetics | 2012

Genomic Variation in Natural Populations of Drosophila melanogaster

Charles H. Langley; Kristian A. Stevens; Charis Cardeno; Yuh Chwen G. Lee; Daniel R. Schrider; John E. Pool; Sasha A. Langley; Charlyn Suarez; Russell Corbett-Detig; Bryan Kolaczkowski; Shu Fang; Phillip M. Nista; Alisha K. Holloway; Andrew D. Kern; Colin N. Dewey; Yun S. Song; Matthew W. Hahn; David J. Begun

This report of independent genome sequences of two natural populations of Drosophila melanogaster (37 from North America and 6 from Africa) provides unique insight into forces shaping genomic polymorphism and divergence. Evidence of interactions between natural selection and genetic linkage is abundant not only in centromere- and telomere-proximal regions, but also throughout the euchromatic arms. Linkage disequilibrium, which decays within 1 kbp, exhibits a strong bias toward coupling of the more frequent alleles and provides a high-resolution map of recombination rate. The juxtaposition of population genetics statistics in small genomic windows with gene structures and chromatin states yields a rich, high-resolution annotation, including the following: (1) 5′- and 3′-UTRs are enriched for regions of reduced polymorphism relative to lineage-specific divergence; (2) exons overlap with windows of excess relative polymorphism; (3) epigenetic marks associated with active transcription initiation sites overlap with regions of reduced relative polymorphism and relatively reduced estimates of the rate of recombination; (4) the rate of adaptive nonsynonymous fixation increases with the rate of crossing over per base pair; and (5) both duplications and deletions are enriched near origins of replication and their density correlates negatively with the rate of crossing over. Available demographic models of X and autosome descent cannot account for the increased divergence on the X and loss of diversity associated with the out-of-Africa migration. Comparison of the variation among these genomes to variation among genomes from D. simulans suggests that many targets of directional selection are shared between these species.


Genetics | 2011

Genomic Differentiation Between Temperate and Tropical Australian Populations of Drosophila melanogaster

Bryan Kolaczkowski; Andrew D. Kern; Alisha K. Holloway; David J. Begun

Determining the genetic basis of environmental adaptation is a central problem of evolutionary biology. This issue has been fruitfully addressed by examining genetic differentiation between populations that are recently separated and/or experience high rates of gene flow. A good example of this approach is the decades-long investigation of selection acting along latitudinal clines in Drosophila melanogaster. Here we use next-generation genome sequencing to reexamine the well-studied Australian D. melanogaster cline. We find evidence for extensive differentiation between temperate and tropical populations, with regulatory regions and unannotated regions showing particularly high levels of differentiation. Although the physical genomic scale of geographic differentiation is small—on the order of gene sized—we observed several larger highly differentiated regions. The region spanned by the cosmopolitan inversion polymorphism In(3R)P shows higher levels of differentiation, consistent with the major difference in allele frequencies of Standard and In(3R)P karyotypes in temperate vs. tropical Australian populations. Our analysis reveals evidence for spatially varying selection on a number of key biological processes, suggesting fundamental biological differences between flies from these two geographic regions.


Nature Communications | 2011

Chromatin remodelling complex dosage modulates transcription factor function in heart development

Jun K. Takeuchi; Xin Lou; Jeffrey M. Alexander; Hiroe Sugizaki; Paul Delgado-Olguin; Alisha K. Holloway; Alessandro D. Mori; John N. Wylie; Chantilly Munson; Yonghong Zhu; Yu-Qing Zhou; Ru-Fang Yeh; R. Mark Henkelman; Richard P. Harvey; Daniel Metzger; Pierre Chambon; Didier Y. R. Stainier; Katherine S. Pollard; Ian C. Scott; Benoit G. Bruneau

Dominant mutations in cardiac transcription factor genes cause human inherited congenital heart defects (CHDs); however, their molecular basis is not understood. Interactions between transcription factors and the Brg1/Brm-associated factor (BAF) chromatin remodelling complex suggest potential mechanisms; however, the role of BAF complexes in cardiogenesis is not known. In this study, we show that dosage of Brg1 is critical for mouse and zebrafish cardiogenesis. Disrupting the balance between Brg1 and disease-causing cardiac transcription factors, including Tbx5, Tbx20 and Nkx2–5, causes severe cardiac anomalies, revealing an essential allelic balance between Brg1 and these cardiac transcription factor genes. This suggests that the relative levels of transcription factors and BAF complexes are important for heart development, which is supported by reduced occupancy of Brg1 at cardiac gene promoters in Tbx5 haploinsufficient hearts. Our results reveal complex dosage-sensitive interdependence between transcription factors and BAF complexes, providing a potential mechanism underlying transcription factor haploinsufficiency, with implications for multigenic inheritance of CHDs.


Systematic Biology | 2001

Difficulties in detecting hybridization.

Mark T. Holder; Jennifer A. Anderson; Alisha K. Holloway

This is an electronic version of an article published in Systematic Biology [Holder, Mark T., Jennifer A. Anderson, and Alisha K. Holloway. Difficulties in detecting hybridization. Systematic Biology, 50(6):978{982, 2001.] Systematic Biology is available online at informaworld http://dx.doi.org/10.1080/106351501753462911


Cancer | 2011

MicroRNA profiling of adrenocortical tumors reveals miR‐483 as a marker of malignancy

Erin E. Patterson; Alisha K. Holloway; Julie Weng; Tito Fojo; Electron Kebebew

The authors are interested in identifying molecular markers that can aid in the diagnosis of adrenocortical carcinoma (ACC). The aim of this study was to identify microRNAs (miRNAs or miRs) that are differentially expressed in malignant adrenocortical tumors as compared with benign tumors and assess their potential as diagnostic predictors.


American Journal of Physiology-endocrinology and Metabolism | 1998

Role of local contractile activity and muscle fiber type on LPL regulation during exercise

Marc T. Hamilton; Jacqueline Etienne; Warren C. McClure; Brian S. Pavey; Alisha K. Holloway

The purpose of this study was to determine the influence of local contractile activity on lipoprotein lipase (LPL) regulation in skeletal muscle. Short-term voluntary run training increased LPL mRNA concentration and LPL immunoreactive mass about threefold in white skeletal muscles of the rat hindlimb (all P < 0.01). Training also increased total and heparin-releasable LPL enzyme activity in white hindlimb muscles and in postheparin plasma ( P< 0.05). Training did not enhance LPL regulation in a white muscle that was not recruited during running (masseter). LPL levels were already high in red skeletal muscles of control rats, and training did not result in a further rise. In resting rats, local electrical stimulation of a motor nerve to a predominantly white muscle caused a significant rise in LPL mRNA, immunoreactive mass, and enzyme activity relative to the contralateral control muscle of the same animals (all P < 0.01). Finally, LPL expression was several times greater in a red muscle (soleus) of rats with normal postural activity than rats with immobilized hindlimbs ( P < 0.01). In summary, these studies support the hypothesis that local contractile activity is required for increasing LPL expression during exercise training and for maintaining a high level of LPL expression in postural muscles.The purpose of this study was to determine the influence of local contractile activity on lipoprotein lipase (LPL) regulation in skeletal muscle. Short-term voluntary run training increased LPL mRNA concentration and LPL immunoreactive mass about threefold in white skeletal muscles of the rat hindlimb (all P < 0.01). Training also increased total and heparin-releasable LPL enzyme activity in white hindlimb muscles and in postheparin plasma (P < 0.05). Training did not enhance LPL regulation in a white muscle that was not recruited during running (masseter). LPL levels were already high in red skeletal muscles of control rats, and training did not result in a further rise. In resting rats, local electrical stimulation of a motor nerve to a predominantly white muscle caused a significant rise in LPL mRNA, immunoreactive mass, and enzyme activity relative to the contralateral control muscle of the same animals (all P < 0.01). Finally, LPL expression was several times greater in a red muscle (soleus) of rats with normal postural activity than rats with immobilized hindlimbs (P < 0.01). In summary, these studies support the hypothesis that local contractile activity is required for increasing LPL expression during exercise training and for maintaining a high level of LPL expression in postural muscles.


Evolution | 2008

REVERSE ECOLOGY AND THE POWER OF POPULATION GENOMICS

Yong Fuga Li; James C. Costello; Alisha K. Holloway; Matthew W. Hahn

Abstract Rapid and inexpensive sequencing technologies are making it possible to collect whole genome sequence data on multiple individuals from a population. This type of data can be used to quickly identify genes that control important ecological and evolutionary phenotypes by finding the targets of adaptive natural selection, and we therefore refer to such approaches as “reverse ecology.” To quantify the power gained in detecting positive selection using population genomic data, we compare three statistical methods for identifying targets of selection: the McDonald–Kreitman test, the mkprf method, and a likelihood implementation for detecting dN/dS > 1. Because the first two methods use polymorphism data we expect them to have more power to detect selection. However, when applied to population genomic datasets from human, fly, and yeast, the tests using polymorphism data were actually weaker in two of the three datasets. We explore reasons why the simpler comparative method has identified more genes under selection, and suggest that the different methods may really be detecting different signals from the same sequence data. Finally, we find several statistical anomalies associated with the mkprf method, including an almost linear dependence between the number of positively selected genes identified and the prior distributions used. We conclude that interpreting the results produced by this method should be done with some caution.

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David J. Begun

University of California

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Andrew D. Kern

University of California

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Electron Kebebew

National Institutes of Health

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Sean Thomas

University of California

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Corbin D. Jones

University of North Carolina at Chapel Hill

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Dennis Kostka

University of Pittsburgh

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