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Dive into the research topics where Daniela Iamartino is active.

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Featured researches published by Daniela Iamartino.


PLOS ONE | 2017

Design and validation of a 90K SNP genotyping assay for the water buffalo (Bubalus bubalis).

Daniela Iamartino; Ezequiel L. Nicolazzi; Curtis P. Van Tassell; James M. Reecy; Eric R. Fritz-Waters; James E. Koltes; Stefano Biffani; Tad S. Sonstegard; Steven G. Schroeder; Paolo Ajmone-Marsan; Riccardo Negrini; Rolando Pasquariello; Paola Ramelli; Angelo Coletta; José Fernando Garcia; Ahmad Ali; L. Ramunno; G. Cosenza; Denise Aparecida Andrade de Oliveira; Marcela G. Drummond; Eduardo Bastianetto; Alessandro Davassi; Ali Pirani; Fiona Brew; John L. Williams

Background The availability of the bovine genome sequence and SNP panels has improved various genomic analyses, from exploring genetic diversity to aiding genetic selection. However, few of the SNP on the bovine chips are polymorphic in buffalo, therefore a panel of single nucleotide DNA markers exclusive for buffalo was necessary for molecular genetic analyses and to develop genomic selection approaches for water buffalo. The creation of a 90K SNP panel for river buffalo and testing in a genome wide association study for milk production is described here. Methods The genomes of 73 buffaloes of 4 different breeds were sequenced and aligned against the bovine genome, which facilitated the identification of 22 million of sequence variants among the buffalo genomes. Based on frequencies of variants within and among buffalo breeds, and their distribution across the genome, inferred from the bovine genome sequence, 90,000 putative single nucleotide polymorphisms were selected to create an Axiom® Buffalo Genotyping Array 90K. Results This 90K “SNP-Chip” was tested in several river buffalo populations and found to have ∼70% high quality and polymorphic SNPs. Of the 90K SNPs about 24K were also found to be polymorphic in swamp buffalo. The SNP chip was used to investigate the structure of buffalo populations, and could distinguish buffalo from different farms. A Genome Wide Association Study identified genomic regions on 5 chromosomes putatively involved in milk production. Conclusion The 90K buffalo SNP chip described here is suitable for the analysis of the genomes of river buffalo breeds, and could be used for genetic diversity studies and potentially as a starting point for genome-assisted selection programmes. This SNP Chip could also be used to analyse swamp buffalo, but many loci are not informative and creation of a revised SNP set specific for swamp buffalo would be advised.


Tropical Animal Health and Production | 2017

Identification of candidate genes for paratuberculosis resistance in the native Italian Garfagnina goat breed

Francesca Cecchi; Claudia Russo; Daniela Iamartino; Alessia Galiero; Barbara Turchi; Filippo Fratini; Sara Degl’Innocenti; Raffaele Mazza; Stefano Biffani; Giovanna Preziuso; Carlo Cantile

Paratuberculosis disease is a chronic bacterial disease infection of ruminants of global relevance, caused by MAP (Mycobacterium avium subsp. paratuberculosis). The present study was conducted on the Garfagnina goat breed that is an Italian native goat population registered on the Tuscan regional repertory of genetic resources at risk of extinction. Forty-eight adult goats (27 serologically positive to MAP-positive and 21 serologically negative to MAP-negative) belonging to a single flock that had experienced annual mortalities due to MAP infection were identified and genotyped with the Illumina GoatSNP60 BeadChip. Diagnosis was achieved by serological tests, as well as post-mortem examination of affected animals. A genome-wide scan was then performed on the individual marker genotypes, in an attempt to identify genomic regions associated with MAP infection disease. Nine significant markers were highlighted and they were located within, or nearby, annotated genes. Two genes found in this study encode are linked to protein kinases that are among the most important enzymes involved in the immune response to Johne’s disease, and four genes are involved in the functions of the Golgi complex.


GigaScience | 2017

Genome assembly and transcriptome resource for river buffalo, Bubalus bubalis (2n = 50)

John L. Williams; Daniela Iamartino; Kim D. Pruitt; Tad S. Sonstegard; T. P. L. Smith; Wai Yee Low; Tommaso Biagini; Lorenzo Bomba; Stefano Capomaccio; Bianca Castiglioni; Angelo Coletta; Federica Corrado; Fabrizio Ferrè; L. Iannuzzi; Cynthia T. Lawley; Nicolò Pietro Paolo Macciotta; Matthew W. McClure; Giordano Mancini; D. Matassino; Raffaele Mazza; Marco Milanesi; Bianca Moioli; Nicola Morandi; L. Ramunno; V. Peretti; Fabio Pilla; Paola Ramelli; Steven G. Schroeder; Francesco Strozzi; Françoise Thibaud-Nissen

Abstract Water buffalo is a globally important species for agriculture and local economies. A de novo assembled, well-annotated reference sequence for the water buffalo is an important prerequisite for studying the biology of this species, and is necessary to manage genetic diversity and to use modern breeding and genomic selection techniques. However, no such genome assembly has been previously reported. There are 2 species of domestic water buffalo, the river (2n = 50) and the swamp (2n = 48) buffalo. Here we describe a draft quality reference sequence for the river buffalo created from Illumina GA and Roche 454 short read sequences using the MaSuRCA assembler. The assembled sequence is 2.83 Gb, consisting of 366 983 scaffolds with a scaffold N50 of 1.41 Mb and contig N50 of 21 398 bp. Annotation of the genome was supported by transcriptome data from 30 tissues and identified 21 711 predicted protein coding genes. Searches for complete mammalian BUSCO gene groups found 98.6% of curated single copy orthologs present among predicted genes, which suggests a high level of completeness of the genome. The annotated sequence is available from NCBI at accession GCA_000471725.1.


Italian Journal of Animal Science | 2003

The Pentro horse: genetic characterization by microsatellite markers

Arianna Bruzzone; Daniela Iamartino; Michele Blasi; Fabio Pilla

Abstract The Pentro horse population is an autochthonous breed from a breeding area characterized by climatic and geographic peculiarities. The horse population is interesting because of its rusticity, however, has run the risk of loosing its identity because of the introduction of exotic genetic material. This study presents data of the genetic characterization by means of microsatellite markers. A total of 12 microsatellite loci were used to score 147 individuals among those with the Pentro phenotype, as well as 16 individuals representing the variable part of the population. Allele frequencies were calculated for each locus, with the mean number of alleles (Nall = 6.7) and the expected heterozygosity (He = 0.724). The mean observed heterozygosity was 0.695. The obtained data were used to compare the genetic structure of the Pentro horse to six other Italian breeds. The N-J tree computed on individual genetic distances showed that 93% of Pentro horses clustered together.


Genomics | 2018

Comparative sequence alignment reveals River Buffalo genomic structural differences compared with cattle

Wenli Li; Derek M. Bickhart; L. Ramunno; Daniela Iamartino; John L. Williams; George E. Liu

This study sought to characterize differences in gene content, regulation and structure between taurine cattle and river buffalo (one subspecies of domestic water buffalo) using the extensively annotated UMD3.1 cattle reference genome as a basis for comparisons. We identified 127 deletion CNV regions in river buffalo representing 5 annotated cattle genes. We also characterized 583 merged mobile element insertion (MEI) events within the upstream regions of annotated cattle genes. Transcriptome analysis in various tissue types on river buffalo confirmed the absence of four cattle genes. Four genes which may be related to phenotypic differences in meat quality and color, had upstream MEI predictions and were found to have significantly elevated expression in river buffalo compared with cattle. Our comparative alignment approach and gene expression analyses suggested a functional role for many genomic structural variations, which may contribute to the unique phenotypes of river buffalo.


Frontiers in Genetics | 2018

New Insights on Water Buffalo Genomic Diversity and Post-Domestication Migration Routes From Medium Density SNP Chip Data

Licia Colli; Marco Milanesi; Elia Vajana; Daniela Iamartino; Lorenzo Bomba; Francesco Puglisi; Marcello Del Corvo; Ezequiel L. Nicolazzi; Sahar S. E. Ahmed; Jesus Rommel V. Herrera; Libertado C. Cruz; Shujun Zhang; Aixin Liang; Guohua Hua; Liguo Yang; Xingjie Hao; Fuyuan Zuo; Song-Jia Lai; Shuilian Wang; Ruyu Liu; Yundeng Gong; Mahdi Mokhber; Yongjiang Mao; Feng Guan; Augustin Vlaic; Bogdan Vlaic; L. Ramunno; G. Cosenza; Ali Ahmad; Ihsan Soysal

The domestic water buffalo is native to the Asian continent but through historical migrations and recent importations, nowadays has a worldwide distribution. The two types of water buffalo, i.e., river and swamp, display distinct morphological and behavioral traits, different karyotypes and also have different purposes and geographical distributions. River buffaloes from Pakistan, Iran, Turkey, Egypt, Romania, Bulgaria, Italy, Mozambique, Brazil and Colombia, and swamp buffaloes from China, Thailand, Philippines, Indonesia and Brazil were genotyped with a species-specific medium-density 90K SNP panel. We estimated the levels of molecular diversity and described population structure, which revealed historical relationships between populations and migration events. Three distinct gene pools were identified in pure river as well as in pure swamp buffalo populations. Genomic admixture was seen in the Philippines and in Brazil, resulting from importations of animals for breed improvement. Our results were largely consistent with previous archeological, historical and molecular-based evidence for two independent domestication events for river- and swamp-type buffaloes, which occurred in the Indo-Pakistani region and close to the China/Indochina border, respectively. Based on a geographical analysis of the distribution of diversity, our evidence also indicated that the water buffalo spread out of the domestication centers followed two major divergent migration directions: river buffaloes migrated west from the Indian sub-continent while swamp buffaloes migrated from northern Indochina via an east-south-eastern route. These data suggest that the current distribution of water buffalo diversity has been shaped by the combined effects of multiple migration events occurred at different stages of the post-domestication history of the species.


Data in Brief | 2018

Genomic structural differences between cattle and River Buffalo identified through comparative genomic and transcriptomic analysis

Wenli Li; Derek M. Bickhart; L. Ramunno; Daniela Iamartino; John L. Williams; George E. Liu

Water buffalo (Bubalus bubalis L.) is an important livestock species worldwide. Like many other livestock species, water buffalo lacks high quality and continuous reference genome assembly, required for fine-scale comparative genomics studies. In this work, we present a dataset, which characterizes genomic differences between water buffalo genome and the extensively studied cattle (Bos taurus Taurus) reference genome. This data set is obtained after alignment of 14 river buffalo whole genome sequencing datasets to the cattle reference. This data set consisted of 13,444 deletion CNV regions, and 11,050 merged mobile element insertion (MEI) events within the upstream regions of annotated cattle genes. Gene expression data from cattle and buffalo were also presented for genes impacted by these regions. Public assessment of this dataset will allow for further analyses and functional annotation of genes that are potentially associated with phenotypic difference between cattle and water buffalo.


Bioinformatics | 2014

AffyPipe: an open-source pipeline for Affymetrix Axiom genotyping workflow

Ezequiel L. Nicolazzi; Daniela Iamartino; John L. Williams


Buffalo Bulletin | 2013

The buffalo genome and the application of genomics in animal management and improvement.

Daniela Iamartino; J. L. Williams; Tad S. Sonstegard; James M. Reecy; C. van Tassell; Ezequiel L. Nicolazzi; Stefano Biffani; F. Biscarini; Steve Schroeder; D. A. A. de Oliveira; Angelo Coletta; José Fernando Garcia; Ahmad Ali; L. Ramunno; Rolando Pasquariello; Marcela G. Drummond; Eduardo Bastianetto; E. Fritz; J. Knoltes


Livestock Science | 2018

Accuracy of imputation of single-nucleotide polymorphism marker genotypes for water buffaloes (Bubalus bubalis) using different reference population sizes and imputation tools

Seyed Mohammad Ghoreishifar; Hossein Moradi-Shahrbabak; Mohammad Moradi-Shahrbabak; Ezequiel L. Nicolazzi; John L. Williams; Daniela Iamartino; A. Nejati-Javaremi

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L. Ramunno

University of Naples Federico II

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G. Cosenza

University of Naples Federico II

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Marco Milanesi

Catholic University of the Sacred Heart

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Tad S. Sonstegard

Agricultural Research Service

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Licia Colli

Catholic University of the Sacred Heart

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Lorenzo Bomba

Wellcome Trust Sanger Institute

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