A repeat purchase diffusion model : Bayesian estimation and control
Diversity and evolution of the highly polymorphic tandem repeat LEI0258 in the chicken MHC-B region
Transcript of Diversity and evolution of the highly polymorphic tandem repeat LEI0258 in the chicken MHC-B region
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Immunogenetics ISSN 0093-7711Volume 65Number 6 Immunogenetics (2013) 65:447-459DOI 10.1007/s00251-013-0697-6
Diversity and evolution of the highlypolymorphic tandem repeat LEI0258 in thechicken MHC-B region
Olympe Chazara, Chi-Sheng Chang,Nicolas Bruneau, Khalid Benabdeljelil,Jean-Claude Fotsa, Boniface B. Kayang,N’Goran E. Loukou, et al.
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ORIGINAL PAPER
Diversity and evolution of the highly polymorphic tandemrepeat LEI0258 in the chicken MHC-B region
Olympe Chazara & Chi-Sheng Chang & Nicolas Bruneau &
Khalid Benabdeljelil & Jean-Claude Fotsa & Boniface B. Kayang &
N’Goran E. Loukou & Richard Osei-Amponsah & Valentine Yapi-Gnaore &
Issaka A. K. Youssao & Chih-Feng Chen & Marie-Hélène Pinard-van der Laan &
Michèle Tixier-Boichard & Bertrand Bed’Hom
Received: 22 January 2013 /Accepted: 10 March 2013 /Published online: 26 March 2013# Springer-Verlag Berlin Heidelberg 2013
Abstract The chicken major histocompatibility complex(MHC) is located on the microchromosome 16 and is de-scribed as the most variable region in the genome. Thegenes of the MHC play a central role in the immune system.Particularly, genes encoding proteins involved in the antigenpresentation to T cells. Therefore, describing the geneticpolymorphism of this region is crucial in understandinghost–pathogen interactions. The tandem repeat LEI0258 islocated within the core area of the B region of the chickenMHC (MHC-B region) and its genotypes correlate withserology. This marker was used to provide a picture of theworldwide diversity of the chicken MHC-B region and tocategorize chicken MHC haplotypes. More than 1,600 ani-mals from 80 different populations or lines of chickens fromAfrica, Asia, and Europe, including wild fowl species, weregenotyped at the LEI0258 locus. Fifty novel alleles were
described after sequencing. The resulting 79 alleles wereclassified into 12 clusters, based on the SNPs and indels foundwithin the sequences flanking the repeats. Furthermore, hy-potheses were formulated on the evolutionary dynamics of theregion. This study constitutes the largest variability report forthe chicken MHC and establishes a framework for futurediversity or association studies.
Keywords Major histocompatibility complex .MHC .
LEI0258 . Chicken .Gallus gallus . Evolution
Introduction
Chicken genetic resources comprise a wide range of breedsand populations including wild fowl species, fancy breeds,
O. Chazara :N. Bruneau :M.-H. Pinard-van der Laan :M. Tixier-Boichard : B. Bed’HomGénétique Animale et Biologie Intégrative, INRA, AgroParisTech,UMR 1313, Jouy-en-Josas, France
O. Chazara (*)Department of Pathology, University of Cambridge and Centrefor Trophoblast Research, Tennis Court Road,CB2 1QP Cambridge, UKe-mail: [email protected]
C.-S. ChangInstitute of Statistical Science, Academia Sinica, Taipei, Taiwan
K. BenabdeljelilInstitut Agronomique et Vétérinaire Hassan II, DPBA,Rabat Institute, Rabat, Morocco
J.-C. FotsaInstitut de Recherche Agricole pour le Développement,Bamenda, Cameroon
B. B. Kayang :R. Osei-AmponsahDepartment of Animal Science, University of Ghana,Legon, Ghana
N. E. Loukou :V. Yapi-GnaoreCentre Nationale de Recherche Agronomique,Université de Cocody, Abidjan, Ivory Coast
I. A. K. YoussaoEcole Polytechnique d’Abomey-Calavi,Université d’Abomey-Calavi, Cotonou, Benin
C.-F. ChenDepartment of Animal Science, National Chung-Hsing University,Taichung, Taiwan
Immunogenetics (2013) 65:447–459DOI 10.1007/s00251-013-0697-6
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local breeds, commercial stocks, and experimental lines.Recent studies on chicken diversity have used neutralmarkers such as microsatellites (Rosenberg et al. 2001;Berthouly et al. 2008) or single nucleotide polymorphisms(SNPs) (Twito et al. 2007; Gärke et al. 2012) and mitochon-drial sequences (Liu et al. 2006). Only a few populationgenetic studies, however, have been conducted on genes orfunctionally important regions (Downing et al. 2009). Themajor histocompatibility complex (MHC) is a genomic re-gion comprising genes coding for proteins involved in pep-tide presentation to T cells. The chicken MHC is divided intwo genetically independent regions, B and Y, both locatedon the microchromosome 16 of the chicken (Fillon et al.1996; Miller et al. 1996; Delany et al. 2009; Solinhac et al.2010). The B region has been associated with resistance,susceptibility, and differential response to vaccine (Bacon etal. 1981; Pinard-van der Laan et al. 1998; Lee et al. 2004).Historically, the B region has been defined using serology.Numerous serotypes have been defined mainly in closedpopulations of White Leghorn chickens, and approximately20 are well known (Rogers and Kaufman 2008).Consequently, serological reagents are rarely available forother types of chicken, and comparative studies are difficult.For these animals, only indications of the MHC genotypescan be provided (O'Neill et al. 2009). Therefore, compari-sons between studies are difficult, and would be facilitatedby the generalization of the use of the reference marker forthe chicken MHC, identified in 1999 by McConnell et al.and described by Fulton et al. in 2006: the tandem repeatLEI0258. Allele sizes can be defined by gel electrophoresisand sequencing for this marker, and they correlate well withserology in the commercial or experimental lines tested(Fulton et al. 2006).
The LEI0258 marker is an atypical variable number oftandem repeat (VNTR). It is highly polymorphic, with 26allele sizes reported previously (Fulton et al. 2006). It ischaracterized by the repetition of two tandem and conservedshort sequences of 12 and 13 bp plus several sequencepolymorphisms in the flanking regions (small insertionsand deletions (indels) and SNPs). It is the combination ofthe two repeats and the indels that determines the allele size.This VNTR is found in the central region of the B region,close to the gene BG1. This gene has been shown to beassociated with resistance to Marek's disease in the chicken(Goto et al. 2009). Preliminary evidence of a correlationbetween LEI0258 alleles and MHC-B SNPs or sequenceshas been observed in White Leghorn lines (Chazara et al.2008), White Leghorn, Rhode Island Red or Fayoumi ani-mals (Chazara et al. 2011), and Brazilian chickens (Lima-Rosa et al. 2005). Recently, the marker LEI0258 has beensuccessfully used in several diversity studies (Hoque et al.2011; Izadi et al. 2011; Chang et al. 2012) and inmany diseaseassociation studies (Owen et al. 2008; Petersen et al. 2008;
Schou et al. 2010; Bader et al. 2010; Banat et al. 2012; Suzukiet al. 2012).
This research reported herein has two aims. Firstly, toidentify the variability of alleles for the tandem repeatLEI0258 by examining an extensive and diverse collectionof 80 populations or lines of chicken from Africa, Asia, andEurope. Secondly, to compare the features of the allelescharacterized in order to infer the relationship betweensequences and therefore understand the dynamic evolutionof the marker.
Materials and methods
Genomic DNA origin
Animals were sampled from 80 different populations orlines of chickens (Gallus gallus). This included 51populations of various origins, and selection histories sam-pled in the frame of the European AvianDiv project(populations are numbered accordingly to the AvianDivdatabase, P04 to P34, P37 to P53, P101 and P102; http://aviandiv.tzv.fal.de, Hillel et al. 2003). Samples from otherpopulations include: 12 traditional French breeds (Berthoulyet al. 2008), nine populations of Asian chickens fromNational Chung-Hsing University (Taichung, Taiwan), fourimmune response lines and three lines fixed for different Bserotypes from INRA (Nouzilly, France; Minozzi et al.2008; Miller et al. 2004), a set of village chickens from fiveWest-African countries and from Morocco, and three wildGallus species kept in a zoological park (Clères, France).Many of these populations had previously been the subjectof diversity studies using neutral microsatellite markers(Table 1). DNA was made available from the AvianDivDNA bank kept at INRA, Jouy-en-Josas. Additionalextractions were performed for the African chickens atthe Department of Animal Science, University ofGhana, Legon, using the DNeasy Blood & Tissue Kit(QIAGEN), as well as for Asian and French breeds atINRA using the quick extraction procedure described inChang et al. (2006).
MHC serotypes were available for only the seven INRAexperimental lines reported as B12, B124 (Pinard 2002),B13, B15, B19, B21, B34, and for the AvianDiv B4 orB12 C lines (P32) and B15 sarcoma-resistant or susceptiblelines (P34).
Genotyping: PCR and electrophoresis
Typically, 10 to 50 animals were randomly chosen from thedifferent populations, except for the zoo animals which wereall included (Table 1). Amplifications were performed with theprimers LEI0258-F: CACGCAGCAGAACTTGGTAAGG
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Table 1 Description and diversity measurements for the different chicken populations
Code Name N Type Geo LEI0258 Other microsatellite markers
Nall HnbLEI HobsLEI Hobs ref 1 Hobs ref 2 Hobs ref 3 Hobs ref 4 Hobs ref 5
P101 G. gallus gallus 25 1 Asia 8 0.86 0.92 0.60 0.63 0.66
P102 G. gallus spadiceus 24 1 Asia 14 0.84 0.79 0.64 0.58
RJF G. gallus 6 1 Asia 4 0.76 1.00
GJF G. sonneratii 5 1 Asia 5 0.82 0.80
SLJF G. lafayetii 4 1 Asia 2 0.54 0.75
BEN Benin 26 2 Africa 18 0.94 0.96 0.55
CAM Cameroon 23 2 Africa 15 0.92 0.91 0.63
CI Ivory Coast 24 2 Africa 9 0.86 0.71 0.58
GHA Ghana 25 2 Africa 14 0.90 0.96 0.57
MOR Morocco 21 2 Africa 10 0.86 0.90 0.58
P05 Bedouin 23 2 Africa 13 0.89 0.96 0.58 0.59
P16 Icelandic Landrace 18 2 Europe 9 0.83 0.67 0.48 0.51
P17 Finnish Landrace 24 2 Europe 6 0.82 0.79 0.59
BAZ Barbezieux 18 3 Europe 9 0.86 0.94 0.53
BNA Bourbonnaise 18 3 Europe 6 0.65 0.67 0.49
COU Coucou de Rennes 24 3 Europe 10 0.87 0.67 0.58
CRC Crèvecoeur 24 3 Europe 6 0.61 0.63 0.53
GAS Gasconne 24 3 Europe 9 0.83 0.88 0.54
GLD Gauloise dorée 11 3 Europe 4 0.40 0.18 0.41
GOU Gournay 21 3 Europe 6 0.73 0.81 0.54
NCH Noire de Challans 18 3 Europe 7 0.82 0.67 0.45
P06 Westfaeliche Totleger 10 3 Europe 6 0.80 0.60 0.44 0.32
P07 Sundheimer 14 3 Europe 3 0.46 0.50 0.49 0.48
P08 Light Brown Leghorn 12 3 Europe 4 0.71 0.83 0.41
P09 Owl-bearded 24 3 Europe 8 0.84 0.54 0.54
P10 Friesian fowl 12 3 Europe 6 0.79 0.58 0.39
P12 Houdan 11 3 Europe 3 0.65 0.55 0.22 0.43
P13 Marans 11 3 Europe 5 0.75 0.82 0.42 0.50 0.49
P14 Dorking 17 3 Europe 5 0.49 0.53 0.50
P15 Cochin 20 3 Europe 5 0.63 0.65 0.54
P19 Jaerhoens 12 3 Europe 2 0.65 0.75 0.34 0.45
P20 Sicilienne Buttercup 18 3 Europe 4 0.65 0.67 0.50
P21 Padovana 12 3 Europe 3 0.54 0.58 0.17 0.36
P22 Black Castellana 12 3 Europe 5 0.70 0.75 0.44
P23 Red Villafranquina 18 3 Europe 4 0.57 0.72 0.48
P24 Czech Golden Pencilled 19 3 Europe 7 0.67 0.63 0.49
P25 Oravka hen 24 3 Europe 6 0.79 0.88 0.52
P26 Transsylvania N. Neck 24 3 Europe 5 0.60 0.67 0.53 0.44
P27 Green-legged Partridge 24 3 Europe 5 0.71 0.67 0.53 0.44
P28 Orlov 24 3 Europe 3 0.51 0.63 0.60 0.59
P29-1 Yurlov crower (Russia) 13 3 Europe 4 0.62 0.62 0.62
P29-2 Yurlov crower (Ukraine) 12 3 Europe 6 0.78 0.92 0.58
P30 Ukrainian bearded 23 3 Europe 9 0.83 1.00 0.57
P31 Poltava clay 18 3 Europe 4 0.75 0.83 0.51
SLK Silkie 25 3 Asia 4 0.72 0.48
T Hsin-Yi 47 3 Asia 4 0.61 0.51 0.53
J Ju-Chi 48 3 Asia 4 0.38 0.40 0.46
F Hua-Tung 47 3 Asia 7 0.84 0.85 0.58
KM Quemoy 47 3 Asia 4 0.61 0.64 0.49
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forward and LEI0258-R: AGCTGTGCTCAGTCCTCAGTGC reverse (McConnell et al. 1999) in 10 μL with20 ng of DNA, 1× of HotStarTaq Master Mix Kit(QIAGEN), and primer concentrations of 0.1 μM. ThePCR cycle setup was 94 °C for 15 min, then 35 cyclesof 94 °C for 45 s, 60 °C for 1 min 30 s, and 72 °C for
1 min with a final extension of 72 °C for 15 min. Thetotal volume of PCR product was then loaded on a 4 %agarose gel containing ethidium bromide. The gel wasexposed to UV light to reveal the amplified fragmentsand their size, by comparison with a 100 bp DNA ladder(New England BioLabs).
Table 1 (continued)
Code Name N Type Geo LEI0258 Other microsatellite markers
Nall HnbLEI HobsLEI Hobs ref 1 Hobs ref 2 Hobs ref 3 Hobs ref 4 Hobs ref 5
KT Shek-Ki 47 3 Asia 4 0.73 0.70 0.42
Ng Nagoya 48 3 Asia 3 0.53 0.58 0.44
P04 Fayoumi 12 3 Africa 5 0.71 0.75 0.35 0.44
P18 Old Scand. Ref. Pop. 18 4 9 0.85 0.89 0.45 0.46
BBL Bresse blanche 24 4 5 0.82 0.88 0.56
GLG Gauloise grise 18 4 6 0.71 0.83 0.48
GLN Gauloise noire 17 4 5 0.76 0.82 0.47
GLT Geline de Touraine 24 4 6 0.71 0.67 0.58
LIM Limousin 23 4 8 0.77 0.91
P11 Bresse noire 18 4 8 0.80 0.72 0.50
P33 Godollo Nhx 23 4 8 0.85 0.87 0.60 0.61
P34 Line Sarcoma R or S 12 4 1 0.00 0.00 0.37 0.34
P37 White egg layer A 12 4 1 0.00 0.00 0.33 0.35 0.30
P38 Brown egg layer A 18 4 3 0.30 0.22 0.46 0.44
P39 Broiler dam line A 18 4 3 0.45 0.50 0.57 0.58
P40 Broiler sire line A 23 4 6 0.80 0.78 0.55 0.53
P41 Broiler dam line B 18 4 5 0.50 0.50 0.49 0.48
P42 Broiler sire line B 18 4 6 0.82 0.83 0.47 0.51
P43 Brown egg layer B 18 4 4 0.75 0.89 0.45 0.36
P44 Brown egg layer C 12 4 2 0.23 0.25 0.44 0.43
P45 Brown egg layer D 18 4 3 0.40 0.39 0.47 0.49
P46 Brown egg layer E 12 4 5 0.78 0.75 0.39
P47 Broiler sire line C 12 4 6 0.76 0.83 0.44 0.51
P48 Broiler dam line C 11 4 2 0.25 0.27 0.42
P49 Broiler sire line D 12 4 6 0.79 0.83 0.44 0.48
P50 Broiler dam line D 22 4 10 0.86 0.68 0.62 0.61
P51 Ab line, high 20 4 3 0.70 0.60 0.51 0.49
P52 Ab line, low 20 4 3 0.54 0.65 0.46
P53 Ab line, control 17 4 4 0.55 0.59 0.51
L2 Taiwan Layer Native 50 4 6 0.45 0.42
B Taiwan Broiler Native 49 4 7 0.74 0.69
I.R.1 INRA I.R. line 1 49 4 4 0.70 0.71 0.37
I.R.2 INRA I.R. line 2 50 4 5 0.65 0.66 0.46
I.R.3 INRA I.R. line 3 49 4 4 0.60 0.60 0.39
I.R.4 INRA I.R. line 4 49 4 4 0.67 0.68 0.39
P32 C line 12 5 2 0.52 0.00 0.05 0.05
N number of animals
Type; population history, 1 wild species, 2 domesticated unselected, 3 standardized breed, 4 selected line, 5 inbred line (as defined for the AvianDivproject, Hillel et al. 2003)
Nall number of alleles for the LEI0258 marker, Hn.b.LEI unbiased expected heterozygosity for the LEI0258 marker (Nei 1978), HobsLEI observedheterozygosity for the LEI0258marker, Hobs average value of observed heterozygosity for microsatellite markers, obtained in previous studies; ref 1Hillel et al. 2003, ref 2 Granevitze et al. 2007, ref 3 Berthouly et al. 2008; Berthouly et al. 2009, ref 4 Leroy et al. 2012, ref 5 Loywyck et al. 2008
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Genotyping: sequencing
For each population, the different alleles identified by sizewere amplified again for sequencing from at least two in-dividuals. Four hundred thirty-eight animals were used;homozygous individuals were selected when possible, butheterozygous animals were used for the rare alleles. Theamplifications were performed in 50 μL with 40 ng of DNAusing the same primers, in the conditions described above.PCR products were sent directly to sequencing for thehomozygotes or after separation of the two alleles on 4 %agarose gels and purification using the QIAquick PCRPurification Kit from QIAGEN, for the heterozygotes.Sequencing was carried out by Eurofins MWG Operon,using their standard protocol for purified PCR products.
Sequence and data analysis
Sequences were analyzed with BioEdit (Hall 1999).Polymorphisms in the flanking sequences, (i.e., SNPs andindels) only and not the variation of the VNTR itself, wereused for this analysis. They were encoded as binary se-quences, and a median-joining network was constructedusing SplitsTree version 4.10 (Huson and Bryant 2006;Bandelt et al. 1999).
Population analysis
All animals were genotyped on gels, and the exact size ofthe nonsequenced alleles was extrapolated from the closestsequenced allele from the same population. For each popu-lation, the number of alleles and expected and observedheterozygosity values were calculated using GENETIX 4.4(Belkhir et al. 2000).
Results
Polymorphisms of the tandem repeat LEI0258
As described by Fulton et al. (2006), the two levels ofpolymorphism for the marker LEI0258 are the number ofrepetitions of the two motifs: R13 and R12 (R13:ATGTCTTCTTTCT, R12: TTCCTTCTTTCT) and the se-quence of the 62 bp upstream and 51 bp downstream re-gions. The polymorphisms previously reported were twodeletions and two SNPs upstream and two deletions andthree SNPs downstream. In comparison, we could onlyobserved one of the upstream deletions (the TT indel atposition −31–32 bp, i.e., 31 bp before the R13 repeats)and found two additional SNPs, one upstream at position−2 bp and one downstream at position +13 bp (i.e., 13 bpafter the R12 repeats). We redefined the largest deletion,
found in the downstream sequence, as a deletion involving8 bp instead of 7 bp: ATTTTGAG. This was discussed withthe authors of the 2006 publication (Fulton, personalcommunication), and this deletion will now be definedas position +21 to +28.
Global allelic variability
One of the aims of the study was to use the marker LEI0258in order to evaluate the variability of the MHC in diversepopulations of chickens. To achieve this, 534 alleles weresequenced, originating from 80 different populations ofchickens. In total, 79 different alleles are now identifiedand described by their number of repetitions, total size,combination of the indels, and the SNPs in the flankingregions (Table 2). Fifty are novel alleles, not reported byFulton et al. (2006). The number of alleles may be higher,since four additional allele sizes have been reported inChinese breeds (216, 324, 437, or 456 bp; Izadi et al.2011). However, in the absence of sequence information,they were excluded from this analysis.
Overall, 50 different allele sizes were observed, rangingfrom 181 to 552 bp. This is consistent with the size rangepreviously described (182 to 552 bp) with the 27 novelallele sizes found being mostly intermediate. The allele sizesprimarily reflect the combination of the repeats. The R13and R12 VNTR were found repeated 1 to 28 and 2 to 24times, respectively, but with only a limited number of com-binations (Fig. 1). The number of mathematically possiblecombinations is 644, but only 37 were observed, with themajority of alleles containing only one R13 motif (23 out of37 combinations). This is presented visually in Fig. 1.
Population analysis
The 80 populations, breeds or lines studied, were classifiedinto five types according to their selection history (Table 1):from the weakly selected (wild species and unselected do-mestic birds, standardized breeds) to the strongly selected(commercial lines and inbred lines). The observed hetero-zygosity for the LEI0258 marker was calculated for allpopulations (Table 1). The average observed heterozygositywas the highest for the unselected populations (Type 2,average HobsLEI=0.86 over eight populations) and for thewild species (Type 1, average HobsLEI=0.85 over five taxa),with a value of HobsLEI=1.00 for a Red Junglefowl (RJF)population. These two categories generally had many allelesfor the marker. The observed heterozygosity was more var-iable for standardized breeds (Type 3, 39 breeds) with anaverage HobsLEI of 0.67. The maximal value for all domesticchickens was obtained for the Ukrainian bearded breed, atraditional breed from Eastern Europe (HobsLEI=1.00). Theminimal value was observed for a traditional French breed,
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Tab
le2
Polym
orph
ismsandorigin
ofthe79
LEI025
8alleles
Allele
name
Size(bp)
Cluster
Upstream
R13
R12
Dow
nstream
NSerolog
yPop
ulation
Position
−31–32
−30
−13
−2
313
21–28
3136
43
Character
nb1
23
45
67
89
10
TT/Δ
G/A
G/A
Cn
nC/T
T/C
ATTTTGAG/Δ
Δ/A
A/T
T/A
181C
181
C1
2Δ
1Ng
182A
182
AA
12
ΔA
9B4
BEN,CI,GHA,KT,
P32
,WL*
193B
193
B1
3T
Δ35
B15.1,B11,B61
,B27
ANC*,
B,BBL,BEN,BNA,CAM,
CI,COU,F,
GHA,GJF,GLN,J,
L2,
MOR,P04
,P08
,P09,P10,
P102,
P11,P24,P29-2,P30,P31,
P33,P50
,T,
WL*
194A
194
AA
13
ΔA
10BW3
BAZ,GLD,LIM
,P09
,P22,P42,
P47,RJF*
205B
205
B1
4T
Δ16
B13
CI,GLT
,J,KM,P07
,P10,P17
,P18
,P40,P42
,p4
9,P50,WL*
205C
205
C1
4Δ
15B13.2,B17,BW11
BBL,BEN,BNA,CAM,COU,P05
,P101,
P102,
P17
,P24
,P27
,P28,
P29-2,RJF*,
WL*
217B
217
B1
5T
Δ2
P16
,P18
217C
217
C1
5Δ
23B,C
AM,G
AS,G
OU,P
05,P
13,P
15,
P16,P
23,P
25,P
27,P
40,P
46,p
49,
T
235G
235
GΔ
16
A2
CAM,CRC
237D
237
D1
6T
1F
237F
237
F1
6A
2BEN,GHA
239L
239
LΔ
17
Δ1
GJF
241C
241
C1
7Δ
18BAZ,COU,GAS,GLN,GOU,KT,
NCH,P
07,P
11,P
14,P
22,P
27,P
41
247G
247
GΔ
17
A1
B18
WL*
249D
249
D1
7T
32B15.2,B22,B73
B,BEN,BNA,CAM,CI,F,
FAY*,
GAS,GLG,J,KM,MOR,Ng,
NH*,
P05
,P07
,P17
,P23,P24,
P25,P29
-1,P38,P50
,P52
,P53,
WPR*
249E
249
E1
73
P05
,P52
249F
249
F1
7A
13BEN,NCH,P10
,P10
2,P23
,P26
,P27,P39
,P50
259G
259
GΔ
18
A3
P05
,P29
-2
259H
259
HΔ
18
CA
3BEN,CAM,GHA
261D
261
D1
8T
2GHA,GLG
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Tab
le2
(con
tinued)
Allele
name
Size(bp)
Cluster
Upstream
R13
R12
Dow
nstream
NSerolog
yPop
ulation
Position
−31–32
−30
−13
−2
313
21–28
3136
43
Character
nb1
23
45
67
89
10
TT/Δ
G/A
G/A
Cn
nC/T
T/C
ATTTTGAG/Δ
Δ/A
A/T
T/A
261F
261
F1
8A
50B15,B2,
B29
CAM,COU,GAS,GLD,GLN,
GOU,IR,L2,
LIM
,MOR,P09,
P10,P
11,P
12,P
16,P
17,P
18,P
19,
P21,P
22,P
23,P
28,P
30,P
34,P
37,
P47,p4
9,P50,WL*
271H
271
HΔ
19
CA
1CI
273F
273
F1
9A
13BEN,CAM,CRC,GLN,KT,
P10
1,P102,
P11,P12,P47,T
283I
283
IΔ
G1
10A
1P05
283J
283
JΔ
110
1P10
1
285F
285
F1
10A
4GAS,NCH,P10
2,P25
295G
295
GΔ
111
A2
CAM,P13
295H
295
HΔ
111
CA
1GHA
295I
295
IΔ
G1
11A
1GLT
295J
295
JΔ
111
22B5
BAZ,BEN,F,
MOR,P05
,P08
,P09
,P11,P13
,P18,P20,P29
-2,P31,
P33,P47
,p4
9,P50,WL*
295K
295
KΔ
A1
113
B11.1
ANC*,
COU,P101
297F
297
F1
11A
3P10
2
298F
298
F2
10A
2SLJF
307G
307
GΔ
112
A4
BBL,BNA,P15
,P23
307I
307
IΔ
G1
12A
8COU,GLG,GLT
,GOU,P15,P26
307J
307
JΔ
112
2P05
,P21
307K
307
KΔ
A1
1212
B72,B78
P04
,P20
,P25,P43,P45
,P51
,P53,
RIR*,
WPR*
309D
309
D1
12T
36B10,B24,B26
,B76
B,CAM,CRC,F,
GAS,J,KM,L2,
MOR,NCH,Ng,
NH*,
P08
,P16
,P17,P24
,P25
,P29
-1,P29
-2,P30
,P33,P38
,P44
,P45
,P46,P52,
RIR*,
T,WL*,
WPR*
309E
309
E1
121
CI
309F
309
F1
12A
2CI,P10
1
318E
318
E10
31
P10
319G
319
GΔ
113
A1
NCH
319H
319
HΔ
113
CA
3P06
,P10
,P26
319K
319
KΔ
A1
1310
F,GHA,P04
,P102,
SLK
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Tab
le2
(con
tinued)
Allele
name
Size(bp)
Cluster
Upstream
R13
R12
Dow
nstream
NSerolog
yPop
ulation
Position
−31–32
−30
−13
−2
313
21–28
3136
43
Character
nb1
23
45
67
89
10
TT/Δ
G/A
G/A
Cn
nC/T
T/C
ATTTTGAG/Δ
Δ/A
A/T
T/A
321D
321
D1
13T
1B74
WPR*
321F
321
F1
13A
1CAM
331K
331
KΔ
A1
141
P06
333D
333
D1
14T
6BEN,P10
1,P10
2
333F
333
F1
14A
8BW4
BEN,GJF,P05
,P11,RJF*
345D
345
D1
15T
8B14
GHA,KT,
P08
,P11,P18
,T,
WL*
345F
345
F1
15A
3P07
,P10
1
357D
357
D1
16T
49B130,
B131,
B201,
B5.1,
B6.1,
B21
,B75
B,BAZ,BBL,BEN,BNA,CAM,
COU,GAS,GLD,GLT
,L2,
MOR,
NH*,
P09
,P13
,P15
,P17,P18,
P22,P24
,P26
,P27
,P28,P29-2,
P31,P
38,P
46,P
47,P
48,P
51,P
53,
RIR*,
T,WC*,
WL*,
WPR*
357E
357
E1
163
BBL,BEN,GLG
357F
357
F1
16A
6B23
F,GOU,NH*,
P102,
P51
367G
367
GΔ
117
A1
BC
CRJF*
369D
369
D1
17T
3B21.1,BQ,BW1
NCH,RJF,RJF*,
SP*
369F
369
F1
17A
7BAZ,CAM,LIM
,P10
2,P50
381D
381
D1
18T
20B13.1
CI,GHA,J,KM,MOR,P04,P05
,P102,
P47,P48
,p4
9,P50,WL*
381F
381
F1
18A
8CRC,GJF,P09
,P21,P30
391K
391
KΔ
A1
191
BAZ
392K
392
KΔ
A2
181
P06
393D
393
D1
19T
4B1
BEN,CI,P27
,WL*
405D
405
D1
20T
4B8
ANC*,
GHA,L2,
P05
417D
417
D1
21T
4P05
,P10
1,P102
419E
419
E15
61
F
420E
420
E16
58
B34,B62
BAZ,GAS,IR,P18
,P25
,WL*
427K
427
KΔ
A1
221
GLT
429D
429
D1
22T
1GHA
441F
441
F1
23A
1GJF
443E
443
E15
88
B6
B,COU,GAS,MOR,P05,P30,T,
WL*
445E
445
E17
62
P20
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the Gauloise dorée (HobsLEI=0.18), consistent with overalllow heterozygosity for this breed (Berthouly et al. 2008,2009). The observed heterozygosity in selected lines (Type4, 32 lines) was generally lower with an average of 0.62; thelowest values were obtained for an experimental line (P34),which, as the inbred line (Type 5, P32) has been fixed forthe MHC-B region (HobsLEI=0, as expected) and four com-mercial lines potentially under selection for certain sero-types (P37, P38, P44, P48, HobsLEI=0 to HobsLEI=0.27).Since many of these populations had been previously ex-amined for heterozygosity at neutral microsatellite sites, thelevel of heterozygosity could be compared between neutralloci and the LEI0258 locus, which is presumably underselection due to its location within the MHC. However, themarker LEI0258 is a VNTR, its evolution might differcompared to the nearby sequences, which could lead to anoverestimation of the variability of the region.
Network analysis and allele relationships
In VNTR, tandem expansion and contraction are consideredto be very frequent compared to point mutations. Therefore,we only use the latter (SNPs and indels) for the networkconstruction. Indeed, for the marker LEI0258, the differenceof length between alleles is a poor estimate of allele diver-gence, as two alleles different in sequence can have identicallengths. Nevertheless, allele sizes and number of repeats arereported on the network (Fig. 2).
The network constructed from the 79 alleles discriminated12 clusters identified as A to L, each containing one to 15alleles (Fig. 2). The unique allele in cluster L was found in aGrey Junglefowl (GJF, Gallus sonneratii). The network wasbuilt independently of the number of repeat and allele sizeinformation, utilizing only SNP and indel information.T
able
2(con
tinued)
Allele
name
Size(bp)
Cluster
Upstream
R13
R12
Dow
nstream
NSerolog
yPop
ulation
Position
−31–32
−30
−13
−2
313
21–28
3136
43
Character
nb1
23
45
67
89
10
TT/Δ
G/A
G/A
Cn
nC/T
T/C
ATTTTGAG/Δ
Δ/A
A/T
T/A
453D
453
D1
24T
1P10
2
474E
474
E22
32
B12.2
BEN,WL*
484E
484
E20
64
BAZ,GLN,P11,SLK
487E
487
E23
39
B12,B124
B,IR,P18,P32,WL*
513E
513
E25
31
B12.3
WL*
526E
526
E26
32
P19
539E
539
E27
36
B19
L2,
IR,P16
,P20,P50,WL*
552E
552
E28
34
B19.1
IR,P18
,P30,WL*
Nnu
mberof
anim
als
Pop
ulationnames
areaccordingto
Table1except
whenastar
indicatesasequ
ence
andabreeddescribedin
Fultonet
al.20
06
2-10
10-3
2-18
15-616-5
15-8
17-6
22-3
20-6
23-3
25-326-327-328-3
1
1 10 20
Number of R12 repeats
1-2 1-24
Num
ber
of R
13 r
epea
ts
10
20
Fig. 1 The 37 combinations of repeat numbers observed in the 79alleles at the LEI0258 locus
Immunogenetics (2013) 65:447–459 455
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However, a pattern emerged from the clusters: the shortalleles (R13=1, R12=2 to 7; allele size ≤241 bp) weregrouped on one side in the A, B, C clusters, and most ofthe long alleles, (R13=15 to 28; allele size ≥419 bp), weregrouped into a large cluster, cluster E (Figs. 2 and 3). Inaddition, geographical information (described in Table 1),was used to create a pie chart for each allele cluster. Onlybreeds classified as types 1, 2, or 3 had relevant geographicalinformation and thus could be included within these piecharts. Each pie presents the percentages of each geographicalorigin for the breeds included in the cluster. Interestingly, noAsian breeds are found in clusters G, H, I.
Discussion
Population analysis
For 74 out of 80 populations of chicken, the measuredheterozygosity for the MHC region was compared with theheterozygosity at neutral microsatellite markers published inseveral studies (Berthouly et al. 2008, 2009; Granevitze etal. 2007; Hillel et al. 2003; Leroy et al. 2012; Loywyck et al.2008). Firstly, for the wild species and the unselectedpopulations, the observed heterozygosity was always higherwith the LEI0258 marker compared to the neutral markers.
E
F
G
H
I
J
L K
A
B
C
D
10
10
4
2
1
1
7
7
5
3, 8
6
Fig. 2 Median-joining network of the 79 alleles defined for the VNTRLEI0258. The network is based only on SNP and indels within theflanking regions. Clusters are identified as A to L. Alleles highlightedin gray are found in wild birds. Each pie represents the percentages of
each geographical origin for the type 1, 2, or 3 breeds. The characterchanges are indicated on each branch and correspond to the characternumber reported in Table 2
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This result indicates high genetic diversity of MHC regionand suggests balancing selection which maintains polymor-phisms and increases within-population diversity (Nielsen2005). It was also observed for 33 out of the 39 traditionalbreeds. Secondly, in commercial white-egg layers, the het-erozygosity was low overall, indicating a loss of geneticdiversity. This could simply be due to commercial selectionas reported by Muir et al. (2008), or because all commercialwhite egg layers are derived from a single breed, the WhiteLeghorn breed. Finally, three lines of commercial brown-egg layers out of five showed heterozygosities lower for theLEI0258 compared to the neutral markers. This also clearlyindicates selection targeted at the MHC, since any conse-quences of population size, bottleneck, or founder effectwould have affected all the markers.
In summary, the MHC region which is associated withdisease resistance in chicken is characterized by naturallybalanced selection. Therefore, the short-term benefits ofselecting for this region in commercial chickens should beweighed carefully. However, even if the nucleus populationsof the different selection schemes have lost genetic variabil-ity for the MHC, the terminal crosses can still combineseveral MHC haplotypes if the different grand-parental linesused in the cross are selected on different criterions.
LEI0258 and serology
Limited serological information was available for the animalsused and will very likely remain unavailable due to the lack ofreagents and complexity of comparison between breeds.
Serology was only available for eight B types: B4, B12from two origins, B124, B13, B15 from two origins, B19,B21, and B34. All originated from White Leghorns. For B4,B12, B13, B15, B19, and B21, a corresponding LEI0258allele had already been reported by Fulton et al. (2006), andour findings matched their observations. B124 has been de-fined in the INRA I.R. lines as serologically identical to theB124 described in ISA Warren experimental lines (high and
low antibody response to sheep red blood cells) and wasshown to be distinct from B12 on the basis of protein analysis(Pinard and Hepkema 1993). The LEI0258 allele for B124,however, is similar to B12 (487E, Table 2). B34 has beendescribed in the same INRA lines and is associated with thesame LEI0258 allele than B62 (420E, Table 2), which is foundin a commercial line of White Leghorns (Fulton et al. 2006).
In addition, out of the eight most common LEI0258alleles highlighted by Fig. 3, one has no correspondingserology. This is the 217C allele, which is found in clusterC. Similarly, serological information is absent for all thealleles of the H and I clusters. Therefore, as expected,serological studies are restricted to the subset of MHChaplotypes found in experimental lines which is a biasedrepresentation of the diversity of chicken breeds.
LEI0258 evolution
The evolution of the number of repeats of the LEI0258marker is probably based on a step-wise model, one stepbeing the duplication or the loss of a repeat. Indeed an allele(552E), absent in the founder animals, has been observed inthe I.R. lines at generation 11. This observation can beexplained by the duplication of a R13 repeat in a 539Eallele, common in these lines. As noted above, however,the combinations of the R13 and R12 motifs follow a patternwith always one motif having a low and one motif having ahigh number of repeats. A hypothesis explaining the limitednumber of possibilities observed could be a limitation of thetotal allele size. This is supported by the compact organiza-tion of the MHC in the chicken, characterized by smallintergenic sequences (Kaufman et al. 1999).
In comparison, the flanking regions are highly polymor-phic. Point mutations such as SNPs and indels can be usedto categorize alleles because they are likely to be underslower rates of evolution compared to repeats. Indeed, anumber of LEI0258 alleles have the same size and combina-tion of repeats but different flanking sequences illustrating
193B (6%)
217C (4%)
249D (6%)
309D (6%)
357D (9%)
381D (4%)
261F (9%)
295J (4%)
A
B
C
D
E
F
G
H
I
J
K
L
150 200 250 290 350 400 450 500 550 600
Clu
ster
Allele size (bp)
Fig. 3 Frequencies of the 79LEI0258 alleles. The area ofeach bubble represents thenumber of observations foreach allele. The name of theallele and its frequency areindicated for the eight mostfrequent alleles
Immunogenetics (2013) 65:447–459 457
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that the issue of homoplasy (when two identical states are notidentical by descent) is more relevant for repeats than forpoint mutations. In the network analysis, however, it appearsthat some mutations happened twice or that recombinationoccurred to explain the observed alleles. Therefore, the net-work is only a representation of the relationships betweenalleles, not a phylogeny.
Different combinations of the R13 and R12 motifs areassociated with different parts of the network. By utilizingonly the 8 bp and the 2 bp information, the network can bedivided into three parts: three clusters without deletion (D, E,F), five clusters with the 2 bp deletion (G, H, I, J, K), and fourclusters with the 8 bp deletion (A, B, C, L). Subsequently, thealleles found in wild species of Junglefowls, namely GreyJunglefowl (GJF), Red Junglefowl (RJF), and Sri-LankaJunglefowl (SLJF) can be found in eight of the 12 clustersdefined by the point mutations (A, B, C, D, F, J, K, L), and inall the three clusters defined above (Fig. 2). It has beensuggested that for chickens, several domestication events tookplace in Asia, mainly from the Red Junglefowl (Liu et al.2006) but with contribution from the Grey Junglefowl(Eriksson et al. 2008). In the case of the MHC, our observa-tions indicate that most of the diversity in domestic chickensoriginated in the ancestral species and has been maintained.There is, however, one major cluster containing only allelesfrom domesticated chickens, cluster E, and three clustersrestricted to chicken from Europe and Africa (clusters G, H,I). This can probably be attributed to genetic drift and thesmall sample sizes used for the wild species.
Conclusions
The marker LEI0258 was used to describe the MHC-Bregion variability in various chicken populations includingwild species of fowls. Traditional breeds and commerciallines were compared with experimental chickens defined byserology. A comprehensive reference set of alleles is nowavailable to identify and classify MHC genotypes andshould be used to further study local populations. In thesepopulations, novel LEI0258 alleles should be sequenced anddefined by both the combination of repeats and the poly-morphisms in the flanking sequences. Therefore, this studyprovides a general framework to study variability within theMHC and disease resistance or susceptibility in chickens.
Acknowledgments The authors thank Anne-Marie Chaussé (INRA,Nouzilly, France), Xavier Rognon (INRA, Jouy en Josas, France),Yannick Roman (Zoo de Clères, Clères, France), and Cheng Yu-Shin(Livestock Research Institute, Sinhua, Taiwan) for their help collectingDNA samples. They also thank Janet Fulton (Hy-Line International,Dallas Center, USA) for the helpful comments and discussion. Thiswork was supported by a studentship awarded by the French ministryof Higher Education and Research.
References
Bacon LD, Witter RL, Crittenden LB, Fadly A, Motta J (1981) BHaplotype influence on Marek's disease, Rous sarcoma, andlymphoid leucosis virus-induced tumors in chickens. Poult Sci60:1132–1139
Bader SR, Kothlow S, Trapp S, Schwarz SC, Philipp HC, Weigend S,Sharifi AR, Preisinger R, Schmahl W, Kaspers B, Matiasek K(2010) Acute paretic syndrome in juvenile White Leghornchickens resembles late stages of acute inflammatory demyelin-ating polyneuropathies in humans. J Neuroinflammation 28:7–7
Banat GR, Tkalcic S, Dzielawa JA, Jackwood MW, Saggese MD, YatesL, Kopulos R, Briles WE, Collisson EW (2012) Association of thechicken MHC B haplotypes with resistance to avian coronavirus.Dev Comp Immunol (Epub ahead of print)
Bandelt H-J, Forster P, Röhl A (1999) Median-joining networks forinferring intraspecific phylogenies. Mol Biol Evol 16:37–48
Belkhir K, Borsa P, Goudet J, Chikhi L, Raufasate N, Bonhomme F(2000) GENETIX, logiciel sous Windows TM pour la génétiquedes populations In Laboratoire Génome, Populations, Interactions:CNRS UMR5117 Université Montpellier II. CNRS UMR5117Université Montpellier II, Montpellier
Berthouly C, Bed’Hom B, Tixier-Boichard M, Chen CF, Lee YP, LaloëD, Legros H, Verrier E, Rognon X (2008) Using molecularmarkers and multivariate methods to study the genetic diversityon local European and Asian chickens breeds. Anim Genet39:121–129
Berthouly C, Leroy G, Van TN, Thanh HH, Bed’Hom B, Nguyen BT,Vu CC, Monicat F, Tixier-Boichard M, Verrier E, Maillard JC,Rognon X (2009) Genetic analysis of local Vietnamese chickensprovides evidence of gene flow from wild to domestic populations.BMC Genet 10:1
Chang CM, Coville JL, Coquerelle G, Gourichon D, Oulmouden A,Tixier-Boichard M (2006) Complete association between a retro-viral insertion in the tyrosinase gene and the recessive whitemutation in chickens. BMC Genomics 7:19
Chang CS, Chen CF, Berthouly-Salazar C, Chazara O, Lee YP, ChangCM, Chang KH, Bed’hom B, Tixier-Boichard M (2012) A globalanalysis of molecular markers and phenotypic traits in localchicken breeds in Taiwan. Anim Genet 43:172–182
Chazara O, Pinard-van Der Laan MH, Tixier-Boichard M, Bed’hom B(2008) Molecular genotype investigation of the Gallus gallusmajor histocompatibility complex. Dev Biol (Basel) 132:271–278
Chazara O, Juul-Madsen HR, Chang CS, Tixier-Boichard M, Bed’homB (2011) Correlation in chicken between the marker LEI0258alleles and Major Histocompatibility Complex sequences. BMCProc Suppl4:S29 doi:10.1186/1753-6561-5-S4-S29
Delany ME, Robinson CM, Goto RM, Miller MM (2009) Architectureand organization of chicken microchromosome 16: order of theNOR, MHC-Y, and MHC-B subregions. J Hered 100:507–514
Downing T, Lynn DJ, Connell S, Lloyd AT, Bhuiyan AK, Silva P,Naqvi AN, Sanfo R, Sow RS, Podisi B, O’Farrelly C, Hanotte O,Bradley DG (2009) Contrasting evolution of diversity at twodisease-associated chicken genes. Immunogenetics 61:303–314
Eriksson J, Larson G, Gunnarsson U, Bed’hom B, Tixier-Boichard M,Strömstedt L, Wright D, Jungerius A, Vereijken A, Randi E,Jensen P, Andersson L (2008) Identification of the yellow skingene reveals a hybrid origin of the domestic chicken. PLoS Genet4:e1000010
Fillon V, Zoorob R, Yerle M, Auffray C, Vignal A (1996) Mapping of thegenetically independent chicken major histocompatibility com-plexes B@ and RFP-Y@ to the same microchromosome by two-color fluorescent in situ hybridization. Cytogenet Cell Genet 75:7–9
Fulton JE, Juul-Madsen HR, Ashwell CM, McCarron AM, Arthur JA,O’Sullivan NP, Taylor RL Jr (2006) Molecular genotype
458 Immunogenetics (2013) 65:447–459
Author's personal copy
identification of the Gallus gallus major histocompatibility com-plex. Immunogenetics 58:407–421
Gärke C, Ytournel F, Bed’hom B, Gut I, Lathrop M, Weigend S,Simianer H (2012) Comparison of SNPs and microsatellites forassessing the genetic structure of chicken populations. AnimGenet 43:419–428
Goto RM, Wang Y, Taylor RL Jr, Wakenell PS, Hosomichi K, Shiina T,Blackmore CS, Briles WE, Miller MM (2009) BG1 has a majorrole in MHC-linked resistance to malignant lymphoma in thechicken. Proc Natl Acad Sci U S A 106:16740–16745
Granevitze Z, Hillel J, Chen GH, Cuc NTK, Feldam M, Eding H,Weigend S (2007) Genetic diversity within chicken populationsfrom different continents and management histories. Anim Genet38:576–583
Hall TA (1999) BioEdit: a user-friendly biological sequence alignmenteditor and analysis program for Windows 95/98/NT. NucleicAcids Symp Ser 41:95–98
Hillel J, Groenen MA, Tixier-Boichard M, Korol AB, David L,Kirzhner VM, Burke T, Barre-Dirie A, Crooijmans RP, Elo K,Feldman MW, Freidlin PJ, Mäki-Tanila A, Oortwijn M, ThomsonP, Vignal A, Wimmers K, Weigend S (2003) Biodiversity of 52chicken populations assessed by microsatellite typing of DNApools. Genet Sel Evol 35:533–557
Hoque MR, Lee SH, Jung KC, Kang BS, Park MN, Lim HK, Choi KD,Lee JH (2011) Discrimination of Korean native chicken populationsusings SNPs from mtDNA andMHC polymorphisms. Asian-Aust JAnim Sci 24:1637–1643
Huson DH, Bryant D (2006) Application of phylogenetics networks inevolutionary studies. Mol Biol Evol 23:254–267
Izadi F, Ritland C, Cheng KM (2011) Genetic diversity of themajor histocompatibility complex region in commercial andnoncommercial chicken flocks using the LEI0258 microsatellitemarker. Poult Sci 90:2711–2717
Kaufman J, Milne S, Göbel TW, Walker BA, Jacob JP, Auffray C,Zoorob R, Beck S (1999) The chicken B locus is a minimalessential major histocompatibility complex. Nature 28:923–925
Lee LF, Bacon LD, Yoshida S, Yanagida N, Zhang HM, Witter RL(2004) The efficacy of recombinant fowlpox vaccine protectionagainst Marek’s disease: its dependence on chicken line and Bhaplotype. Avian Dis 48:129–137
Leroy G, Kayang BB, Youssao IAK, Yapi-Gnaoré CV, Osei-AmponsahR, Loukou NE, Fotsa JC, Benabdeljelil K, Bed’hom B, Tixier-BoichardM, Rognon X (2012) Gene diversity, agroecological struc-ture and introgression patterns among village chicken populationsacross North. West and Central Africa. BMC Genet 13:34
Lima-Rosa CA, Canal CW, Fallavena PRV, Freitas LB, Salzano FM(2005) LEI0258 microsatellite variability and its relationship toB-F haplotypes in Brazilian (blue-egg Caipira) chickens. GenetMol Biol 28:386–389
Liu YP, Wu GS, Yao YG, Miao YW, Luikart G, Baig M, Beja-PereiraA, Ding ZL, Palanichamy MG, Zhang YP (2006) Multiplematernal origins of chickens: out of the Asian jungles. MolPhylogenet Evol 38:12–19
Loywyck V, Bed’Hom B, Pinard-van der Laan M-H, Pitel F, Verrier E,Bijma P (2008) Evolution of polymorphisms at molecularmarkers in QTL and non-QTL regions in selected lines ofchicken. Genet Sel Evol 40:639–661
McConnell SK, Dawson DA, Wardle A, Burke T (1999) The isolationand mapping of 19 tetranucleotide microsatellite markers in thechicken. Anim Genet 30:183–189
Miller MM, Goto RM, Taylor RL Jr, Zoorob R, Auffray C, Briles RW,Briles WE, Bloom SE (1996) Assignment of Rfp-Y to the chickenmajor histocompatibility complex/NOR microchromosome andevidence for high-frequency recombination associated with thenucleolar organizer region. ProcNatl Acad Sci U SA 93:3958–3962
Miller MM, Bacon LD, Hala K, Hunt HD, Ewald SJ, Kaufman J,Zoorob R, Briles WE (2004) 2004 Nomenclature for the chickenmajor histocompatibility (B and Y) complex. Immunogenetics56:261–279
Minozzi G, Parmentier HK, Mignon-Grasteau S, Nieuwland MG,Bed’hom B, Gourichon D, Minvielle F, der Laan MH P-v(2008) Correlated effects of selection for immunity in WhiteLeghorn chicken lines on natural antibodies and specific antibodyresponses to KLH and M. butyricum. BMC Genet 9:5
Muir WM, Wong GK, Zhang Y, Wang J, Groenen MA, Crooijmans RP,Megens HJ, Zhang H, Okimoto R, Vereijken A, Jungerius A,Albers GA, Lawley CT, Delany ME, MacEachern S, Cheng HH(2008) Genome-wide assessment of worldwide chicken SNP ge-netic diversity indicates significant absence of rare alleles incommercial breeds. Proc Natl Acad Sci U S A 105:17312–17317
Nei M (1978) Estimation of average heterozygosity and genetic dis-tance from a small number of individuals. Genetics 89:583–590
Nielsen R (2005) Molecular signatures of natural selection. Annu RevGenet 39:197–218
O’Neill AM, Livant EJ, Ewald SJ (2009) The chicken BF1 (classicalMHC class I) gene shows evidence of selection for diversityin expression and in promoter and signal peptide regions.Immunogenetics 61:289–302
Owen JP, Delany ME, Mullens BA (2008) MHC haplotype involve-ment in avian resistance to an ectoparasite. Immunogenetics60:621–631
Petersen A, Chadfield MS, Christensen JP, Christensen H, Bisgaard M(2008) Characterization of small-colony variants of Enterococcusfaecalis isolated from chickens with amyloid arthropathy. J ClinMicrobiol 46:2686–2691
Pinard MH, Hepkema BG (1993) Biochemical and serological identi-fication of major histocompatibility complex antigens in outbredchickens. Vet Immunol Immunopathol 39:407–419
Pinard-van der Laan MH (2002) Immune modulation: the geneticapproach. Vet Immunol Immunopathol 87:199–205
Pinard-van der Laan M-H, Siegel PB, Lamont SJ (1998) Lessons fromselection experiments on immune response in the chicken. AvianPoult Biol Rev 9:125–141
Rogers SL, Kaufman J (2008) High allelic polymorphism, moderatesequence diversity and diversifying selection for B-NK but not B-lec, the pair of lectin-like receptor genes in the chicken MHC.Immunogenetics 60:461–475
Rosenberg NA, Burke T, Elo K, Feldman MW, Freidlin PJ, GroenenMA, Hillel J, Mäki-Tanila A, Tixier-Boichard M, Vignal A,Wimmers K, Weigend S (2001) Empirical evaluation of geneticclustering methods using multilocus genotypes from 20 chickenbreeds. Genetics 159:699–713
Schou TW, Labouriau R, Permin A, Christensen JP, Sørensen P, Cu HP,Nguyen VK, Juul-Madsen HR (2010) MHC haplotype and sus-ceptibility to experimental infections (Salmonella enteritidis,Pasteurella multocida or Ascaridia galli) in a commercial andan indigenous chicken breed. Vet Immunol Immunopathol135:52–63
Solinhac R, Leroux S, Galkina S, Chazara O, Feve K, Vignoles F,Morisson M, Derjusheva S, Bed’hom B, Vignal A, Fillon V, Pitel F(2010) Integrative mapping analysis of chicken microchromosome16 organization. BMC Genomics 11:616
Suzuki K, Kobayashi E, Yamashita H, Uenishi H, Churkina I, PlastowG, Hamasima N, Mitsuhashi T (2012) Structural analysis of MHCalleles in an RSV tumour regression chicken using a BAC library.Anim Genet 43:348–351
Twito T, Weigend S, Blum S, Granevitze Z, Feldman MW, Perl-TrevesR, Lavi U, Hillel J (2007) Biodiversity of 20 chicken breedsassessed by SNPs located in gene regions. Cytogenet GenomeRes 117:319–326
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