Nehad Saada
Baylor College of Medicine
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Featured researches published by Nehad Saada.
Nature | 2012
Trudy F. C. Mackay; Stephen Richards; Eric A. Stone; Antonio Barbadilla; Julien F. Ayroles; Dianhui Zhu; Sònia Casillas; Yi Han; Michael M. Magwire; Julie M. Cridland; Mark F. Richardson; Robert R. H. Anholt; Maite Barrón; Crystal Bess; Kerstin P. Blankenburg; Mary Anna Carbone; David Castellano; Lesley S. Chaboub; Laura H. Duncan; Zeke Harris; Mehwish Javaid; Joy Jayaseelan; Shalini N. Jhangiani; Katherine W. Jordan; Fremiet Lara; Faye Lawrence; Sandra L. Lee; Pablo Librado; Raquel S. Linheiro; Richard F. Lyman
A major challenge of biology is understanding the relationship between molecular genetic variation and variation in quantitative traits, including fitness. This relationship determines our ability to predict phenotypes from genotypes and to understand how evolutionary forces shape variation within and between species. Previous efforts to dissect the genotype–phenotype map were based on incomplete genotypic information. Here, we describe the Drosophila melanogaster Genetic Reference Panel (DGRP), a community resource for analysis of population genomics and quantitative traits. The DGRP consists of fully sequenced inbred lines derived from a natural population. Population genomic analyses reveal reduced polymorphism in centromeric autosomal regions and the X chromosome, evidence for positive and negative selection, and rapid evolution of the X chromosome. Many variants in novel genes, most at low frequency, are associated with quantitative traits and explain a large fraction of the phenotypic variance. The DGRP facilitates genotype–phenotype mapping using the power of Drosophila genetics.
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.
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.