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Oliver C. Chicken metabolism, immobilization, and post-industrial production. SOCIAL STUDIES OF SCIENCE 2025; 55:85-108. [PMID: 38825893 PMCID: PMC11780976 DOI: 10.1177/03063127241247022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Chickens have become emblematic of the Anthropocene: They embody the age of acceleration, (post-) industrial value, and intensification in scientific and technological knowledge and practice. Contemporary chickens are the bearers of significant genetic and nutritional knowledge, experimented upon and 'tweaked' so much so that some have denied that contemporary commercial chickens are chickens at all. This article reconsiders chickens through a metabolic lens, and the notion of metabolism through chickens, arguing that attending to chickens opens up new conceptualizations of life and labour in the metabosphere. The article tells a metabolic history of chickens from ornament to enclosed monocrop, by way of the laboratory and nutritional experiments. Then, it looks at chicken metabolism in three conceptual modes: first, as a conduit for value, metabolizing and enhancing human life for the past century; second, through technological innovations extending the gut outside chickens' immobilized bodies; and third, through the planetary impacts of metabolic porosity in geological manifestations, toxic atmospheres, and viral overflow. Ultimately, this article shows how techno-scientific production of chickens has taken place in and created the metabosphere as a site of experimentation and exploitation.
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Yeomans L. Zooarchaeology of Managed, Captive, Tame, and Domestic Birds: Shifts in Human-Avian Relationships. JOURNAL OF ARCHAEOLOGICAL RESEARCH 2025:s10814-024-09206-5. [PMID: 39882149 PMCID: PMC7617327 DOI: 10.1007/s10814-024-09206-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/10/2024] [Indexed: 01/31/2025]
Abstract
In this paper, I review archaeological evidence for shifting human-avian interactions. Many species of birds, altering their behavior in response to anthropogenic niche construction, experienced an increased encounter rate with humans. Intensification of this relationship led to management and domestication of some taxa. An examination of the methods zooarchaeologists employ to study this changing interaction illustrates the limitations of evidence. Art history, architecture, historical sources, evidence based on modern distributions, and DNA analysis fill in some gaps in our knowledge. It is necessary to develop novel methods to investigate the earlier history of bird-human interactions. We also need to consider other taxa behaviorally amenable to domestication, as there was probably a diverse array of past human-bird relationships that remain unknown. Archaeologically, the relationship between people and birds is fundamental to understanding many symbolic and economic practices central to human societies. This review highlights the varied relationships between humans and birds globally allowing cross-regional examination.
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Affiliation(s)
- Lisa Yeomans
- Department of Cross-Cultural and Regional Studies/Globe Insititute, University of Copenhagen, Copenhagen, Denmark
- Institute of Archaeology, University College London, London, UK
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Mahmood S, Khan MS, Ullah Z, Lawal RA, Hanotte O. The origin of genetic diversity of indigenous cockfighting chickens of Pakistan by analyzing the mtDNA. Heliyon 2024; 10:e27755. [PMID: 38545210 PMCID: PMC10965519 DOI: 10.1016/j.heliyon.2024.e27755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 02/25/2024] [Accepted: 03/06/2024] [Indexed: 11/11/2024] Open
Abstract
In Pakistan, the origin of the indigenous cockfighting chicken (ICC) or gamecock population is unknown. However, it is speculated that this might have been associated with domestication, an event linked to recreational, entertainment (cockfighting), religious or ornamental activities. This study aims to understand the origin and genetic diversity of the ICC population in Pakistan. A total of 185 ICC population and 10 captive Indian red junglefowl (Gallus gallus murghi) were analyzed for genetic diversity indices and phylogenetic reconstruction using a 397 bp of mtDNA D-loop region. It is reported that a total of 43 haplotypes from 38 polymorphic nucleotide sites. The haplotype and nucleotide diversity are also estimated in the range of 0.643-0.909, and 0.00585-0.01575, respectively. The total genetic diversity within the population was 91.52%. Four mitochondrial haplogroups A, B, C and D were identified by median-joining network analysis, two of them have high percentages, haplogroup D (81.6%) and A (15.1%). Phylogenetic analysis showed that the ICC population of Pakistan and Gallus gallus murghi shared haplogroup D. The results of this study showed that sub-haplogroup D17a05, has significantly high haplotype diversity and percentage as compared to previously published studies, this indicated that Pakistan might be one of the centres of domestication for chicken, as it is considered that Southeast Asia is the centre of domestication. Frequencies of Haplogroup A also indicate South-North indices. This research work showed that the indigenous cockfighting chicken population of Pakistan is genetically introgressed from Gallus gallus murghi, and significant variations could be attributed to the underlying differences in the geographics, selection pressures, introgression, and regional practices; and multiple origins of cockfighting chickens' populations around the world which reflected the past trading routes between human communities and civilizations.
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Affiliation(s)
- Sajid Mahmood
- Department of Zoology, Hazara University, Mansehra, 21300, Pakistan
- Department of Zoology, University of Chakwal, Main Campus, Talagang Road, 48800, Chakwal, Pakistan
| | - Mian Sayed Khan
- Department of Zoology, University of Swabi, Khyber Pakhtunkhwa, Pakistan
| | - Zaib Ullah
- School of Life and Environmental Sciences, Deakin University Waurn Ponds Campus, Victoria 3216, Australia
| | - Raman Akinyanju Lawal
- School of Life Sciences, University of Nottingham, University Park, Nottingham, UK
- The Jackson Laboratory, 600 Main Street, Bar Harbor 04609, Maine, USA
| | - Olivier Hanotte
- School of Life Sciences, University of Nottingham, University Park, Nottingham, UK
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Kebede FG, Derks MFL, Dessie T, Hanotte O, Barros CP, Crooijmans RPMA, Komen H, Bastiaansen JWM. Landscape genomics reveals regions associated with adaptive phenotypic and genetic variation in Ethiopian indigenous chickens. BMC Genomics 2024; 25:284. [PMID: 38500079 PMCID: PMC10946127 DOI: 10.1186/s12864-024-10193-6] [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: 10/03/2023] [Accepted: 03/05/2024] [Indexed: 03/20/2024] Open
Abstract
Climate change is a threat to sustainable livestock production and livelihoods in the tropics. It has adverse impacts on feed and water availability, disease prevalence, production, environmental temperature, and biodiversity. Unravelling the drivers of local adaptation and understanding the underlying genetic variation in random mating indigenous livestock populations informs the design of genetic improvement programmes that aim to increase productivity and resilience. In the present study, we combined environmental, genomic, and phenotypic information of Ethiopian indigenous chickens to investigate their environmental adaptability. Through a hybrid sampling strategy, we captured wide biological and ecological variabilities across the country. Our environmental dataset comprised mean values of 34 climatic, vegetation and soil variables collected over a thirty-year period for 260 geolocations. Our biological dataset included whole genome sequences and quantitative measurements (on eight traits) from 513 individuals, representing 26 chicken populations spread along 4 elevational gradients (6-7 populations per gradient). We performed signatures of selection analyses ([Formula: see text] and XP-EHH) to detect footprints of natural selection, and redundancy analyses (RDA) to determine genotype-environment and genotype-phenotype-associations. RDA identified 1909 outlier SNPs linked with six environmental predictors, which have the highest contributions as ecological drivers of adaptive phenotypic variation. The same method detected 2430 outlier SNPs that are associated with five traits. A large overlap has been observed between signatures of selection identified by[Formula: see text]and XP-EHH showing that both methods target similar selective sweep regions. Average genetic differences measured by [Formula: see text] are low between gradients, but XP-EHH signals are the strongest between agroecologies. Genes in the calcium signalling pathway, those associated with the hypoxia-inducible factor (HIF) transcription factors, and sports performance (GALNTL6) are under selection in high-altitude populations. Our study underscores the relevance of landscape genomics as a powerful interdisciplinary approach to dissect adaptive phenotypic and genetic variation in random mating indigenous livestock populations.
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Affiliation(s)
- Fasil Getachew Kebede
- Animal Breeding and Genomics, Wageningen University & Research, Droevendaalsesteeg 1, Wageningen, PB-6708, The Netherlands.
- International Livestock Research Institute, P.O. Box 5689, Addis Ababa, Ethiopia.
| | - Martijn F L Derks
- Animal Breeding and Genomics, Wageningen University & Research, Droevendaalsesteeg 1, Wageningen, PB-6708, The Netherlands
| | - Tadelle Dessie
- International Livestock Research Institute, P.O. Box 5689, Addis Ababa, Ethiopia
| | - Olivier Hanotte
- International Livestock Research Institute, P.O. Box 5689, Addis Ababa, Ethiopia
- School of Life Sciences, The University of Nottingham, Nottingham, NG7 2RD, UK
| | - Carolina Pita Barros
- Animal Breeding and Genomics, Wageningen University & Research, Droevendaalsesteeg 1, Wageningen, PB-6708, The Netherlands
| | - Richard P M A Crooijmans
- Animal Breeding and Genomics, Wageningen University & Research, Droevendaalsesteeg 1, Wageningen, PB-6708, The Netherlands
| | - Hans Komen
- Animal Breeding and Genomics, Wageningen University & Research, Droevendaalsesteeg 1, Wageningen, PB-6708, The Netherlands
| | - John W M Bastiaansen
- Animal Breeding and Genomics, Wageningen University & Research, Droevendaalsesteeg 1, Wageningen, PB-6708, The Netherlands
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Baazaoui I, Bedhiaf-Romdhani S, Mastrangelo S, Lenstra JA, Da Silva A, Benjelloun B, Ciani E. Refining the genomic profiles of North African sheep breeds through meta-analysis of worldwide genomic SNP data. Front Vet Sci 2024; 11:1339321. [PMID: 38487707 PMCID: PMC10938946 DOI: 10.3389/fvets.2024.1339321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 02/13/2024] [Indexed: 03/17/2024] Open
Abstract
Introduction The development of reproducible tools for the rapid genotyping of thousands of genetic markers (SNPs) has promoted cross border collaboration in the study of sheep genetic diversity on a global scale. Methods In this study, we collected a comprehensive dataset of 239 African and Eurasian sheep breeds genotyped at 37,638 filtered SNP markers, with the aim of understanding the genetic structure of 22 North African (NA) sheep breeds within a global context. Results and discussion We revealed asubstantial enrichment of the gene pool between the north and south shores of the Mediterranean Sea, which corroborates the importance of the maritime route in the history of livestock. The genetic structure of North African breeds mirrors the differential composition of genetic backgrounds following the breed history. Indeed, Maghrebin sheep stocks constitute a geographically and historically coherent unit with any breed-level genetic distinctness among them due to considerable gene flow. We detected a broad east-west pattern describing the most important trend in NA fat-tailed populations, exhibited by the genetic closeness of Egyptian and Libyan fat-tailed sheep to Middle Eastern breeds rather than Maghrebin ones. A Bayesian FST scan analysis revealed a set of genes with potentially key adaptive roles in lipid metabolism (BMP2, PDGFD VEGFA, TBX15, and WARS2), coat pigmentation (SOX10, PICK1, PDGFRA, MC1R, and MTIF) and horn morphology RXFP2) in Tunisian sheep. The local ancestry method detected a Merino signature in Tunisian Noire de Thibar sheep near the SULF1gene introgressed by Merino's European breeds. This study will contribute to the general picture of worldwide sheep genetic diversity.
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Affiliation(s)
- Imen Baazaoui
- Laboratory of Animal and Fodder Production, National Institute of Agronomic Research of Tunisia, Ariana, Tunisia
| | - Sonia Bedhiaf-Romdhani
- Laboratory of Animal and Fodder Production, National Institute of Agronomic Research of Tunisia, Ariana, Tunisia
| | - Salvatore Mastrangelo
- Dipartimento Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
| | - Anne Da Silva
- Faculté des Sciences et Techniques de Limoges, E2LIM, Limoges, France
| | - Badr Benjelloun
- National Institute of Agronomic Research (INRA Maroc), Regional Centre of Agronomic Research, Beni Mellal, Morocco
| | - Elena Ciani
- Dipartamento Bioscienze, Biotecnologie, Biofarmaceutica, University of Bari Aldo Moro, Bari, Italy
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Yonezawa T, Mannen H, Honma K, Matsunaga M, Rakotondraparany F, Ratsoavina FM, Wu J, Nishibori M, Yamamoto Y. Origin and spatial population structure of Malagasy native chickens based on mitochondrial DNA. Sci Rep 2024; 14:569. [PMID: 38177203 PMCID: PMC10766636 DOI: 10.1038/s41598-023-50708-x] [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: 08/03/2023] [Accepted: 12/23/2023] [Indexed: 01/06/2024] Open
Abstract
Since Malagasy human culture became established in a multi-layered way by genetic admixture of Austronesian (Indonesia), Bantu (East Africa) and West Asian populations, the Malagasy native livestock should also have originated from these regions. While recent genetic studies revealed that Malagasy native dogs and goats were propagated from Africa, the origin of Malagasy native chickens is still controversial. Here, we conducted a phylogeographic analysis of the native chickens, focusing on the historical relationships among the Indian Ocean rim countries and based on mitochondrial D-loop sequences. Although previous work suggested that the rare Haplogroup D occurs with high frequencies in Island Southeast Asia-Pacific, East Africa and Madagascar, the major mitochondrial lineage in Malagasy populations is actually not Haplogroup D but the Sub-haplogroup C2, which is also observed in East Africa, North Africa, India and West Asia. We demonstrate that the Malagasy native chickens were propagated directly from West Asia (including India and North Africa), and not via East Africa. Furthermore, they display clear genetic differentiation within Madagascar, separated into the Highland and Lowland regions as seen in the human genomic landscape on this island. Our findings provide new insights for better understanding the intercommunion of material/non-material cultures within and around Madagascar.
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Affiliation(s)
- Takahiro Yonezawa
- Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, 739-8528, Japan.
- Faculty of Agriculture, Tokyo University of Agriculture, 1737 Funako, Atsugi, Kanagawa, 243-0034, Japan.
| | - Hideyuki Mannen
- Laboratory of Animal Breeding and Genetics, Graduate School of Agricultural Science, Kobe University, Nada, Kobe, 657-8501, Japan
| | - Kaho Honma
- Graduate School of Biosphere Science, Hiroshima University, Higashi-Hiroshima, 739-8528, Japan
- Chubu Regional Office, Agriculture and Forestry Bureau, Tottori, 682-0802, Japan
| | - Megumi Matsunaga
- Graduate School of Biosphere Science, Hiroshima University, Higashi-Hiroshima, 739-8528, Japan
| | - Felix Rakotondraparany
- Department of Zoology and Animal Biodiversity, Faculty of Science, University of Antananarivo, BP 906, 101, Antananarivo, Madagascar
| | - Fanomezana Mihaja Ratsoavina
- Department of Zoology and Animal Biodiversity, Faculty of Science, University of Antananarivo, BP 906, 101, Antananarivo, Madagascar
| | - Jiaqi Wu
- Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, 739-8528, Japan
- Department of Molecular Life Science, Tokai University School of Medicine, 143 Shimo-Kasuya, Isehara, Kanagawa, 259-1193, Japan
| | - Masahide Nishibori
- Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, 739-8528, Japan.
| | - Yoshio Yamamoto
- Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, 739-8528, Japan.
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Pushpa, Magotra A, Patil CS, Bangar YC, Sindhu V, Chaudhary P, Garg AR. Temporal variation and risk factors associated with reproductive disorders in Hardhenu (Bos taurus × Bos indicus) dairy cattle. Reprod Domest Anim 2023; 58:1404-1412. [PMID: 37605333 DOI: 10.1111/rda.14455] [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: 06/26/2023] [Revised: 07/29/2023] [Accepted: 08/03/2023] [Indexed: 08/23/2023]
Abstract
This study aimed to investigate the incidence and effect of non-genetic factors on reproductive disorders in the Hardhenu cattle population over a period of 11 years (2010-2021). The study included a total of 1340 cattle for calculating the incidence of reproductive disorders and analysed the occurrence of different reproductive disorders. In the present study, retention of placenta had highest frequency, accounting for approximately 18.36% of the incidence, followed by repeater cows (11.19%), metritis (6.27%), dystocia (0.60%), anestrus (0.45%) and prolapse (0.37%). Chi-square analysis revealed a significant relationship between the year and the incidence of reproductive disorders (p < .05). Logistic regression analysis of temporal variability of reproductive disorders was also analysed, with an increase in the odds from 2014 to 2020, peaking in 2017-2018 and 2018-2019. Logistic regression analysis showed that season and parity did not significantly influence the incidence of reproductive disorders. However, period of calving had a significant impact. Cows calving between 2008 and 2014 had a significantly lower odds ratio (0.13, 95% CI: 0.06-0.30), indicating a decreased risk, while those calving between 2014 and 2017 had a higher odds ratio (0.59, 95% CI: 0.38-0.90), suggesting an increased risk of reproductive disorders. Compared to parity 3, parity 1 (1.344, 95% CI: 0.869-2.08) and parity 2 (1.193, 95% CI: 0.768-1.851) showed highest odds ratio. Similarly, the odds ratio for winter (1.64, 95% CI: 0.93-2.89), summer (1.71, 95% CI: 0.89-3.26) and rainy season (1.64, 95% CI: 0.92-2.91) was higher as compared to autumn. The present results provided valuable insights into the incidence of various reproductive disorders and associated risk factors in Hardhenu cattle. These results can be utilized for targeted interventions to enhance reproductive health and overall productivity in dairy cattle.
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Affiliation(s)
- Pushpa
- Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, India
| | - Ankit Magotra
- Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, India
| | - C S Patil
- Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, India
| | - Y C Bangar
- Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, India
| | - Vikas Sindhu
- Department of Animal Nutrition, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, India
| | - Pradeep Chaudhary
- Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, India
| | - Asha Rani Garg
- Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, India
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Gheyas A, Vallejo-Trujillo A, Kebede A, Dessie T, Hanotte O, Smith J. Whole genome sequences of 234 indigenous African chickens from Ethiopia. Sci Data 2022; 9:53. [PMID: 35165296 PMCID: PMC8844291 DOI: 10.1038/s41597-022-01129-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 12/15/2021] [Indexed: 11/15/2022] Open
Abstract
Indigenous chickens predominate poultry production in Africa. Although preferred for backyard farming because of their adaptability to harsh tropical environments, these populations suffer from relatively low productivity compared to commercial lines. Genome analyses can unravel the genetic potential of improvement of these birds for both production and resilience traits for the benefit of African poultry farming systems. Here we report whole-genome sequences of 234 indigenous chickens from 24 Ethiopian populations distributed under diverse agro-climatic conditions. The data represents over eight terabytes of paired-end sequences from the Ilumina HiSeqX platform with an average coverage of about 57X. Almost 99% of the sequence reads could be mapped against the chicken reference genome (GRCg6a), confirming the high quality of the data. Variant calling detected around 15 million SNPs, of which about 86% are known variants (i.e., present in public databases), providing further confidence on the data quality. The dataset provides an excellent resource for investigating genetic diversity and local environmental adaptations with important implications for breed improvement and conservation purposes. Measurement(s) | genome | Technology Type(s) | DNA sequencing | Factor Type(s) | animal population | Sample Characteristic - Organism | Gallus gallus | Sample Characteristic - Location | Ethiopia |
Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.16999891
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Gheyas AA, Vallejo-Trujillo A, Kebede A, Lozano-Jaramillo M, Dessie T, Smith J, Hanotte O. Integrated Environmental and Genomic Analysis Reveals the Drivers of Local Adaptation in African Indigenous Chickens. Mol Biol Evol 2021; 38:4268-4285. [PMID: 34021753 PMCID: PMC8476150 DOI: 10.1093/molbev/msab156] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Breeding for climate resilience is currently an important goal for sustainable livestock production. Local adaptations exhibited by indigenous livestock allow investigating the genetic control of this resilience. Ecological niche modeling (ENM) provides a powerful avenue to identify the main environmental drivers of selection. Here, we applied an integrative approach combining ENM with genome-wide selection signature analyses (XPEHH and Fst) and genotype-environment association (redundancy analysis), with the aim of identifying the genomic signatures of adaptation in African village chickens. By dissecting 34 agro-climatic variables from the ecosystems of 25 Ethiopian village chicken populations, ENM identified six key drivers of environmental challenges: One temperature variable-strongly correlated with elevation, three precipitation variables as proxies for water availability, and two soil/land cover variables as proxies of food availability for foraging chickens. Genome analyses based on whole-genome sequencing (n = 245), identified a few strongly supported genomic regions under selection for environmental challenges related to altitude, temperature, water scarcity, and food availability. These regions harbor several gene clusters including regulatory genes, suggesting a predominantly oligogenic control of environmental adaptation. Few candidate genes detected in relation to heat-stress, indicates likely epigenetic regulation of thermo-tolerance for a domestic species originating from a tropical Asian wild ancestor. These results provide possible explanations for the rapid past adaptation of chickens to diverse African agro-ecologies, while also representing new landmarks for sustainable breeding improvement for climate resilience. We show that the pre-identification of key environmental drivers, followed by genomic investigation, provides a powerful new approach for elucidating adaptation in domestic animals.
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Affiliation(s)
- Almas A Gheyas
- Centre for Tropical Livestock Genetics and Health (CTLGH), The Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Adriana Vallejo-Trujillo
- Cells, Organism and Molecular Genetics, School of Life Sciences, University of Nottingham, Nottingham, United Kingdom
| | - Adebabay Kebede
- LiveGene—CTLGH, International Livestock Research Institute (ILRI) Ethiopia, Addis Ababa, Ethiopia
- Amhara Regional Agricultural Research Institute, Bahir Dar, Ethiopia
| | - Maria Lozano-Jaramillo
- Wageningen University & Research Animal Breeding and Genomics, Wageningen, The Netherlands
| | - Tadelle Dessie
- LiveGene—CTLGH, International Livestock Research Institute (ILRI) Ethiopia, Addis Ababa, Ethiopia
| | - Jacqueline Smith
- Centre for Tropical Livestock Genetics and Health (CTLGH), The Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Olivier Hanotte
- Cells, Organism and Molecular Genetics, School of Life Sciences, University of Nottingham, Nottingham, United Kingdom
- LiveGene—CTLGH, International Livestock Research Institute (ILRI) Ethiopia, Addis Ababa, Ethiopia
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10
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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.
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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
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11
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Yang X, Liu CL, Yang BG, Hu HQ, Ying G, Yi G, Chen BE, Yuan Y, Yong-Meng H, Zhang WY, Zhang DP, E GX, Li MH. Investigating genetic diversity and population phylogeny of five Chongqing local chicken populations autosomal using microsatellites. Anim Biotechnol 2021; 33:1190-1197. [PMID: 33635178 DOI: 10.1080/10495398.2021.1880421] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
The genetic diversity and population structures of five Chongqing local chicken populations were investigated using by 24 microsatellite markers. Results revealed that the mean number of alleles (NA) ranged from 7.08 (Daninghe chicken, DN) to 8.46 (Nanchuan chicken, NC). The highest observed heterozygosity (HO) and expected heterozygosity (HE) were observed in DN (HO = 0.7252; HE = 0.7409) and the lowest HO and HE were observed in XS (Xiushan native chicken [XS], HO = 0.5910 and HE = 0.6697). The inbreeding coefficient (FIS) within population ranged from 0.022 (DN) to 0.119 (XS). Among the 24 microsatellite markers, four loci (MCW0111, MCW0016, ADL0278, and MCW0104) deviated from the Hardy-Weinberg equilibrium in all the studied populations. The results of population polygenetic analysis based on Nei's genetic distance and STRUCTURE software showed that the clustering of the five populations was incomplete consistent with geographical distribution. Moreover, a large number of gene flows were widespread among different populations, suggesting that genetic material exchanges occurred due to human activities and migration which was also verified by PCoA. In summary, this study preliminarily showed that Chongqing local chicken populations had rich genetic diversity and remarkable genetic divergence, but still high risk in conversion. These findings would be useful to the management of conservation strategies and the utilization of local chicken populations in further.
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Affiliation(s)
- Xue Yang
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage and Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Cheng-Li Liu
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage and Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Bai-Gao Yang
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage and Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Hai-Qiang Hu
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage and Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Gong Ying
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage and Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Guo Yi
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage and Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Bo-Er Chen
- Chongqing Agriculture and Rural Affairs Committee of Tongnan, Chongqing, China
| | - Ying Yuan
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage and Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - He Yong-Meng
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage and Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Wei-Yi Zhang
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage and Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Dan-Ping Zhang
- Dazhou Animal Husbandry Technology Extension Station, Dazhou, China
| | - Guang-Xin E
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage and Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Ming-Hui Li
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage and Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
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12
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Liverani M. Technological Innovations Transfer through the Hyper-Arid Belt. MOBILE TECHNOLOGIES IN THE ANCIENT SAHARA AND BEYOND 2020:53-67. [DOI: 10.1017/9781108908047.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
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13
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Ahmad HI, Ahmad MJ, Jabbir F, Ahmar S, Ahmad N, Elokil AA, Chen J. The Domestication Makeup: Evolution, Survival, and Challenges. Front Ecol Evol 2020. [DOI: 10.3389/fevo.2020.00103] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
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14
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Using phenotypic distribution models to predict livestock performance. Sci Rep 2019; 9:15371. [PMID: 31653937 PMCID: PMC6814727 DOI: 10.1038/s41598-019-51910-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Accepted: 10/09/2019] [Indexed: 11/24/2022] Open
Abstract
Livestock production systems of the developing world use indigenous breeds that locally adapted to specific agro-ecologies. Introducing commercial breeds usually results in lower productivity than expected, as a result of unfavourable genotype by environment interaction. It is difficult to predict of how these commercial breeds will perform in different conditions encountered in e.g. sub-Saharan Africa. Here, we present a novel methodology to model performance, by using growth data from different chicken breeds that were tested in Ethiopia. The suitability of these commercial breeds was tested by predicting the response of body weight as a function of the environment across Ethiopia. Phenotype distribution models were built using machine learning algorithms to make predictions of weight in the local environmental conditions based on the productivity for the breed. Based on the predicted body weight, breeds were assigned as being most suitable in a given agro-ecology or region. We identified the most important environmental variables that explained the variation in body weight across agro-ecologies for each of the breeds. Our results highlight the importance of acknowledging the role of environment in predicting productivity in scavenging chicken production systems. The use of phenotype distribution models in livestock breeding is recommended to develop breeds that will better fit in their intended production environment.
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15
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Otecko NO, Ogali I, Ng'ang'a SI, Mauki DH, Ogada S, Moraa GK, Lichoti J, Agwanda B, Peng MS, Ommeh SC, Zhang YP. Phenotypic and morphometric differentiation of indigenous chickens from Kenya and other tropical countries augments perspectives for genetic resource improvement and conservation. Poult Sci 2019; 98:2747-2755. [PMID: 30850827 PMCID: PMC6591685 DOI: 10.3382/ps/pez097] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Accepted: 02/25/2019] [Indexed: 12/20/2022] Open
Abstract
Indigenous chickens at the Swahili coast and other traditional migratory corridors in Kenya represent important populations that are inconclusively characterized. Using a comprehensive dataset of Kenyan indigenous chickens and additional mined data of chickens from 8 African and 5 Asian countries, we performed univariate and multivariate assessments to uncover the underlying phenotypic and morphometric variability. Kenyan indigenous chickens expressed differentiation of several qualitative and quantitative traits, both among different counties in the Swahili coast, and among coastal, western, and northern migratory corridors. There was a substantial population stratification of these chickens, particularly distinctive clustering of chickens from Marsabit, Lamu, and Kilifi counties. The pooled dataset further clarified a closer phenotypic and morphometric proximity of chickens within different geographical regions. We additionally revealed a preponderance of bantam and rumpless traits to hot and humid locales, and feathered shanks to cooler regions. Currently, most chicken breeding programs in developing countries rely on phenotypic and morphometric properties. Hence, the high chicken diversity and population stratification observed in our study, possibly shaped by natural and artificial selective pressures, reveal opportunities for complementary phenotypic and genotypic assessments to identify resources for effective breed improvement and conservation strategies of indigenous chickens in the tropics.
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Affiliation(s)
- Newton O Otecko
- Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Sino-Africa Joint Research Center, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya
| | - Irene Ogali
- Institute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya.,Veterinary Research Institute, Kenya Agriculture and Livestock Research Organization, Nairobi 00200, Kenya
| | - Said I Ng'ang'a
- Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, 650223, China
| | - David H Mauki
- Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, 650223, China
| | - Stephen Ogada
- Institute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya.,Sino-Africa Joint Research Center, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya
| | - Grace K Moraa
- Institute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya.,Sino-Africa Joint Research Center, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya
| | - Jacqueline Lichoti
- Directorate of Veterinary Services, State Department of Livestock, Ministry of Agriculture, Livestock and Fisheries, Nairobi 00625, Kenya
| | - Bernard Agwanda
- Department of Zoology, National Museums of Kenya, Nairobi 00100, Kenya
| | - Min-Shen Peng
- Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, 650223, China
| | - Sheila C Ommeh
- Institute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya.,Sino-Africa Joint Research Center, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya
| | - Ya-Ping Zhang
- Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, 650223, China.,State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming 650091, China
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16
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Mwambene PL, Kyallo M, Machuka E, Githae D, Pelle R. Genetic diversity of 10 indigenous chicken ecotypes from Southern Highlands of Tanzania based on Major Histocompatibility Complex-linked microsatellite LEI0258 marker typing. Poult Sci 2019; 98:2734-2746. [PMID: 30877744 PMCID: PMC6591683 DOI: 10.3382/ps/pez076] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Accepted: 02/05/2019] [Indexed: 01/21/2023] Open
Abstract
Unraveling the genetic diversity of livestock species is central to understanding their value and importance for conservation and improvement in diverse production environments. In developing countries, information on genetic attributes of many livestock species is unfortunately scanty to support well-informed decision-making upon relevant management strategies. This study aimed at investigating allelic variability, genetic diversity, and genetic relationships of 10 indigenous chicken ecotypes from Southern Highlands of Tanzania using the Major Histocompatibility Complex-linked LEI0258 marker. A total of 400 DNA samples, 40 per ecotype, were genotyped by capillary electrophoresis. Thirty different alleles with sizes ranging from 197 to 569 bp were determined. The number of alleles ranged from 17 (Itunduma) to 21 (Mbeya), with an average of 19.20 alleles per ecotype. Allelic polymorphism was further evaluated through genotyping by Sanger sequencing. Thirty-three DNA samples with different fragment sizes were re-amplified and their alleles sequenced to depict polymorphism based on a combination of two repeat regions at 12 and 13 bp, respectively, and flanking regions with SNP and indels. The repeat region at 13 bp appeared 1 to 28 times, whereas the region at 12 bp appeared 3 to 19 times in all sequenced fragments. The numbers of indels and SNP determined were 7 and 9, respectively. From capillary electrophoresis, the Chunya and Msimbazi ecotypes exhibited the highest genetic diversity (0.937), whereas the lowest value (0.910) was observed from the Mbarali ecotype, with an average of 0.925. The Namtumbo and Wanging'ombe ecotypes showed high inbreeding coefficients (FIS > 0.05), whereas a high excess heterozygote value (FIS = -0.098) was observed from the Njombe ecotype. Two percent of the genetic diversity was due to differences among ecotypes, and the rest was due to differences among individuals within the ecotypes. Despite the overall low genetic differentiation, both fragment and sequencing analyses depicted a high allelic and genetic variability across 10 chicken ecotypes. These results therefore, underscore the importance of establishing appropriate conservation and management strategies to capitalize on observed variability and maintain genetic flexibility across diverse production environments.
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Affiliation(s)
- Pius L Mwambene
- Tanzania Livestock Research Institute (TALIRI) - Uyole, Department of Research and Development, P.O. Box 6191, Mbeya, Tanzania
- Biosciences eastern and central Africa International Livestock Research Institute (BecA-ILRI) Hub, Capacity Building Unit, P.O. Box 30709-00100, Nairobi, Kenya
| | - Martina Kyallo
- Biosciences eastern and central Africa International Livestock Research Institute (BecA-ILRI) Hub, Capacity Building Unit, P.O. Box 30709-00100, Nairobi, Kenya
| | - Eunice Machuka
- Biosciences eastern and central Africa International Livestock Research Institute (BecA-ILRI) Hub, Capacity Building Unit, P.O. Box 30709-00100, Nairobi, Kenya
| | - Dedan Githae
- Biosciences eastern and central Africa International Livestock Research Institute (BecA-ILRI) Hub, Capacity Building Unit, P.O. Box 30709-00100, Nairobi, Kenya
| | - Roger Pelle
- Biosciences eastern and central Africa International Livestock Research Institute (BecA-ILRI) Hub, Capacity Building Unit, P.O. Box 30709-00100, Nairobi, Kenya
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17
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Venkatas J, Adeleke M, Peters S, Adebambo O. Phenotypic Differentiation of Purebred and Crossbred Indigenous Chicken Genotypes Using Multivariate Analysis. ACTA ACUST UNITED AC 2019. [DOI: 10.3923/ijps.2019.301.308] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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18
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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.
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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.
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19
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Bennett CE, Thomas R, Williams M, Zalasiewicz J, Edgeworth M, Miller H, Coles B, Foster A, Burton EJ, Marume U. The broiler chicken as a signal of a human reconfigured biosphere. ROYAL SOCIETY OPEN SCIENCE 2018; 5:180325. [PMID: 30662712 PMCID: PMC6304135 DOI: 10.1098/rsos.180325] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Accepted: 11/08/2018] [Indexed: 05/29/2023]
Abstract
Changing patterns of human resource use and food consumption have profoundly impacted the Earth's biosphere. Until now, no individual taxa have been suggested as distinct and characteristic new morphospecies representing this change. Here we show that the domestic broiler chicken is one such potential marker. Human-directed changes in breeding, diet and farming practices demonstrate at least a doubling in body size from the late medieval period to the present in domesticated chickens, and an up to fivefold increase in body mass since the mid-twentieth century. Moreover, the skeletal morphology, pathology, bone geochemistry and genetics of modern broilers are demonstrably different to those of their ancestors. Physical and numerical changes to chickens in the second half of the twentieth century, i.e. during the putative Anthropocene Epoch, have been the most dramatic, with large increases in individual bird growth rate and population sizes. Broiler chickens, now unable to survive without human intervention, have a combined mass exceeding that of all other birds on Earth; this novel morphotype symbolizes the unprecedented human reconfiguration of the Earth's biosphere.
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Affiliation(s)
- Carys E. Bennett
- School of Geography, Geology and the Environment, University of Leicester, Leicester LE1 7RH, UK
| | - Richard Thomas
- School of Archaeology and Ancient History, University of Leicester, Leicester LE1 7RH, UK
| | - Mark Williams
- School of Geography, Geology and the Environment, University of Leicester, Leicester LE1 7RH, UK
| | - Jan Zalasiewicz
- School of Geography, Geology and the Environment, University of Leicester, Leicester LE1 7RH, UK
| | - Matt Edgeworth
- School of Archaeology and Ancient History, University of Leicester, Leicester LE1 7RH, UK
| | - Holly Miller
- Department of Classics and Archaeology, University Park, University of Nottingham, Nottingham NG7 2RD, UK
| | - Ben Coles
- School of Geography, Geology and the Environment, University of Leicester, Leicester LE1 7RH, UK
| | - Alison Foster
- School of Archaeology and Ancient History, University of Leicester, Leicester LE1 7RH, UK
| | - Emily J. Burton
- School of Animal, Rural and Environmental Sciences, Nottingham Trent University, Nottingham NG25 0QF, UK
| | - Upenyu Marume
- School of Agriculture Science, North West University, P Bag X 2046, Mmabatho 2735, South Africa
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20
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Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones. Animal 2018; 13:1536-1543. [PMID: 30419993 PMCID: PMC6582082 DOI: 10.1017/s1751731118003002] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Predicting breed-specific environmental suitability has been problematic in livestock production. Native breeds have low productivity but are thought to be more robust to perform under local conditions than exotic breeds. Attempts to introduce genetically improved exotic breeds are generally unsuccessful, mainly due to the antagonistic environmental conditions. Knowledge of the environmental conditions that are shaping the breed would be needed to determine its suitability to different locations. Here, we present a methodology to predict the suitability of breeds for different agro-ecological zones using Geographic Information Systems tools and predictive habitat distribution models. This methodology was tested on the current distribution of two introduced chicken breeds in Ethiopia: the Koekoek, originally from South Africa, and the Fayoumi, originally from Egypt. Cross-validation results show this methodology to be effective in predicting breed suitability for specific environmental conditions. Furthermore, the model predicts suitable areas of the country where the breeds could be introduced. The specific climatic parameters that explained the potential distribution of each of the breeds were similar to the environment from which the breeds originated. This novel methodology finds application in livestock programs, allowing for a more informed decision when designing breeding programs and introduction programs, and increases our understanding of the role of the environment in livestock productivity.
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21
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Fleming DS, Weigend S, Simianer H, Weigend A, Rothschild M, Schmidt C, Ashwell C, Persia M, Reecy J, Lamont SJ. Genomic Comparison of Indigenous African and Northern European Chickens Reveals Putative Mechanisms of Stress Tolerance Related to Environmental Selection Pressure. G3 (BETHESDA, MD.) 2017; 7:1525-1537. [PMID: 28341699 PMCID: PMC5427493 DOI: 10.1534/g3.117.041228] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2016] [Accepted: 03/15/2017] [Indexed: 01/11/2023]
Abstract
Global climate change is increasing the magnitude of environmental stressors, such as temperature, pathogens, and drought, that limit the survivability and sustainability of livestock production. Poultry production and its expansion is dependent upon robust animals that are able to cope with stressors in multiple environments. Understanding the genetic strategies that indigenous, noncommercial breeds have evolved to survive in their environment could help to elucidate molecular mechanisms underlying biological traits of environmental adaptation. We examined poultry from diverse breeds and climates of Africa and Northern Europe for selection signatures that have allowed them to adapt to their indigenous environments. Selection signatures were studied using a combination of population genomic methods that employed FST , integrated haplotype score (iHS), and runs of homozygosity (ROH) procedures. All the analyses indicated differences in environment as a driver of selective pressure in both groups of populations. The analyses revealed unique differences in the genomic regions under selection pressure from the environment for each population. The African chickens showed stronger selection toward stress signaling and angiogenesis, while the Northern European chickens showed more selection pressure toward processes related to energy homeostasis. The results suggest that chromosomes 2 and 27 are the most diverged between populations and the most selected upon within the African (chromosome 27) and Northern European (chromosome 2) birds. Examination of the divergent populations has provided new insight into genes under possible selection related to tolerance of a population's indigenous environment that may be baselines for examining the genomic contribution to tolerance adaptions.
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Affiliation(s)
| | | | | | | | | | | | - Chris Ashwell
- North Carolina State University, Raleigh, North Carolina 27695
| | - Mike Persia
- Virginia Tech University, Blacksburg, Virginia 24061
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22
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Eltanany MA, Hemeda SA. Deeper insight into maternal genetic assessments and demographic history for Egyptian indigenous chicken populations using mtDNA analysis. J Adv Res 2016; 7:615-23. [PMID: 27489728 PMCID: PMC4949740 DOI: 10.1016/j.jare.2016.06.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2016] [Revised: 06/19/2016] [Accepted: 06/23/2016] [Indexed: 11/23/2022] Open
Abstract
This study principally sought to reveal the demographic expansion of Egyptian indigenous chickens (EIC) using representative breeds: Sinai (North), Fayoumi (Middle) and Dandarawi (South) of Egypt as well as to deeply clarify their genetic diversity, possible matrilineal origin and dispersal routes. A total of 33 partial mitochondrial DNA sequences were generated from EIC and compared with a worldwide reference dataset of 1290 wild and domestic chicken sequences. Study populations had 12 polymorphic variable sites and 7 haplotypes. A lack of maternal substructure between EIC was detected (F ST = 0.003). The unimodal mismatch distribution and negative values of Tajima's D (-0.659) and Fu's Fs (-0.157) indicated demographic expansion among EIC and pointed to Fayoumi as the oldest EIC population. Egyptian haplotypes were clustered phylogenetically into two divergent clades. Their phylogeography revealed an ancient single maternal lineage of Egyptian chickens likely derived from Indian-Subcontinent. Moreover, a recent maternal commercial heritage possibly originated in Yunnan-Province and/or surrounding areas was admixed restrictedly into Sinai. It is implied that Egypt was an entry point for Indian chicken into Africa and its further dispersal route to Europe. This study provides a clue supporting the previous assumption that urged utilizing consistent founder populations having closely related progenitors for synthetizing a stabilized homogenous crossbreed as a sustainable discipline in breeding program.
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Affiliation(s)
- Marwa A. Eltanany
- Department for Animal Wealth Development, Faculty of Veterinary Medicine, Benha University, 13736 Moshtohor, Toukh, Egypt
| | - Shabaan A. Hemeda
- Department for Animal Husbandry and Animal Wealth Development, Faculty of Veterinary Medicine, Alexandria University, Egypt
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23
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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
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24
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Zaheer K. An Updated Review on Chicken Eggs: Production, Consumption, Management Aspects and Nutritional Benefits to Human Health. ACTA ACUST UNITED AC 2015. [DOI: 10.4236/fns.2015.613127] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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In vivo anthelmintic efficacy of Aloe ferox, Agave sisalana, and Gunnera perpensa in village chickens naturally infected with Heterakis gallinarum. Trop Anim Health Prod 2014; 47:131-8. [PMID: 25311442 DOI: 10.1007/s11250-014-0696-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2014] [Accepted: 09/30/2014] [Indexed: 10/24/2022]
Abstract
The study was conducted to determine the anthelmintic efficacy of Aloe ferox, Agave sisalana, and Gunnera perpensa against Heterakis gallinarum in village chickens. The chickens naturally infected with H. gallinarum were randomly divided into 14 groups of eight chickens and orally administered distilled water (negative control), mebendazole (positive control), and graded levels (50-, 100-, 200-, and 400-mg/kg doses) of the three plant extracts. At days 0, 7, and 14, the floatation technique was used to determine fecal egg counts and H. gallinarum worms from chicken ceca were counted at days 0 and 14. Egg count reduction percentage (ECR%) was high at day 7 for all the test materials except for A. sisalana (100 mg/kg) that had 33%. At day 14, ECR% was high for all the other test materials save for A. ferox (200 mg/kg), mebendazole, and distilled water which was 50, 32, and 50%, respectively. A. ferox (200 mg/kg), G. perpensa (200 and 400 mg/kg), and A. sisalana (50 and 100 mg/kg) had the highest (85, 78, 74, 86, and 73%, respectively) worm count reduction percentage. The plants had anthelmintic properties. Advocacy and utilization of these plants in improving the health of village chickens could lead to increased productivity, boosting profits for the poultry industry thereby enabling it to meet the supply of animal protein and enhance livelihoods. It is imperative to determine compounds in the crude extracts of these medicinal plants which are responsible for the anthelmintic activities and their mechanism of action.
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Lyimo CM, Weigend A, Msoffe PL, Eding H, Simianer H, Weigend S. Global diversity and genetic contributions of chicken populations from African, Asian and European regions. Anim Genet 2014; 45:836-48. [DOI: 10.1111/age.12230] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/29/2014] [Indexed: 01/15/2023]
Affiliation(s)
- C. M. Lyimo
- Institute of Farm Animal Genetics; Friedrich-Loeffler-Institut; 31535 Neustadt-Mariensee Germany
- Animal Breeding and Genetics Group; Department of Animal Sciences; Georg-August-Universität Göttingen; 37075 Göttingen Germany
- Sokoine University of Agriculture; PO Box 3000 Morogoro Tanzania
| | - A. Weigend
- Institute of Farm Animal Genetics; Friedrich-Loeffler-Institut; 31535 Neustadt-Mariensee Germany
| | - P. L. Msoffe
- Sokoine University of Agriculture; PO Box 3000 Morogoro Tanzania
- School of Biological Sciences; University of Dodoma; PO Box 259 Dodoma Tanzania
| | - H. Eding
- Animal Evaluations Unit; CRV; PO Box 454, 6800 AL Arnhem The Netherlands
| | - H. Simianer
- Animal Breeding and Genetics Group; Department of Animal Sciences; Georg-August-Universität Göttingen; 37075 Göttingen Germany
| | - S. Weigend
- Institute of Farm Animal Genetics; Friedrich-Loeffler-Institut; 31535 Neustadt-Mariensee Germany
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Phylogenetic Analysis of South East Asian Countries Chickens Based on Mitochondrial DNA Variations. J Poult Sci 2014. [DOI: 10.2141/jpsa.0130190] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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Mwacharo JM, Nomura K, Hanada H, Han JL, Amano T, Hanotte O. Reconstructing the origin and dispersal patterns of village chickens across East Africa: insights from autosomal markers. Mol Ecol 2013; 22:2683-97. [PMID: 23611649 PMCID: PMC3664419 DOI: 10.1111/mec.12294] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2011] [Revised: 01/30/2013] [Accepted: 02/13/2013] [Indexed: 11/27/2022]
Abstract
Unravelling the genetic history of any livestock species is central to understanding the origin, development and expansion of agricultural societies and economies. Domestic village chickens are widespread in Africa. Their close association with, and reliance on, humans for long-range dispersal makes the species an important biological marker in tracking cultural and trading contacts between human societies and civilizations across time. Archaezoological and linguistic evidence suggest a complex history of arrival and dispersion of the species on the continent, with mitochondrial DNA (mtDNA) D-loop analysis revealing the presence of five distinct haplogroups in East African village chickens. It supports the importance of the region in understanding the history of the species and indirectly of human interactions. Here, through a detailed analysis of 30 autosomal microsatellite markers genotyped in 657 village chickens from four East African countries (Kenya, Uganda, Ethiopia and Sudan), we identify three distinct autosomal gene pools (I, II and III). Gene pool I is predominantly found in Ethiopia and Sudan, while II and III occur in both Kenya and Uganda. A gradient of admixture for gene pools II and III between the Kenyan coast and Uganda's hinterland (P = 0.001) is observed, while gene pool I is clearly separated from the other two. We propose that these three gene pools represent genetic signatures of separate events in the history of the continent that relate to the arrival and dispersal of village chickens and humans across the region. Our results provide new insights on the history of chicken husbandry which has been shaped by terrestrial and maritime contacts between ancient and modern civilizations in Asia and East Africa.
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Affiliation(s)
- J M Mwacharo
- Centre for Genetics and Genomics, School of Biology, University Park, University of Nottingham, Nottingham, UK.
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