Divya Kalra
Baylor College of Medicine
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Publication
Featured researches published by Divya Kalra.
Genome Research | 2014
Wen Huang; Andreas Massouras; Yutaka Inoue; Jason A. Peiffer; Miquel Ràmia; Aaron M. Tarone; Lavanya Turlapati; Thomas Zichner; Dianhui Zhu; Richard F. Lyman; Michael M. Magwire; Kerstin P. Blankenburg; Mary Anna Carbone; Kyle Chang; Lisa L. Ellis; Sonia Fernandez; Yi Han; Gareth Highnam; Carl E. Hjelmen; John Jack; Mehwish Javaid; Joy Jayaseelan; Divya Kalra; Sandy Lee; Lora Lewis; Mala Munidasa; Fiona Ongeri; Shohba Patel; Lora Perales; Agapito Perez
The Drosophila melanogaster Genetic Reference Panel (DGRP) is a community resource of 205 sequenced inbred lines, derived to improve our understanding of the effects of naturally occurring genetic variation on molecular and organismal phenotypes. We used an integrated genotyping strategy to identify 4,853,802 single nucleotide polymorphisms (SNPs) and 1,296,080 non-SNP variants. Our molecular population genomic analyses show higher deletion than insertion mutation rates and stronger purifying selection on deletions. Weaker selection on insertions than deletions is consistent with our observed distribution of genome size determined by flow cytometry, which is skewed toward larger genomes. Insertion/deletion and single nucleotide polymorphisms are positively correlated with each other and with local recombination, suggesting that their nonrandom distributions are due to hitchhiking and background selection. Our cytogenetic analysis identified 16 polymorphic inversions in the DGRP. Common inverted and standard karyotypes are genetically divergent and account for most of the variation in relatedness among the DGRP lines. Intriguingly, variation in genome size and many quantitative traits are significantly associated with inversions. Approximately 50% of the DGRP lines are infected with Wolbachia, and four lines have germline insertions of Wolbachia sequences, but effects of Wolbachia infection on quantitative traits are rarely significant. The DGRP complements ongoing efforts to functionally annotate the Drosophila genome. Indeed, 15% of all D. melanogaster genes segregate for potentially damaged proteins in the DGRP, and genome-wide analyses of quantitative traits identify novel candidate genes. The DGRP lines, sequence data, genotypes, quality scores, phenotypes, and analysis and visualization tools are publicly available.
PLOS ONE | 2012
Doyle V. Ward; Dirk Gevers; Georgia Giannoukos; Ashlee M. Earl; Barbara A. Methé; Erica Sodergren; Michael Feldgarden; Dawn Ciulla; Diana Tabbaa; Cesar Arze; Elizabeth L. Appelbaum; Leigh Aird; Scott Anderson; Tulin Ayvaz; Edward A. Belter; Monika Bihan; Toby Bloom; Jonathan Crabtree; Laura Courtney; Lynn K. Carmichael; David J. Dooling; Rachel L. Erlich; Candace N. Farmer; Lucinda Fulton; Robert S. Fulton; Hongyu Gao; John Gill; Brian J. Haas; Lisa Hemphill; Otis Hall
The Human Microbiome Project will establish a reference data set for analysis of the microbiome of healthy adults by surveying multiple body sites from 300 people and generating data from over 12,000 samples. To characterize these samples, the participating sequencing centers evaluated and adopted 16S rDNA community profiling protocols for ABI 3730 and 454 FLX Titanium sequencing. In the course of establishing protocols, we examined the performance and error characteristics of each technology, and the relationship of sequence error to the utility of 16S rDNA regions for classification- and OTU-based analysis of community structure. The data production protocols used for this work are those used by the participating centers to produce 16S rDNA sequence for the Human Microbiome Project. Thus, these results can be informative for interpreting the large body of clinical 16S rDNA data produced for this project.
Science | 2014
Yu Jiang; Min Xie; Wenbin Chen; Richard Talbot; J. F. Maddox; Thomas Faraut; Chunhua Wu; Donna M. Muzny; Yuxiang Li; Wenguang Zhang; Jo-Ann L. Stanton; Rudiger Brauning; Wesley C. Barris; Thibaut Hourlier; Bronwen Aken; Stephen M. J. Searle; David L. Adelson; Chao Bian; Graham R. Cam; Yulin Chen; Shifeng Cheng; Udaya DeSilva; Karen Dixen; Yang Dong; Guangyi Fan; Ian R. Franklin; Shaoyin Fu; Pablo Fuentes-Utrilla; Rui Guan; Margaret A. Highland
A genome for ewe and ewe Sheep-specific genetic changes underlie differences in lipid metabolism between sheep and other mammals, and may have contributed to the production of wool. Jiang et al. sequenced the genome of two Texel sheep, a breed that produces high-value meat, milk, and wool. The genome information will provide an important resource for livestock production and aid in the understanding of mammalian evolution. Science, this issue p. 1168 A genomic analysis of sheep explains specializations in digestive system physiology and wool production. Sheep (Ovis aries) are a major source of meat, milk, and fiber in the form of wool and represent a distinct class of animals that have a specialized digestive organ, the rumen, that carries out the initial digestion of plant material. We have developed and analyzed a high-quality reference sheep genome and transcriptomes from 40 different tissues. We identified highly expressed genes encoding keratin cross-linking proteins associated with rumen evolution. We also identified genes involved in lipid metabolism that had been amplified and/or had altered tissue expression patterns. This may be in response to changes in the barrier lipids of the skin, an interaction between lipid metabolism and wool synthesis, and an increased role of volatile fatty acids in ruminants compared with nonruminant animals.
Current Biology | 2015
Chaoyang Zhao; Lucio Navarro Escalante; Hang Chen; Thiago R. Benatti; Jiaxin Qu; Sanjay Chellapilla; Robert M. Waterhouse; David Wheeler; Martin Andersson; Riyue Bao; Matthew Batterton; Susanta K. Behura; Kerstin P. Blankenburg; Doina Caragea; James C. Carolan; Marcus Coyle; Mustapha El-Bouhssini; Liezl Francisco; Markus Friedrich; Navdeep Gill; Tony Grace; Cornelis J. P. Grimmelikhuijzen; Yi Han; Frank Hauser; Nicolae Herndon; Michael Holder; Panagiotis Ioannidis; LaRonda Jackson; Mehwish Javaid; Shalini N. Jhangiani
Gall-forming arthropods are highly specialized herbivores that, in combination with their hosts, produce extended phenotypes with unique morphologies [1]. Many are economically important, and others have improved our understanding of ecology and adaptive radiation [2]. However, the mechanisms that these arthropods use to induce plant galls are poorly understood. We sequenced the genome of the Hessian fly (Mayetiola destructor; Diptera: Cecidomyiidae), a plant parasitic gall midge and a pest of wheat (Triticum spp.), with the aim of identifying genic modifications that contribute to its plant-parasitic lifestyle. Among several adaptive modifications, we discovered an expansive reservoir of potential effector proteins. Nearly 5% of the 20,163 predicted gene models matched putative effector gene transcripts present in the M. destructor larval salivary gland. Another 466 putative effectors were discovered among the genes that have no sequence similarities in other organisms. The largest known arthropod gene family (family SSGP-71) was also discovered within the effector reservoir. SSGP-71 proteins lack sequence homologies to other proteins, but their structures resemble both ubiquitin E3 ligases in plants and E3-ligase-mimicking effectors in plant pathogenic bacteria. SSGP-71 proteins and wheat Skp proteins interact in vivo. Mutations in different SSGP-71 genes avoid the effector-triggered immunity that is directed by the wheat resistance genes H6 and H9. Results point to effectors as the agents responsible for arthropod-induced plant gall formation.
Genome Research | 2014
Zhen Xia Chen; David Sturgill; Jiaxin Qu; Huaiyang Jiang; Soo Park; Nathan Boley; Ana Maria Suzuki; Anthony R. Fletcher; David C. Plachetzki; Peter C. FitzGerald; Carlo G. Artieri; Joel Atallah; Olga Barmina; James B. Brown; Kerstin P. Blankenburg; Emily Clough; Abhijit Dasgupta; Sai Gubbala; Yi Han; Joy Jayaseelan; Divya Kalra; Yoo-Ah Kim; Christie Kovar; Sandra L. Lee; Mingmei Li; James D. Malley; John H. Malone; Tittu Mathew; Nicolas R Mattiuzzo; Mala Munidasa
Accurate gene model annotation of reference genomes is critical for making them useful. The modENCODE project has improved the D. melanogaster genome annotation by using deep and diverse high-throughput data. Since transcriptional activity that has been evolutionarily conserved is likely to have an advantageous function, we have performed large-scale interspecific comparisons to increase confidence in predicted annotations. To support comparative genomics, we filled in divergence gaps in the Drosophila phylogeny by generating draft genomes for eight new species. For comparative transcriptome analysis, we generated mRNA expression profiles on 81 samples from multiple tissues and developmental stages of 15 Drosophila species, and we performed cap analysis of gene expression in D. melanogaster and D. pseudoobscura. We also describe conservation of four distinct core promoter structures composed of combinations of elements at three positions. Overall, each type of genomic feature shows a characteristic divergence rate relative to neutral models, highlighting the value of multispecies alignment in annotating a target genome that should prove useful in the annotation of other high priority genomes, especially human and other mammalian genomes that are rich in noncoding sequences. We report that the vast majority of elements in the annotation are evolutionarily conserved, indicating that the annotation will be an important springboard for functional genetic testing by the Drosophila community.
Obesity | 2017
Aniko Sabo; Pamela Mishra; Shannon Dugan-Perez; V. Saroja Voruganti; Jack W. Kent; Divya Kalra; Shelley A. Cole; Anthony G. Comuzzie; Donna M. Muzny; Richard A. Gibbs; Nancy F. Butte
To perform whole exome sequencing in 928 Hispanic children and identify variants and genes associated with childhood obesity.
bioRxiv | 2018
Gregg W.C. Thomas; Elias Dohmen; Daniel S.T. Hughes; Shwetha C. Murali; Monica Poelchau; Karl M. Glastad; Clare A. Anstead; Nadia A. Ayoub; Phillip Batterham; Michelle Bellair; Gretta J Binford; Hsu Chao; Yolanda H. Chen; Christopher Childers; Huyen Dinh; HarshaVardhan Doddapaneni; Jian J Duan; Shannon Dugan; Lauren Esposito; Markus Friedrich; Jessica E. Garb; Robin B. Gasser; Michael A. D. Goodisman; Dawn E. Gundersen-Rindal; Yi Han; Alfred M. Handler; Masatsugu Hatakeyama; Lars Hering; Wayne B. Hunter; Panagiotis Ioannidis
Abstract Background Arthropods comprise the largest and most diverse phylum on Earth and play vital roles in nearly every ecosystem. Their diversity stems in part from variations on a conserved body plan, resulting from and recorded in adaptive changes in the genome. Dissection of the genomic record of sequence change enables broad questions regarding genome evolution to be addressed, even across hyper-diverse taxa within arthropods. Results Using 76 whole genome sequences representing 21 orders spanning more than 500 million years of arthropod evolution, we document changes in gene and protein domain content and provide temporal and phylogenetic context for interpreting these innovations. We identify many novel gene families that arose early in the evolution of arthropods and during the diversification of insects into modern orders. We reveal unexpected variation in patterns of DNA methylation across arthropods and examples of gene family and protein domain evolution coincident with the appearance of notable phenotypic and physiological adaptations such as flight, metamorphosis, sociality and chemoperception. Conclusions These analyses demonstrate how large-scale comparative genomics can provide broad new insights into the genotype to phenotype map and generate testable hypotheses about the evolution of animal diversity.Arthropods comprise the largest and most diverse phylum on Earth and play vital roles in nearly every ecosystem. Their diversity stems in part from variations on a conserved body plan, resulting from and recorded in adaptive changes in the genome. Dissection of the genomic record of sequence change enables broad questions regarding genome evolution to be addressed, even across hyper-diverse taxa within arthropods. Using 76 whole genome sequences representing 21 orders spanning more than 500 million years of arthropod evolution, we document changes in gene and protein domain content and provide temporal and phylogenetic context for interpreting these innovations. We identify many novel gene families that arose early in the evolution of arthropods and during the diversification of insects into modern orders. We reveal unexpected variation in patterns of DNA methylation across arthropods and examples of gene family and protein domain evolution coincident with the appearance of notable phenotypic and physiological adaptations such as flight, metamorphosis, sociality and chemoperception. These analyses demonstrate how large-scale comparative genomics can provide broad new insights into the genotype to phenotype map and generate testable hypotheses about the evolution of animal diversity.