1
|
Ishihara S, Shiraishi JI, Shimamoto S, Ijiri D. Endogenous retrovirus loci and induced changes in gene expression in Japanese indigenous chickens. Sci Rep 2025; 15:12290. [PMID: 40210992 PMCID: PMC11986011 DOI: 10.1038/s41598-025-96881-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2024] [Accepted: 04/01/2025] [Indexed: 04/12/2025] Open
Abstract
When retroviruses infect germ cells and are transmitted to offspring, they become endogenous retroviruses (ERVs), whose insertions may influence the expression of nearby genes. In this study, we aimed to identify the genomic loci of ERVs in commercial broiler (Ross308), Tosa-Jidori, and Yakido chickens, as well as to elucidate their impact on neighboring gene expression. Whole-genome data were obtained using next-generation sequencing, and candidate ERV loci were identified using the RetroSeq software. The Integrative Genomics Viewer tool was used to confirm target site duplications (TSDs) as evidence of ERV insertions. All reads within 200 bp of these TSDs were extracted to create contigs, confirming the presence of ERV sequences in the contigs using BLASTN. Gene expression levels were estimated by focusing on genes located near the 172 identified ERV loci. Among these, 119 loci were detected in broiler chickens, 80 in Tosa-Jidori chickens, and 86 in Yakido chickens, with 28 loci shared among them. Moreover, of these 172 loci, 75 were located within or near genes. Significant differences in gene expression were observed for N-acetylated alpha-linked acidic dipeptidase 2 (NAALAD2) and phosphoribosylaminoimidazolesuccinocarboxamide synthase (PAICS) depending on the presence of ERV insertions. These results suggest that ERV insertions may influence the expression of NAALAD2 and PAICS, providing insights into the genetic diversity and evolutionary background of commercial and indigenous chickens. Understanding the effects of ERV insertions on gene expression can inform future genetic research and poultry breeding programs aimed at improving health and productivity.
Collapse
Affiliation(s)
- Shinya Ishihara
- Department of Animal Science, Nippon Veterinary and Life Science University, 1-7-1 Kyonancho, Musashino, Tokyo, 180-8602, Japan.
| | - Jun-Ichi Shiraishi
- Department of Animal Science, Nippon Veterinary and Life Science University, 1-7-1 Kyonancho, Musashino, Tokyo, 180-8602, Japan
| | - Saki Shimamoto
- Department of Animal Science and Welfare, Joint Faculty of Veterinary Medicine, Kagoshima University, 1-21-24 Korimoto, Kagoshima, 890-0065, Japan
| | - Daichi Ijiri
- Department of Animal Science and Welfare, Joint Faculty of Veterinary Medicine, Kagoshima University, 1-21-24 Korimoto, Kagoshima, 890-0065, Japan
| |
Collapse
|
2
|
Wang H, Zhang L, Wei Y, Liu H, Wang Y, Ge Y, Pan Y. Transcriptome analyses of shell color and egg production traits between the uteruses of blue-green eggshell chickens and Hy-Line brown layers. Poult Sci 2024; 103:104438. [PMID: 39471669 PMCID: PMC11550360 DOI: 10.1016/j.psj.2024.104438] [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] [Received: 07/01/2024] [Revised: 09/25/2024] [Accepted: 10/15/2024] [Indexed: 11/01/2024] Open
Abstract
Blue-green eggs exhibit unique shell color; however, compared to commercial layers, blue-green eggshell chickens have lower egg production and lack uniform shell colors. Aiming to confirm the molecular mechanisms that affect shell color and egg production, this study collected the uteruses of 12 blue-green eggshell chickens (BG group) and six Hy-Line layers (Brown group), which had significantly different shell color indexes (SCI) and egg numbers at 300 days of age (EN300). Transcriptome sequencing and comparative analyses were subsequently performed. BG hens were divided into two groups for comparative analysis (BGblue vs. BGgreen and BGlow vs. BGhigh, respectively), based on the differences in SCI and EN300, respectively. The result of weighted gene co-expression network (WGCNA) analysis showed that the sequenced and mapped 16,785 genes were clustered into 18 modules, among which six modules with a total of 4270 genes were highly correlated with SCI and EN300 traits. Five hundred and eleven differentially expressed genes (DEGs) belonged to the six key modules. Through KEGG mapping, GO enrichment, and Cytoscape network analysis, nine Hub genes were tightly associated with SCI and EN300. The up-regulated genes were CCR2, CCR8, CD40LG, IL18RAP, INHBA, and P2RY13, while the down-regulated genes were ABCA13, ADCY2, and GRM1. Co-analyses with the results of comparisons between the BG subgroups revealed that the expression of solute carrier (SLC) proteins and ABC transporters were highly related to eggshell color, while cytokine-cytokine receptor interactions and neuroactive ligand-receptor interactions were key pathways affecting egg production. The expression of extracellular cytokines and membrane receptors were significantly up-regulated in low-yield chickens. The candidate DEGs and pathways found in the study will assist in clarifying the molecular mechanisms affecting shell color and egg production, and improve the breeding of blue-green eggshell chickens.
Collapse
Affiliation(s)
- Huanhuan Wang
- Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China; College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Lei Zhang
- Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China
| | - Yinghui Wei
- Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China
| | - Hang Liu
- Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China
| | - Yanlu Wang
- Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China
| | - Ying Ge
- Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China
| | - Yuchun Pan
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
| |
Collapse
|
3
|
Beranova K, Jozova E, Anderle V, Rost M, Zita L, Beran P, Tyllerova Landova H, Curn V, Tyller M. Molecular tool for efficient breeding of DOMINANT Greenshell laying hens and significant refinement of phenotypic selection focused on eggshell color. Poult Sci 2024; 103:104425. [PMID: 39461274 PMCID: PMC11546150 DOI: 10.1016/j.psj.2024.104425] [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] [Received: 08/05/2024] [Revised: 09/19/2024] [Accepted: 10/11/2024] [Indexed: 10/29/2024] Open
Abstract
In recent decades, interest in non-traditionally colored eggs has increased. For breeders, this market interest means breeding lines of laying hens that lay eggs of varied colors, such as the blue-green eggshells (Dominant Greenshell) in this study. This study presents the results of genotyping the polymorphism of the O locus responsible for shell coloration and photometric measurement of eggshell color based on the CIELAb system, which was carried out on the unique Czech breeding population Dominant Greenshell. The aim was to use a combination of phenotyping using the CIELab System method and genotyping of the O locus using the end-point PCR approach with the main focus on the accuracy of distinguishing shell color genotypes, streamlining the selection of dominant homozygotes in the O locus, optimizing this technology for the most efficient and cost-effective selection procedure in practical hen breeding. The optometric method was able to reliably distinguish only dominant and recessive phenotypes and eliminate from the population only undesirable recessive homozygotes with a white colored shell. The parameter a* (redness/greenness) from the CIELab color space turned out to be absolutely key for distinguishing dominant and recessive phenotypes. Using the CART methodology, a classification tree built on discriminating optometric characteristics a-blunt was obtained, however, for the group of desirable O/O homozygotes, the selection approach would result in incorrect genotyping of 31% of individuals. Therefore, a combined approach based on rapid and simple elimination of recessive homozygotes using phenotyping (CIELab photometric measurement) and molecular identification of the EAV-HP insertion in the SLCO1B3 gene in dominant phenotypes, regardless of color intensity affected by laying time/order, and allowing reliable elimination, has proven to be the most effective method to distinguish heterozygotes from the breeding population. The combination of optometric and molecular selection methods then leads to more efficient selection, reduction of overall selection costs. This process led to the stabilization of the breeding population within one generation and the achievement of a pure homozygous line with regard to eggshell color.
Collapse
Affiliation(s)
- Kristina Beranova
- University of South Bohemia, Faculty of Agriculture and Technology, Department of Genetics and Biotechnology, České Budějovice, Czech Republic.
| | - Eva Jozova
- University of South Bohemia, Faculty of Agriculture and Technology, Department of Genetics and Biotechnology, České Budějovice, Czech Republic
| | | | - Michael Rost
- University of South Bohemia, Faculty of Agriculture and Technology, Department of Genetics and Biotechnology, České Budějovice, Czech Republic
| | - Lukas Zita
- Czech University of Life Science Prague, Faculty of Agrobiology, Food and Natural Resources, Department of Animal Science, Prague, Czech Republic
| | - Pavel Beran
- University of South Bohemia, Faculty of Agriculture and Technology, Department of Genetics and Biotechnology, České Budějovice, Czech Republic
| | | | - Vladislav Curn
- University of South Bohemia, Faculty of Agriculture and Technology, Department of Genetics and Biotechnology, České Budějovice, Czech Republic
| | | |
Collapse
|
4
|
Ma C, Shi X, Li X, Zhang YP, Peng MS. Comprehensive evaluation and guidance of structural variation detection tools in chicken whole genome sequence data. BMC Genomics 2024; 25:970. [PMID: 39415108 PMCID: PMC11481438 DOI: 10.1186/s12864-024-10875-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 10/08/2024] [Indexed: 10/18/2024] Open
Abstract
BACKGROUND Structural variations (SVs) are widespread across genome and have a great impact on evolution, disease, and phenotypic diversity. Despite the development of numerous bioinformatic tools, commonly referred to as SV callers, tailored for detecting SVs using whole genome sequence (WGS) data and employing diverse algorithms, their performance necessitates rigorous evaluation with real data and validated SVs. Moreover, a considerable proportion of these tools have been primarily designed and optimized using human genome data. Consequently, their applicability and performance in Avian species, characterized by smaller genomes and distinct genomic architectures, remain inadequately assessed. RESULTS We performed a comprehensive assessment of the performance of ten widely used SV callers using population-level real genomic data with the validated five common types of SVs. The performance of SV callers varies with the types and sizes of SVs. As compared with other tools, GRIDSS, Lumpy, Wham, and Manta present better detection accuracy. Pindel can detect more small SVs than others. CNVnator and CNVkit can detect more medium and large copy number variations. Given the poor consistency among different SV callers, the combination calling strategy is not recommended. All tools show poor ability in the detection of insertions (especially with size > 150 bp). At least 50× read depth is required to detect more than 80% of the SVs for most tools. CONCLUSIONS This study highlights the importance and necessity of using real sequencing data, rather than simulated data only, with validated SVs for SV caller evaluation. Some practical guidance and suggestions are provided for SV detection in future researches.
Collapse
Affiliation(s)
- Cheng Ma
- Key Laboratory of Genetic Evolution & Animal Models and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
- Department of Medical Biochemistry and Microbiology, Uppsala University, BMC, Uppsala, SE-75123, Sweden
| | - Xian Shi
- Key Laboratory of Genetic Evolution & Animal Models and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xuzhen Li
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, 650201, China
- College of Biological Big Data, Yunnan Agriculture University, Kunming, 650201, China
| | - Ya-Ping Zhang
- Key Laboratory of Genetic Evolution & Animal Models and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming, 650091, China.
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Min-Sheng Peng
- Key Laboratory of Genetic Evolution & Animal Models and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
| |
Collapse
|
5
|
Recuerda M, Campagna L. How structural variants shape avian phenotypes: Lessons from model systems. Mol Ecol 2024; 33:e17364. [PMID: 38651830 DOI: 10.1111/mec.17364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 04/04/2024] [Accepted: 04/09/2024] [Indexed: 04/25/2024]
Abstract
Despite receiving significant recent attention, the relevance of structural variation (SV) in driving phenotypic diversity remains understudied, although recent advances in long-read sequencing, bioinformatics and pangenomic approaches have enhanced SV detection. We review the role of SVs in shaping phenotypes in avian model systems, and identify some general patterns in SV type, length and their associated traits. We found that most of the avian SVs so far identified are short indels in chickens, which are frequently associated with changes in body weight and plumage colouration. Overall, we found that relatively short SVs are more frequently detected, likely due to a combination of their prevalence compared to large SVs, and a detection bias, stemming primarily from the widespread use of short-read sequencing and associated analytical methods. SVs most commonly involve non-coding regions, especially introns, and when patterns of inheritance were reported, SVs associated primarily with dominant discrete traits. We summarise several examples of phenotypic convergence across different species, mediated by different SVs in the same or different genes and different types of changes in the same gene that can lead to various phenotypes. Complex rearrangements and supergenes, which can simultaneously affect and link several genes, tend to have pleiotropic phenotypic effects. Additionally, SVs commonly co-occur with single-nucleotide polymorphisms, highlighting the need to consider all types of genetic changes to understand the basis of phenotypic traits. We end by summarising expectations for when long-read technologies become commonly implemented in non-model birds, likely leading to an increase in SV discovery and characterisation. The growing interest in this subject suggests an increase in our understanding of the phenotypic effects of SVs in upcoming years.
Collapse
Affiliation(s)
- María Recuerda
- Fuller Evolutionary Biology Program, Cornell Lab of Ornithology, Ithaca, New York, USA
| | - Leonardo Campagna
- Fuller Evolutionary Biology Program, Cornell Lab of Ornithology, Ithaca, New York, USA
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, USA
| |
Collapse
|
6
|
Wang Z, Chen Q, Wang Y, Wang Y, Liu R. Refine localizations of functional variants affecting eggshell color of Lueyang black-boned chicken in the SLCO1B3. Poult Sci 2024; 103:103212. [PMID: 37980747 PMCID: PMC10685018 DOI: 10.1016/j.psj.2023.103212] [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] [Received: 08/17/2023] [Revised: 10/13/2023] [Accepted: 10/13/2023] [Indexed: 11/21/2023] Open
Abstract
Table eggs with color-uniformity shell are visually attractive for consumers. Lueyang black-boned chicken (LBC) lays colorful eggs, which is undesirable for sale of table eggs, but provides a segregating population for mapping functional variants affecting eggshell color. SLCO1B3 was identified as the causative gene for blue eggs in the Dongxiang and Araucana chickens. The aim of this study is to map functional variants associated with chicken eggshell color in the SLCO1B3. Eggshell color of LBC (n = 383) was measured using the L*a*b color space. SLCO1B3 was resequencing using a subset (n = 30) of 383 samples. Linkage disequilibrium among 139 SNP was analyzed. Association of 16 SNP in the SLCO1B3 and 8 in CPOX, ALAS1, and ABCG2 genes with L*a*b were tested by a polygenic model (LMM) and a polygenic/oligogenic mixed model (BSLMM). Chromatin state annotations were retrieved from the UCSC database. Effect of SLCO1B3 variants distributed in mapping and upstream 1.6-kb regions on promoter activities were analyzed using dual-luciferase reporter assay. One hundred and thirty-nine variants maintained low linkage disequilibrium with 80% of r2 less than 0.226. Fifteen SLCO1B3 variants were significantly associated with a*, of which 1B3_SNP108 was showed the strongest association and the largest effect on a*. In the BSLMM, 1B3_SNP108 alone appeared in the Markov chain Monte Carlo as major variants in 100% of posterior inclusion probability. None of variants in CPOX, ALAS1, and ABCG2 were significantly associated with color indexes except that 2 ALAS1 variants were associated with L*. 1B3_SNP108 distributes in the Intron4 where 6 active enhancers and 1 ATAC island were enriched. However, 1B3_SNP108-containing constructs showed negligible activities in the reporter assay. No significant differences of activities between haplotypes were found for five 5'-deleted promoter constructs. The data recognizes 1B3_SNP108 as a valuable marker for breeding of eggshell color. Functional variants are localized in the region adjacent to the 1B3_SNP108 due to low linkage disequilibrium in the LBC. Our findings extend the role of SLCO1B3 from a causative gene for blue eggs to a major regulator driving continuous variation of LBC eggshell color.
Collapse
Affiliation(s)
- Zhepeng Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling 712100, Shaanxi, China.
| | - Qiu Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Yiwei Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Yulu Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Ruifang Liu
- College of Animal Science and Technology, Northwest A&F University, Yangling 712100, Shaanxi, China
| |
Collapse
|
7
|
Kambal S, Tijjani A, Ibrahim SAE, Ahmed MKA, Mwacharo JM, Hanotte O. Candidate signatures of positive selection for environmental adaptation in indigenous African cattle: A review. Anim Genet 2023; 54:689-708. [PMID: 37697736 DOI: 10.1111/age.13353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 07/28/2023] [Accepted: 08/19/2023] [Indexed: 09/13/2023]
Abstract
Environmental adaptation traits of indigenous African cattle are increasingly being investigated to respond to the need for sustainable livestock production in the context of unpredictable climatic changes. Several studies have highlighted genomic regions under positive selection probably associated with adaptation to environmental challenges (e.g. heat stress, trypanosomiasis, tick and tick-borne diseases). However, little attention has focused on pinpointing the candidate causative variant(s) controlling the traits. This review compiled information from 22 studies on signatures of positive selection in indigenous African cattle breeds to identify regions under positive selection. We highlight some key candidate genome regions and genes of relevance to the challenges of living in extreme environments (high temperature, high altitude, high infectious disease prevalence). They include candidate genes involved in biological pathways relating to innate and adaptive immunity (e.g. BoLAs, SPAG11, IL1RL2 and GFI1B), heat stress (e.g. HSPs, SOD1 and PRLH) and hypoxia responses (e.g. BDNF and INPP4A). Notably, the highest numbers of candidate regions are found on BTA3, BTA5 and BTA7. They overlap with genes playing roles in several biological functions and pathways. These include but are not limited to growth and feed intake, cell stability, protein stability and sweat gland development. This review may further guide targeted genome studies aiming to assess the importance of candidate causative mutations, within regulatory and protein-coding genome regions, to further understand the biological mechanisms underlying African cattle's unique adaption.
Collapse
Affiliation(s)
- Sumaya Kambal
- Livestock Genetics, International Livestock Research Institute, Addis Ababa, Ethiopia
- Department of Genetics and Animal Breeding, Faculty of Animal Production, University of Khartoum, Khartoum, Sudan
- Department of Bioinformatics and Biostatistics, National University, Khartoum, Sudan
| | - Abdulfatai Tijjani
- Centre for Tropical Livestock Genetics and Health, International Livestock Research Institute, Addis Ababa, Ethiopia
- The Jackson Laboratory, Bar Harbor, Maine, USA
| | - Sabah A E Ibrahim
- Department of Bioinformatics and Biostatistics, National University, Khartoum, Sudan
| | - Mohamed-Khair A Ahmed
- Department of Genetics and Animal Breeding, Faculty of Animal Production, University of Khartoum, Khartoum, Sudan
| | - Joram M Mwacharo
- Scotland's Rural College and Centre for Tropical Livestock Genetics and Health, Edinburgh, UK
- Small Ruminant Genomics, International Centre for Agricultural Research in the Dry Areas, Addis Ababa, Ethiopia
| | - Olivier Hanotte
- Livestock Genetics, International Livestock Research Institute, Addis Ababa, Ethiopia
- Centre for Tropical Livestock Genetics and Health, International Livestock Research Institute, Addis Ababa, Ethiopia
- School of Life Sciences, University of Nottingham, Nottingham, UK
| |
Collapse
|
8
|
Wang H, Ge Y, Zhang L, Wei Y, Li Q, Zhang X, Pan Y. The Pigments in Eggshell with Different Color and the Pigment Regulatory Genes Expression in Corresponding Chicken’s Shell Gland. Animal 2023; 17:100776. [PMID: 37043933 DOI: 10.1016/j.animal.2023.100776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 03/02/2023] [Accepted: 03/06/2023] [Indexed: 03/17/2023] Open
Abstract
Eggshell colour is the unique appearance and economically valuable trait of eggs, whereas the colour is often short of uniformity, especially in the blue-shelled breeds, hence, their pigment differences and molecular mechanism need clarity. To investigate the relationship between the pigment content of eggshells and related gene expression in the eggshell glands of chickens, four subtypes of blue-shelled eggs ('Olive', 'Green', 'Blue', and 'Light') from the same blue-eggshell chicken line were selected; Hy-Line 'White' and 'Brown'-shelled eggs were used as control groups. The L*, a*, b* values, and protoporphyrin-IX and biliverdin contents in each group of eggshells were measured. In addition, the shell glands of the corresponding hens were collected to detect SLCO1B3 genotype and mRNA expression, and ABCG2 and HMOX1 transcription and protein expression. Eggshell colour L* values were negatively correlated with protoporphyrin-IX, b* values were positively correlated with total pigment content (P < 0.001), and a* values were positively correlated with protoporphyrin-IX (P < 0.001) but negatively with biliverdin. Moreover, all four blue-eggshell subtypes were SLCO1B3 homozygous, with SLCO1B3 mRNA expression in shell glands being significantly higher than in the White and Brown groups. ABCG2 and HMOX1 mRNA expression were highest in the Brown and Green groups, respectively (P < 0.05), and were positively correlated with protoporphyrin-IX (P < 0.001) and biliverdin contents in eggshells, respectively. Western blot and immunohistochemical results demonstrated that the Brown group had the highest ABCG2 expression (P < 0.05), followed by the Green and Olive groups. HMOX1 protein expression was higher in the Olive and Green groups (P < 0.05), and lowest in the White group. This study suggests that ABCG2 and HMOX1 have important regulatory roles in the production and transport of protoporphyrin-IX and biliverdin in blue-shelled chicken eggs, respectively.
Collapse
|
9
|
Smith J, Alfieri JM, Anthony N, Arensburger P, Athrey GN, Balacco J, Balic A, Bardou P, Barela P, Bigot Y, Blackmon H, Borodin PM, Carroll R, Casono MC, Charles M, Cheng H, Chiodi M, Cigan L, Coghill LM, Crooijmans R, Das N, Davey S, Davidian A, Degalez F, Dekkers JM, Derks M, Diack AB, Djikeng A, Drechsler Y, Dyomin A, Fedrigo O, Fiddaman SR, Formenti G, Frantz LA, Fulton JE, Gaginskaya E, Galkina S, Gallardo RA, Geibel J, Gheyas AA, Godinez CJP, Goodell A, Graves JA, Griffin DK, Haase B, Han JL, Hanotte O, Henderson LJ, Hou ZC, Howe K, Huynh L, Ilatsia E, Jarvis ED, Johnson SM, Kaufman J, Kelly T, Kemp S, Kern C, Keroack JH, Klopp C, Lagarrigue S, Lamont SJ, Lange M, Lanke A, Larkin DM, Larson G, Layos JKN, Lebrasseur O, Malinovskaya LP, Martin RJ, Martin Cerezo ML, Mason AS, McCarthy FM, McGrew MJ, Mountcastle J, Muhonja CK, Muir W, Muret K, Murphy TD, Ng'ang'a I, Nishibori M, O'Connor RE, Ogugo M, Okimoto R, Ouko O, Patel HR, Perini F, Pigozzi MI, Potter KC, Price PD, Reimer C, Rice ES, Rocos N, Rogers TF, Saelao P, Schauer J, Schnabel RD, Schneider VA, Simianer H, Smith A, et alSmith J, Alfieri JM, Anthony N, Arensburger P, Athrey GN, Balacco J, Balic A, Bardou P, Barela P, Bigot Y, Blackmon H, Borodin PM, Carroll R, Casono MC, Charles M, Cheng H, Chiodi M, Cigan L, Coghill LM, Crooijmans R, Das N, Davey S, Davidian A, Degalez F, Dekkers JM, Derks M, Diack AB, Djikeng A, Drechsler Y, Dyomin A, Fedrigo O, Fiddaman SR, Formenti G, Frantz LA, Fulton JE, Gaginskaya E, Galkina S, Gallardo RA, Geibel J, Gheyas AA, Godinez CJP, Goodell A, Graves JA, Griffin DK, Haase B, Han JL, Hanotte O, Henderson LJ, Hou ZC, Howe K, Huynh L, Ilatsia E, Jarvis ED, Johnson SM, Kaufman J, Kelly T, Kemp S, Kern C, Keroack JH, Klopp C, Lagarrigue S, Lamont SJ, Lange M, Lanke A, Larkin DM, Larson G, Layos JKN, Lebrasseur O, Malinovskaya LP, Martin RJ, Martin Cerezo ML, Mason AS, McCarthy FM, McGrew MJ, Mountcastle J, Muhonja CK, Muir W, Muret K, Murphy TD, Ng'ang'a I, Nishibori M, O'Connor RE, Ogugo M, Okimoto R, Ouko O, Patel HR, Perini F, Pigozzi MI, Potter KC, Price PD, Reimer C, Rice ES, Rocos N, Rogers TF, Saelao P, Schauer J, Schnabel RD, Schneider VA, Simianer H, Smith A, Stevens MP, Stiers K, Tiambo CK, Tixier-Boichard M, Torgasheva AA, Tracey A, Tregaskes CA, Vervelde L, Wang Y, Warren WC, Waters PD, Webb D, Weigend S, Wolc A, Wright AE, Wright D, Wu Z, Yamagata M, Yang C, Yin ZT, Young MC, Zhang G, Zhao B, Zhou H. Fourth Report on Chicken Genes and Chromosomes 2022. Cytogenet Genome Res 2023; 162:405-528. [PMID: 36716736 PMCID: PMC11835228 DOI: 10.1159/000529376] [Show More Authors] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 01/22/2023] [Indexed: 02/01/2023] Open
Affiliation(s)
- Jacqueline Smith
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - James M. Alfieri
- Interdisciplinary Program in Ecology and Evolutionary Biology, Texas A&M University, College Station, Texas, USA
- Department of Biology, Texas A&M University, College Station, Texas, USA
- Department of Poultry Science, Texas A&M University, College Station, Texas, USA
| | | | - Peter Arensburger
- Biological Sciences Department, California State Polytechnic University, Pomona, California, USA
| | - Giridhar N. Athrey
- Interdisciplinary Program in Ecology and Evolutionary Biology, Texas A&M University, College Station, Texas, USA
- Department of Poultry Science, Texas A&M University, College Station, Texas, USA
| | | | - Adam Balic
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Philippe Bardou
- Université de Toulouse, INRAE, ENVT, GenPhySE, Sigenae, Castanet Tolosan, France
| | | | - Yves Bigot
- PRC, UMR INRAE 0085, CNRS 7247, Centre INRAE Val de Loire, Nouzilly, France
| | - Heath Blackmon
- Interdisciplinary Program in Ecology and Evolutionary Biology, Texas A&M University, College Station, Texas, USA
- Department of Biology, Texas A&M University, College Station, Texas, USA
| | - Pavel M. Borodin
- Department of Molecular Genetics, Cell Biology and Bioinformatics, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russian Federation
| | - Rachel Carroll
- Department of Animal Sciences, Data Science and Informatics Institute, University of Missouri, Columbia, Missouri, USA
| | | | - Mathieu Charles
- University Paris-Saclay, INRAE, AgroParisTech, GABI, Sigenae, Jouy-en-Josas, France
| | - Hans Cheng
- USDA, ARS, USNPRC, Avian Disease and Oncology Laboratory, East Lansing, Michigan, USA
| | | | | | - Lyndon M. Coghill
- Department of Veterinary Pathology, University of Missouri, Columbia, Missouri, USA
| | - Richard Crooijmans
- Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands
| | | | - Sean Davey
- University of Arizona, Tucson, Arizona, USA
| | - Asya Davidian
- Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Fabien Degalez
- Centre for Tropical Livestock Genetics and Health (CTLGH) − ILRI, Nairobi, Kenya
| | - Jack M. Dekkers
- Department of Animal Science, University of California, Davis, California, USA
- INRAE, MIAT UR875, Sigenae, Castanet Tolosan, France
| | - Martijn Derks
- Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands
| | - Abigail B. Diack
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Appolinaire Djikeng
- Department of Molecular Microbiology and Immunology, University of Missouri, Columbia, Missouri, USA
| | | | - Alexander Dyomin
- Saint Petersburg State University, Saint Petersburg, Russian Federation
| | | | | | | | - Laurent A.F. Frantz
- Queen Mary University of London, Bethnal Green, London, UK
- Palaeogenomics Group, Department of Veterinary Sciences, LMU Munich, Munich, Germany
| | - Janet E. Fulton
- Hy-Line International, Research and Development, Dallas Center, Iowa, USA
| | - Elena Gaginskaya
- Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Svetlana Galkina
- Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Rodrigo A. Gallardo
- School of Veterinary Medicine, University of California, Davis, California, USA
- Department of Animal Science, University of California, Davis, California, USA
| | - Johannes Geibel
- Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, Neustadt, Germany
- Center for Integrated Breeding Research, University of Göttingen, Göttingen, Germany
| | - Almas A. Gheyas
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Cyrill John P. Godinez
- Department of Animal Science, College of Agriculture and Food Science, Visayas State University, Baybay City, Philippines
| | | | - Jennifer A.M. Graves
- Department of Environment and Genetics, La Trobe University, Melbourne, Victoria, Australia
- Institute for Applied Ecology, University of Canberra, Canberra, Australian Capital Territory, Australia
| | | | | | - Jian-Lin Han
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia
| | - Olivier Hanotte
- International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia
- Cells, Organisms and Molecular Genetics, School of Life Sciences, University of Nottingham, Nottingham, UK
- Centre for Tropical Livestock Genetics and Health, The Roslin Institute, Edinburgh, UK
| | - Lindsay J. Henderson
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Zhuo-Cheng Hou
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | | | - Lan Huynh
- Institute for Immunology and Infection Research, University of Edinburgh, Edinburgh, UK
| | - Evans Ilatsia
- Dairy Research Institute, Kenya Agricultural and Livestock Organization, Naivasha, Kenya
| | | | | | - Jim Kaufman
- Institute for Immunology and Infection Research, University of Edinburgh, Edinburgh, UK
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Terra Kelly
- School of Veterinary Medicine, University of California, Davis, California, USA
- Department of Animal Science, University of California, Davis, California, USA
| | - Steve Kemp
- INRAE, INSTITUT AGRO, PEGASE UMR 1348, Saint-Gilles, France
| | - Colin Kern
- Feed the Future Innovation Lab for Genomics to Improve Poultry, University of California, Davis, California, USA
| | | | - Christophe Klopp
- Department of Animal Science, Iowa State University, Ames, Iowa, USA
| | - Sandrine Lagarrigue
- Centre for Tropical Livestock Genetics and Health (CTLGH) − ILRI, Nairobi, Kenya
| | - Susan J. Lamont
- Department of Animal Science, University of California, Davis, California, USA
- INRAE, MIAT UR875, Sigenae, Castanet Tolosan, France
| | - Margaret Lange
- Centre for Tropical Livestock Genetics and Health (CTLGH) − The Roslin Institute, Edinburgh, UK
| | - Anika Lanke
- College of Veterinary Medicine, Western University of Health Sciences, Pomona, California, USA
| | - Denis M. Larkin
- Department of Comparative Biomedical Sciences, Royal Veterinary College, University of London, London, UK
| | - Greger Larson
- The Palaeogenomics and Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, The University of Oxford, Oxford, UK
| | - John King N. Layos
- College of Agriculture and Forestry, Capiz State University, Mambusao, Philippines
| | - Ophélie Lebrasseur
- Centre d'Anthropobiologie et de Génomique de Toulouse (CAGT), CNRS UMR 5288, Université Toulouse III Paul Sabatier, Toulouse, France
- Instituto Nacional de Antropología y Pensamiento Latinoamericano, Ciudad Autónoma de Buenos Aires, Argentina
| | - Lyubov P. Malinovskaya
- Department of Cytology and Genetics, Novosibirsk State University, Novosibirsk, Russian Federation
| | - Rebecca J. Martin
- Saint Petersburg State University, Saint Petersburg, Russian Federation
| | | | | | | | - Michael J. McGrew
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
- Department of Molecular Microbiology and Immunology, University of Missouri, Columbia, Missouri, USA
| | | | - Christine Kamidi Muhonja
- Department of Veterinary Pathology, University of Missouri, Columbia, Missouri, USA
- Centre for Tropical Livestock Genetics and Health (CTLGH) − ILRI, Nairobi, Kenya
| | - William Muir
- Department of Animal Sciences, Purdue University, West Lafayette, Indiana, USA
| | - Kévin Muret
- Université Paris-Saclay, Commissariat à l'Energie Atomique et aux Energies Alternatives, Centre National de Recherche en Génomique Humaine, Evry, France
| | - Terence D. Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Masahide Nishibori
- Laboratory of Animal Genetics, Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, Japan
| | | | - Moses Ogugo
- Centre for Tropical Livestock Genetics and Health (CTLGH) − ILRI, Nairobi, Kenya
| | - Ron Okimoto
- Cobb-Vantress, Siloam Springs, Arkansas, USA
| | - Ochieng Ouko
- Department of Veterinary Pathology, University of Missouri, Columbia, Missouri, USA
| | - Hardip R. Patel
- The John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Francesco Perini
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
- Department of Agricultural, Food and Environmental Sciences, University of Perugia, Perugia, Italy
| | - María Ines Pigozzi
- INBIOMED (CONICET-UBA), Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina
| | | | - Peter D. Price
- Ecology and Evolutionary Biology, School of Biosciences, University of Sheffield, Sheffield, UK
| | - Christian Reimer
- Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, Neustadt, Germany
| | - Edward S. Rice
- Department of Animal Sciences, Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
| | - Nicolas Rocos
- USDA, ARS, USNPRC, Avian Disease and Oncology Laboratory, East Lansing, Michigan, USA
| | - Thea F. Rogers
- Department of Molecular Evolution and Development, University of Vienna, Vienna, Austria
| | - Perot Saelao
- Department of Animal Science, University of California, Davis, California, USA
- Veterinary Pest Genetics Research Unit, USDA, Kerrville, Texas, USA
| | - Jens Schauer
- Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, Neustadt, Germany
| | - Robert D. Schnabel
- Department of Animal Sciences, University of Missouri, Columbia, Missouri, USA
| | - Valerie A. Schneider
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
| | - Henner Simianer
- Center for Integrated Breeding Research, University of Göttingen, Göttingen, Germany
| | - Adrian Smith
- Department of Zoology, University of Oxford, Oxford, UK
| | - Mark P. Stevens
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Kyle Stiers
- Department of Veterinary Pathology, University of Missouri, Columbia, Missouri, USA
| | | | | | - Anna A. Torgasheva
- Department of Molecular Genetics, Cell Biology and Bioinformatics, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russian Federation
| | - Alan Tracey
- University Paris-Saclay, INRAE, AgroParisTech, GABI, Sigenae, Jouy-en-Josas, France
| | - Clive A. Tregaskes
- Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands
- Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Lonneke Vervelde
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Ying Wang
- Department of Animal Science, University of California, Davis, California, USA
| | - Wesley C. Warren
- Department of Animal Sciences, Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
- Department of Animal Sciences, University of Missouri, Columbia, Missouri, USA
| | - Paul D. Waters
- School of Biotechnology and Biomolecular Science, Faculty of Science, UNSW Sydney, Sydney, New South Wales, Australia
| | - David Webb
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
| | - Steffen Weigend
- Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, Neustadt, Germany
- Center for Integrated Breeding Research, University of Göttingen, Göttingen, Germany
| | - Anna Wolc
- INRAE, MIAT UR875, Sigenae, Castanet Tolosan, France
- Hy-Line International, Research and Development, Dallas Center, Iowa, USA
| | - Alison E. Wright
- Ecology and Evolutionary Biology, School of Biosciences, University of Sheffield, Sheffield, UK
| | - Dominic Wright
- AVIAN Behavioural Genomics and Physiology, IFM Biology, Linköping University, Linköping, Sweden
| | - Zhou Wu
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Masahito Yamagata
- Center for Brain Science, Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts, USA
| | | | - Zhong-Tao Yin
- Department of Animal Sciences, Data Science and Informatics Institute, University of Missouri, Columbia, Missouri, USA
| | | | - Guojie Zhang
- Center for Evolutionary and Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China
| | - Bingru Zhao
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Huaijun Zhou
- Department of Animal Science, University of California, Davis, California, USA
| |
Collapse
|
10
|
Mo G, Wei P, Hu B, Nie Q, Zhang X. Advances on genetic and genomic studies of ALV resistance. J Anim Sci Biotechnol 2022; 13:123. [PMID: 36217167 PMCID: PMC9550310 DOI: 10.1186/s40104-022-00769-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 08/14/2022] [Indexed: 12/01/2022] Open
Abstract
Avian leukosis (AL) is a general term for a variety of neoplastic diseases in avian caused by avian leukosis virus (ALV). No vaccine or drug is currently available for the disease. Therefore, the disease can result in severe economic losses in poultry flocks. Increasing the resistance of poultry to ALV may be one effective strategy. In this review, we provide an overview of the roles of genes associated with ALV infection in the poultry genome, including endogenous retroviruses, virus receptors, interferon-stimulated genes, and other immune-related genes. Furthermore, some methods and techniques that can improve ALV resistance in poultry are discussed. The objectives are willing to provide some valuable references for disease resistance breeding in poultry.
Collapse
Affiliation(s)
- Guodong Mo
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China.,State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, China
| | - Ping Wei
- Institute for Poultry Science and Health, Guangxi University, Nanning, 530001, Guangxi, China
| | - Bowen Hu
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China.,State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, China
| | - Qinghua Nie
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China.,State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, China
| | - Xiquan Zhang
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China. .,Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China. .,State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, China.
| |
Collapse
|
11
|
A new molecular mechanism supports that blue-greenish egg color evolved independently across chicken breeds. Poult Sci 2022; 101:102223. [PMID: 36283143 PMCID: PMC9597111 DOI: 10.1016/j.psj.2022.102223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 08/08/2022] [Accepted: 09/29/2022] [Indexed: 11/21/2022] Open
Abstract
Chicken blue-greenish coloration (BGC) was known as a classic Mendel trait caused by a retrovirus (EAV-HP) insertion in the SLCO1B3 gene. Lueyang black-boned chicken (LBC) BGC is light and varies continuously, implying that LBC BGC may be controlled by a new molecular mechanism. The aim of this study was to provide an insight into the molecular basis of LBC BGC. The EAV-HP was detected in the BGC (n = 105) and non-BGC LBC (n = 474) using a PCR-based method. The association of SLCO1B3 expression in shell glands and sequence variants in a 1.6-kb region upstream from the transcription start site of SLCO1B3 with eggshell color and biliverdin (pigment for BGC) concentration was studied. Promoter activities of haplotypes in the 1.6-kb region were analyzed by luciferase reporter assay. This study did not found the EAV-HP in BGC and Non-BGC LBC, but detected a strong positive correlation between levels of SLCO1B3 expression in shell glands and biliverdin concentrations. A total of 31 SNP were found in the 1.6-kb region. Twenty-two of 31 SNP formed 42 types of haplotypes in the re-sequenced samples (n = 94). Haplotype 4 was present in higher frequency in the BGC (52%) than Non-BGC (3%). Haplotype 13 was significantly associated with Non-BGC (Non-BGC vs. BGC = 26% vs. 6%). In line with the above associations, Haplotype 4 showed higher (P < 0.05) levels of SLCO1B3 expression in shell glands, biliverdin concentration, and promoter activity than Haplotype 13. This study confirms that LBC BGC is not caused by the EAV-HP, but remains to be associated with the change of SLCO1B3 expression. Haplotype 4 accounts to some extents for the molecular basis of LBC BGC. The new molecular mechanism supports LBC BGC independently evolved.
Collapse
|
12
|
Altgilbers S, Dierks C, Klein S, Weigend S, Kues WA. Quantitative analysis of CRISPR/Cas9-mediated provirus deletion in blue egg layer chicken PGCs by digital PCR. Sci Rep 2022; 12:15587. [PMID: 36114266 PMCID: PMC9481566 DOI: 10.1038/s41598-022-19861-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 09/06/2022] [Indexed: 11/08/2022] Open
Abstract
Primordial germ cells (PGCs), the precursors of sperm and oocytes, pass on the genetic material to the next generation. The previously established culture system of chicken PGCs holds many possibilities for functional genomics studies and the rapid introduction of desired traits. Here, we established a CRISPR/Cas9-mediated genome editing protocol for the genetic modification of PGCs derived from chickens with blue eggshell color. The sequence targeted in the present report is a provirus (EAV-HP) insertion in the 5'-flanking region of the SLCO1B3 gene on chromosome 1 in Araucana chickens, which is supposedly responsible for the blue eggshell color. We designed pairs of guide RNAs (gRNAs) targeting the entire 4.2 kb provirus region. Following transfection of PGCs with the gRNA, genomic DNA was isolated and analyzed by mismatch cleavage assay (T7EI). For absolute quantification of the targeting efficiencies in homozygous blue-allele bearing PGCs a digital PCR was established, which revealed deletion efficiencies of 29% when the wildtype Cas9 was used, and 69% when a high-fidelity Cas9 variant was employed. Subsequent single cell dilutions of edited PGCs yielded 14 cell clones with homozygous deletion of the provirus. A digital PCR assay proved the complete absence of this provirus in cell clones. Thus, we demonstrated the high efficiency of the CRISPR/Cas9 system in introducing a large provirus deletion in chicken PGCs. Our presented workflow is a cost-effective and rapid solution for screening the editing success in transfected PGCs.
Collapse
Affiliation(s)
- Stefanie Altgilbers
- Department of Biotechnology, Stem Cell Physiology, Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, 31535, Neustadt, Germany.
| | - Claudia Dierks
- Department of Breeding and Genetic Resources, Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, 31535, Neustadt, Germany
| | - Sabine Klein
- Department of Biotechnology, Stem Cell Physiology, Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, 31535, Neustadt, Germany
| | - Steffen Weigend
- Department of Breeding and Genetic Resources, Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, 31535, Neustadt, Germany
| | - Wilfried A Kues
- Department of Biotechnology, Stem Cell Physiology, Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, 31535, Neustadt, Germany
| |
Collapse
|
13
|
Kelly CJ, Chitko-McKown CG, Chuong EB. Ruminant-specific retrotransposons shape regulatory evolution of bovine immunity. Genome Res 2022; 32:1474-1486. [PMID: 35948370 PMCID: PMC9435751 DOI: 10.1101/gr.276241.121] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 05/05/2022] [Indexed: 02/03/2023]
Abstract
Cattle are an important livestock species, and mapping the genomic architecture of agriculturally relevant traits such as disease susceptibility is a major challenge in the bovine research community. Lineage-specific transposable elements (TEs) are increasingly recognized to contribute to gene regulatory evolution and variation, but this possibility has been largely unexplored in ruminant genomes. We conducted epigenomic profiling of the type II interferon (IFN) response in bovine cells and found thousands of ruminant-specific TEs including MER41_BT and Bov-A2 elements predicted to act as IFN-inducible enhancer elements. CRISPR knockout experiments in bovine cells established that critical immune factors including IFNAR2 and IL2RB are transcriptionally regulated by TE-derived enhancers. Finally, population genomic analysis of 38 individuals revealed that a subset of polymorphic TE insertions may function as enhancers in modern cattle. Our study reveals that lineage-specific TEs have shaped the evolution of ruminant IFN responses and potentially continue to contribute to immune gene regulatory differences across modern breeds and individuals. Together with previous work in human cells, our findings demonstrate that lineage-specific TEs have been independently co-opted to regulate IFN-inducible gene expression in multiple species, supporting TE co-option as a recurrent mechanism driving the evolution of IFN-inducible transcriptional networks.
Collapse
Affiliation(s)
- Conor J Kelly
- Department of Molecular, Cellular, and Developmental Biology and BioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado 80309, USA
| | - Carol G Chitko-McKown
- USDA, ARS, Roman L. Hruska US Meat Animal Research Center (MARC), Clay Center, Nebraska 68933, USA
| | - Edward B Chuong
- Department of Molecular, Cellular, and Developmental Biology and BioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado 80309, USA
| |
Collapse
|
14
|
Uterus-specific transcriptional regulation underlies eggshell pigment production in Japanese quail. PLoS One 2022; 17:e0265008. [PMID: 35271636 PMCID: PMC8912178 DOI: 10.1371/journal.pone.0265008] [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: 10/04/2021] [Accepted: 02/22/2022] [Indexed: 11/26/2022] Open
Abstract
The precursor of heme, protoporphyrin IX (PPIX), accumulates abundantly in the uteri of birds, such as Japanese quail, Coturnix japonica, which has brown-speckled eggshells; however, the molecular basis of PPIX production in the uterus remains largely unknown. Here, we investigated the cause of low PPIX production in a classical Japanese quail mutant exhibiting white eggshells by comparing its gene expression in the uterus with that of the wild type using transcriptome analysis. We also performed genetic linkage analysis to identify the causative genomic region of the white eggshell phenotype. We found that 11 genes, including 5’-aminolevulinate synthase 1 (ALAS1) and hephaestin-like 1 (HEPHL1), were specifically upregulated in the wild-type uterus and downregulated in the mutant. We mapped the 172 kb candidate genomic region on chromosome 6, which contains several genes, including a part of the paired-like homeodomain 3 (PITX3), which encodes a transcription factor. ALAS1, HEPHL1, and PITX3 were expressed in the apical cells of the luminal epithelium and lamina propria cells of the uterine mucosa of the wild-type quail, while their expression levels were downregulated in the cells of the mutant quail. Biochemical analysis using uterine homogenates indicated that the restricted availability of 5’-aminolevulinic acid is the main cause of low PPIX production. These results suggest that uterus-specific transcriptional regulation of heme-biosynthesis-related genes is an evolutionarily acquired mechanism of eggshell pigment production in Japanese quail. Based on these findings, we discussed the molecular basis of PPIX production in the uteri of Japanese quails.
Collapse
|
15
|
Birkhead TR. As rare as hen’s teeth: aberrantly coloured eggs of the northern lapwing ( Vanellus vanellus) and the interface between oology and ornithology. THE EUROPEAN ZOOLOGICAL JOURNAL 2022. [DOI: 10.1080/24750263.2022.2029588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
|
16
|
Nishimura K, Ijiri D, Shimamoto S, Takaya M, Ohtsuka A, Goto T. Genetic effect on free amino acid contents of egg yolk and albumen using five different chicken genotypes under floor rearing system. PLoS One 2021; 16:e0258506. [PMID: 34624067 PMCID: PMC8500412 DOI: 10.1371/journal.pone.0258506] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 09/28/2021] [Indexed: 01/24/2023] Open
Abstract
Chicken eggs play an important role as food resources in the world. Although genetic effects on yolk and albumen contents have been reported, the number of chicken genotypes analyzed so far is still limited. To investigate the effect of genetic background on 10 egg traits, 19 yolk amino acid traits, and 19 albumen amino acid traits, we evaluated a total of 58 eggs from five genotypes: two Japanese indigenous breeds (Ukokkei and Nagoya) and three hybrids (Araucana cross, Kurohisui, and Boris Brown) under a floor rearing system. One-way ANOVA revealed significant effects of genotype on 10 egg traits, 8 yolk amino acids (Asp, Glu, Ser, Gly, Thr, Tyr, Cys, and Leu), and 11 albumen amino acids (Asp, Glu, Asn, Ser, Gln, His, Ala, Tyr, Trp, Phe, and Ile) contents. Moderate to strong positive phenotypic correlations among traits within each trait category (size and weight traits, yolk amino acid traits, and albumen amino acid traits), whereas there were basically no or weak correlations among the trait categories. However, a unique feature was found in the Araucana cross indicating moderate positive correlations of amino acids between yolk and albumen. These results suggest that genetic factors can modify not only the size and weight of the egg and eggshell color but also yolk and albumen free amino acids contents.
Collapse
Affiliation(s)
- Kenji Nishimura
- Department of Life and Food Science, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido, Japan
| | - Daichi Ijiri
- Department of Biochemical Science and Technology, Kagoshima University, Korimoto, Kagoshima, Japan
| | - Saki Shimamoto
- Department of Biochemical Science and Technology, Kagoshima University, Korimoto, Kagoshima, Japan
- Graduate School of Science and Technology, Niigata University, Niigata, Japan
| | - Masahiro Takaya
- Department of Life and Food Science, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido, Japan
- Hokkaido Tokachi Area Regional Food Processing Technology Center, Tokachi Foundation, Obihiro, Japan
| | - Akira Ohtsuka
- Department of Biochemical Science and Technology, Kagoshima University, Korimoto, Kagoshima, Japan
| | - Tatsuhiko Goto
- Department of Life and Food Science, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido, Japan
- Research Center for Global Agromedicine, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido, Japan
| |
Collapse
|
17
|
Price-Waldman R, Stoddard MC. Avian Coloration Genetics: Recent Advances and Emerging Questions. J Hered 2021; 112:395-416. [PMID: 34002228 DOI: 10.1093/jhered/esab015] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 03/22/2021] [Indexed: 11/13/2022] Open
Abstract
The colorful phenotypes of birds have long provided rich source material for evolutionary biologists. Avian plumage, beaks, skin, and eggs-which exhibit a stunning range of cryptic and conspicuous forms-inspired early work on adaptive coloration. More recently, avian color has fueled discoveries on the physiological, developmental, and-increasingly-genetic mechanisms responsible for phenotypic variation. The relative ease with which avian color traits can be quantified has made birds an attractive system for uncovering links between phenotype and genotype. Accordingly, the field of avian coloration genetics is burgeoning. In this review, we highlight recent advances and emerging questions associated with the genetic underpinnings of bird color. We start by describing breakthroughs related to 2 pigment classes: carotenoids that produce red, yellow, and orange in most birds and psittacofulvins that produce similar colors in parrots. We then discuss structural colors, which are produced by the interaction of light with nanoscale materials and greatly extend the plumage palette. Structural color genetics remain understudied-but this paradigm is changing. We next explore how colors that arise from interactions among pigmentary and structural mechanisms may be controlled by genes that are co-expressed or co-regulated. We also identify opportunities to investigate genes mediating within-feather micropatterning and the coloration of bare parts and eggs. We conclude by spotlighting 2 research areas-mechanistic links between color vision and color production, and speciation-that have been invigorated by genetic insights, a trend likely to continue as new genomic approaches are applied to non-model species.
Collapse
|
18
|
Wang X, Chen Z, Murani E, D'Alessandro E, An Y, Chen C, Li K, Galeano G, Wimmers K, Song C. A 192 bp ERV fragment insertion in the first intron of porcine TLR6 may act as an enhancer associated with the increased expressions of TLR6 and TLR1. Mob DNA 2021; 12:20. [PMID: 34407874 PMCID: PMC8375133 DOI: 10.1186/s13100-021-00248-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Accepted: 07/23/2021] [Indexed: 12/20/2022] Open
Abstract
Background Toll-like receptors (TLRs) play important roles in building innate immune and inducing adaptive immune responses. Associations of the TLR genes polymorphisms with disease susceptibility, which are the basis of molecular breeding for disease resistant animals, have been reported extensively. Retrotransposon insertion polymorphisms (RIPs), as a new type of molecular markers developed recently, have great potential in population genetics and quantitative trait locus mapping. In this study, bioinformatic prediction combined with PCR-based amplification was employed to screen for RIPs in porcine TLR genes. Their population distribution was examined, and for one RIP the impact on gene activity and phenotype was further evaluated. Results Five RIPs, located at the 3' flank of TLR3, 5' flank of TLR5, intron 1 of TLR6, intron 1 of TLR7, and 3' flank of TLR8 respectively, were identified. These RIPs were detected in different breeds with an uneven distribution among them. By using the dual luciferase activity assay a 192 bp endogenous retrovirus (ERV) in the intron 1 of TLR6 was shown to act as an enhancer increasing the activities of TLR6 putative promoter and two mini-promoters. Furthermore, real-time quantitative polymerase chain reaction (qPCR) analysis revealed significant association (p < 0.05) of the ERV insertion with increased mRNA expression of TLR6, the neighboring gene TLR1, and genes downstream in the TLR signaling pathway such as MyD88 (Myeloid differentiation factor 88), Rac1 (Rac family small GTPase 1), TIRAP (TIR domain containing adaptor protein), Tollip (Toll interacting protein) as well as the inflammatory factors IL6 (Interleukin 6), IL8 (Interleukin 8), and TNFα (Tumor necrosis factor alpha) in tissues of 30 day-old piglet. In addition, serum IL6 and TNFα concentrations were also significantly upregulated by the ERV insertion (p < 0.05). Conclusions A total of five RIPs were identified in five different TLR loci. The 192 bp ERV insertion in the first intron of TLR6 was associated with higher expression of TLR6, TLR1, and several genes downstream in the signaling cascade. Thus, the ERV insertion may act as an enhancer affecting regulation of the TLR signaling pathways, and can be potentially applied in breeding of disease resistant animals. Supplementary Information The online version contains supplementary material available at 10.1186/s13100-021-00248-w.
Collapse
Affiliation(s)
- XiaoYan Wang
- College of Animal Science & Technology, Yangzhou University, Yangzhou, 225009, Jiangsu, China
| | - Zixuan Chen
- College of Animal Science & Technology, Yangzhou University, Yangzhou, 225009, Jiangsu, China
| | - Eduard Murani
- Leibniz Institute for Farm Animal Biology (FBN), 18196, Dummerstorf, Germany
| | - Enrico D'Alessandro
- Department of Veterinary Science, Unit of Animal Production, University of Messina, 98168, Messina, Italy
| | - Yalong An
- College of Animal Science & Technology, Yangzhou University, Yangzhou, 225009, Jiangsu, China
| | - Cai Chen
- College of Animal Science & Technology, Yangzhou University, Yangzhou, 225009, Jiangsu, China
| | - Kui Li
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100081, Beijing, China
| | - Grazia Galeano
- Department of Veterinary Science, Unit of Animal Production, University of Messina, 98168, Messina, Italy
| | - Klaus Wimmers
- Leibniz Institute for Farm Animal Biology (FBN), 18196, Dummerstorf, Germany
| | - Chengyi Song
- College of Animal Science & Technology, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
| |
Collapse
|
19
|
Altgilbers S, Klein S, Dierks C, Weigend S, Kues WA. Cultivation and characterization of primordial germ cells from blue layer hybrids (Araucana crossbreeds) and generation of germline chimeric chickens. Sci Rep 2021; 11:12923. [PMID: 34155221 PMCID: PMC8217269 DOI: 10.1038/s41598-021-91490-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 05/21/2021] [Indexed: 11/29/2022] Open
Abstract
The chicken (Gallus gallus) is one of the most common and widespread domestic species, with an estimated total population of 25 billion birds worldwide. The vast majority of chickens in agriculture originate from hybrid breeding programs and is concentrated on few commercially used high performance lines, whereas numerous local and indigenous breeds are at risk to become extinct. To preserve the genomic resources of rare and endangered chicken breeds innovative methods are necessary. Here, we established a solid workflow for the derivation and biobanking of chicken primordial germ cells (PGCs) from blue layer hybrids. To achieve this, embryos of a cross of heterozygous blue egg layers were sampled to obtain blood derived and gonadal male as well as female PGCs of different genotypes (homozygous, heterozygous and nullizygous blue-allele bearing). The total efficiency of established PGC lines was 45% (47/104) within an average of 49 days until they reached sufficient numbers of cells for cryopreservation. The stem-cell character of the cultivated PGCs was confirmed by SSEA-1 immunostaining, and RT-PCR amplification of the pluripotency- and PGC-specific genes cPOUV, cNANOG, cDAZL and CVH. The Sleeping Beauty transposon system allowed to generate a stable integration of a Venus fluorophore reporter into the chicken genome. Finally, we demonstrated that, after re-transfer into chicken embryos, Venus-positive PGCs migrated and colonized the forming gonads. Semen samples of 13 raised cell chimeric roosters were analyzed by flow cytometry for the efficiency of germline colonization by the transferred PGCs carrying the Venus reporter and their proper differentiation into vital spermatids. Thus, we provide a proof-of-concept study for the potential use of PGCs for the cryobanking of rare breeds or rare alleles.
Collapse
Affiliation(s)
- Stefanie Altgilbers
- Department of Biotechnology, Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, 31535, Neustadt, Germany
| | - Sabine Klein
- Department of Biotechnology, Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, 31535, Neustadt, Germany
| | - Claudia Dierks
- Department of Genetic Ressources, Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, 31535, Neustadt, Germany
| | - Steffen Weigend
- Department of Genetic Ressources, Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, 31535, Neustadt, Germany
| | - Wilfried A Kues
- Department of Biotechnology, Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, 31535, Neustadt, Germany.
| |
Collapse
|
20
|
Lawal RA, Hanotte O. Domestic chicken diversity: Origin, distribution, and adaptation. Anim Genet 2021; 52:385-394. [PMID: 34060099 DOI: 10.1111/age.13091] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/07/2021] [Indexed: 12/13/2022]
Abstract
Chicken is the most numerous among the domesticated livestock species. Across cultures, religions, and societies, chicken is widely accepted with little or no taboo compared to other domestic animals. Its adaptability to diverse environmental conditions and demonstrated potential for breeding improvement provide a unique genetic resource for addressing the challenges of food security in a world impacted by climatic change and human population growth. Recent studies, shedding new knowledge on the chicken genomes, have helped reconstruct its past evolutionary history. Here, we review the literature concerning the origin, dispersion, and adaptation of domestic chicken. We highlight the role of human and natural selection in shaping the diversity of the species and provide a few examples of knowledge gaps that may be the focus of future research.
Collapse
Affiliation(s)
- R A Lawal
- Cells, Organisms and Molecular Genetics, School of Life Sciences, University of Nottingham, Nottingham, NG7 2RD, UK.,The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA
| | - O Hanotte
- Cells, Organisms and Molecular Genetics, School of Life Sciences, University of Nottingham, Nottingham, NG7 2RD, UK.,Centre for Tropical Livestock Genetics and Health, The Roslin Institute, Edinburgh, EH25 9RG, UK.,LiveGene, International Livestock Research Institute (ILRI), P.O. 5689, Addis Ababa, Ethiopia
| |
Collapse
|
21
|
An EAV-HP insertion in the promoter region of SLCO1B3 has pleiotropic effects on chicken liver metabolism based on the transcriptome and proteome analysis. Sci Rep 2021; 11:7571. [PMID: 33828143 PMCID: PMC8026973 DOI: 10.1038/s41598-021-87054-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Accepted: 03/23/2021] [Indexed: 02/01/2023] Open
Abstract
Solute carrier organic anion transporter 1B3 (SLCO1B3) is an important liver primarily highly expressed gene, its encoded protein (OATP1B3) involved in the transport of multi-specific endogenous and exogenous substances. We previously reported that an EAV-HP inserted mutation (IM+) in the 5' flanking region of SLCO1B3 was the causative mutation of chicken blue eggs, and a further research showed that IM+ significantly reduced the expression of SLCO1B3 in liver. Herein, we confirmed a cholate response element (IR-1) played an important role in activating SLCO1B3 and in vitro experiments showed that the activation of IR-1 can be significantly reduced by the EAV-HP IM+ . We performed transcriptome and proteomic analysis using the same set of IM+ and IM- liver tissues from Yimeng hens (a Chinese indigenous breed) to study the effect of SLCO1B3 and OATP1B3 expression reduction on chicken liver function. The results showed that common differential expression pathways were screened out from both transcriptome and proteome, in which fatty acid metabolism and drug metabolism-cytochrome P450 were significantly enriched in the KEGG analysis. The lipid-related metabolism was weakened in IM+ group, which was validated by serum biochemical assay. We unexpectedly found that EAV-HP fragment was highly expressed in the liver of the IM+ chickens. We cloned the EAV-HP full-length transcript and obtained the complete open reading frame. It is worth noting that there was some immune related differential expressed genes, such as NFKBIZ, NFKBIA, and IL1RL1, which were higher expressed in the IM+ group, which may due to the high expression of EAV-HP. Our study showed that EAV-HP IM+ reduced the expression of SLCO1B3 in liver, resulting in the decrease of fatty metabolism and exogenous substance transport capacity. The mutation itself also expressed in the liver and may be involved in the immune process. The mechanism needs further study.
Collapse
|
22
|
Fulton JE, Mason AS, Wolc A, Arango J, Settar P, Lund AR, Burt DW. The impact of endogenous Avian Leukosis Viruses (ALVE) on production traits in elite layer lines. Poult Sci 2021; 100:101121. [PMID: 33975038 PMCID: PMC8131724 DOI: 10.1016/j.psj.2021.101121] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 01/26/2021] [Accepted: 02/26/2021] [Indexed: 11/28/2022] Open
Abstract
Avian Leukosis Virus subgroup E (ALVE) integrations are endogenous retroviral elements found in the chicken genome. The presence of ALVE has been reported to have negative impacts on multiple traits, including egg production and body weight. The recent development of rapid, inexpensive and specific ALVE detection methods has facilitated their characterization in elite commercial egg production lines across multiple generations. The presence of 20 ALVE was examined in 8 elite lines, from 3 different breeds. Seventeen of these ALVE (85%) were informative and found to be segregating in at least one of the lines. To test for an association between specific ALVE inserts and traits, a large genotype by phenotype study was undertaken. Genotypes were obtained for 500 to 1500 males per line, and the phenotypes used were sire-daughter averages. Phenotype data were analyzed by line with a linear model that included the effects of generation, ALVE genotype and their interaction. If genotype effect was significant, the number of ALVE copies was fitted as a regression to estimate additive ALVE gene substitution effect. Significant associations between the presence of specific ALVE inserts and 18 commercially relevant performance and egg quality traits, including egg production, egg weight and albumen height, were observed. When an ALVE was segregating in more than one line, these associations did not always have the same impact (negative, positive or none) in each line. It is hypothesized that the presence of ALVE in the chicken genome may influence production traits by 3 mechanisms: viral protein production may modulate the immune system and impact overall production performance (virus effect); insertional mutagenesis caused by viral integration may cause direct gene alterations or affect gene regulation (gene effect); or the integration site may be within or adjacent to a quantitative trait region which impacts a performance trait (linkage disequilibrium, marker effect).
Collapse
Affiliation(s)
- Janet E Fulton
- Department of Research and Development, Hy-Line International, Dallas Center, IA 50063, USA.
| | - Andrew S Mason
- Jack Birch Unit for Molecular Carcinogenesis, Department of Biology and The York Biomedical Research Institute, The University of York, York, YO10 5DD, United Kingdom
| | - Anna Wolc
- Department of Research and Development, Hy-Line International, Dallas Center, IA 50063, USA; Department of Animal Science, Iowa State University, Ames, IA 50011, USA
| | - Jesus Arango
- Department of Research and Development, Hy-Line International, Dallas Center, IA 50063, USA
| | - Petek Settar
- Department of Research and Development, Hy-Line International, Dallas Center, IA 50063, USA
| | - Ashlee R Lund
- Department of Research and Development, Hy-Line International, Dallas Center, IA 50063, USA
| | - David W Burt
- The University of Queensland, Brisbane, Queensland, 4072, Australia
| |
Collapse
|
23
|
Liu H, Hu J, Guo Z, Fan W, Xu Y, Liang S, Liu D, Zhang Y, Xie M, Tang J, Huang W, Zhang Q, Xi Y, Li Y, Wang L, Ma S, Jiang Y, Feng Y, Wu Y, Cao J, Zhou Z, Hou S. A single nucleotide polymorphism variant located in the cis-regulatory region of the ABCG2 gene is associated with mallard egg colour. Mol Ecol 2021; 30:1477-1491. [PMID: 33372351 DOI: 10.1111/mec.15785] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 12/01/2020] [Accepted: 12/15/2020] [Indexed: 12/30/2022]
Abstract
Avian egg coloration is shaped by natural selection, but its genetic basis remains unclear. Here, we used genome-wide association analysis and identity by descent to finely map green egg colour to a 179-kb region of Chr4 based on the resequencing of 352 ducks (Anas platyrhynchos) from a segregating population resulting from the mating of Pekin ducks (white-shelled eggs) and mallards (green-shelled eggs). We further narrowed the candidate region to a 30-kb interval by comparing genome divergence in seven indigenous duck populations. Among the genes located in the finely mapped region, only one transcript of the ABCG2 gene (XM_013093252.2) exhibited higher uterine expression in green-shelled individuals than in white-shelled individuals, as supported by transcriptome data from four populations. ABCG2 has been reported to encode a protein that functions as a membrane transporter for biliverdin. Sanger sequencing of the whole 30-kb candidate region (Chr4: 47.41-47.44 Mb) and a plasmid reporter assay helped to identify a single nucleotide polymorphism (Chr4: 47,418,074 G>A) located in a conserved predicted promoter region whose variation may alter ABCG2 transcription activity. We provide a useful molecular marker for duck breeding and contribute data to the research on ecological evolution based on egg colour patterns among birds.
Collapse
Affiliation(s)
- Hehe Liu
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.,Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Jian Hu
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhanbao Guo
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wenlei Fan
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yaxi Xu
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Suyun Liang
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Dapeng Liu
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yunsheng Zhang
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ming Xie
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jing Tang
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wei Huang
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Qi Zhang
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yang Xi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Yanying Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Lei Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Shengchao Ma
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Yong Jiang
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yulong Feng
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yongbao Wu
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Junting Cao
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhengkui Zhou
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Shuisheng Hou
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| |
Collapse
|
24
|
Wang H, Cahaner A, Lou L, Zhang L, Ge Y, Li Q, Zhang X. Genetics and breeding of a black-bone and blue eggshell chicken line. 1. Body weight, skin color, and their combined selection. Poult Sci 2021; 100:101035. [PMID: 33744609 PMCID: PMC8005828 DOI: 10.1016/j.psj.2021.101035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 12/19/2020] [Accepted: 01/23/2021] [Indexed: 11/29/2022] Open
Abstract
An experimental population of chickens was developed from the cross between 2 indigenous Chinese breeds, Dongxiang blue eggshell and Jiangshan black-bone. This breeding was aimed at eventually combining dark heavy black-bone body and blue eggshell, into a single dual-purpose breed. BW was recorded and skin L∗, a∗, and b∗ color parameters were measured by a Chroma Meter at several ages (56, 105, 150, 200, 250, and 300 d). At 250 d, 3 independent observers classified skin darkness using a 3-level visual scale (1 = light, 2 = intermediate, 3 = dark). The 7-level average visual skin darkness, calculated for each chicken, was highly correlated (−0.658 and −0.612 in females and males, respectively) with skin L∗ (lightness), indicating that the accurately measured L∗ is reliable and useful reverse expression of visual skin darkness of black-bone chickens. Mean BW and skin L∗ of both sexes increased with age, to 2,063 and 1,522 g in males and females, respectively, at 300 d, and to 63 and 55 L∗ units in males and females, respectively, at 250 d. The population's full-pedigree allowed estimating heritability and genetic correlations between traits. The heritability estimates of BW were similar in both sexes, increasing from around 0.25 at 56 d, to 0.53 to 0.60 at 150 d, and 0.57 to 0.62 at 300 d. Over the 5 ages, heritability estimates of skin L∗ were moderate to high, ranging from 0.45 to 0.58 in females, and from 0.31 to 0.65 in males, and the genetic correlations between BW and L∗ ranged mostly from 0.20 to 0.45. These low-to-moderate correlations between high BW and high L∗ (low darkness) are unfavorable; hence they were combined into an index, standardized BW minus standardized L∗, allowing future selection for high BW with low L∗. With high heritability of this index, 0.487 (females at 300 d) and 0.410 to 0.555 (males at 150 d or older), simultaneous improvements in BW and skin darkness appear to be feasible. The methodology used in this study can be useful in chicken populations experimentally bred for combination of high BW and other body characteristics.
Collapse
Affiliation(s)
- Huanhuan Wang
- Animal Husbandry Institute, Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China
| | - Avigdor Cahaner
- Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 76100, Israel
| | - Lifeng Lou
- Animal Husbandry Institute, Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China
| | - Lei Zhang
- Animal Husbandry Institute, Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China
| | - Ying Ge
- Animal Husbandry Institute, Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China
| | - Qinghai Li
- Animal Husbandry Institute, Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China
| | - Xuedong Zhang
- Animal Husbandry Institute, Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China.
| |
Collapse
|
25
|
Chen J, Dalirsefat SB, Han D, Dong X, Hua G, Zheng X, Xia T, Shao T, Deng X, Wu C. An EAV-HP insertion in the 5' flanking region of SLCO1B3 is associated with its tissue-expression profile in blue-eggshell Yimeng chickens (Gallus gallus). Poult Sci 2020; 99:6371-6377. [PMID: 33248552 PMCID: PMC7704947 DOI: 10.1016/j.psj.2020.09.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 08/29/2020] [Accepted: 09/03/2020] [Indexed: 12/15/2022] Open
Abstract
We previously reported that blue eggshell color in chickens is associated with a partial endogenous retroviral (EAV-HP) insertion in the promoter region of the solute carrier organic anion transporter family member 1B3 (SLCO1B3) gene. The EAV-HP sequence includes numerous regulatory elements, which may modulate the expression of adjacent genes. To determine whether this insertion influences the expression of neighboring genes, we screened the expression of solute carrier organic anion transporter family members 1C1, 1B1 (SLCO1C1, SLCO1B1), and SLCO1B3 in 13 and 10 tissues from female and male Yimeng chickens, respectively. We observed that the insertion only significantly modulated the expression of SLCO1B3 and did not majorly affect that of SLCO1C1 and SLCO1B1. High expression of SLCO1B3 was detected in the shell gland, magnum, isthmus, and vagina of the oviduct in female blue-eggshell chickens. We also observed ectopic expression of SLCO1B3 in the testes of male chickens. SLCO1B3 is typically highly expressed in the liver; however, the EAV-HP insertion significantly reduces SLCO1B3 expression. As a liver-specific transporter, a reduction in the expression of SLCO1B3 may affect liver metabolism, particularly that of bile acids. We also detected higher ectopic expression of SLCO1B3 in the lungs of birds heterozygous for the EAV-HP insertion than in homozygous genotypes. In conclusion, we confirmed that the EAV-HP insertion modifies SLCO1B3 expression, and showed, for the first time, similar expression profile of this gene in all parts of the oviduct in females and testis in males. We also observed different levels of SLCO1B3 expression in the liver, which were associated with the EAV-HP insertion, and significantly higher expression in the lungs of birds with heterozygous genotype. The effects of these changes in the SLCO1B3 expression pattern on the function of the tissues warrant further investigation.
Collapse
Affiliation(s)
- Jianfei Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture & Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Seyed Benyamin Dalirsefat
- Department of Animal Science, Faculty of Agricultural Sciences, University of Guilan, Rasht, Guilan, Iran
| | - Deping Han
- College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Xianggui Dong
- Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture & Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Guoying Hua
- Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture & Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Xiaotong Zheng
- Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture & Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Tianlan Xia
- Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture & Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Tianqi Shao
- Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture & Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Xuemei Deng
- Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture & Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing 100193, China.
| | - Changxin Wu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture & Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing 100193, China
| |
Collapse
|
26
|
Núñez‐León D, Aguirre‐Fernández G, Steiner A, Nagashima H, Jensen P, Stoeckli E, Schneider RA, Sánchez‐Villagra MR. Morphological diversity of integumentary traits in fowl domestication: Insights from disparity analysis and embryonic development. Dev Dyn 2019; 248:1044-1058. [DOI: 10.1002/dvdy.105] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 08/01/2019] [Accepted: 08/13/2019] [Indexed: 12/18/2022] Open
Affiliation(s)
- Daniel Núñez‐León
- Paläontologisches Institut und Museum, Universität Zürich Zürich Switzerland
| | | | - Andrea Steiner
- Paläontologisches Institut und Museum, Universität Zürich Zürich Switzerland
| | - Hiroshi Nagashima
- Division of Gross Anatomy and MorphogenesisNiigata University Graduate School of Medical and Dental Sciences Niigata Japan
| | - Per Jensen
- IFM Biologi, AVIAN Behavioural Genomics and Physiology GroupLinköping University Linköping Sweden
| | - Esther Stoeckli
- Institute of Molecular Life Sciences, University of Zurich Zurich Switzerland
| | - Richard A. Schneider
- Department of Orthopaedic SurgeryUniversity of California San Francisco California
| | | |
Collapse
|
27
|
Li J, Davis BW, Jern P, Dorshorst BJ, Siegel PB, Andersson L. Characterization of the endogenous retrovirus insertion in CYP19A1 associated with henny feathering in chicken. Mob DNA 2019; 10:38. [PMID: 31467598 PMCID: PMC6712707 DOI: 10.1186/s13100-019-0181-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 08/14/2019] [Indexed: 11/10/2022] Open
Abstract
Background Henny feathering in chickens is determined by a dominant mutation that transforms male-specific plumage to female-like plumage. Previous studies indicated that this phenotype is caused by ectopic expression in skin of CYP19A1 encoding aromatase that converts androgens to estrogen and thereby inhibits the development of male-specific plumage. A long terminal repeat (LTR) from an uncharacterized endogenous retrovirus (ERV) insertion was found in an isoform of the CYP19A1 transcript from henny feathering chicken. However, the complete sequence and the genomic position of the insertion were not determined. Results We used publicly available whole genome sequence data to determine the flanking sequences of the ERV, and then PCR amplified the entire insertion and sequenced it using Nanopore long reads and Sanger sequencing. The 7524 bp insertion contains an intact endogenous retrovirus that was not found in chickens representing 31 different breeds not showing henny feathering or in samples of the ancestral red junglefowl. The sequence shows over 99% sequence identity to the avian leukosis virus ev-1 and ev-21 strains, suggesting a recent integration. The ERV 3’LTR, containing a powerful transcriptional enhancer and core promoter with TATA box together with binding sites for EFIII and Ig/EBP inside the CYP19A1 5′ untranslated region, was detected partially in an aromatase transcript, which present a plausible explanation for ectopic expression of aromatase in non-ovarian tissues underlying the henny feathering phenotype. Conclusions We demonstrate that the henny feathering allele harbors an insertion of an intact avian leukosis virus at the 5’end of CYP19A1. The presence of this ERV showed complete concordance with the henny feathering phenotype both within a pedigree segregating for this phenotype and across breeds. Electronic supplementary material The online version of this article (10.1186/s13100-019-0181-4) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Jingyi Li
- 1Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843 USA
| | - Brian W Davis
- 1Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843 USA
| | - Patric Jern
- 2Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, SE-751 23 Uppsala, Sweden
| | - Ben J Dorshorst
- 4Department of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, 24061 USA
| | - Paul B Siegel
- 4Department of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, 24061 USA
| | - Leif Andersson
- 1Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843 USA.,2Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, SE-751 23 Uppsala, Sweden.,3Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, SE-7507 Uppsala, Sweden
| |
Collapse
|
28
|
Dong X, Li J, Zhang Y, Han D, Hua G, Wang J, Deng X, Wu C. Genomic Analysis Reveals Pleiotropic Alleles at EDN3 and BMP7 Involved in Chicken Comb Color and Egg Production. Front Genet 2019; 10:612. [PMID: 31316551 PMCID: PMC6611142 DOI: 10.3389/fgene.2019.00612] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 06/12/2019] [Indexed: 12/20/2022] Open
Abstract
Artificial selection is often associated with numerous changes in seemingly unrelated phenotypic traits. The genetic mechanisms of correlated phenotypes probably involve pleiotropy or linkage of genes related to such phenotypes. Dongxiang blue-shelled chicken, an indigenous chicken breed of China, has segregated significantly for the dermal hyperpigmentation phenotype. Two lines of the chicken have been divergently selected with respect to comb color for over 20 generations. The red comb line chicken produces significantly higher number of eggs than the dark comb line chicken. The objective of this study was to explore potential mechanisms involved in the relationship between comb color and egg production among chickens. Based on the genome-wide association study results, we identified a genomic region on chromosome 20 involving EDN3 and BMP7, which is associated with hyperpigmentation of chicken comb. Further analyses by selection signatures in the two divergent lines revealed that several candidate genes, including EDN3, BMP7, BPIFB3, and PCK1, closely located on chromosome 20 are involved in the development of neural crest cell and reproductive system. The two genes EDN3 and BMP7 have known roles in regulating both ovarian function and melanogenesis, indicating the pleiotropic effect on hyperpigmentation and egg production in blue-shelled chickens. Association analysis for egg production confirmed the pleiotropic effect of selected loci identified by selection signatures. The study provides insights into phenotypic evolution due to genetic variation across the genome. The information might be useful in the current breeding efforts to develop improved breeds for egg production.
Collapse
Affiliation(s)
- Xianggui Dong
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Junying Li
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Yuanyuan Zhang
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Deping Han
- College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Guoying Hua
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Jiankui Wang
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Xuemei Deng
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Changxin Wu
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| |
Collapse
|
29
|
Malomane DK, Simianer H, Weigend A, Reimer C, Schmitt AO, Weigend S. The SYNBREED chicken diversity panel: a global resource to assess chicken diversity at high genomic resolution. BMC Genomics 2019; 20:345. [PMID: 31064348 PMCID: PMC6505202 DOI: 10.1186/s12864-019-5727-9] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Accepted: 04/23/2019] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Since domestication, chickens did not only disperse into the different parts of the world but they have also undergone significant genomic changes in this process. Many breeds, strains or lines have been formed and those represent the diversity of the species. However, other than the natural evolutionary forces, management practices (including those that threaten the persistence of genetic diversity) following domestication have shaped the genetic make-up of and diversity between today's chicken breeds. As part of the SYNBREED project, samples from a wide variety of chicken populations have been collected across the globe and were genotyped with a high density SNP array. The panel consists of the wild type, commercial layers and broilers, indigenous village/local type and fancy chicken breeds. The SYNBREED chicken diversity panel (SCDP) is made available to serve as a public basis to study the genetic structure of chicken diversity. In the current study we analyzed the genetic diversity between and within the populations in the SCDP, which is important for making informed decisions for effective management of farm animal genetic resources. RESULTS Many of the fancy breeds cover a wide spectrum and clustered with other breeds of similar supposed origin as shown by the phylogenetic tree and principal component analysis. However, the fancy breeds as well as the highly selected commercial layer lines have reduced genetic diversity within the population, with the average observed heterozygosity estimates lower than 0.205 across their breeds' categories and the average proportion of polymorphic loci lower than 0.680. We show that there is still a lot of genetic diversity preserved within the wild and less selected African, South American and some local Asian and European breeds with the average observed heterozygosity greater than 0.225 and the average proportion of polymorphic loci larger than 0.720 within their breeds' categories. CONCLUSIONS It is important that such highly diverse breeds are maintained for the sustainability and flexibility of future chicken breeding. This diversity panel provides opportunities for exploitation for further chicken molecular genetic studies. With the possibility to further expand, it constitutes a very useful community resource for chicken genetic diversity research.
Collapse
Affiliation(s)
- Dorcus Kholofelo Malomane
- Animal Breeding and Genetics Group, Department of Animal Sciences, University of Goettingen, 37075, Goettingen, Germany.,Center for Integrated Breeding Research, Department of Animal Sciences, University of Goettingen, 37075, Goettingen, Germany
| | - Henner Simianer
- Animal Breeding and Genetics Group, Department of Animal Sciences, University of Goettingen, 37075, Goettingen, Germany.,Center for Integrated Breeding Research, Department of Animal Sciences, University of Goettingen, 37075, Goettingen, Germany
| | - Annett Weigend
- Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, 31535, Neustadt, Germany
| | - Christian Reimer
- Animal Breeding and Genetics Group, Department of Animal Sciences, University of Goettingen, 37075, Goettingen, Germany.,Center for Integrated Breeding Research, Department of Animal Sciences, University of Goettingen, 37075, Goettingen, Germany
| | - Armin Otto Schmitt
- Center for Integrated Breeding Research, Department of Animal Sciences, University of Goettingen, 37075, Goettingen, Germany.,Breeding Informatics Group, Department of Animal Sciences, University of Göttingen, 37075, Göttingen, Germany
| | - Steffen Weigend
- Center for Integrated Breeding Research, Department of Animal Sciences, University of Goettingen, 37075, Goettingen, Germany. .,Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, 31535, Neustadt, Germany.
| |
Collapse
|
30
|
Li Z, Ren T, Li W, Zhou Y, Han R, Li H, Jiang R, Yan F, Sun G, Liu X, Tian Y, Kang X. Association Between the Methylation Statuses at CpG Sites in the Promoter Region of the SLCO1B3, RNA Expression and Color Change in Blue Eggshells in Lushi Chickens. Front Genet 2019; 10:161. [PMID: 30863430 PMCID: PMC6399514 DOI: 10.3389/fgene.2019.00161] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Accepted: 02/14/2019] [Indexed: 12/31/2022] Open
Abstract
The formation mechanism underlying the blue eggshell characteristic has been discovered in birds, and SLCO1B3 is the key gene that regulates the blue eggshell color. Insertion of an endogenous retrovirus, EAV-HP, in the SLCO1B3 5′ flanking region promotes SLCO1B3 expression in the chicken shell gland, and this expression causes bile salts to enter the shell gland, where biliverdin is secreted into the eggshell, forming a blue shell. However, at different laying stages of the same group of chickens, the color of the eggshell can vary widely, and the molecular mechanism underlying the eggshell color change remains unknown. Therefore, to reveal the molecular mechanism of the blue eggshell color variations, we analyzed the change in the eggshell color during the laying period. The results indicated that the eggshell color in Lushi chickens can be divided into three stages: 20–25 weeks for dark blue, 26–45 weeks for medium blue, and 46–60 weeks for light blue. We further investigated the expression and methylation levels of the SLCO1B3 gene at eight different weeks, finding that the relative expression of SLCO1B3 was significantly higher at 25 and 30 weeks than at other laying weeks. Furthermore, the overall methylation rate of the SLCO1B3 gene in Lushi chickens increased gradually with increasing weeks of egg production, as shown by bisulfite sequencing PCR. Pearson correlation analysis showed that methylation of the promoter region of SLCO1B3 was significantly negatively correlated with both SLCO1B3 expression in the shell gland tissue and eggshell color. In addition, we predicted that CpG5 and CpG8 may be key sites for regulating SLCO1B3 gene transcription. Our findings show that as the level of methylation increases, methylation of the CpG5 and CpG8 sites hinders the binding of transcription factors to the promoter, reducing SLCO1B3 expression during the late period and resulting in a lighter eggshell color.
Collapse
Affiliation(s)
- Zhuanjian Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, China
| | - Tuanhui Ren
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Wenya Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Yu Zhou
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Ruili Han
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, China
| | - Hong Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, China
| | - Ruirui Jiang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, China
| | - Fengbin Yan
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, China
| | - Guirong Sun
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, China
| | - Xiaojun Liu
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, China
| | - Yadong Tian
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, China
| | - Xiangtao Kang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, China
| |
Collapse
|
31
|
Darwish HYA, Dalirsefat SB, Dong X, Hua G, Chen J, Zhang Y, Li J, Xu J, Li J, Deng X, Wu C. Genome-wide association study and a post replication analysis revealed a promising genomic region and candidate genes for chicken eggshell blueness. PLoS One 2019; 14:e0209181. [PMID: 30673708 PMCID: PMC6343938 DOI: 10.1371/journal.pone.0209181] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Accepted: 12/01/2018] [Indexed: 11/19/2022] Open
Abstract
The eggshell blueness is an interesting object for chicken genetic studies and blue-shelled chicken industry, especially after the discovery of the causative mutation of chicken blue eggshell. In the present study, genome wide association study (GWAS) was conducted in Chinese Dongxiang blue-shelled chicken underlying four traits of blue eggshell pigments: quantity of biliverdin (QB), quantity of protoporphyrin (QP), quantity of total pigment (QT), and color density trait (CD). A total of 139 individuals were randomly collected for GWAS. We detected two SNPs in genome-wise significance and 35 in suggestive significance, 24 out of the 37 SNP were located either within intron/exon or near 15 genes in a range of ~1.17 Mb on GGA21. For further confirmation of the identified SNP loci by GWAS, the follow-up replication studies were performed in two populations. A total of 146 individuals of the second generation derived from the former GWAS population, as well as 280 individuals from an alternative independent population were employed for genotyping by MALDI-TOF MS in a genotype-phenotype association study. Eighteen SNPs evenly distributed on the GGA21 significant region were successfully genotyped in the two populations, of which 4 and 6 SNP loci were shown significantly associated with QB, QT and QP in the two repeat populations, respectively. Further, the SNPs were narrowed down to a region of ~ 653.819 Kb on GGA21 that harbors five candidate genes: AJAP1, TNFRSF9, C1ORF174, CAMTA1, and CEP104. Shell gland of chickens laying dark and light blue eggshell was chosen for detection of mRNA expression of the five candidate genes. The results showed differential expression levels of these genes in the two groups. The specific function of these genes has not yet been defined clearly in chickens and further in-depth studies are needed to explore the new functional role in chicken eggshell blueness.
Collapse
Affiliation(s)
- Hesham Y. A. Darwish
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
- Animal Production Research Institute, Agricultural Research Center, Ministry of Agriculture and Land Reclamation, Giza, Egypt
| | - Seyed Benyamin Dalirsefat
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
- Department of Animal Science, Faculty of Agricultural Sciences, University of Guilan, Rasht, Guilan, Iran
| | - Xianggui Dong
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Guoying Hua
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Jianfei Chen
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Yuanyuan Zhang
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Jianxiong Li
- Jiangxi Donghua Livestock & Poultry Breeding Co. Ltd., Jiangxi, China
| | - Jiansheng Xu
- Jiangxi Donghua Livestock & Poultry Breeding Co. Ltd., Jiangxi, China
| | - Junying Li
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Xuemei Deng
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Changxin Wu
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| |
Collapse
|
32
|
Gutiérrez-Vázquez C, Quintana FJ. Regulation of the Immune Response by the Aryl Hydrocarbon Receptor. Immunity 2018; 48:19-33. [PMID: 29343438 DOI: 10.1016/j.immuni.2017.12.012] [Citation(s) in RCA: 650] [Impact Index Per Article: 92.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Revised: 10/04/2017] [Accepted: 12/21/2017] [Indexed: 12/14/2022]
Abstract
The aryl hydrocarbon receptor (AhR) is a ligand-activated transcription factor that is activated by small molecules provided by the diet, microorganisms, metabolism, and pollutants. AhR is expressed by a number of immune cells, and thus AhR signaling provides a molecular pathway that integrates the effects of the environment and metabolism on the immune response. Studies have shown that AhR signaling plays important roles in the immune system in health and disease. As its activity is regulated by small molecules, AhR also constitutes a potential target for therapeutic immunomodulation. In this review we discuss the role of AhR in the regulation of the immune response in the context of autoimmunity, infection, and cancer, as well as the potential opportunities and challenges of developing AhR-targeted therapeutics.
Collapse
Affiliation(s)
- Cristina Gutiérrez-Vázquez
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Francisco J Quintana
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; The Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| |
Collapse
|
33
|
Wilson PB. Recent advances in avian egg science: A review. Poult Sci 2018; 96:3747-3754. [PMID: 28938769 PMCID: PMC5850298 DOI: 10.3382/ps/pex187] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 06/13/2017] [Indexed: 12/21/2022] Open
Abstract
Eggs and egg products form an integral part of the food chain. As such, research into egg structure, function, and production has made an important contribution to the field of poultry science. The past decade has seen significant advances in avian egg science research, with work supplementing our understanding of the nature of the avian egg, and its biological, chemical, and physical properties. Eggshell color, strength, and chemical composition, poultry nutrition, and genetics have all been intensively studied recently, with significant progress being made in a number of these areas. Indeed, with the prevalence of robust theoretical techniques, it is now commonplace to combine experimental investigations with theory, providing a balanced and interdisciplinary perspective.
Collapse
Affiliation(s)
- Philippe B Wilson
- Faculty of Health & Life Sciences, De Montfort University, The Gateway, Leicester, LE1 9BH, United Kingdom
| |
Collapse
|
34
|
Stoddard MC, Hauber ME. Colour, vision and coevolution in avian brood parasitism. Philos Trans R Soc Lond B Biol Sci 2018; 372:rstb.2016.0339. [PMID: 28533456 DOI: 10.1098/rstb.2016.0339] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/04/2017] [Indexed: 01/03/2023] Open
Abstract
The coevolutionary interactions between avian brood parasites and their hosts provide a powerful system for investigating the diversity of animal coloration. Specifically, reciprocal selection pressure applied by hosts and brood parasites can give rise to novel forms and functions of animal coloration, which largely differ from those that arise when selection is imposed by predators or mates. In the study of animal colours, avian brood parasite-host dynamics therefore invite special consideration. Rapid advances across disciplines have paved the way for an integrative study of colour and vision in brood parasite-host systems. We now know that visually driven host defences and host life history have selected for a suite of phenotypic adaptations in parasites, including mimicry, crypsis and supernormal stimuli. This sometimes leads to vision-based host counter-adaptations and increased parasite trickery. Here, we review vision-based adaptations that arise in parasite-host interactions, emphasizing that these adaptations can be visual/sensory, cognitive or phenotypic in nature. We highlight recent breakthroughs in chemistry, genomics, neuroscience and computer vision, and we conclude by identifying important future directions. Moving forward, it will be essential to identify the genetic and neural bases of adaptation and to compare vision-based adaptations to those arising in other sensory modalities.This article is part of the themed issue 'Animal coloration: production, perception, function and application'.
Collapse
Affiliation(s)
- Mary Caswell Stoddard
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Mark E Hauber
- Department of Psychology, Hunter College and Graduate Center of the City University of New York, NY, USA.,Department of Animal Biology, School of Integrative Biology, University of Illinois at Urbana-Champaign, IL, USA
| |
Collapse
|
35
|
Xu FQ, Li A, Lan JJ, Wang YM, Yan MJ, Lian SY, Wu X. Study of formation of green eggshell color in ducks through global gene expression. PLoS One 2018; 13:e0191564. [PMID: 29377917 PMCID: PMC5788541 DOI: 10.1371/journal.pone.0191564] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Accepted: 01/08/2018] [Indexed: 11/19/2022] Open
Abstract
The green eggshell color produced by ducks is a threshold trait that can be influenced by various factors, such as hereditary, environment and nutrition. The aim of this study was to investigate the genetic regulation of the formation of eggs with green shells in Youxian ducks. We performed integrative analysis of mRNAs and miRNAs expression profiling in the shell gland samples from ducks by RNA-Seq. We found 124 differentially expressed genes that were associated with various pathways, such as the ATP-binding cassette (ABC) transporter and solute carrier supper family pathways. A total of 31 differentially expressed miRNAs were found between ducks laying green eggs and white eggs. KEGG pathway analysis of the predicted miRNA target genes also indicated the functional characteristics of these miRNAs; they were involved in the ABC transporter pathway and the solute carrier (SLC) supper family. Analysis with qRT-PCR was applied to validate the results of global gene expression, which showed a correlation between results obtained by RNA-seq and RT-qPCR. Moreover, a miRNA-mRNA interaction network was established using correlation analysis of differentially expressed mRNA and miRNA. Compared to ducks that lay white eggs, ducks that lay green eggs include six up-regulated miRNAs that had regulatory effects on 35 down-regulated genes, and seven down-regulated miRNAs which influenced 46 up-regulated genes. For example, the ABC transporter pathway could be regulated by expressing gga-miR-144-3p (up-regulated) with ABCG2 (up-regulated) and other miRNAs and genes. This study provides valuable information about mRNA and miRNA regulation in duck shell gland tissues, and provides foundational information for further study on the eggshell color formation and marker-assisted selection for Youxian duck breeding.
Collapse
Affiliation(s)
- Fa Qiong Xu
- College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian, People’s Republic of China
| | - Ang Li
- College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian, People’s Republic of China
| | - Jing Jing Lan
- College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian, People’s Republic of China
| | - Yue Ming Wang
- College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian, People’s Republic of China
| | - Mei Jiao Yan
- College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian, People’s Republic of China
| | - Sen Yang Lian
- College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian, People’s Republic of China
| | - Xu Wu
- College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian, People’s Republic of China
| |
Collapse
|
36
|
Čvorović J, Passamonti S. Membrane Transporters for Bilirubin and Its Conjugates: A Systematic Review. Front Pharmacol 2017; 8:887. [PMID: 29259555 PMCID: PMC5723324 DOI: 10.3389/fphar.2017.00887] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2017] [Accepted: 11/17/2017] [Indexed: 12/16/2022] Open
Abstract
Background: Bilirubin is a highly-hydrophobic tetrapyrrole which binds to plasma albumin. It is conjugated in the liver to glucuronic acid, and the water-soluble glucuronides are excreted in urine and bile. The membrane transporters of bilirubin diglucuronide are well-known. Still undefined are however the transporters performing the uptake of bilirubin from the blood into the liver, a process known to be fast and not rate-limited. The biological importance of this process may be appraised by considering that in normal adults 200–300 mg of bilirubin are produced daily, as a result of the physiologic turnover of hemoglobin and cellular cytochromes. Nevertheless, research in this field has yielded controversial and contradicting results. We have undertaken a systematic review of the literature, believing in its utility to improve the existing knowledge and promote further advancements. Methods: We have sourced the PubMed database until 30 June 2017 by applying 5 sequential searches. Screening and eligibility criteria were applied to retain research articles reporting results obtained by using bilirubin molecules in membrane transport assays in vitro or by assessing serum bilirubin levels in in vivo experiments. Results: We have identified 311 articles, retaining 44, reporting data on experimental models having 6 incremental increases of complexity (isolated proteins, membrane vesicles, cells, organ fragments, in vivo rodents, and human studies), demonstrating the function of 19 membrane transporters, encoded by either SLCO or ABC genes. Three other bilirubin transporters have no gene, though one, i.e., bilitranslocase, is annotated in the Transporter Classification Database. Conclusions: This is the first review that has systematically examined the membrane transporters for bilirubin and its conjugates. Paradoxically, the remarkable advancements in the field of membrane transport of bilirubin have pointed to the elusive mechanism(s) enabling bilirubin to diffuse into the liver as if no cellular boundary existed.
Collapse
Affiliation(s)
- Jovana Čvorović
- Department of Life Sciences, University of Trieste, Trieste, Italy
| | | |
Collapse
|
37
|
Jeong H, Kim K, Caetano-Anollés K, Kim H, Kim BK, Yi JK, Ha JJ, Cho S, Oh DY. Whole genome sequencing of Gyeongbuk Araucana, a newly developed blue-egg laying chicken breed, reveals its origin and genetic characteristics. Sci Rep 2016; 6:26484. [PMID: 27215397 PMCID: PMC4877703 DOI: 10.1038/srep26484] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2015] [Accepted: 05/03/2016] [Indexed: 01/15/2023] Open
Abstract
Chicken, Gallus gallus, is a valuable species both as a food source and as a model organism for scientific research. Here, we sequenced the genome of Gyeongbuk Araucana, a rare chicken breed with unique phenotypic characteristics including flight ability, large body size, and laying blue-shelled eggs, to identify its genomic features. We generated genomes of Gyeongbuk Araucana, Leghorn, and Korean Native Chicken at a total of 33.5, 35.82, and 33.23 coverage depth, respectively. Along with the genomes of 12 Chinese breeds, we identified genomic variants of 16.3 million SNVs and 2.3 million InDels in mapped regions. Additionally, through assembly of unmapped reads and selective sweep, we identified candidate genes that fall into heart, vasculature and muscle development and body growth categories, which provided insight into Gyeongbuk Araucana's phenotypic traits. Finally, genetic variation based on the transposable element insertion pattern was investigated to elucidate the features of transposable elements related to blue egg shell formation. This study presents results of the first genomic study on the Gyeongbuk Araucana breed; it has potential to serve as an invaluable resource for future research on the genomic characteristics of this chicken breed as well as others.
Collapse
Affiliation(s)
- Hyeonsoo Jeong
- Department of Animal Sciences, University of Illinois, Urbana, IL 61801, USA
| | - Kwondo Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Kwan-ak St. 599, Kwan-ak Gu, Seoul, South Korea 151-741, Republic of Korea
- C&K genomics, Main Bldg. #514, SNU Research Park, Seoul 151-919, Republic of Korea
| | - Kelsey Caetano-Anollés
- Department of Agricultural Biotechnology, Animal Biotechnology Major, and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul 151-921, Korea
| | - Heebal Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Kwan-ak St. 599, Kwan-ak Gu, Seoul, South Korea 151-741, Republic of Korea
- Department of Agricultural Biotechnology, Seoul National University, Kwan-ak St. 599, Kwan-ak Gu, Seoul 151-742, Republic of Korea
| | - Byung-ki Kim
- Gyeongsangbuk-do Livestock Research Institute, 186, Daeryongsan-ro, Anjung-myon, Yeoungju, Gyeongsangbuk-do, Republic of Korea
| | - Jun-Koo Yi
- Gyeongsangbuk-do Livestock Research Institute, 186, Daeryongsan-ro, Anjung-myon, Yeoungju, Gyeongsangbuk-do, Republic of Korea
| | - Jae-Jung Ha
- Gyeongsangbuk-do Livestock Research Institute, 186, Daeryongsan-ro, Anjung-myon, Yeoungju, Gyeongsangbuk-do, Republic of Korea
| | - Seoae Cho
- C&K genomics, Main Bldg. #514, SNU Research Park, Seoul 151-919, Republic of Korea
| | - Dong Yep Oh
- Gyeongsangbuk-do Livestock Research Institute, 186, Daeryongsan-ro, Anjung-myon, Yeoungju, Gyeongsangbuk-do, Republic of Korea
| |
Collapse
|
38
|
Zhang Z, Nie C, Jia Y, Jiang R, Xia H, Lv X, Chen Y, Li J, Li X, Ning Z, Xu G, Chen J, Yang N, Qu L. Parallel Evolution of Polydactyly Traits in Chinese and European Chickens. PLoS One 2016; 11:e0149010. [PMID: 26859147 PMCID: PMC4747547 DOI: 10.1371/journal.pone.0149010] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2015] [Accepted: 01/26/2016] [Indexed: 12/26/2022] Open
Abstract
Polydactyly is one of the most common hereditary congenital limb malformations in chickens and other vertebrates. The zone of polarizing activity regulatory sequence (ZRS) is critical for the development of polydactyly. The causative mutation of polydactyly in the Silkie chicken has been mapped to the ZRS; however, the causative mutations of other chicken breeds are yet to be established. To understand whether the same mutation decides the polydactyly phenotype in other chicken breeds, we detected the single-nucleotide polymorphism in 26 different chicken breeds, specifically, 24 Chinese indigenous breeds and 2 European breeds. The mutation was found to have fully penetrated chickens with polydactyly in China, indicating that it is causative for polydactyly in Chinese indigenous chickens. In comparison, the mutation showed no association with polydactyly in Houdan chickens, which originate from France, Europe. Based on the different morphology of polydactyly in Chinese and European breeds, we assumed that the trait might be attributable to different genetic foundations. Therefore, we subsequently performed genome-wide association analysis (GWAS) to locate the region associated with polydactyly. As a result, a ~0.39 Mb genomic region on GGA2p was identified. The region contains six candidate genes, with the causative mutation found in Chinese indigenous breeds also being located in this region. Our results demonstrate that polydactyly in chickens from China and Europe is caused by two independent mutation events that are closely located in the chicken genome.
Collapse
Affiliation(s)
- Zebin Zhang
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Changsheng Nie
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Yaxiong Jia
- Beijing Municipal General Station of Animal Science, Beijing, 100107, China
| | - Runshen Jiang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036, China
| | - Haijian Xia
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Xueze Lv
- Beijing Municipal General Station of Animal Science, Beijing, 100107, China
| | - Yu Chen
- Beijing Municipal General Station of Animal Science, Beijing, 100107, China
| | - Junying Li
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Xianyao Li
- College of Animal Science, Shandong Agricultural University, Taian, 271018, China
| | - Zhonghua Ning
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Guiyun Xu
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Jilan Chen
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Ning Yang
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Lujiang Qu
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
- * E-mail:
| |
Collapse
|
39
|
Verdes A, Cho W, Hossain M, Brennan PLR, Hanley D, Grim T, Hauber ME, Holford M. Nature's Palette: Characterization of Shared Pigments in Colorful Avian and Mollusk Shells. PLoS One 2015; 10:e0143545. [PMID: 26650398 PMCID: PMC4674117 DOI: 10.1371/journal.pone.0143545] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2015] [Accepted: 11/05/2015] [Indexed: 11/21/2022] Open
Abstract
Pigment-based coloration is a common trait found in a variety of organisms across the tree of life. For example, calcareous avian eggs are natural structures that vary greatly in color, yet just a handful of tetrapyrrole pigment compounds are responsible for generating this myriad of colors. To fully understand the diversity and constraints shaping nature's palette, it is imperative to characterize the similarities and differences in the types of compounds involved in color production across diverse lineages. Pigment composition was investigated in eggshells of eleven paleognath bird taxa, covering several extinct and extant lineages, and shells of four extant species of mollusks. Birds and mollusks are two distantly related, calcareous shell-building groups, thus characterization of pigments in their calcareous structures would provide insights to whether similar compounds are found in different phyla (Chordata and Mollusca). An ethylenediaminetetraacetic acid (EDTA) extraction protocol was used to analyze the presence and concentration of biliverdin and protoporphyrin, two known and ubiquitous tetrapyrrole avian eggshell pigments, in all avian and molluscan samples. Biliverdin was solely detected in birds, including the colorful eggshells of four tinamou species. In contrast, protoporphyrin was detected in both the eggshells of several avian species and in the shells of all mollusks. These findings support previous hypotheses about the ubiquitous deposition of tetrapyrroles in the eggshells of various bird lineages and provide evidence for its presence also across distantly related animal taxa.
Collapse
Affiliation(s)
- Aida Verdes
- The Graduate Center, City University of New York, New York, New York, United States of America
- Division of Invertebrate Zoology, American Museum of Natural History, New York, New York, United States of America
| | - Wooyoung Cho
- Department of Chemistry, Hunter College Belfer Research Building, City University of New York, New York, New York, United States of America
| | - Marouf Hossain
- Department of Chemistry, Hunter College Belfer Research Building, City University of New York, New York, New York, United States of America
| | - Patricia L. R. Brennan
- Department of Psychology, University of Massachusetts, Amherst, Massachusetts, United States of America
| | - Daniel Hanley
- Department of Zoology and Laboratory of Ornithology, Palacký University, Olomouc, Czech Republic
| | - Tomáš Grim
- Department of Zoology and Laboratory of Ornithology, Palacký University, Olomouc, Czech Republic
| | - Mark E. Hauber
- The Graduate Center, City University of New York, New York, New York, United States of America
- Department of Psychology, Hunter College, City University of New York, New York, New York, United States of America
| | - Mandë Holford
- The Graduate Center, City University of New York, New York, New York, United States of America
- Division of Invertebrate Zoology, American Museum of Natural History, New York, New York, United States of America
- Department of Chemistry, Hunter College Belfer Research Building, City University of New York, New York, New York, United States of America
| |
Collapse
|
40
|
Wragg D, Mason AS, Yu L, Kuo R, Lawal RA, Desta TT, Mwacharo JM, Cho CY, Kemp S, Burt DW, Hanotte O. Genome-wide analysis reveals the extent of EAV-HP integration in domestic chicken. BMC Genomics 2015; 16:784. [PMID: 26466991 PMCID: PMC4607243 DOI: 10.1186/s12864-015-1954-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2015] [Accepted: 09/02/2015] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND EAV-HP is an ancient retrovirus pre-dating Gallus speciation, which continues to circulate in modern chicken populations, and led to the emergence of avian leukosis virus subgroup J causing significant economic losses to the poultry industry. We mapped EAV-HP integration sites in Ethiopian village chickens, a Silkie, Taiwan Country chicken, red junglefowl Gallus gallus and several inbred experimental lines using whole-genome sequence data. RESULTS An average of 75.22 ± 9.52 integration sites per bird were identified, which collectively group into 279 intervals of which 5 % are common to 90 % of the genomes analysed and are suggestive of pre-domestication integration events. More than a third of intervals are specific to individual genomes, supporting active circulation of EAV-HP in modern chickens. Interval density is correlated with chromosome length (P < 2.31(-6)), and 27 % of intervals are located within 5 kb of a transcript. Functional annotation clustering of genes reveals enrichment for immune-related functions (P < 0.05). CONCLUSIONS Our results illustrate a non-random distribution of EAV-HP in the genome, emphasising the importance it may have played in the adaptation of the species, and provide a platform from which to extend investigations on the co-evolutionary significance of endogenous retroviral genera with their hosts.
Collapse
Affiliation(s)
- David Wragg
- Ecology and Evolution, School of Life Sciences, University of Nottingham, University Park, Nottingham, UK.
- Institut National de la Recherche Agronomique (INRA), UMR 1338 GenPhySE, 31326, Castanet-Tolosan, France.
| | - Andrew S Mason
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, EH25 9RG, Edinburgh, UK.
| | - Le Yu
- GAIC Co. Ltd. Jing Chen Buiding, Science Park, South Street, Chao Yang District, Beijing, People's Republic Popular of China.
| | - Richard Kuo
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, EH25 9RG, Edinburgh, UK.
| | - Raman A Lawal
- Ecology and Evolution, School of Life Sciences, University of Nottingham, University Park, Nottingham, UK.
| | - Takele Taye Desta
- Ecology and Evolution, School of Life Sciences, University of Nottingham, University Park, Nottingham, UK.
| | - Joram M Mwacharo
- Ecology and Evolution, School of Life Sciences, University of Nottingham, University Park, Nottingham, UK.
- International Centre for Agricultural Research in Dry Areas, c/o International Livestock Research Institute, Addis Ababa, Ethiopia.
| | - Chang-Yeon Cho
- Animal Genetic Resources Station, National Institute of Animal Science, Namwon, Republic of Korea.
| | - Steve Kemp
- International Livestock Research Institute, Naivasha Road, P.O. Box 30709, Nairobi, Kenya.
| | - David W Burt
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, EH25 9RG, Edinburgh, UK.
| | - Olivier Hanotte
- Ecology and Evolution, School of Life Sciences, University of Nottingham, University Park, Nottingham, UK.
| |
Collapse
|
41
|
Abstract
Endogenous retroviruses comprise millions of discrete genetic loci distributed within the genomes of extant vertebrates. These sequences, which are clearly related to exogenous retroviruses, represent retroviral infections of the deep past, and their abundance suggests that retroviruses were a near-constant presence throughout the evolutionary history of modern vertebrates. Endogenous retroviruses contribute in myriad ways to the evolution of host genomes, as mutagens and as sources of genetic novelty (both coding and regulatory) to be acted upon by the twin engines of random genetic drift and natural selection. Importantly, the richness and complexity of endogenous retrovirus data can be used to understand how viruses spread and adapt on evolutionary timescales by combining population genetics and evolutionary theory with a detailed understanding of retrovirus biology (gleaned from the study of extant retroviruses). In addition to revealing the impact of viruses on organismal evolution, such studies can help us better understand, by looking back in time, how life-history traits, as well as ecological and geological events, influence the movement of viruses within and between populations.
Collapse
Affiliation(s)
- Welkin E Johnson
- Biology Department, Boston College, Chestnut Hill, Massachusetts 02467;
| |
Collapse
|
42
|
Schmid M, Smith J, Burt DW, Aken BL, Antin PB, Archibald AL, Ashwell C, Blackshear PJ, Boschiero C, Brown CT, Burgess SC, Cheng HH, Chow W, Coble DJ, Cooksey A, Crooijmans RPMA, Damas J, Davis RVN, de Koning DJ, Delany ME, Derrien T, Desta TT, Dunn IC, Dunn M, Ellegren H, Eöry L, Erb I, Farré M, Fasold M, Fleming D, Flicek P, Fowler KE, Frésard L, Froman DP, Garceau V, Gardner PP, Gheyas AA, Griffin DK, Groenen MAM, Haaf T, Hanotte O, Hart A, Häsler J, Hedges SB, Hertel J, Howe K, Hubbard A, Hume DA, Kaiser P, Kedra D, Kemp SJ, Klopp C, Kniel KE, Kuo R, Lagarrigue S, Lamont SJ, Larkin DM, Lawal RA, Markland SM, McCarthy F, McCormack HA, McPherson MC, Motegi A, Muljo SA, Münsterberg A, Nag R, Nanda I, Neuberger M, Nitsche A, Notredame C, Noyes H, O'Connor R, O'Hare EA, Oler AJ, Ommeh SC, Pais H, Persia M, Pitel F, Preeyanon L, Prieto Barja P, Pritchett EM, Rhoads DD, Robinson CM, Romanov MN, Rothschild M, Roux PF, Schmidt CJ, Schneider AS, Schwartz MG, Searle SM, Skinner MA, Smith CA, Stadler PF, Steeves TE, Steinlein C, Sun L, Takata M, Ulitsky I, Wang Q, Wang Y, et alSchmid M, Smith J, Burt DW, Aken BL, Antin PB, Archibald AL, Ashwell C, Blackshear PJ, Boschiero C, Brown CT, Burgess SC, Cheng HH, Chow W, Coble DJ, Cooksey A, Crooijmans RPMA, Damas J, Davis RVN, de Koning DJ, Delany ME, Derrien T, Desta TT, Dunn IC, Dunn M, Ellegren H, Eöry L, Erb I, Farré M, Fasold M, Fleming D, Flicek P, Fowler KE, Frésard L, Froman DP, Garceau V, Gardner PP, Gheyas AA, Griffin DK, Groenen MAM, Haaf T, Hanotte O, Hart A, Häsler J, Hedges SB, Hertel J, Howe K, Hubbard A, Hume DA, Kaiser P, Kedra D, Kemp SJ, Klopp C, Kniel KE, Kuo R, Lagarrigue S, Lamont SJ, Larkin DM, Lawal RA, Markland SM, McCarthy F, McCormack HA, McPherson MC, Motegi A, Muljo SA, Münsterberg A, Nag R, Nanda I, Neuberger M, Nitsche A, Notredame C, Noyes H, O'Connor R, O'Hare EA, Oler AJ, Ommeh SC, Pais H, Persia M, Pitel F, Preeyanon L, Prieto Barja P, Pritchett EM, Rhoads DD, Robinson CM, Romanov MN, Rothschild M, Roux PF, Schmidt CJ, Schneider AS, Schwartz MG, Searle SM, Skinner MA, Smith CA, Stadler PF, Steeves TE, Steinlein C, Sun L, Takata M, Ulitsky I, Wang Q, Wang Y, Warren WC, Wood JMD, Wragg D, Zhou H. Third Report on Chicken Genes and Chromosomes 2015. Cytogenet Genome Res 2015; 145:78-179. [PMID: 26282327 PMCID: PMC5120589 DOI: 10.1159/000430927] [Show More Authors] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Affiliation(s)
- Michael Schmid
- Department of Human Genetics, University of Würzburg, Würzburg, Germany
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
43
|
Dalirsefat SB, Dong X, Deng X. Molecular phylogenetic analysis of Chinese indigenous blue-shelled chickens inferred from whole genomic region of the SLCO1B3 gene. Poult Sci 2015; 94:1776-86. [PMID: 26069255 DOI: 10.3382/ps/pev146] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/14/2015] [Indexed: 11/20/2022] Open
Abstract
In total, 246 individuals from 8 Chinese indigenous blue- and brown-shelled chicken populations (Yimeng Blue, Wulong Blue, Lindian Blue, Dongxiang Blue, Lushi Blue, Jingmen Blue, Dongxiang Brown, and Lushi Brown) were genotyped for 21 SNP markers from the SLCO1B3 gene to evaluate phylogenetic relationships. As a representative of nonblue-shelled breeds, White Leghorn was included in the study for reference. A high proportion of SNP polymorphism was observed in Chinese chicken populations, ranging from 89% in Jingmen Blue to 100% in most populations, with a mean of 95% across all populations. The White Leghorn breed showed the lowest polymorphism, accounting for 43% of total SNPs. The mean expected heterozygosity varied from 0.11 in Dongxiang Blue to 0.46 in Yimeng Blue. Analysis of molecular variation (AMOVA) for 2 groups of Chinese chickens based on eggshell color type revealed 52% within-group and 43% between-group variations of the total genetic variation. As expected, FST and Reynolds' genetic distance were greatest between White Leghorn and Chinese chicken populations, with average values of 0.40 and 0.55, respectively. The first and second principal coordinates explained approximately 92% of the total variation and supported the clustering of the populations according to their eggshell color type and historical origins. STRUCTURE analysis showed a considerable source of variation among populations for the clustering into blue-shelled and nonblue-shelled chicken populations. The low estimation of genetic differentiation (FST) between Chinese chicken populations is possibly due to a common historical origin and high gene flow. Remarkably similar population classifications were obtained with all methods used in the study. Aligning endogenous avian retroviral (EAV)-HP insertion sequences showed no difference among the blue-shelled chickens.
Collapse
Affiliation(s)
- Seyed Benyamin Dalirsefat
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing 100193, China
| | - Xianggui Dong
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing 100193, China
| | - Xuemei Deng
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing 100193, China
| |
Collapse
|
44
|
A cis-regulatory mutation of PDSS2 causes silky-feather in chickens. PLoS Genet 2014; 10:e1004576. [PMID: 25166907 PMCID: PMC4148213 DOI: 10.1371/journal.pgen.1004576] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2013] [Accepted: 07/08/2014] [Indexed: 12/15/2022] Open
Abstract
Silky-feather has been selected and fixed in some breeds due to its unique appearance. This phenotype is caused by a single recessive gene (hookless, h). Here we map the silky-feather locus to chromosome 3 by linkage analysis and subsequently fine-map it to an 18.9 kb interval using the identical by descent (IBD) method. Further analysis reveals that a C to G transversion located upstream of the prenyl (decaprenyl) diphosphate synthase, subunit 2 (PDSS2) gene is causing silky-feather. All silky-feather birds are homozygous for the G allele. The silky-feather mutation significantly decreases the expression of PDSS2 during feather development in vivo. Consistent with the regulatory effect, the C to G transversion is shown to remarkably reduce PDSS2 promoter activity in vitro. We report a new example of feather structure variation associated with a spontaneous mutation and provide new insight into the PDSS2 function. The feather is an excellent model for evolution and development due to its complex structure and vast diversity. Some chickens have silky-feather because of a loss of hooklets in pennaceous feathers, while most chickens have the wild-type normal feather. Hooklets are formed in the last differentiation stage of the life cycle of a pennaceous feather. Chickens with silky-feather are homozygous for a recessive allele (hookless, h). Silkie chicken from China is one of the breeds showing the fascinating silky-feather phenotype and the breed has been known for hundreds of years. In this study, we mapped the silky-feather locus to an 18.9 kb interval and identified a single nucleotide polymorphism (SNP) completely associated with silky-feather. The causative mutation is located 103 base pairs upstream of the coding sequence of prenyl (decaprenyl) diphosphate synthase, subunit 2 (PDSS2). The expression of the PDSS2 gene is decreased in silky-feather skin during feather development in vivo. The silky-feather allele also reduces the PDSS2 promoter activity in vitro. This is the first report of feather structure variation associated with PDSS2 and provides new insight into molecular signaling in the late development stage of feather morphogenesis.
Collapse
|
45
|
Sacco MA, Nair VK. Prototype endogenous avian retroviruses of the genus Gallus. J Gen Virol 2014; 95:2060-2070. [PMID: 24903328 DOI: 10.1099/vir.0.066852-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Ancient endogenous retroviruses (ERVs), designated endogenous avian retrovirus (EAVs), are present in all Gallus spp. including the chicken, and resemble the modern avian sarcoma and leukosis viruses (ASLVs). The EAVs comprise several distinct retroviruses, including EAV-0, EAV-E51 and EAV-HP, as well as a putative member previously named the avian retrotransposon of chickens (ART-CH). Thus far, only the EAV-HP elements have been well characterized. Here, we determined sequences of representative EAV-0 and EAV-E51 proviruses by cloning and data mining of the 2011 assembly of the Gallus gallus genome. Although the EAV-0 elements are primarily deleted in the env region, we identified two complete EAV-0 env genes within the G. gallus genome and prototype elements sharing identity with an EAV-E51-related clone previously designated EAV-E33. Prototype EAV-0, EAV-E51 and EAV-E33 gag, pol and env gene sequences used for phylogenetic analysis of deduced proteins showed that the EAVs formed three distinct clades, with EAV-0 sharing the last common ancestor with the ASLVs. The EAV-E51 clade showed the greatest level of divergence compared with other EAVs or ASLVs, suggesting that these ERVs represented exogenous retroviruses that evolved and integrated into the germline over a long period of time. Moreover, the degree of divergence between the chicken and red jungle fowl EAV-E51 sequences suggested that they were more ancient than the other EAVs and may have diverged through mutations that accumulated post-integration. Finally, we showed that the ART-CH elements were chimeric defective ERVs comprising portions of EAV-E51 and EAV-HP rather than authentic retrotransposons.
Collapse
Affiliation(s)
- Melanie Ann Sacco
- Center for Applied Biotechnology Studies, Department of Biological Science, California State University Fullerton, Fullerton, CA 92834-6850, USA
| | - Venugopal K Nair
- Pirbright Institute, Compton Laboratory, Newbury, Berkshire RG20 7NN, UK
| |
Collapse
|