Literature DB >> 25928250

Low levels of taurine introgression in the current Brazilian Nelore and Gir indicine cattle populations.

Ana M Perez O'Brien1, Daniela Höller2, Solomon A Boison3, Marco Milanesi4, Lorenzo Bomba5, Yuri T Utsunomiya6, Roberto Carvalheiro7, Haroldo H R Neves8, Marcos V B da Silva9, Curtis P VanTassell10, Tad S Sonstegard11, Gábor Mészáros12, Paolo Ajmone-Marsan13, Fernando Garcia14,15, Johann Sölkner16.   

Abstract

BACKGROUND: Nelore and Gir are the two most important indicine cattle breeds for production of beef and milk in Brazil. Historical records state that these breeds were introduced in Brazil from the Indian subcontinent, crossed to local taurine cattle in order to quickly increase the population size, and then backcrossed to the original breeds to recover indicine adaptive and productive traits. Previous investigations based on sparse DNA markers detected taurine admixture in these breeds. High-density genome-wide analyses can provide high-resolution information on the genetic composition of current Nelore and Gir populations, estimate more precisely the levels and nature of taurine introgression, and shed light on their history and the strategies that were used to expand these breeds.
RESULTS: We used the high-density Illumina BovineHD BeadChip with more than 777 K single nucleotide polymorphisms (SNPs) that were reduced to 697 115 after quality control filtering to investigate the structure of Nelore and Gir populations and seven other worldwide populations for comparison. Multidimensional scaling and model-based ancestry estimation clearly separated the indicine, European taurine and African taurine ancestries. The average level of taurine introgression in the autosomal genome of Nelore and Gir breeds was less than 1% but was 9% for the Brahman breed. Analyses based on the mitochondrial SNPs present in the Illumina BovineHD BeadChip did not clearly differentiate taurine and indicine haplotype groupings.
CONCLUSIONS: The low level of taurine ancestry observed for both Nelore and Gir breeds confirms the historical records of crossbreeding and supports a strong directional selection against taurine haplotypes via backcrossing. Random sampling in production herds across the country and subsequent genotyping would be useful for a more complete view of the admixture levels in the commercial Nelore and Gir populations.

Entities:  

Mesh:

Year:  2015        PMID: 25928250      PMCID: PMC4404172          DOI: 10.1186/s12711-015-0109-5

Source DB:  PubMed          Journal:  Genet Sel Evol        ISSN: 0999-193X            Impact factor:   4.297


Background

Brazil has the second largest bovine population in the world [1] with more than 211 million heads of cattle as of 2012 [2], from which about 80% are estimated to be indicine cattle (Bos primigenius indicus) [3]. In the last decade, Brazil has emerged as one of the top beef exporters in the world and has a pivotal role in contributing towards ensuring protein availability for the growing global population, especially in emerging countries, which have increasing demands for animal products [4]. The Nelore breed has the largest population and is the main breed used for beef production in Brazil [5]. The Gir breed represents about 10% of indicine cattle and is recognized as the indicine breed with the highest dairy capacity, which has favored its use in recent years [6]. A better understanding of the genetic composition of these important breeds in Brazil can help to reconstruct their history and open up perspectives for their future management and improvement of bovine production in the Brazilian tropical context. Cattle were first introduced in Latin America by Spanish and Portuguese colonizers who brought taurine (Bos primigenius taurus) Iberian breeds in this part of the world [7]. Indicine breeds were imported from India during the 19th and 20th centuries, and it is estimated that a maximum of 7000 animals of indicine origin have been introduced in Brazil [8]. Thanks to their ability to adapt to the Brazilian tropical conditions, indicine cattle became popular and their population rapidly expanded up to the current numbers. This quick process was initiated by the use of locally available female cattle, such as Creoles that derive from Iberian cattle. Thereafter, repeated crosses with indicine males were used as a breeding strategy to recover pure indicine breeds [9]. The analysis of mitochondrial (mt) DNA haplotypes confirms this hypothesis. Brazilian indicine breeds possess the T1 and T3 taurine haplotypes that are very frequent in African and European taurine cattle, respectively [10], and present in Brazilian Creole and Iberian cattle breeds [11]. However, a Y-chromosome analysis of Brazilian cattle suggested an indicine paternal origin in the indicine breeds and indicine male introgression in the taurine creole populations [12]. Very few studies have analyzed the taurine introgression in Brazilian indicine cattle and most available reports are underpowered by the use of low numbers of microsatellite markers [13]. A recent study that was based on an unbiased panel of amplified fragment length polymorphism (AFLP) markers to investigate the genetic structure of several bovine populations at a global scale did not detect significant levels of taurine ancestry in three Brazilian breeds, including Nelore [14]. Several analyses using genome-wide single nucleotide polymorphisms (SNPs) have included Gir and Nelore individuals in their datasets [15-19], but in most cases with very few individuals (<20). Here, we report a comprehensive analysis of the levels of genome-wide autosomal taurine admixture in Brazilian Nelore and Gir populations, through the use of dense SNPs and a comparison of the data with genotypes of other worldwide cattle breeds.

Methods

Genotypes from the Illumina BovineHD BeadChip [20] (>777 K SNPs) were used. All samples were derived from previous studies, and with the exception of the Fleckvieh, Nelore and Gir breeds, individuals were chosen to represent the diversity within each breed. For the Fleckvieh, Nelore and Gir breeds, animals were selected to represent influential bulls that are widely used for artificial insemination in their respective breed. Nelore bulls representing two different types of breeding systems, pedigree and production, were included in equal proportions. Individuals (figures in brackets represent the number of individuals per breed) were sampled from five European taurine breeds: Holstein (67), Brown Swiss (73), Austrian Simmental Fleckvieh (96), Angus (37) and Hereford (27); one African taurine breed: N’Dama (48); and three indicine breeds: Brahman (35), Nelore (115) and Gir (100). The Nelore population included two groups of animals: 15 individuals that were considered as ancestral since they are first descendants of imported animals from India, and 100 individuals born after 2000 that represent the current population. All Gir individuals were also born after 2000 and represented the current population. Quality control of genotypes was performed within breed to exclude SNPs and individuals with more than 10% missing genotypes, and across all breeds to exclude monomorphic SNPs. After quality control, 697 115 autosomal SNPs and 28 (out of 343) mt SNPs were retained and used for analyses. To obtain a general overview of the population structure, a multidimensional scaling analysis was performed by converting the genomic kinship coefficients from the identity-by-state (IBS) matrix generated with PLINK [21] to squared Euclidean distances between individuals via classical multidimensional scaling using the “cmdscale” function from R [22].The R script applied was cmdscale(as.dist(1-X), eig = TRUE), with X being the IBS full (upper, diagonal, lower triangle) matrix computed from PLINK. Genetic variability and differentiation of populations were also determined using Wright’s F-statistics, FIS and FST [23,24]. Proportions of individual ancestry for K (number of assumed ancestral populations) ranging from 2 to 5 were evaluated using the unsupervised model-based approach implemented in ADMIXTURE v1.22 software [25]. The same analyses were run for a subset of the data after reducing the number of individuals per breed to a maximum of 20 randomly chosen animals, to evaluate the estimated ancestries using a balanced dataset for number of individuals per breed. We performed a small number of runs with different sets of random samples of 20 animals per group, with similar results. This is consistent with our experience from a different admixture study [26] in which large numbers of subsets of 10 animals per ancestral breed were used. The best ancestry estimates were obtained by using the cross-validation option implemented by ADMIXTURE. The mt SNPs were used to construct haplotypes [27] and the frequency for each identified haplotype was calculated per breed to evaluate the ability of these SNPs to separate individuals into indicine and taurine European or African clusters.

Results and discussion

FST values are in Table 1 and indicate very strong differentiation between indicine and taurine breeds. This is consistent with the results of multidimensional scaling (Figure 1). The first dimension explains almost half of the variance in the dataset and clearly separates indicine and taurine populations. The second dimension explains 4% of the variance and separates the African taurine N’Dama cattle from the European taurine populations. The Hereford breed shows a larger dispersion and is more distant from the other four European taurine breeds, which are tightly clustered, confirming previous results [16]. This separation of the Hereford breed probably reflects ascertainment bias of the SNPs since all SNPs of the Illumina BovineHD BeadChip were designed on the genome sequence that was derived from the sequence of a Hereford cow, thus increasing the observed diversity in this breed. A separate analysis excluding Hereford individuals (not shown) confirmed the separation between indicine, taurine and African taurine N’Dama breeds, with similar values (47, 81 and 4.48%, respectively). Dispersion in the N’Dama cluster towards the indicine gradient of positive PC1 coordinates reveals introgression of indicine genetic material in some individuals of this breed as reported by [17,18], and as shown by our results of ancestry estimation (see next paragraph). One hypothesis that may explain these levels of indicine ancestry is that the N’Dama cattle sampled here originate from different geographical locations in Nigeria, with the more pure African taurine populations possibly reflecting the result of selection against taurine/indicine crosses in the humid tsetse regions of West Africa as suggested by Freeman et al. [28]. The Nelore and Gir populations were clustered and the distance between these and the taurine breeds was greatest for the 15 ancestral Nelore individuals in the PC1 coordinate. The Brahman cluster was more dispersed and slightly closer to the taurine breeds, which agrees with the history of taurine introgression in this breed. The same patterns of separation between indicine and taurine cattle and between European and African taurine cattle explained by the first two components were reported in [16,18] in which the Illumina Bovine 50 K BeadChip and a larger number of breeds were used.
Table 1

Indicators for population variability and differentiation (Wrights F on diagonals and F on off-diagonals)

Breeds Holstein Brown Swiss Fleckvieh Hereford Angus N‘Dama Brahman Gir Nelore Ancestral Nelore
Holstein−0.0058
Brown Swiss0.0906−0.0258
Fleckvieh0.13680.0647−0.0192
Hereford0.06830.15990.13680.0683
Angus0.08530.10370.08570.16090.0139
N‘Dama0.16310.15900.14190.25390.18850.0268
Brahman0.27070.27210.20140.37400.28630.26910.0137
Gir0.31050.30470.29330.43200.33660.29450.0477−0.0097
Nelore0.29320.29160.28160.40620.31310.28450.04420.0475−0.0063
Ancestral Nelore0.29480.29690.28640.39900.30970.29340.04880.03910.0023−0.0101
Figure 1

Multidimensional scaling of all autosomal SNPs. First (x-axis) and second (y-axis) dimensions with the variance explained shown in parenthesis under the corresponding axis separate taurine and indicine breeds and African and European taurine breeds.

Indicators for population variability and differentiation (Wrights F on diagonals and F on off-diagonals) Multidimensional scaling of all autosomal SNPs. First (x-axis) and second (y-axis) dimensions with the variance explained shown in parenthesis under the corresponding axis separate taurine and indicine breeds and African and European taurine breeds. The results for the clustering of populations assuming two to five ancestries (K) are in Figure 2. Please note that the K range presented here was chosen arbitrarily for easier interpretation of ancestries. Please also note that the term ancestries used here represents statistical entities (clusters), not biologically separable units, thus the results need to be interpreted with caution. The first two estimated ancestries (K = 2) clearly separated taurine and indicine populations and showed that the Gir and Nelore breeds have an almost completely pure indicine autosomal ancestry with average levels of taurine introgression of 0.1% and 0.9%, respectively, while all ancestral Nelore individuals showed no signs of taurine ancestry. The Brahman sample exhibited a higher but still moderate taurine ancestry with an average level of taurine introgression of 8.9% across individuals, which is consistent with the known taurine introgression during the formation of this breed and with the results obtained by [15-18].
Figure 2

Ancestry models with K ranging from 2 to 5 assumed ancestries. Individual unsupervised model-based ancestry estimations for K ranging from 2 to 5 were assessed by ADMIXTURE. Individuals are represented by vertical bars, with breeds separated by black vertical lines and the proportion of each ancestry from 0 to 1 is shown on the y-axis, while breeds are indicated on the x-axis at the bottom of the K plots.

Ancestry models with K ranging from 2 to 5 assumed ancestries. Individual unsupervised model-based ancestry estimations for K ranging from 2 to 5 were assessed by ADMIXTURE. Individuals are represented by vertical bars, with breeds separated by black vertical lines and the proportion of each ancestry from 0 to 1 is shown on the y-axis, while breeds are indicated on the x-axis at the bottom of the K plots. With K = 3, the African and European taurine populations were separated and levels of African taurine ancestry were low in some European populations, particularly in the Fleckvieh breed. A very low level of African taurine ancestry was estimated for the indicine populations, i.e. on average 1.5% in the Brahman and 0.4% in the Nelore populations. Indicine ancestry was observed in some of the African N’Dama individuals, but the number of these was smaller than with K = 2. Indeed with K = 3 a better fit of the model is probably obtained i.e. three ancestries are able to explain the larger divergence between African and European taurine ancestry as supported by the findings of Decker et al. [17]. With K = 4, Brown Swiss and Holstein cattle were clearly separated, with the other three European populations showing intermediate levels of both ancestries. With the addition of one more assumed ancestry (K = 5), the Gir and Nelore breeds were separated into two clusters of indicine ancestry and the Brahman breed had intermediate levels of taurine and indicine ancestries. The separation of the Nelore and Gir breeds into different ancestries is consistent with the fact that they originated from separate Indian populations; the first population derived from gray breeds of Northern and central India, and the second one from the red and white-speckled cattle from the West coast of India, south of the Kathiawar peninsula [29]. The results obtained for the Brahman breed reflect the historical records on the formation of this breed, which indicate that a synthetic indicine population was created in the United States during the early 1900’s by breeding indicine animals of the Nelore, Gir and Guzerat breeds imported mainly from Brazil to intensively upgrade the available taurine cattle from a base population [29,30]. Levels of taurine introgression were higher in the Brahman breed than in the Nelore and Gir breeds, which may indicate the preservation of taurine specific haplotypes through stronger selection for specific productive characteristics as suggested by Bolormaa et al. [31]. Previous analyses based on mt DNA sequence data also confirmed a maternally-derived taurine influence in Brahman cattle since both European and African characteristic mt DNA haplogroups were found in animals from this breed [12]. When the same analyses were repeated by restricting the number of individuals per breed to a maximum of 20 randomly chosen animals [see Additional file 1], the results differed most with K = 3. European taurine breeds displayed higher levels of African taurine ancestry than those in the full dataset, with the highest level (18%) observed for individuals of the Fleckvieh breed. In addition, the analysis with K = 4 separated the Hereford from the other European taurine breeds, which is more consistent with the results obtained from multidimensional scaling. The lowest cross-validation error for different numbers of ancestries was obtained with 10 assumed ancestries (results not shown) for which each breed was assigned a main ancestry: the N’Dama breed was separated in two different ancestries based on the observed indicine introgression at K values lower than 10, and all Nelore individuals including the ancestral individuals were assigned to a single cluster. Analysis of mt SNPs led to the reconstruction of 27 haplotypes and their frequencies are summarized in Table 2. Our results indicate that the mt SNPs included in the Illumina BovineHD BeadChip could neither separate the analyzed populations assayed nor attribute haplotypes to the known mt haplogroups. The strongest evidence came from one individual of pure indicine origin (ancestral Nelore individual) that was assigned the most frequent haplotype across all taurine breeds (Haplotype 1), while one Holstein and one Hereford individual were each assigned the haplotype that had the highest frequency in the ancestral Nelore individual (Haplotype 2). Mitochondrial DNA analyses for the characterization of bovine haplogroups have widely used a major hypervariable region in the mt D-loop, located in the bovine mt genome between 16 023 and 16 262 bp [32]. Although eight SNPs were located within this region, seven were monomorphic, and consequently non-informative for the individuals studied. A haplotype separation approach was also undertaken using the nine Y-chromosome SNPs that remained after quality control, but it did not reveal any separation between indicine and taurine haplotypes (results not shown).
Table 2

Frequency of estimated mitochondrial haplotypes for each breed

Breed Haplotype 1 2 3 4 Others
Holstein0.910.02--0.07
Brown Swiss0.77-0.12-0.11
Fleckvieh0.82--0.010.17
Hereford0.930.04--0.03
Angus0.86--0.030.11
N’Dama0.90-0.06-0.04
Brahman0.540.17-0.140.15
Gir0.840.15--0.01
Nelore0.960.03--0.01
Ancestral Nelore0.080.85--0.07

Rounded estimated frequencies for haplotypes with frequencies higher than 0.05 and sum of all other observed haplotypes in each breed.

Frequency of estimated mitochondrial haplotypes for each breed Rounded estimated frequencies for haplotypes with frequencies higher than 0.05 and sum of all other observed haplotypes in each breed. The main objective of this study was to assess the level of admixture in current Nelore and Gir Brazilian populations. Taurine genome admixture events during the initial expansion of these two breeds are reported in historical records and supported by published results on mt DNA. High-resolution genome-wide analyses indicate that the individuals in the current populations of both breeds possess levels of autosomal taurine ancestry lower than 1%, which is consistent with a process of several decades of continuous purifying selection through the use of indicine imported males as suggested by [9]. Assuming a strict upgrading system from a pure Creole population, seven generations would be required to achieve the observed levels of taurine introgression, which considering a generation interval of 7 to 8 years [33] would correspond to between 50 and 65 years. This is reasonable scenario for both Brazilian breeds, for which official pedigree recording was established in 1936 [3]. The taurine ancestry observed in both Brazilian breeds derives from individuals that came from both Europe and Africa. This confirms that the Brazilian Creole breeds are likely the source of the introgression. In fact, the South American Creole populations have been reported to have a moderate level of African taurine ancestry [17] and to be descendants of Spanish and Portuguese cattle that carry mt haplotypes that are frequently found in African taurine populations [10,12]. It is worth noting that the sample of Nelore individuals analyzed here included in equal proportions individuals that are registered as being of pure indicine origin (“PO” in the national registry) and individuals not considered pure by registry, but no difference in the levels of admixture were observed among these two groups of Nelore individuals.

Conclusions

Using a high-resolution genome-wide DNA analysis, we identified very low levels of taurine introgression in Brazilian Nelore and Gir cattle populations, which contradicts the previous observations in [9,13] but supports those in [19]. Our findings indicate that the current Brazilian Nelore and Gir populations are of almost pure indicine ancestry regarding their autosomal genome. The Brahman population used in this analysis showed average levels of taurine ancestry of 9%, which is consistent with the fact that taurine animals were used to develop this breed in the USA. This result also suggests that, in this breed, there has been a stronger selection for production characteristics that derive from the influence of taurine haplotypes. The Nelore and Gir individuals that were genotyped in this study are all bulls used for artificial insemination and reflect the top of the breeding pyramid in these two breeds. Random sampling of animals from production herds across the country would provide a more complete picture and would be useful to evaluate admixture levels in commercial populations. Finally, the mt SNPs available in the Illumina BovineHD BeadChip could not differentiate between the major known mt haplogroups and could not identify subspecies or subpopulation specific haplotypes among the breeds analyzed.
  20 in total

Review 1.  Production systems--an example from Brazil.

Authors:  José Bento Sterman Ferraz; Pedro Eduardo de Felício
Journal:  Meat Sci       Date:  2009-06-08       Impact factor: 5.209

2.  Genetic evidence for Near-Eastern origins of European cattle.

Authors:  C S Troy; D E MacHugh; J F Bailey; D A Magee; R T Loftus; P Cunningham; A T Chamberlain; B C Sykes; D G Bradley
Journal:  Nature       Date:  2001-04-26       Impact factor: 49.962

3.  Pedigree analysis in the Brazilian Zebu breeds.

Authors:  F J C Faria; A E V Filho; F E Madalena; L A Josahkian
Journal:  J Anim Breed Genet       Date:  2009-04       Impact factor: 2.380

4.  Fast model-based estimation of ancestry in unrelated individuals.

Authors:  David H Alexander; John Novembre; Kenneth Lange
Journal:  Genome Res       Date:  2009-07-31       Impact factor: 9.043

5.  Footprints of selection in the ancestral admixture of a New World Creole cattle breed.

Authors:  Mathieu Gautier; Michel Naves
Journal:  Mol Ecol       Date:  2011-06-20       Impact factor: 6.185

6.  A partial african ancestry for the creole cattle populations of the Caribbean.

Authors:  D A Magee; C Meghen; S Harrison; C S Troy; T Cymbron; C Gaillard; A Morrow; J C Maillard; D G Bradley
Journal:  J Hered       Date:  2002 Nov-Dec       Impact factor: 2.645

7.  Insights into the genetic history of French cattle from dense SNP data on 47 worldwide breeds.

Authors:  Mathieu Gautier; Denis Laloë; Katayoun Moazami-Goudarzi
Journal:  PLoS One       Date:  2010-09-30       Impact factor: 3.240

8.  Genome-wide survey of SNP variation uncovers the genetic structure of cattle breeds.

Authors:  Richard A Gibbs; Jeremy F Taylor; Curtis P Van Tassell; William Barendse; Kellye A Eversole; Clare A Gill; Ronnie D Green; Debora L Hamernik; Steven M Kappes; Sigbjørn Lien; Lakshmi K Matukumalli; John C McEwan; Lynne V Nazareth; Robert D Schnabel; George M Weinstock; David A Wheeler; Paolo Ajmone-Marsan; Paul J Boettcher; Alexandre R Caetano; Jose Fernando Garcia; Olivier Hanotte; Paola Mariani; Loren C Skow; Tad S Sonstegard; John L Williams; Boubacar Diallo; Lemecha Hailemariam; Mario L Martinez; Chris A Morris; Luiz O C Silva; Richard J Spelman; Woudyalew Mulatu; Keyan Zhao; Colette A Abbey; Morris Agaba; Flábio R Araujo; Rowan J Bunch; James Burton; Chiara Gorni; Hanotte Olivier; Blair E Harrison; Bill Luff; Marco A Machado; Joel Mwakaya; Graham Plastow; Warren Sim; Timothy Smith; Merle B Thomas; Alessio Valentini; Paul Williams; James Womack; John A Woolliams; Yue Liu; Xiang Qin; Kim C Worley; Chuan Gao; Huaiyang Jiang; Stephen S Moore; Yanru Ren; Xing-Zhi Song; Carlos D Bustamante; Ryan D Hernandez; Donna M Muzny; Shobha Patil; Anthony San Lucas; Qing Fu; Matthew P Kent; Richard Vega; Aruna Matukumalli; Sean McWilliam; Gert Sclep; Katarzyna Bryc; Jungwoo Choi; Hong Gao; John J Grefenstette; Brenda Murdoch; Alessandra Stella; Rafael Villa-Angulo; Mark Wright; Jan Aerts; Oliver Jann; Riccardo Negrini; Mike E Goddard; Ben J Hayes; Daniel G Bradley; Marcos Barbosa da Silva; Lilian P L Lau; George E Liu; David J Lynn; Francesca Panzitta; Ken G Dodds
Journal:  Science       Date:  2009-04-24       Impact factor: 47.728

9.  Origins and genetic diversity of New World Creole cattle: inferences from mitochondrial and Y chromosome polymorphisms.

Authors:  C Ginja; M C T Penedo; L Melucci; J Quiroz; O R Martínez López; M A Revidatti; A Martínez-Martínez; J V Delgado; L T Gama
Journal:  Anim Genet       Date:  2009-10-09       Impact factor: 3.169

10.  An assessment of population structure in eight breeds of cattle using a whole genome SNP panel.

Authors:  Stephanie D McKay; Robert D Schnabel; Brenda M Murdoch; Lakshmi K Matukumalli; Jan Aerts; Wouter Coppieters; Denny Crews; Emmanuel Dias Neto; Clare A Gill; Chuan Gao; Hideyuki Mannen; Zhiquan Wang; Curt P Van Tassell; John L Williams; Jeremy F Taylor; Stephen S Moore
Journal:  BMC Genet       Date:  2008-05-20       Impact factor: 2.797

View more
  11 in total

1.  Genetic diversity, population structure, and correlations between locally adapted zebu and taurine breeds in Brazil using SNP markers.

Authors:  Bárbara Machado Campos; Adriana Santana do Carmo; Andrea Alves do Egito; Arthur Silva da Mariante; Maria Socorro Muaés do Albuquerque; João José Simoni de Gouveia; Carlos Henrique Mendes Malhado; Lucas Lima Verardo; Marcos Vinícius Gualberto Barbosa da Silva; Paulo Luiz Souza Carneiro
Journal:  Trop Anim Health Prod       Date:  2017-08-15       Impact factor: 1.559

2.  Local and global patterns of admixture and population structure in Iranian native cattle.

Authors:  Karim Karimi; Eva M Strucken; Nasir Moghaddar; Mohammad H Ferdosi; Ali Esmailizadeh; Cedric Gondro
Journal:  BMC Genet       Date:  2016-07-15       Impact factor: 2.797

3.  Estimation of Genomic Breed Composition for Purebred and Crossbred Animals Using Sparsely Regularized Admixture Models.

Authors:  Yangfan Wang; Xiao-Lin Wu; Zhi Li; Zhenmin Bao; Richard G Tait; Stewart Bauck; Guilherme J M Rosa
Journal:  Front Genet       Date:  2020-06-11       Impact factor: 4.599

4.  Genome-wide assessment of genetic diversity and population structure insights into admixture and introgression in Chinese indigenous cattle.

Authors:  Wengang Zhang; Xue Gao; Yang Zhang; Yumin Zhao; Jiabao Zhang; Yutang Jia; Bo Zhu; Lingyang Xu; Lupei Zhang; Huijiang Gao; Junya Li; Yan Chen
Journal:  BMC Genet       Date:  2018-12-20       Impact factor: 2.797

5.  A Genetic Investigation of Island Jersey Cattle, the Foundation of the Jersey Breed: Comparing Population Structure and Selection to Guernsey, Holstein, and United States Jersey Cattle.

Authors:  Heather J Huson; Tad S Sonstegard; James Godfrey; David Hambrook; Cari Wolfe; George Wiggans; Harvey Blackburn; Curtis P VanTassell
Journal:  Front Genet       Date:  2020-04-17       Impact factor: 4.599

6.  The mosaic genome of indigenous African cattle as a unique genetic resource for African pastoralism.

Authors:  Kwondo Kim; Taehyung Kwon; Tadelle Dessie; DongAhn Yoo; Okeyo Ally Mwai; Jisung Jang; Samsun Sung; SaetByeol Lee; Bashir Salim; Jaehoon Jung; Heesu Jeong; Getinet Mekuriaw Tarekegn; Abdulfatai Tijjani; Dajeong Lim; Seoae Cho; Sung Jong Oh; Hak-Kyo Lee; Jaemin Kim; Choongwon Jeong; Stephen Kemp; Olivier Hanotte; Heebal Kim
Journal:  Nat Genet       Date:  2020-09-28       Impact factor: 41.307

7.  Study on the introgression of beef breeds in Canchim cattle using single nucleotide polymorphism markers.

Authors:  Marcos Eli Buzanskas; Ricardo Vieira Ventura; Tatiane Cristina Seleguim Chud; Priscila Arrigucci Bernardes; Daniel Jordan de Abreu Santos; Luciana Correia de Almeida Regitano; Maurício Mello de Alencar; Maurício de Alvarenga Mudadu; Ricardo Zanella; Marcos Vinícius Gualberto Barbosa da Silva; Changxi Li; Flavio Schramm Schenkel; Danísio Prado Munari
Journal:  PLoS One       Date:  2017-02-09       Impact factor: 3.240

8.  A PLAG1 mutation contributed to stature recovery in modern cattle.

Authors:  Yuri Tani Utsunomiya; Marco Milanesi; Adam Taiti Harth Utsunomiya; Rafaela Beatriz Pintor Torrecilha; Eui-Soo Kim; Márcio Silva Costa; Tamíris Sayuri Aguiar; Steven Schroeder; Adriana Santana do Carmo; Roberto Carvalheiro; Haroldo Henrique Rezende Neves; Romulo Cláudio Morozini Padula; Thayla Souza Sussai; Ludmilla Balbo Zavarez; Rafael Silva Cipriano; Maria Margareth Theodoro Caminhas; George Hambrecht; Licia Colli; Elisa Eufemi; Paolo Ajmone-Marsan; Deneb Cesana; Marco Sannazaro; Maurizio Buora; Michele Morgante; George Liu; Derek Bickhart; Curtis Paul Van Tassell; Johann Sölkner; Tad Stewart Sonstegard; José Fernando Garcia
Journal:  Sci Rep       Date:  2017-12-07       Impact factor: 4.379

9.  Assessing genetic architecture and signatures of selection of dual purpose Gir cattle populations using genomic information.

Authors:  Amanda Marchi Maiorano; Daniela Lino Lourenco; Shogo Tsuruta; Alejandra Maria Toro Ospina; Nedenia Bonvino Stafuzza; Yutaka Masuda; Anibal Eugenio Vercesi Filho; Joslaine Noely Dos Santos Goncalves Cyrillo; Rogério Abdallah Curi; Josineudson Augusto Ii de Vasconcelos Silva
Journal:  PLoS One       Date:  2018-08-02       Impact factor: 3.240

10.  Selection signatures in tropical cattle are enriched for promoter and coding regions and reveal missense mutations in the damage response gene HELB.

Authors:  Marina Naval-Sánchez; Laercio R Porto-Neto; Diercles F Cardoso; Ben J Hayes; Hans D Daetwyler; James Kijas; Antonio Reverter
Journal:  Genet Sel Evol       Date:  2020-05-27       Impact factor: 4.297

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.