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Alsafy MAM, El-Gendy SAA, Derbalah A, Rashwan AM, Haddad SS. Scanning electron microscopy and morphometric analysis of the hair in dromedaries with SEM-EDX in relation to age. BMC ZOOL 2024; 9:17. [PMID: 39010185 PMCID: PMC11247770 DOI: 10.1186/s40850-024-00204-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 06/18/2024] [Indexed: 07/17/2024] Open
Abstract
BACKGROUND Hair characterization is critical for determining animal individuality throughout life. This study aimed to assess the morphological features of dromedary camel hair in relation to age. MATERIALS AND METHODS Hair samples were obtained from the camel humps of 30 dromedary camels separated into three groups: G1 (n:10) aged one-year, G2 (n:10) aged 3-5 years, and G3 (n:10) at the age of 8-10 years. The hair was examined using light microscopy, SEM, and SEM-EDX. RESULTS The Maghrebi camel had varied medulla patterns and structures across the ages. In the G1 group 75% had continuous medulla patterns and amorphous medulla structures, compared to 70% in G2, and 90% in G3. The medulla index increased with age, rising from 0.3 to 0.77%. The shaft width grew in size from G1 to G2, then fell to approximately one-third of the G2 size at G3. The cortex and cuticle widths were also determined by age, and they increased in the G1 compared to G3 camels. The shape of the cuticle scales in G1 camels was wavy, like mountain tops with irregular edges, within G2 camels the scales were particularly long, oval-shaped scales with smooth, wavy borders. The scales of the older G3 camels were quite long and rectangular. SEM-EDX spectra recognized carbon, oxygen, nitrogen, sulfur, calcium, aluminum, silicon, and potassium at the medulla and cortex. Sulfur levels were highest in the G2 samples but lowest in the G1 samples. CONCLUSION The dromedary camel's hair structure and mineral content, particularly carbon and nitrogen, differed as camels aged.
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Affiliation(s)
- Mohamed A M Alsafy
- Department of Anatomy and Embryology, Faculty of Veterinary Medicine, Alexandria University, P.O. 21944, Abis 10th, Alexandria, Egypt.
| | - Samir A A El-Gendy
- Department of Anatomy and Embryology, Faculty of Veterinary Medicine, Alexandria University, P.O. 21944, Abis 10th, Alexandria, Egypt
| | - Amira Derbalah
- Histology and Cytology Department, Faculty of Veterinary Medicine, Alexandria University, P.O. 21944, Abis 10th, Alexandria, Egypt
| | - Ahmed M Rashwan
- Department of Anatomy and Embryology, Faculty of Veterinary Medicine, Damanhour University, Damanhour, 22511, Egypt
- Laboratory of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Seham S Haddad
- Department of Anatomy and Embryology, Faculty of Veterinary Medicine, University of Sadat City, Sadat City, 32897, Egypt
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2
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Alhaddad H, Powell BB, Pinto LD, Sutter N, Brooks SA, Alhajeri BH. Geometric morphometrics of face profile across horse breeds and within Arabian horses. J Equine Vet Sci 2024; 132:104980. [PMID: 38070586 DOI: 10.1016/j.jevs.2023.104980] [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: 08/03/2023] [Revised: 11/08/2023] [Accepted: 12/06/2023] [Indexed: 12/20/2023]
Abstract
Horse traits under selection are largely quantitative and affected by multiple genes. Horse face shape is an example of a continuous trait, which due to the reliance on observational assessments, is classified into; "dished", "straight", and "roman-nosed". This categorization is often inadequate to convey the full spectrum of the face shape variation especially for genetic studies. The first objective of the current study was to use geometric morphometric methods to quantitatively phenotype face shapes and examine its variation across horse breeds. The second objective was to analyze the face shape variation within Arabian horses since face shape is (1) favored, valued, and genetically selected in certain lineages (e.g. Egyptian), (2) is evaluated by registries and scored in shows, and (3) in its extreme forms pose health concerns. We digitized landmarks on lateral profile photos, particularly on the dorsal curvature of the rostrum, and subjected these landmarks to Generalized Procrustes Analysis to generate independent shape and size variables which were statistically compared across breeds and within Arabians. Horse breeds varied in nasal curvature, ranging from extremely concave to extremely convex, with over 70 % of horse breeds exhibiting intermediate concavity (i.e., straight profile). Interestingly, Arabian horses possessed the highest diversity in face profile and individuals clustered into three distinct shape sub-groups (one dished and two straight profile clusters). Our quantitative phenotyping method can be the basis of future genetic studies of facial profile within Arabian lineages as a favored traits and potentially manage its extreme forms as a likely genetic disease.
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Affiliation(s)
- H Alhaddad
- Department of Biological Sciences, Kuwait University, Shadadiya, Kuwait.
| | - B B Powell
- Department of Animal Science, UF Genetics Institute, University of Florida, Gainesville, Florida, USA
| | - L Del Pinto
- Biology Department, La Sierra University, Riverside, California, USA
| | - N Sutter
- Biology Department, La Sierra University, Riverside, California, USA
| | - S A Brooks
- Department of Animal Science, UF Genetics Institute, University of Florida, Gainesville, Florida, USA
| | - B H Alhajeri
- Department of Biological Sciences, Kuwait University, Shadadiya, Kuwait
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3
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Selvan AS, Thangaraj S, Dash S, Karthikeyan A, Karthickeyan SMK. Multivariate analysis of morphometric traits of Malaimadu cattle-autochthonous draft cattle of south India. Trop Anim Health Prod 2023; 55:369. [PMID: 37864734 DOI: 10.1007/s11250-023-03790-2] [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: 10/26/2022] [Accepted: 10/10/2023] [Indexed: 10/23/2023]
Abstract
Malaimadu cattle is a less explored indigenous cattle germplasm reared in the Western Ghats area of Tamil Nadu, south India. This study aimed to analyze the morphological structure of the Malaimadu cattle using a multivariate approach that explains and best represents body conformation. Sixteen body measurements were obtained from 156 adult female cattle from their native breeding tract. The Nearest Neighbor Method of Hierarchical Cluster analysis was used to group the morphometric traits into clusters. Pearson's coefficients of correlation (r) were estimated to determine the phenotypic correlations between different body measurements. Traits were analyzed using varimax rotated principal component analysis (PCA) with Kaiser normalization. Cluster analysis categorizes morphometric traits into two distinct clusters with the first cluster formed by traits related to horns and face, while the second cluster denotes general body conformation. Out of 120 phenotypic correlations, 55 were significant of which 51 were positive correlations. The estimated correlation coefficient ranges between - 0.50 (body length and face width) to 0.85 (chest girth and body weight). PCA extracted six components representing 70.19% of the total variance, while the first principal component comprises chest girth (CG), body weight (BW), height at wither (HW), and Paunch girth (PG) alone accounts for 23.70% thereby describing the general size and shape of the animal. The multivariate approach has proven to be effective in differentiating Malaimadu cattle from other indigenous breeds of south India with clear morphometric differences that help in identifying the pure phenotype for future propagation and also for devising breeding strategies.
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Affiliation(s)
- A Sakthivel Selvan
- Department of Animal Genetics and Breeding, Veterinary College and Research Institute, Salem, Tamil Nadu Veterinary and Animal Sciences University, Chennai, India.
| | - S Thangaraj
- Dairy Science, The Gandhigram Rural Institute, Dindigul, India
| | - Soumya Dash
- Indian Council of Agricultural Research - National Institute of Biotic Stress Management, Raipur, Chhattisgarh, India
| | - A Karthikeyan
- Livestock Farm Complex, Veterinary College and Research Institute, Salem, Tamil Nadu Veterinary and Animal Sciences University, Chennai, India
| | - S M K Karthickeyan
- Department of Animal Genetics and Breeding, Madras Veterinary College, Tamil Nadu Veterinary and Animal Sciences University, Chennai, India
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4
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Yakubu A, Okpeku M, Shoyombo AJ, Onasanya GO, Dahloum L, Çelik S, Oladepo A. Exploiting morphobiometric and genomic variability of African indigenous camel populations-A review. Front Genet 2022; 13:1021685. [PMID: 36579332 PMCID: PMC9791103 DOI: 10.3389/fgene.2022.1021685] [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: 08/17/2022] [Accepted: 11/28/2022] [Indexed: 12/14/2022] Open
Abstract
Camels (Camelus dromedarius) in Africa are adapted to arid and the semi-arid environmental conditions, and are valuable for meat, milk and fiber production. On account of the growing demand for camels in this continent, there is a need for knowledge on their phenotypic and genetic diversity. This is fundamental to sustainable herd management and utilization including the design of appropriate breeding and conservation strategies. We reviewed studies on the phenotypic and genetic characterization, breeding objectives, systems of production, productive and reproductive performances, and pathways for the sustainable rearing and use of camels in Africa. The morphological and genetic diversity, productive and reproductive abilities of African camels suggest the existence of genetic variations that can be utilized for breeds/ecotypes' genetic improvement and conservation. Possible areas of intervention include the establishment of open nucleus and community-based breeding schemes and utilization of modern reproductive technologies for the genetic improvement of milk and meat yields, sustainable management of rangelands, capacity building of the pastoralists and agro-pastoralists, institutional supports, formation of centralized conservation centres and efficient and effective marketing systems.
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Affiliation(s)
- Abdulmojeed Yakubu
- Department of Animal Science, Faculty of Agriculture, Centre for Sustainable Agriculture and Rural Development, Shabu-Lafia Campus, Nasarawa State University, Keffi, Nigeria
| | - Moses Okpeku
- Discipline of Genetics, School of Life Sciences, University of Kwa-Zulu Natal, Durban, South Africa
| | | | - Gbolabo O. Onasanya
- Department of Animal Science, Federal University Dutse, Dutse, Nigeria
- Deparment of Animal Genetics and Breeding, Veterinary College and Research Institute, Tamil Nadu Veterinary and Animal Sciences University, Chennai, India
| | - Lahouari Dahloum
- Départment of Agronomy, Faculty of Natural Science and Life, Abdelhamid Ibn Badis, University, Mostaganem, Algeria
| | - Senol Çelik
- Department of Animal Science, Faculty of Agriculture, Bingöl University, Bingöl, Turkey
| | - Abolade Oladepo
- Discipline of Genetics, School of Life Sciences, University of Kwa-Zulu Natal, Durban, South Africa
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5
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McVey C, Egger D, Pinedo P. Improving the Reliability of Scale-Free Image Morphometrics in Applications with Minimally Restrained Livestock Using Projective Geometry and Unsupervised Machine Learning. SENSORS (BASEL, SWITZERLAND) 2022; 22:8347. [PMID: 36366045 PMCID: PMC9653925 DOI: 10.3390/s22218347] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 10/26/2022] [Accepted: 10/28/2022] [Indexed: 06/16/2023]
Abstract
Advances in neural networks have garnered growing interest in applications of machine vision in livestock management, but simpler landmark-based approaches suitable for small, early stage exploratory studies still represent a critical stepping stone towards these more sophisticated analyses. While such approaches are well-validated for calibrated images, the practical limitations of such imaging systems restrict their applicability in working farm environments. The aim of this study was to validate novel algorithmic approaches to improving the reliability of scale-free image biometrics acquired from uncalibrated images of minimally restrained livestock. Using a database of 551 facial images acquired from 108 dairy cows, we demonstrate that, using a simple geometric projection-based approach to metric extraction, a priori knowledge may be leveraged to produce more intuitive and reliable morphometric measurements than conventional informationally complete Euclidean distance matrix analysis. Where uncontrolled variations in image annotation, camera position, and animal pose could not be fully controlled through the design of morphometrics, we further demonstrate how modern unsupervised machine learning tools may be used to leverage the systematic error structures created by such lurking variables in order to generate bias correction terms that may subsequently be used to improve the reliability of downstream statistical analyses and dimension reduction.
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Affiliation(s)
- Catherine McVey
- Department of Animal Sciences, Colorado State University, Fort Collins, CO 80523, USA
| | - Daniel Egger
- Pratt School of Engineering, Duke University, Durham, NC 27708, USA
| | - Pablo Pinedo
- Department of Animal Sciences, Colorado State University, Fort Collins, CO 80523, USA
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6
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Alaqeely R, Alhajeri BH, Almathen F, Alhaddad H. Mitochondrial Sequence Variation, Haplotype Diversity, and Relationships Among Dromedary Camel-Types. Front Genet 2021; 12:723964. [PMID: 34527024 PMCID: PMC8435798 DOI: 10.3389/fgene.2021.723964] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 08/12/2021] [Indexed: 11/22/2022] Open
Abstract
Dromedary camels are outstanding livestock that developed efficient abilities to tolerate desert conditions. Many dromedary camel-types (i.e., named populations) exist but lack defined specific breed standards, registries, and breeders’ governing organizations. The breed status of dromedary camel-types can partly be assessed by exploring mitochondrial DNA (mtDNA) variation. Accordingly, this study aimed to examine the breed status and the inter-population relationships of dromedary camel-types by analyzing sequence variation in the mtDNA control region and in three coding genes [cytochrome b, threonine, and proline tRNA, and part of the displacement loop (D-loop)] (867 bp region). Tail hair samples (n = 119) that represent six camel-types from Kuwait were collected, extracted, sequenced, and compared to other publicly available sequences (n = 853). Within the sequenced mitochondrial region, 48 polymorphic sites were identified that contributed to 82 unique haplotypes across 37 camel-types. Haplotype names and identities were updated to avoid previous discrepancies. When all sequences were combined (n = 972), a nucleotide diversity of 0.0026 and a haplotype diversity of 0.725 was observed across the dromedary-types. Two major haplogroups (A and B) were identified and the B1 haplotype was predominant and found in almost all dromedary-types whereas the A haplotypes were more abundant in African regions. Non-metric multidimensional scaling revealed an increased similarity among Arabian Peninsula “Mezayen” camel-types, despite their defining coat colors. The relationships among dromedary camel-types can partly be explained by mtDNA. Future work aimed at a deeper understanding of camel-type breed status should focus on a high number of nuclear markers.
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Affiliation(s)
- Randa Alaqeely
- Department of Biological Sciences, Kuwait University, Kuwait City, Kuwait
| | - Bader H Alhajeri
- Department of Biological Sciences, Kuwait University, Kuwait City, Kuwait
| | - Faisal Almathen
- Department of Veterinary Public Health, College of Veterinary Medicine, King Faisal University, Al-Ahsa, Saudi Arabia.,The Camel Research Center, King Faisal University, Al-Ahsa, Saudi Arabia
| | - Hasan Alhaddad
- Department of Biological Sciences, Kuwait University, Kuwait City, Kuwait
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7
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Bousbia A, Boudalia S, Gueroui Y, Hadded K, Bouzaoui A, Kiboub D, Symeon G. Use of multivariate analysis as a tool in the morphological characterization of the main indigenous bovine ecotypes in northeastern Algeria. PLoS One 2021; 16:e0255153. [PMID: 34310659 PMCID: PMC8312925 DOI: 10.1371/journal.pone.0255153] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 07/10/2021] [Indexed: 12/04/2022] Open
Abstract
Sustainability in livestock farming requires monitoring of autochthonous breeds which are well adapted to the local environment. The morphometric measurements seem to be the first approach which can provide useful information on the suitability of animal genetic resources for selection. In this work, thirteen morphometric variables were used for the phenotypic characterization of 130 adult autochthones cattle randomly selected from 30 local farms in Guelma. There were cases from four commonly accepted and traditional ecotypes: Guelmois, Cheurfa, Sétifien and Fawn. The results showed several and significant positive correlations between the different variables. Correlations were analyzed using Varimax orthogonal rotation PCA and three factors were extracted, which explain more than 75% of the total variation in the four ecotypes. Stepwise discriminant analysis showed that 6 of the 13 variables had discriminatory power to define the phenotypic profile of the ecotypes. Canonical discriminant analysis indicated that the Sétifien ecotype is separate from the other three ecotypes. Mahalanobis distances were significant between the different ecotypes except for the distance between the Guelmois and Fawn ecotypes. The cross-validation procedure assigned 91.42% of the Sétifien animals to their genetic group, while the percentages of animals assigned to the Cheurfa, Guelmois and Fawn ecotypes were 80.00%, 65.71% and 53.33% respectively. The multivariate approach has proven to be effective in differentiating the four ecotypes, with clear morphological differences from the Sétifien ecotype that may benefit from a genetic improvement program for more sustainable genetic resources preservation.
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Affiliation(s)
- Aissam Bousbia
- Faculté des Sciences de la Nature et de la Vie et Sciences de la Terre et de l’Univers, Université 8 Mai 1945 Guelma, Guelma, Algérie
- Laboratoire de Biologie, Eau et Environnement, Université 8 Mai 1945 Guelma, Guelma, Algérie
| | - Sofiane Boudalia
- Faculté des Sciences de la Nature et de la Vie et Sciences de la Terre et de l’Univers, Université 8 Mai 1945 Guelma, Guelma, Algérie
- Laboratoire de Biologie, Eau et Environnement, Université 8 Mai 1945 Guelma, Guelma, Algérie
- * E-mail: ,
| | - Yassine Gueroui
- Faculté des Sciences de la Nature et de la Vie et Sciences de la Terre et de l’Univers, Université 8 Mai 1945 Guelma, Guelma, Algérie
| | - Kamel Hadded
- Faculté des Sciences de la Nature et de la Vie et Sciences de la Terre et de l’Univers, Université 8 Mai 1945 Guelma, Guelma, Algérie
| | - Abdelkader Bouzaoui
- Faculté des Sciences de la Nature et de la Vie et Sciences de la Terre et de l’Univers, Université 8 Mai 1945 Guelma, Guelma, Algérie
| | - Dounia Kiboub
- Faculté des Sciences de la Nature et de la Vie et Sciences de la Terre et de l’Univers, Université 8 Mai 1945 Guelma, Guelma, Algérie
| | - George Symeon
- Research Institute of Animal Science, HAO-DEMETER, Paralimni Giannitsa, Greece
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8
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Alvira-Iraizoz F, Gillard BT, Lin P, Paterson A, Pauža AG, Ali MA, Alabsi AH, Burger PA, Hamadi N, Adem A, Murphy D, Greenwood MP. Multiomic analysis of the Arabian camel (Camelus dromedarius) kidney reveals a role for cholesterol in water conservation. Commun Biol 2021; 4:779. [PMID: 34163009 PMCID: PMC8222267 DOI: 10.1038/s42003-021-02327-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 06/06/2021] [Indexed: 02/05/2023] Open
Abstract
The Arabian camel (Camelus dromedarius) is the most important livestock animal in arid and semi-arid regions and provides basic necessities to millions of people. In the current context of climate change, there is renewed interest in the mechanisms that enable camelids to survive in arid conditions. Recent investigations described genomic signatures revealing evolutionary adaptations to desert environments. We now present a comprehensive catalogue of the transcriptomes and proteomes of the dromedary kidney and describe how gene expression is modulated as a consequence of chronic dehydration and acute rehydration. Our analyses suggested an enrichment of the cholesterol biosynthetic process and an overrepresentation of categories related to ion transport. Thus, we further validated differentially expressed genes with known roles in water conservation which are affected by changes in cholesterol levels. Our datasets suggest that suppression of cholesterol biosynthesis may facilitate water retention in the kidney by indirectly facilitating the AQP2-mediated water reabsorption.
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Affiliation(s)
- Fernando Alvira-Iraizoz
- Molecular Neuroendocrinology Research Group, Bristol Medical School: Translational Health Sciences, University of Bristol, Bristol, UK.
| | - Benjamin T Gillard
- Molecular Neuroendocrinology Research Group, Bristol Medical School: Translational Health Sciences, University of Bristol, Bristol, UK
| | - Panjiao Lin
- Molecular Neuroendocrinology Research Group, Bristol Medical School: Translational Health Sciences, University of Bristol, Bristol, UK
| | - Alex Paterson
- Molecular Neuroendocrinology Research Group, Bristol Medical School: Translational Health Sciences, University of Bristol, Bristol, UK
| | - Audrys G Pauža
- Molecular Neuroendocrinology Research Group, Bristol Medical School: Translational Health Sciences, University of Bristol, Bristol, UK
| | - Mahmoud A Ali
- Department of Pharmacology and Therapeutics, College of Medicine and Health Sciences, United Arab Emirates University, AL Ain, United Arab Emirates
| | - Ammar H Alabsi
- College of Medicine, Alfaisal University, Riyadh, Saudi Arabia
| | - Pamela A Burger
- Department of Interdisciplinary Life Sciences, Research Institute of Wildlife Ecology, Vetmeduni Vienna, Vienna, Austria
| | - Naserddine Hamadi
- Department of Life and Environmental Sciences, College of Natural and Health Sciences, Zayed University, Abu Dhabi, United Arab Emirates
| | - Abdu Adem
- Department of Pharmacology and Therapeutics, College of Medicine and Health Sciences, United Arab Emirates University, AL Ain, United Arab Emirates.
- Department of Pharmacology and Therapeutics, College of Medicine and Health Sciences, Khalifa University, Abu Dhabi, United Arab Emirates.
| | - David Murphy
- Molecular Neuroendocrinology Research Group, Bristol Medical School: Translational Health Sciences, University of Bristol, Bristol, UK
| | - Michael P Greenwood
- Molecular Neuroendocrinology Research Group, Bristol Medical School: Translational Health Sciences, University of Bristol, Bristol, UK
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9
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AlAskar H, Alhajeri BH, Almathen F, Alhaddad H. Genetic Diversity and Population Structure of Dromedary Camel-Types. J Hered 2021; 111:405-413. [PMID: 32530038 DOI: 10.1093/jhered/esaa016] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 06/08/2020] [Indexed: 12/14/2022] Open
Abstract
The dromedary camel is a unique livestock for its adaptations to arid-hot environments and its ability to provide goods under extreme conditions. There are no registries or breed standards for camels. Thus, named camel populations (i.e., camel-types) were examined for genetic uniqueness and breed status. Camel populations are generally named based on shared phenotype, country or region of origin, tribal ownership, or the ecology of their habitat. A dataset of 10 Short-Tandem Repeat markers genotyped for 701 individual camels from 27 camel-types was used to quantify genetic diversity within camel-types, compare genetic diversity across camel-types, determine the population genetic structure of camel-types, and identify camel-types that may represent true breeds. Summary statistics (genotyping call rate, heterozygosity, inbreeding coefficient FIS, and allelic frequencies) were calculated and population-specific analyses (pairwise FST, neighbor-joining tree, relatedness, Nei's genetic distance, principal coordinate analysis [PCoA], and STRUCTURE) were performed. The most notable findings were 1) little variation in genetic diversity was found across the camel-types, 2) the highest genetic diversity measure was detected in Targui and the lowest was in Awarik, 3) camel-types from Asia (especially the Arabian Peninsula) exhibited higher genetic diversity than their counterparts in Africa, 4) the highest DeltaK value of population structure separated camel-types based on geography (Asia vs. Africa), 5) the most distinct camel-types were the Omani, Awarik, and the Gabbra, 6) camel-types originating from the same country did not necessarily share high genetic similarity (e.g., camel-types from Oman), and 7) camel-type names were not consistently indicative of breed status.
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Affiliation(s)
- Huda AlAskar
- Department of Biological Sciences, Kuwait University, Safat, Kuwait
| | - Bader H Alhajeri
- Department of Biological Sciences, Kuwait University, Safat, Kuwait
| | - Faisal Almathen
- Department of Biological Sciences, Kuwait University, Safat, Kuwait.,Department of Veterinary Public Health and Animal Husbandry, College of Veterinary Medicine, King Faisal University, Al-Hasa, Saudi Arabia.,The Camel Research Center, King Faisal University, Al-Hasa, Saudi Arabia
| | - Hasan Alhaddad
- Department of Biological Sciences, Kuwait University, Safat, Kuwait
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10
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Alhajeri BH, Alhaddad H, Alaqeely R, Alaskar H, Dashti Z, Maraqa T. Camel breed morphometrics: current methods and possibilities. T ROY SOC SOUTH AUST 2021. [DOI: 10.1080/03721426.2021.1889347] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
| | - Hasan Alhaddad
- Department of Biological Sciences, Kuwait University, Safat, Kuwait
| | - Randa Alaqeely
- Department of Biological Sciences, Kuwait University, Safat, Kuwait
| | - Huda Alaskar
- Department of Biological Sciences, Kuwait University, Safat, Kuwait
| | - Zainab Dashti
- Department of Biological Sciences, Kuwait University, Safat, Kuwait
| | - Tasneem Maraqa
- Department of Biological Sciences, Kuwait University, Safat, Kuwait
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