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Featured researches published by Aparna Prasad.


BMC Genomics | 2008

A first generation whole genome RH map of the river buffalo with comparison to domestic cattle

M. Elisabete J. Amaral; Jason R. Grant; Penny K. Riggs; N. B. Stafuzza; Edson Almeida Filho; Tom Goldammer; Rosemarie Weikard; Ronald M. Brunner; Kelli J. Kochan; Anthony J Greco; Jooha Jeong; Zhipeng Cai; Guohui Lin; Aparna Prasad; Satish Kumar; G Pardha Saradhi; Boby Mathew; M Aravind Kumar; Melissa N Miziara; Paola Mariani; Alexandre R Caetano; Stephan R Galvão; M. S. Tantia; R. K. Vijh; Bina Mishra; S T Bharani Kumar; Vanderlei A Pelai; André M. Santana; Larissa Fornitano; Brittany C Jones

BackgroundThe recently constructed river buffalo whole-genome radiation hybrid panel (BBURH5000) has already been used to generate preliminary radiation hybrid (RH) maps for several chromosomes, and buffalo-bovine comparative chromosome maps have been constructed. Here, we present the first-generation whole genome RH map (WG-RH) of the river buffalo generated from cattle-derived markers. The RH maps aligned to bovine genome sequence assembly Btau_4.0, providing valuable comparative mapping information for both species.ResultsA total of 3990 markers were typed on the BBURH5000 panel, of which 3072 were cattle derived SNPs. The remaining 918 were classified as cattle sequence tagged site (STS), including coding genes, ESTs, and microsatellites. Average retention frequency per chromosome was 27.3% calculated with 3093 scorable markers distributed in 43 linkage groups covering all autosomes (24) and the X chromosomes at a LOD ≥ 8. The estimated total length of the WG-RH map is 36,933 cR5000. Fewer than 15% of the markers (472) could not be placed within any linkage group at a LOD score ≥ 8. Linkage group order for each chromosome was determined by incorporation of markers previously assigned by FISH and by alignment with the bovine genome sequence assembly (Btau_4.0).ConclusionWe obtained radiation hybrid chromosome maps for the entire river buffalo genome based on cattle-derived markers. The alignments of our RH maps to the current bovine genome sequence assembly (Btau_4.0) indicate regions of possible rearrangements between the chromosomes of both species. The river buffalo represents an important agricultural species whose genetic improvement has lagged behind other species due to limited prior genomic characterization. We present the first-generation RH map which provides a more extensive resource for positional candidate cloning of genes associated with complex traits and also for large-scale physical mapping of the river buffalo genome.


Journal of Animal Breeding and Genetics | 2009

A whole genome scan to map QTL for milk production traits and somatic cell score in Canadian Holstein bulls.

D. Kolbehdari; Z. Wang; J.R. Grant; B. Murdoch; Aparna Prasad; Z. Xiu; E. Marques; Paul Stothard; S. S. Moore

The detection and mapping of genetic markers linked to quantitative trait loci (QTL) can be utilized to enhance genetic improvement of livestock populations. With the completion of the bovine genome sequence assembly, single nucleotide polymorphisms (SNP) assays spanning the whole bovine genome and research work on large scale identification, validation and analysis of genotypic variation in cattle has become possible. The objective of the present study was to perform a whole genome scan to identify and map QTL affecting milk production traits and somatic cell scores using linkage disequilibrium (LD) regression and 1536 SNP markers. Three and 18 SNP were found to be associated with only milk yield (MY) at a genome and chromosome wise significance (p < 0.05) level respectively. Among the 21 significant SNP, 16 were in a region reported to have QTL for MY in other dairy cattle populations and while the rest five were new QTL finding. Four SNP out of 21 are significant for the milk production traits (MY, fat yield, protein yield (PY), and milk contents) in the present study. Six and nine SNP were associated with PY at a genome and chromosome wise significant (p < 0.05) level respectively. Three and 17 SNP were found to be associated with FY at a genome and chromosome wise significant (p < 0.05) level. Five and seven SNP were mapped with somatic cell score at a genome and chromosome wise significant (p < 0.05) level respectively. The results of this study have revealed QTL for MY, PY, protein percentage, FY, fat percentage, somatic cell score and persistency of milk in the Canadian dairy cattle population. The chromosome regions identified in this study should be further investigated to potentially identify the causative mutations underlying the QTL.


Journal of Dairy Science | 2008

A Whole-Genome Scan to Map Quantitative Trait Loci for Conformation and Functional Traits in Canadian Holstein Bulls

D. Kolbehdari; Z. Wang; J.R. Grant; B. Murdoch; Aparna Prasad; Z. Xiu; E. Marques; Paul Stothard; S. S. Moore

Genetic improvement of livestock populations can be achieved through detection and mapping of genetic markers linked to quantitative trait loci (QTL). With the completion of the bovine genome sequence assembly, single nucleotide polymorphism (SNP) assays spanning the whole bovine genome and research work on large-scale identification, validation, and analysis of genotypic variation in cattle has become possible. A total of 462 Canadian Holstein Bulls were used to test the association between SNP and QTL. Single locus linkage disequilibrium regression model was implemented to perform a whole genome scan to identify and map QTL affecting conformation and functional traits. One thousand five hundred thirty-six SNP markers from introns and exons of potential QTL regions for economically important traits across the bovine genome were selected for association analysis. A total of 45 and 151 SNP were found to be associated with 17 conformation and functional traits at a genome- and chromosome-wise significance level, respectively. Among the 196 significant SNP, 169 of them are newly detected in this study, whereas 27 of them have been reported in previous literature and 161 of these were located in genes and are worth further investigating to potentially identify the causative mutations underlying the QTL. The single locus linkage disequilibrium regression method using SNP marker genotypes has proven to be a successful methodology for detecting and mapping QTL in dairy cattle populations.


Animal Genetics | 2008

Linkage disequilibrium and signatures of selection on chromosomes 19 and 29 in beef and dairy cattle.

Aparna Prasad; Robert D. Schnabel; Stephanie D. McKay; B. Murdoch; Paul Stothard; D. Kolbehdari; Z. Wang; Jeremy F. Taylor; S. S. Moore

The objective of this study was to quantify the extent of linkage disequilibrium (LD) on bovine chromosomes 19 and 29 and to study the pattern of selection signatures in beef and dairy breeds (Angus and Holstein) of Bos taurus. The extent of LD was estimated for 370 and 186 single nucleotide polymorphism markers on BTA19 and 29 respectively using the square of the correlation coefficient (r2) among alleles at pairs of loci. A comparison of the extent of LD found that the decline of LD followed a similar pattern in both breeds. We observed long-range LD and found that LD dissipates to background levels at a locus separation of about 20 Mb on both chromosomes. Along each chromosome, patterns of LD were variable in both breeds. We find that a minimum of 30 000 informative and evenly spaced markers would be required for whole-genome association studies in cattle. In addition, we have identified chromosomal regions that show some evidence of selection for economically important traits in Angus and Holstein cattle. The results of this study are of importance for the design and application of association studies.


BMC Genomics | 2006

A second generation radiation hybrid map to aid the assembly of the bovine genome sequence

Oliver Jann; Jan Aerts; Michelle Jones; Nicola Hastings; A. Law; Stephanie D. McKay; E. Marques; Aparna Prasad; Jody Yu; Stephen S. Moore; Sandrine Floriot; Marie-Françoise Mahé; A. Eggen; Licia Silveri; Riccardo Negrini; E. Milanesi; Paolo Ajmone-Marsan; Alessio Valentini; Cinzia Marchitelli; Maria Carmela Savarese; Michal Janitz; Ralf Herwig; Steffen Hennig; C. Gorni; E.E. Connor; Tad S. Sonstegard; T. P. L. Smith; Cord Drögemüller; John L. Williams

BackgroundSeveral approaches can be used to determine the order of loci on chromosomes and hence develop maps of the genome. However, all mapping approaches are prone to errors either arising from technical deficiencies or lack of statistical support to distinguish between alternative orders of loci. The accuracy of the genome maps could be improved, in principle, if information from different sources was combined to produce integrated maps. The publicly available bovine genomic sequence assembly with 6× coverage (Btau_2.0) is based on whole genome shotgun sequence data and limited mapping data however, it is recognised that this assembly is a draft that contains errors. Correcting the sequence assembly requires extensive additional mapping information to improve the reliability of the ordering of sequence scaffolds on chromosomes. The radiation hybrid (RH) map described here has been contributed to the international sequencing project to aid this process.ResultsAn RH map for the 30 bovine chromosomes is presented. The map was built using the Roslin 3000-rad RH panel (BovGen RH map) and contains 3966 markers including 2473 new loci in addition to 262 amplified fragment-length polymorphisms (AFLP) and 1231 markers previously published with the first generation RH map. Sequences of the mapped loci were aligned with published bovine genome maps to identify inconsistencies. In addition to differences in the order of loci, several cases were observed where the chromosomal assignment of loci differed between maps. All the chromosome maps were aligned with the current 6× bovine assembly (Btau_2.0) and 2898 loci were unambiguously located in the bovine sequence. The order of loci on the RH map for BTA 5, 7, 16, 22, 25 and 29 differed substantially from the assembled bovine sequence. From the 2898 loci unambiguously identified in the bovine sequence assembly, 131 mapped to different chromosomes in the BovGen RH map.ConclusionAlignment of the BovGen RH map with other published RH and genetic maps showed higher consistency in marker order and chromosome assignment than with the current 6× sequence assembly. This suggests that the bovine sequence assembly could be significantly improved by incorporating additional independent mapping information.


BMC Genetics | 2010

A 2cM genome-wide scan of European Holstein cattle affected by classical BSE

B. Murdoch; Michael L. Clawson; William W. Laegreid; Paul Stothard; Matthew L. Settles; Stephanie D. McKay; Aparna Prasad; Z. Wang; Stephen S. Moore; John L. Williams

BackgroundClassical bovine spongiform encephalopathy (BSE) is an acquired prion disease that is invariably fatal in cattle and has been implicated as a significant human health risk. Polymorphisms that alter the prion protein of sheep or humans have been associated with variations in transmissible spongiform encephalopathy susceptibility or resistance. In contrast, there is no strong evidence that non-synonymous mutations in the bovine prion gene (PRNP) are associated with classical BSE disease susceptibility. However, two bovine PRNP insertion/deletion polymorphisms, one within the promoter region and the other in intron 1, have been associated with susceptibility to classical BSE. These associations do not explain the full extent of BSE susceptibility, and loci outside of PRNP appear to be associated with disease incidence in some cattle populations. To test for associations with BSE susceptibility, we conducted a genome wide scan using a panel of 3,072 single nucleotide polymorphism (SNP) markers on 814 animals representing cases and control Holstein cattle from the United Kingdom BSE epidemic.ResultsTwo sets of BSE affected Holstein cattle were analyzed in this study, one set with known family relationships and the second set of paired cases with controls. The family set comprises half-sibling progeny from six sires. The progeny from four of these sires had previously been scanned with microsatellite markers. The results obtained from the current analysis of the family set yielded both some supporting and new results compared with those obtained in the earlier study. The results revealed 27 SNPs representing 18 chromosomes associated with incidence of BSE disease. These results confirm a region previously reported on chromosome 20, and identify additional regions on chromosomes 2, 14, 16, 21 and 28. This study did not identify a significant association near the PRNP in the family sample set. The only association found in the PRNP region was in the case-control sample set and this was not significant after multiple test correction. The genome scan of the case-control animals did not identify any associations that passed a stringent genome-wide significance threshold.ConclusionsSeveral regions of the genome are statistically associated with the incidence of classical BSE in European Holstein cattle. Further investigation of loci on chromosomes 2, 14, 16, 20, 21 and 28 will be required to uncover any biological significance underlying these marker associations.


BMC Genomics | 2007

High resolution radiation hybrid maps of bovine chromosomes 19 and 29: comparison with the bovine genome sequence assembly

Aparna Prasad; Thomas Schiex; Stephanie D. McKay; B. Murdoch; Z. Wang; James E. Womack; Paul Stothard; Stephen S. Moore

BackgroundHigh resolution radiation hybrid (RH) maps can facilitate genome sequence assembly by correctly ordering genes and genetic markers along chromosomes. The objective of the present study was to generate high resolution RH maps of bovine chromosomes 19 (BTA19) and 29 (BTA29), and compare them with the current 7.1X bovine genome sequence assembly (bovine build 3.1). We have chosen BTA19 and 29 as candidate chromosomes for mapping, since many Quantitative Trait Loci (QTL) for the traits of carcass merit and residual feed intake have been identified on these chromosomes.ResultsWe have constructed high resolution maps of BTA19 and BTA29 consisting of 555 and 253 Single Nucleotide Polymorphism (SNP) markers respectively using a 12,000 rad whole genome RH panel. With these markers, the RH map of BTA19 and BTA29 extended to 4591.4 cR and 2884.1 cR in length respectively. When aligned with the current bovine build 3.1, the order of markers on the RH map for BTA19 and 29 showed inconsistencies with respect to the genome assembly. Maps of both the chromosomes show that there is a significant internal rearrangement of the markers involving displacement, inversion and flips within the scaffolds with some scaffolds being misplaced in the genome assembly. We also constructed cattle-human comparative maps of these chromosomes which showed an overall agreement with the comparative maps published previously. However, minor discrepancies in the orientation of few homologous synteny blocks were observed.ConclusionThe high resolution maps of BTA19 (average 1 locus/139 kb) and BTA29 (average 1 locus/208 kb) presented in this study suggest that by the incorporation of RH mapping information, the current bovine genome sequence assembly can be significantly improved. Furthermore, these maps can serve as a potential resource for fine mapping QTL and identification of causative mutations underlying QTL for economically important traits.


Archive | 2013

Systematic pharmacognostical, phytochemical and pharmacological review on an ethno medicinal plant, Basella alba L.

Shankul Kumar; Aparna Prasad; S. V. Iyer; S.K.Vaidya


Indo American Journal of Pharmaceutical Research | 2013

FLAVONOID AND TRITERPENE RICH FRACTION OF DILLENIA INDICA LINN. LEAVES: AS ANTI-INFLAMMATORY & ANTI-ARTHRITIC ACTIVITY

Ravindra kumar khare; Aparna Prasad; Shankul kumar; Satish V Iyer; S.K.Vaidya; Papiya Bigoniya


Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006 | 2006

BAC contigs based radiation hybrid maps of bovine chromosomes 14 and 19.

Stephanie D. McKay; Aparna Prasad; E. Marques; B. Murdoch; Wang ZhiQuan; J. L. Williams; S. S. Moore

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B. Murdoch

Washington State University

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Z. Wang

University of Alberta

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Z. Xiu

University of Alberta

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