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Meneghini M, Tambur AR. HLA-DQ antibodies in alloimmunity, what makes them different? Curr Opin Organ Transplant 2023; 28:333-339. [PMID: 37219535 PMCID: PMC10487393 DOI: 10.1097/mot.0000000000001079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
PURPOSE OF REVIEW De novo HLA-DQ antibodies are the most frequently observed after solid-organ allotransplantation; and are associated with the worse adverse graft outcomes compared with all other HLA antibodies. However, the biological explanation for this observation is not yet known. Herein, we examine unique characteristics of alloimmunity directed specifically against HLA-DQ molecules. RECENT FINDINGS While investigators attempted to decipher functional properties of HLA class II antigens that may explain their immunogenicity and pathogenicity, most early studies focused on the more expressed molecule - HLA-DR. We here summarize up-to-date literature documenting specific features of HLA-DQ, as compared to other class II HLA antigens. Structural and cell-surface expression differences have been noted on various cell types. Some evidence suggests variations in antigen-presenting function and intracellular activation pathways after antigen/antibody interaction. SUMMARY The clinical effects of donor-recipient incompatibility at HLA-DQ, the risk of generating de novo antibodies leading to rejection, and the inferior graft outcomes indicate increased immunogenicity and pathogenicity that is unique to this HLA antigen. Clearly, knowledge generated for HLA-DR cannot be applied interchangeably. Deeper understanding of features unique to HLA-DQ may support the generation of targeted preventive-therapeutic strategies and ultimately improve solid-organ transplant outcomes.
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Affiliation(s)
- Maria Meneghini
- Transplant Immunology Laboratory, Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Nephrology and Kidney Transplantation Department, Vall d’Hebron University Hospital, Vall d’Hebron Research Institute (VHIR), Barcelona, Spain
| | - Anat R. Tambur
- Transplant Immunology Laboratory, Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
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2
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Griffin MD, Malone AF. Endothelial Expression of Class II MHC Proteins: A New Layer of Complexity in Kidney Transplantation. J Am Soc Nephrol 2023; 34:727-729. [PMID: 36958047 PMCID: PMC10125630 DOI: 10.1681/asn.0000000000000115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/25/2023] Open
Affiliation(s)
- Matthew D. Griffin
- Regenerative Medicine Institute (REMEDI) at CÚRAM Centre for Research in Medical Devices, School of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Galway, Ireland
| | - Andrew F. Malone
- Division of Nephrology, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri
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3
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Human leukocyte antigen class II quantification by targeted mass spectrometry in dendritic-like cell lines and monocyte-derived dendritic cells. Sci Rep 2021; 11:1028. [PMID: 33441579 PMCID: PMC7807004 DOI: 10.1038/s41598-020-77024-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Accepted: 10/26/2020] [Indexed: 11/08/2022] Open
Abstract
The major histocompatibility complex II (HLA-II) facilitates the presentation of antigen-derived peptides to CD4+ T-cells. Antigen presentation is not only affected by peptide processing and intracellular trafficking, but also by mechanisms that govern HLA-II abundance such as gene expression, biosynthesis and degradation. Herein we describe a mass spectrometry (MS) based HLA-II-protein quantification method, applied to dendritic-like cells (KG-1 and MUTZ-3) and human monocyte-derived dendritic cells (DCs). This method monitors the proteotypic peptides VEHWGLDKPLLK, VEHWGLDQPLLK and VEHWGLDEPLLK, mapping to the α-chains HLA-DQA1, -DPA1 and -DRA1/DQA2, respectively. Total HLA-II was detected at 176 and 248 fmol per million unstimulated KG-1 and MUTZ-3 cells, respectively. In contrast, TNF- and LPS-induced MUTZ-3 cells showed a 50- and 200-fold increase, respectively, of total α-chain as measured by MS. HLA-II protein levels in unstimulated DCs varied significantly between donors ranging from ~ 4 to ~ 50 pmol per million DCs. Cell surface HLA-DR levels detected by flow cytometry increased 2- to 3-fold after DC activation with lipopolysaccharide (LPS), in contrast to a decrease or no change in total HLA α-chain as determined by MS. HLA-DRA1 was detected as the predominant variant, representing > 90% of total α-chain, followed by DPA1 and DQA1 at 3-7% and ≤ 1%, respectively.
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4
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Carey BS, Poulton KV, Poles A. Factors affecting HLA expression: A review. Int J Immunogenet 2019; 46:307-320. [PMID: 31183978 DOI: 10.1111/iji.12443] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 04/26/2019] [Accepted: 05/03/2019] [Indexed: 12/22/2022]
Abstract
The detection and semiquantitative measurement of circulating human leucocyte antigen (HLA)-specific antibodies is essential for the management of patients before and after transplantation. In addition, the pretransplant cross-match to assess the reactivity of recipient HLA antibody against donor lymphocytes has long been the gold standard to prevent hyperacute rejection. Whilst both of these tests assume that recipient HLA-specific antibody is the only variable in the assessment of transplant risk, this is not the case. Transplant immunologists recognize that some HLA antigens are expressed at levels a magnitude lower than others (e.g., HLA-C, HLA-DQ), but within loci, and between different cell types there are many factors that influence HLA expression in both resting and activated cells. HLA is not usually expressed without the specific promoter proteins NLRC5, for HLA class I, and CIITA, for class II. The quantity of HLA protein production is then affected by factors including promoter region polymorphisms, alternative exon splice sites, methylation and microRNA-directed degradation. Different loci are influenced by multiple combinations of these control mechanisms making prediction of HLA regulation difficult, but an ability to measure the cellular expression of each HLA antigen, in conjunction with knowledge of circulating HLA-specific antibody, would lead to a more informed algorithm to assess transplant risk.
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Affiliation(s)
- B Sean Carey
- Histocompatibility and Immunogenetics, Combined Laboratory, University Hospitals Plymouth, Plymouth, UK
| | | | - Anthony Poles
- Histocompatibility and Immunogenetics, Combined Laboratory, University Hospitals Plymouth, Plymouth, UK
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5
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Zhao C, Xie S, Wu H, Luan Y, Hu S, Ni J, Lin R, Zhao S, Zhang D, Li X. Quantification of allelic differential expression using a simple Fluorescence primer PCR-RFLP-based method. Sci Rep 2019; 9:6334. [PMID: 31004110 PMCID: PMC6474871 DOI: 10.1038/s41598-019-42815-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Accepted: 03/29/2019] [Indexed: 12/04/2022] Open
Abstract
Allelic differential expression (ADE) is common in diploid organisms, and is often the key reason for specific phenotype variations. Thus, ADE detection is important for identification of major genes and causal mutations. To date, sensitive and simple methods to detect ADE are still lacking. In this study, we have developed an accurate, simple, and sensitive method, named fluorescence primer PCR-RFLP quantitative method (fPCR-RFLP), for ADE analysis. This method involves two rounds of PCR amplification using a pair of primers, one of which is double-labeled with an overhang 6-FAM. The two alleles are then separated by RFLP and quantified by fluorescence density. fPCR-RFLP could precisely distinguish ADE cross a range of 1- to 32-fold differences. Using this method, we verified PLAG1 and KIT, two candidate genes related to growth rate and immune response traits of pigs, to be ADE both at different developmental stages and in different tissues. Our data demonstrates that fPCR-RFLP is an accurate and sensitive method for detecting ADE on both DNA and RNA level. Therefore, this powerful tool provides a way to analyze mutations that cause ADE.
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Affiliation(s)
- Changzhi Zhao
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China
| | - Shengsong Xie
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China.,The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural University, Wuhan, 430070, P.R. China
| | - Hui Wu
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China
| | - Yu Luan
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China
| | - Suqin Hu
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China
| | - Juan Ni
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China
| | - Ruiyi Lin
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China
| | - Shuhong Zhao
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China.,The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural University, Wuhan, 430070, P.R. China
| | - Dingxiao Zhang
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China. .,The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural University, Wuhan, 430070, P.R. China.
| | - Xinyun Li
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China. .,The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural University, Wuhan, 430070, P.R. China.
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6
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Petersdorf EW, O'hUigin C. The MHC in the era of next-generation sequencing: Implications for bridging structure with function. Hum Immunol 2019; 80:67-78. [PMID: 30321633 PMCID: PMC6542361 DOI: 10.1016/j.humimm.2018.10.002] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 09/24/2018] [Accepted: 10/01/2018] [Indexed: 12/19/2022]
Abstract
The MHC continues to have the most disease-associations compared to other regions of the human genome, even in the genome-wide association study (GWAS) and single nucleotide polymorphism (SNP) era. Analysis of non-coding variation and their impact on the level of expression of HLA allotypes has shed new light on the potential mechanisms underlying HLA disease associations and alloreactivity in transplantation. Next-generation sequencing (NGS) technology has the capability of delineating the phase of variants in the HLA antigen-recognition site (ARS) with non-coding regulatory polymorphisms. These relationships are critical for understanding the qualitative and quantitative implications of HLA gene diversity. This article summarizes current understanding of non-coding region variation of HLA loci, the consequences of regulatory variation on HLA expression, the role for evolution in shaping lineage-specific expression, and the impact of HLA expression on disease susceptibility and transplantation outcomes. A role for phased sequencing methods for the MHC, and perspectives for future directions in basic and applied immunogenetic studies of the MHC are presented.
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Affiliation(s)
- Effie W Petersdorf
- University of Washington, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, D4-115, Seattle, WA 98109, United States.
| | - Colm O'hUigin
- Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Microbiome and Genetics Core, Building 37, Room 4140B, Bethesda, MD 20852, United States.
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7
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Ramsuran V, Hernández-Sanchez PG, O'hUigin C, Sharma G, Spence N, Augusto DG, Gao X, García-Sepúlveda CA, Kaur G, Mehra NK, Carrington M. Sequence and Phylogenetic Analysis of the Untranslated Promoter Regions for HLA Class I Genes. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2017; 198:2320-2329. [PMID: 28148735 PMCID: PMC5340644 DOI: 10.4049/jimmunol.1601679] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Accepted: 01/02/2017] [Indexed: 01/09/2023]
Abstract
Polymorphisms located within the MHC have been linked to many disease outcomes by mechanisms not yet fully understood in most cases. Variants located within untranslated regions of HLA genes are involved in allele-specific expression and may therefore underlie some of these disease associations. We determined sequences extending nearly 2 kb upstream of the transcription start site for 68 alleles from 57 major lineages of classical HLA class I genes. The nucleotide diversity within this promoter segment roughly follows that seen within the coding regions, with HLA-B showing the highest (∼1.9%), followed by HLA-A (∼1.8%), and HLA-C showing the lowest diversity (∼0.9%). Despite its greater diversity, HLA-B mRNA expression levels determined in 178 European Americans do not vary in an allele- or lineage-specific manner, unlike the differential expression levels of HLA-A or HLA-C reported previously. Close proximity of promoter sequences in phylogenetic trees is roughly reflected by similarity of expression pattern for most HLA-A and -C loci. Although promoter sequence divergence might impact promoter activity, we observed no clear link between the phylogenetic structures as represented by pairwise nucleotide differences in the promoter regions with estimated differences in mRNA expression levels for the classical class I loci. Further, no pair of class I loci showed coordinated expression levels, suggesting that distinct mechanisms across loci determine their expression level under nonstimulated conditions. These data serve as a foundation for more in-depth analysis of the functional consequences of promoter region variation within the classical HLA class I loci.
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Affiliation(s)
- Veron Ramsuran
- Cancer and Inflammation Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139
| | - Pedro G Hernández-Sanchez
- Cancer and Inflammation Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702
- Laboratorio de Genómica Viral y Humana, Facultad de Medicina de la Universidad Autónoma de San Luis Potosi, 78210 San Luis Potosi, Mexico
| | - Colm O'hUigin
- Cancer and Inflammation Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702
| | - Gaurav Sharma
- Department of Transplant Immunology and Immunogenetics, All India Institute of Medical Sciences, New Delhi 110029, India
- Laboratory Oncology, Dr. B.R. Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi 110029, India; and
| | - Niamh Spence
- Cancer and Inflammation Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702
- Laboratory Oncology, Dr. B.R. Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi 110029, India; and
| | - Danillo G Augusto
- Laboratório de Genética Molecular Humana, Departamento de Genética, Universidade Federal do Paraná, Curitiba, CEP 81531-980, Brazil
| | - Xiaojiang Gao
- Cancer and Inflammation Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702
| | - Christian A García-Sepúlveda
- Laboratorio de Genómica Viral y Humana, Facultad de Medicina de la Universidad Autónoma de San Luis Potosi, 78210 San Luis Potosi, Mexico
| | - Gurvinder Kaur
- Department of Transplant Immunology and Immunogenetics, All India Institute of Medical Sciences, New Delhi 110029, India
| | - Narinder K Mehra
- Department of Transplant Immunology and Immunogenetics, All India Institute of Medical Sciences, New Delhi 110029, India
| | - Mary Carrington
- Cancer and Inflammation Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702;
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139
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8
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Huang J, Xiong L, Wang J, Liu Y, Zhu Q, Lei J, Zhou Z. Association between the HLA-DQB1 polymorphisms and the susceptibility of chronic hepatitis B: A comprehensive meta-analysis. Biomed Rep 2016; 4:557-566. [PMID: 27123247 PMCID: PMC4840628 DOI: 10.3892/br.2016.632] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2015] [Accepted: 01/26/2016] [Indexed: 12/14/2022] Open
Abstract
Single-nucleotide polymorphisms in the human leukocyte antigen (HLA)-DQB1 gene are associated with chronic inflammatory and immunological diseases. Host genetic factors have a key role in the development of chronic hepatitis B (CHB). The aim of the present study was to investigate the association between the HLA-DQB1 polymorphisms and the susceptibility to CHB. PubMed, Embase, CNKI and Wanfang databases were searched for the studies that reported the association of the HLA-DQB1 polymorphisms with CHB between January 1, 1966 and July 30, 2015. HLA-DQB1 polymorphism-specific odds ratio (OR) and 95% confidence intervals (95% CI) were pooled and calculated in the fixed effects model using the Mantel-Haenszel method. Q-test and I2 test were performed to examine the heterogeneity. Begg's funnel test and Egger's test were conducted to assess publication bias. All the statistical tests were two-tailed. Subsequent to searching the databases and screening according to the inclusion criteria, 7 case-control studies were available in the present meta-analysis, including 815 CHB patients and 731 control subjects for the HLA-DQB1 polymorphisms. In conclusion, the statistically significant pooled OR of the HLA-DQB1 polymorphisms were obtained for the HLA-DQB1 loci (*0201, case vs. CONTROL I2=36.5%; P-value of heterogeneity=0.15; OR, 1.29; 95% CI, 1.02-1.64; P=0.0301; *0301, case vs. CONTROL I2=0%; P-value of heterogeneity=0.899; OR, 1.37; 95% CI, 1.12-1.69; P=0.002; *0502, case vs. CONTROL I2=24.9%; P-value of heterogeneity=0.239; OR, 1.50; 95% CI, 1.02-2.20; P=0.04), which were associated with an increased risk of CHB. Similar significant results were observed and acquired in the following HLA-DQB1 loci (*0303, case vs. CONTROL I2=0%; P-value of heterogeneity=0.986; OR, 0.77; 95% CI, 0.62-0.95; P=0.017; *0604, case vs. CONTROL I2=0%; P-value of heterogeneity=0.594; OR, 0.38; 95% CI, 0.20-0.74; P=0.003), which were associated with a decreased risk of CHB. No significant association was observed for the other HLA-DQB1 family loci. The present meta-analysis demonstrated that the HLA-DQB1 loci (*0201, *0301 and *0502) polymorphisms were significantly associated with an increased risk of CHB. However, HLA-DQB1 loci polymorphisms (*0303 and *0604) were associated with a decreased risk of CHB. These results support the hypothesis that polymorphisms of the HLA-DQB1 allele families may affect the susceptibility or resistance to CHB.
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Affiliation(s)
- Jinmei Huang
- Department of Infectious Disease, The Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan 637000, P.R. China
| | - Liangshi Xiong
- Department of Infectious Disease, The Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan 637000, P.R. China
| | - Jin Wang
- Department of Infectious Disease, The Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan 637000, P.R. China
| | - Yongfang Liu
- Department of Infectious Disease, The Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan 637000, P.R. China
| | - Qirong Zhu
- Department of Infectious Disease, The Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan 637000, P.R. China
| | - Jun Lei
- School of Pharmacy, North Sichuan Medical College, Nanchong, Sichuan 637000, P.R. China
| | - Zhonghui Zhou
- Department of Infectious Disease, The Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan 637000, P.R. China
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9
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René C, Lozano C, Villalba M, Eliaou JF. 5' and 3' untranslated regions contribute to the differential expression of specific HLA-A alleles. Eur J Immunol 2015; 45:3454-63. [PMID: 26399450 DOI: 10.1002/eji.201545927] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2015] [Revised: 08/19/2015] [Accepted: 09/21/2015] [Indexed: 12/17/2022]
Abstract
In hematopoietic stem cell transplantation (HSCT), when no HLA full-matched donor is available, alternative donors could include one HLA-mismatched donor. Recently, the low expressed HLA-C alleles have been identified as permissive mismatches for the best donor choice. Concerning HLA-A, the degree of variability of expression is poorly understood. Here, we evaluated HLA-A expression in healthy individuals carrying HLA-A*02 allele in different genotypes using flow cytometry and allele-specific quantitative RT-PCR. While an interindividual variability of HLA-A*02 cell surface expression, not due to the allele associated, was observed, no difference of the mRNA expression level was shown, suggesting the involvement of the posttranscriptional regulation. The results of qRT-PCR analyses exhibit a differential expression of HLA-A alleles with HLA-A*02 as the strongest expressed allele independently of the second allele. The associated non-HLA-A*02 alleles were differentially expressed, particularly the HLA-A*31 and HLA-A*33 alleles (strong expression) and the HLA-A*29 (low expression). The presence of specific polymorphisms in the 5' and 3' untranslated regions of the HLA-A*31 and HLA-A*33 alleles could contribute to this high level of expression. As previously described for HLA-C, low-expressed HLA-A alleles, such as HLA-A*29, could be considered as a permissive mismatch, although this needs to be confirmed by clinical studies.
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Affiliation(s)
- Céline René
- Department of Immunology, CHRU de Montpellier, University Hospital Saint-Eloi, Montpellier, France.,Faculté de Médecine, University of Montpellier, Montpellier, France.,INSERM U1183, Université de Montpellier, UFR Médecine, Montpellier, France
| | - Claire Lozano
- Department of Immunology, CHRU de Montpellier, University Hospital Saint-Eloi, Montpellier, France
| | - Martin Villalba
- INSERM U1183, Université de Montpellier, UFR Médecine, Montpellier, France.,Institute for Regenerative Medicine and Biotherapy (IRMB), CHRU Montpellier, Montpellier, France
| | - Jean-François Eliaou
- Department of Immunology, CHRU de Montpellier, University Hospital Saint-Eloi, Montpellier, France.,Faculté de Médecine, University of Montpellier, Montpellier, France.,INSERM U1194, IRCM University of Montpellier, Montpellier, France
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10
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Rossi E, Basso D, Zambon CF, Navaglia F, Greco E, Pelloso M, Artuso S, Padoan A, Pescarin M, Aita A, Bozzato D, Moz S, Cananzi M, Guariso G, Plebani M. TNFA Haplotype Genetic Testing Improves HLA in Estimating the Risk of Celiac Disease in Children. PLoS One 2015; 10:e0123244. [PMID: 25915602 PMCID: PMC4411089 DOI: 10.1371/journal.pone.0123244] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2014] [Accepted: 02/28/2015] [Indexed: 12/13/2022] Open
Abstract
Background TNF-α and IFN-γ play a role in the development of mucosal damage in celiac disease (CD). Polymorphisms of TNFA and IFNG genes, as well as of the TNFRSF1A gene, encoding the TNF-α receptor 1, might underlie different inter-individual disease susceptibility over a common HLA risk background. The aims of this study were to ascertain whether five SNPs in the TNFA promoter (-1031T>C,-857C>T,-376G>A,-308G>A,-238G>A), sequence variants of the TNFRSF1A gene and IFNG +874A>T polymorphism are associated with CD in a HLA independent manner. Methods 511 children (244 CD, 267 controls) were genotyped for HLA, TNFA and INFG (Real Time PCR). TNFRSF1A variants were studied (DHPLC and sequence). Results Only the rare TNFA-1031C (OR=0.65, 95% CI:0.44-0.95), -857T (OR=0.42, 95% CI:0.27-0.65), -376A (OR=2.25, 95% CI:1.12-4.51) and -308A (OR=4.76, 95% CI:3.12-7.26) alleles were significantly associated with CD. One TNFRSF1A variant was identified (c.625+10A>G, rs1800693), but not associated with CD. The CD-correlated TNFA SNPs resulted in six haplotypes. Two haplotypes were control-associated (CCGG and TTGG) and three were CD-associated (CCAG, TCGA and CCGA). The seventeen inferred haplotype combinations were grouped (A to E) based on their frequencies among CD. Binary logistic regression analysis documented a strong association between CD and HLA (OR for intermediate risk haplotypes=178; 95% CI:24-1317; OR for high risk haplotypes=2752; 95% CI:287-26387), but also an HLA-independent correlation between CD and TNFA haplotype combination groups. The CD risk for patients carrying an intermediate risk HLA haplotype could be sub-stratified by TNFA haplotype combinations. Conclusion TNFA promoter haplotypes associate with CD independently from HLA. We suggest that their evaluation might enhance the accuracy in estimating the CD genetic risk.
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Affiliation(s)
- Elisa Rossi
- Department of Medicine—DIMED, University of Padova, Padova, Italy
| | - Daniela Basso
- Department of Laboratory Medicine, University—Hospital of Padova, Padova, Italy
- * E-mail:
| | | | - Filippo Navaglia
- Department of Laboratory Medicine, University—Hospital of Padova, Padova, Italy
| | - Eliana Greco
- Department of Medicine—DIMED, University of Padova, Padova, Italy
| | - Michela Pelloso
- Department of Medicine—DIMED, University of Padova, Padova, Italy
| | - Serena Artuso
- Unit of Pediatric Gastroenterology, Department of Women and Children's Health, University-Hospital of Padova, Padova, Italy
| | - Andrea Padoan
- Department of Medicine—DIMED, University of Padova, Padova, Italy
| | - Matilde Pescarin
- Unit of Pediatric Gastroenterology, Department of Women and Children's Health, University-Hospital of Padova, Padova, Italy
| | - Ada Aita
- Department of Medicine—DIMED, University of Padova, Padova, Italy
| | - Dania Bozzato
- Department of Medicine—DIMED, University of Padova, Padova, Italy
| | - Stefania Moz
- Department of Medicine—DIMED, University of Padova, Padova, Italy
| | - Mara Cananzi
- Unit of Pediatric Gastroenterology, Department of Women and Children's Health, University-Hospital of Padova, Padova, Italy
| | - Graziella Guariso
- Unit of Pediatric Gastroenterology, Department of Women and Children's Health, University-Hospital of Padova, Padova, Italy
| | - Mario Plebani
- Department of Medicine—DIMED, University of Padova, Padova, Italy
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11
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Tafti M. HLA-DQ allele competition in narcolepsy: where is the evidence? Sleep 2015; 38:153-4. [PMID: 25515111 DOI: 10.5665/sleep.4344] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2014] [Accepted: 12/01/2014] [Indexed: 11/03/2022] Open
Affiliation(s)
- Mehdi Tafti
- Center for Integrative Genomics (CIG) University of Lausanne, Lausanne, Switzerland; Center for Investigation and Research in Sleep (CIRS), Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
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12
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Glisic S, Jailwala P. Interaction between Treg apoptosis pathways, Treg function and HLA risk evolves during type 1 diabetes pathogenesis. PLoS One 2012; 7:e36040. [PMID: 22563437 PMCID: PMC3338571 DOI: 10.1371/journal.pone.0036040] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2012] [Accepted: 03/29/2012] [Indexed: 11/23/2022] Open
Abstract
We have previously reported increased apoptosis of regulatory T cells (Tregs) in recent-onset Type 1 Diabetes subjects (RO T1D) in the honeymoon phase and in multiple autoantibody-positive (Ab+) subjects, some of which are developing T1D. We have also reported that increased Treg apoptosis was associated with High HLA risk and that it subsided with cessation of honeymoon period. In this report, we present results generated using genetics, genomics, functional cell-based assays and flow cytometry to assess cellular changes at the T-cell level during T1D pathogenesis. We measured ex vivo Treg apoptosis and Treg function, surface markers expression, expression of HLA class II genes, the influence of HLA risk on Treg apoptosis and function, and evaluated contribution of genes reported to be involved in the apoptosis process. This integrated comprehensive approach uncovered important information that can serve as a basis for future studies aimed to modulate Treg cell responsiveness to apoptotic signals in autoimmunity. For example, T1D will progress in those subjects where increased Treg apoptosis is accompanied with decreased Treg function. Furthermore, Tregs from High HLA risk healthy controls had increased Treg apoptosis levels and overexpressed FADD but not Fas/FasL. Tregs from RO T1D subjects in the honeymoon phase were primarily dying through withdrawal of growth hormones with contribution of oxidative stress, mitochondrial apoptotic pathways, and employment of TNF-receptor family members. Ab+ subjects, however, expressed high inflammation level, which probably contributed to Treg apoptosis, although other apoptotic pathways were also activated: withdrawal of growth hormones, oxidative stress, mitochondrial apoptosis and Fas/FasL apoptotic pathways. The value of these results lie in potentially different preventive treatment subjects would receive depending on disease progression stage when treated.
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Affiliation(s)
- Sanja Glisic
- Department of Pediatrics, Max McGee National Research Center for Juvenile Diabetes, Medical College of Wisconsin, Children's Hospital of Wisconsin, Milwaukee, Wisconsin, United States of America.
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lachmi KW, Lin L, Kornum BR, Rico T, Lo B, Aran A, Mignot E. DQB1*06:02 allele-specific expression varies by allelic dosage, not narcolepsy status. Hum Immunol 2012; 73:405-10. [PMID: 22326585 PMCID: PMC3501142 DOI: 10.1016/j.humimm.2012.01.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2011] [Revised: 01/06/2012] [Accepted: 01/24/2012] [Indexed: 11/25/2022]
Abstract
The association of narcolepsy-cataplexy, a sleep disorder caused by the loss of hypocretin/orexin neurons in the hypothalamus, with DQA1*01:02-DQB1*06:02 is one of the tightest known single-allele human leukocyte antigen (HLA) associations. In this study, we explored genome-wide expression in peripheral white blood cells of 50 narcolepsy versus 47 controls (half of whom were DQB1*06:02 positive) and observed the largest differences between the groups in the signal from HLA probes. Further studies of HLA-DQ expression (mRNA and protein in a subset) in 125 controls and 147 narcolepsy cases did not reveal any difference, a result we explain by the lack of proper control of allelic diversity in Affymetrix HLA probes. Rather, a clear effect of DQB1*06:02 allelic dosage on DQB1*06:02 mRNA levels (1.65-fold) and protein (1.59-fold) could be demonstrated independent of disease status. These results indicate that allelic dosage is transmitted into changes in heterodimer availability, a phenomenon that may explain the increased risk for narcolepsy in DQB1*06:02 homozygotes versus heterozygotes.
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Affiliation(s)
- Karin Weiner lachmi
- Center for Sleep Sciences, Stanford University, 1050 Arastradero Road. Bldg A Lab A258, Palo Alto, CA 94304-5592, USA
| | - Ling Lin
- Center for Sleep Sciences, Stanford University, 1050 Arastradero Road. Bldg A Lab A258, Palo Alto, CA 94304-5592, USA
| | - Birgitte Rahbek Kornum
- Center for Sleep Sciences, Stanford University, 1050 Arastradero Road. Bldg A Lab A258, Palo Alto, CA 94304-5592, USA
| | - Tom Rico
- Center for Sleep Sciences, Stanford University, 1050 Arastradero Road. Bldg A Lab A258, Palo Alto, CA 94304-5592, USA
| | - Betty Lo
- Center for Sleep Sciences, Stanford University, 1050 Arastradero Road. Bldg A Lab A258, Palo Alto, CA 94304-5592, USA
| | - Adi Aran
- Center for Sleep Sciences, Stanford University, 1050 Arastradero Road. Bldg A Lab A258, Palo Alto, CA 94304-5592, USA
| | - Emmanuel Mignot
- Center for Sleep Sciences, Stanford University, 1050 Arastradero Road. Bldg A Lab A258, Palo Alto, CA 94304-5592, USA
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14
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Jalilian B, Omar AR, Bejo MH, Alitheen NB, Rasoli M, Matsumoto S. Development of avian influenza virus H5 DNA vaccine and MDP-1 gene of Mycobacterium bovis as genetic adjuvant. GENETIC VACCINES AND THERAPY 2010; 8:4. [PMID: 20497569 PMCID: PMC2887864 DOI: 10.1186/1479-0556-8-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2010] [Accepted: 05/24/2010] [Indexed: 11/27/2022]
Abstract
Background Studies have shown that DNA vaccines can induce protective immunity, which demonstrated the high potential of DNA vaccines as an alternative to inactivated vaccines. Vaccines are frequently formulated with adjuvants to improve their release, delivery and presentation to the host immune system. Methods The H5 gene of H5N1 virus (A/Ck/Malaysia/5858/04) was cloned separately into pcDNA3.1 + vector. The immunogenicity of the cloned H5 DNA vaccine was tested on SPF chickens using two different approaches. First approach was using H5 DNA vaccine (pcDNA3.1/H5) and the second was using H5 DNA vaccine in addition to the pcDNA3.1/MDP1 vaccine. Ten days old chickens inoculated three times with two weeks intervals. The spleen and muscle samples from chickens immunized with H5 (pcDNA3.1/H5) and H5 + MDP1 (pcDNA3.1/H5 + pcDNA3.1/MDP1) vaccines were collected after sacrificing the chickens and successfully expressed H5 and MDP1 RNA transcripts. The sera of immunized chickens were collected prior to first immunization and every week after immunization; and analyzed using enzyme-linked immunosorbent assay (ELISA) and hemagglutination inhibition (HI) test. Results Results of competitive ELISA showed successful antibody responses two weeks post immunization. The HI test showed an increased in antibody titers during the course of experiment in group immunized with H5 and H5 + MDP1 vaccines. The result showed that the constructed DNA vaccines were able to produce detectable antibody titer in which the group immunized with H5 + MDP1 vaccine produced higher antibody comparing to H5 vaccine alone. Conclusions This study shows for the first time the usefulness of MDP1 as a genetic adjuvant for H5 DNA vaccine.
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Affiliation(s)
- Babak Jalilian
- Institute of Bioscience, University Putra Malaysia, Serdang 43400, Selangor, Malaysia.
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Handunnetthi L, Ramagopalan SV, Ebers GC, Knight JC. Regulation of major histocompatibility complex class II gene expression, genetic variation and disease. Genes Immun 2010; 11:99-112. [PMID: 19890353 PMCID: PMC2987717 DOI: 10.1038/gene.2009.83] [Citation(s) in RCA: 104] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2009] [Accepted: 09/15/2009] [Indexed: 12/29/2022]
Abstract
Major histocompatibility complex (MHC) class II molecules are central to adaptive immune responses and maintenance of self-tolerance. Since the early 1970s, the MHC class II region at chromosome 6p21 has been shown to be associated with a remarkable number of autoimmune, inflammatory and infectious diseases. Given that a full explanation for most MHC class II disease associations has not been reached through analysis of structural variation alone, in this review we examine the role of genetic variation in modulating gene expression. We describe the intricate architecture of the MHC class II regulatory system, indicating how its unique characteristics may relate to observed associations with disease. There is evidence that haplotype-specific variation involving proximal promoter sequences can alter the level of gene expression, potentially modifying the emergence and expression of key phenotypic traits. Although much emphasis has been placed on cis-regulatory elements, we also examine the role of more distant enhancer elements together with the evidence of dynamic inter- and intra-chromosomal interactions and epigenetic processes. The role of genetic variation in such mechanisms may hold profound implications for susceptibility to common disease.
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Affiliation(s)
- Lahiru Handunnetthi
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- Department of Clinical Neurology, University of Oxford, Oxford OX3 7BN, UK
| | - Sreeram V. Ramagopalan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- Department of Clinical Neurology, University of Oxford, Oxford OX3 7BN, UK
| | - George C. Ebers
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- Department of Clinical Neurology, University of Oxford, Oxford OX3 7BN, UK
| | - Julian C. Knight
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
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Xi-Lin Z, Te D, Jun-Hong L, Liang-Ping L, Xin-Hui G, Ji-Rong G, Chun-Yan G, Zhuo L, Ying L, Hui L. Analysis of HLA-DQB1 gene polymorphisms in asymptomatic HBV carriers and chronic hepatitis B patients in the Chinese Han population. Int J Immunogenet 2006; 33:249-54. [PMID: 16893387 DOI: 10.1111/j.1744-313x.2006.00607.x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Host genetic factors and environment factors including hepatitis B virus (HBV) genotype are widely viewed as common basis of the different outcomes of HBV infection. Human leucocyte antigen (HLA) plays an important role in immunological reaction to HBV infection. The study aimed to explore whether the HLA-DQB1 allele polymorphisms are associated with the outcomes of HBV infection in the Chinese Han population. One hundred and thirty-four asymptomatic HBV carriers and 139 chronic hepatitis B patients were recruited in this case-control study in Beijing, China. Sequence-specific primers-polymerase chain reaction was used to detect 13 alleles of HLA-DQB1 gene. The frequency distributions of alleles in two groups were analysed using sas 9.1.2 software. After adjustment of confounders the frequencies of HLA-DQB1*0503 allele and *0303 allele in chronic hepatitis B group were statistically significant lower than those in asymptomatic HBV carrier group (P = 0.04; P = 0.05), and the frequency of exposure to alcohol consumption in patients with chronic hepatitis B was clearly higher than that in asymptomatic HBV carrier group (P = 0.004). HLA-DQB1*0503 allele and *0303 allele are independently resistant genetic factors to chronic hepatitis B, and alcohol consumption is the risk factor of chronic hepatitis B.
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Affiliation(s)
- Z Xi-Lin
- National Laboratory of Medical Molecular Biology, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
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Liu X, Fu Y, Liu Z, Lin B, Xie Y, Liu Y, Xu Y, Lin J, Fan X, Dong M, Zeng K, Wu CI, Xu A. An ancient balanced polymorphism in a regulatory region of human major histocompatibility complex is retained in Chinese minorities but lost worldwide. Am J Hum Genet 2006; 78:393-400. [PMID: 16465617 PMCID: PMC1380283 DOI: 10.1086/500593] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2005] [Accepted: 12/13/2005] [Indexed: 11/03/2022] Open
Abstract
The coding regions of many of the major histocompatibility complex (MHC) (human leukocyte antigen [HLA] in humans) molecules are believed to be subject to balancing selection. But it is less certain whether the regulatory regions of such coding sequences are also subject to the same type of selection. Here, we studied the polymorphism of the regulatory regions of the HLA-DPA1 and HLA-DPB1 genes among ethnic minorities in southwestern China. Phylogenetic analysis revealed two deep clades >10 million years old. There is almost complete linkage disequilibrium between the regulatory and coding regions of HLA-DPA1, which hints at coadaptive balancing selection on the entire region. Thus, the molecular mechanism of balancing selection in MHC may involve expression modulation in addition to coding-region polymorphisms. Although the frequency of clade II is >30% in some ethnic minorities, it decreases to <5% among southern Han Chinese and vanishes among Europeans. As suspected, some ancient balanced polymorphisms, lost in major populations, still exist in isolated ethnicities. These isolated populations may thus contribute disproportionately to the total diversity of modern humans.
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Affiliation(s)
- Xiaoyi Liu
- State Key Laboratory for Biocontrol, Department of Biochemistry, Key Laboratory of Genetic Engineering of the Ministry of Education, College of Life Sciences, and International Center for Evolutionary and Genomic Studies, Sun Yat-sen (Zhongshan) University, Guangzhou, China; and Department of Ecology and Evolution, University of Chicago, Chicago
| | - Yonggui Fu
- State Key Laboratory for Biocontrol, Department of Biochemistry, Key Laboratory of Genetic Engineering of the Ministry of Education, College of Life Sciences, and International Center for Evolutionary and Genomic Studies, Sun Yat-sen (Zhongshan) University, Guangzhou, China; and Department of Ecology and Evolution, University of Chicago, Chicago
| | - Zehuan Liu
- State Key Laboratory for Biocontrol, Department of Biochemistry, Key Laboratory of Genetic Engineering of the Ministry of Education, College of Life Sciences, and International Center for Evolutionary and Genomic Studies, Sun Yat-sen (Zhongshan) University, Guangzhou, China; and Department of Ecology and Evolution, University of Chicago, Chicago
| | - Bin Lin
- State Key Laboratory for Biocontrol, Department of Biochemistry, Key Laboratory of Genetic Engineering of the Ministry of Education, College of Life Sciences, and International Center for Evolutionary and Genomic Studies, Sun Yat-sen (Zhongshan) University, Guangzhou, China; and Department of Ecology and Evolution, University of Chicago, Chicago
| | - Yi Xie
- State Key Laboratory for Biocontrol, Department of Biochemistry, Key Laboratory of Genetic Engineering of the Ministry of Education, College of Life Sciences, and International Center for Evolutionary and Genomic Studies, Sun Yat-sen (Zhongshan) University, Guangzhou, China; and Department of Ecology and Evolution, University of Chicago, Chicago
| | - Yin Liu
- State Key Laboratory for Biocontrol, Department of Biochemistry, Key Laboratory of Genetic Engineering of the Ministry of Education, College of Life Sciences, and International Center for Evolutionary and Genomic Studies, Sun Yat-sen (Zhongshan) University, Guangzhou, China; and Department of Ecology and Evolution, University of Chicago, Chicago
| | - Yunpin Xu
- State Key Laboratory for Biocontrol, Department of Biochemistry, Key Laboratory of Genetic Engineering of the Ministry of Education, College of Life Sciences, and International Center for Evolutionary and Genomic Studies, Sun Yat-sen (Zhongshan) University, Guangzhou, China; and Department of Ecology and Evolution, University of Chicago, Chicago
| | - Jianghai Lin
- State Key Laboratory for Biocontrol, Department of Biochemistry, Key Laboratory of Genetic Engineering of the Ministry of Education, College of Life Sciences, and International Center for Evolutionary and Genomic Studies, Sun Yat-sen (Zhongshan) University, Guangzhou, China; and Department of Ecology and Evolution, University of Chicago, Chicago
| | - Xinlan Fan
- State Key Laboratory for Biocontrol, Department of Biochemistry, Key Laboratory of Genetic Engineering of the Ministry of Education, College of Life Sciences, and International Center for Evolutionary and Genomic Studies, Sun Yat-sen (Zhongshan) University, Guangzhou, China; and Department of Ecology and Evolution, University of Chicago, Chicago
| | - Meiling Dong
- State Key Laboratory for Biocontrol, Department of Biochemistry, Key Laboratory of Genetic Engineering of the Ministry of Education, College of Life Sciences, and International Center for Evolutionary and Genomic Studies, Sun Yat-sen (Zhongshan) University, Guangzhou, China; and Department of Ecology and Evolution, University of Chicago, Chicago
| | - Kai Zeng
- State Key Laboratory for Biocontrol, Department of Biochemistry, Key Laboratory of Genetic Engineering of the Ministry of Education, College of Life Sciences, and International Center for Evolutionary and Genomic Studies, Sun Yat-sen (Zhongshan) University, Guangzhou, China; and Department of Ecology and Evolution, University of Chicago, Chicago
| | - Chung-I Wu
- State Key Laboratory for Biocontrol, Department of Biochemistry, Key Laboratory of Genetic Engineering of the Ministry of Education, College of Life Sciences, and International Center for Evolutionary and Genomic Studies, Sun Yat-sen (Zhongshan) University, Guangzhou, China; and Department of Ecology and Evolution, University of Chicago, Chicago
| | - Anlong Xu
- State Key Laboratory for Biocontrol, Department of Biochemistry, Key Laboratory of Genetic Engineering of the Ministry of Education, College of Life Sciences, and International Center for Evolutionary and Genomic Studies, Sun Yat-sen (Zhongshan) University, Guangzhou, China; and Department of Ecology and Evolution, University of Chicago, Chicago
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