The Tibetan fox (Vulpes ferrilata) is a crucial wild definitive host of Echinococcus cestodes on the Tibetan Plateau. Fecal detection of Echinococcus DNA (fecal prevalence) is commonly used to estimate Echinococcus spp. prevalence in canine populations (population prevalence). However, this approach may be biased without individual identification, when the same individuals are repeatedly sampled, potentially leading to the misestimation of exact population prevalence. Fecal samples collected from Tibetan foxes in Shiqu County (2010–2012) were genotyped to identify individual foxes, followed by copro-PCR to determine the population prevalence of Echinococcus spp. in the genotyped foxes. A virtual resampling program was developed to assess sampling bias and determine the optimal interval between sampling line transects. The derived optimal interval was then applied in surveillance conducted in 2015, 2016, and 2019. In total, 679 Tibetan fox feces were confirmed from 1219 field-collected samples (2010–2019). From 250 samples (2010–2012), 61 distinct fox individuals were identified. Virtual resampling analysis determined the optimal sampling interval to be 200–900 m, confirming fecal prevalence as an unbiased estimator of population prevalence. The implementation of a 500 m sampling interval in the surveillance of Echinococcus spp. (2010–2019) revealed an overall prevalence of 45.7

Human disturbances are considered to break reproduction barriers among species. Significant increases in hybridization events have been reported among a large number of taxonomic groups in anthropogenic environments, providing novel insights into species evolution mechanisms and conservation management in the Anthropocene. The Eastern Golden Frog (Pelophylax plancyi) and Black-Spotted Frog (P. nigromaculatus) are two sympatric anuran species with a long history of mitochondrial genome introgression in highly urbanized continental East Asia. However, there is only limited understanding of the pattern of their contemporary hybridization and factors influencing their interspecific relationship under anthropogenic disturbances. Here, interspecific hybridization between P. plancyi and P. nigromaculatus at the population level was investigated in Shanghai. All except two haplotypes obtained from both species in Shanghai were mixed together, and located in the introgression clade, implying multiple ancient mitochondrial introgression events occurred in the populations of our study area. Asymmetric genetic introgression was detected by microsatellite markers, with 0.7% of P. plancyi and 14.6% of P. nigromaculatus identified as contemporary admixed individuals. Consistent with the trend of population density, higher genetic diversity of neutral microsatellite loci was found in the more abundant P. plancyi; however, variation in mitochondrial (Cyt-b) and nuclear (POMC) genes was higher in relatively rare P. nigromaculatus. The population density of P. plancyi and number of water patches within local habitats were significantly positively correlated with both occurrences and proportions of admixed individuals in the populations of P. plancyi and P. nigromaculatus. Considering the prevalent transformation of habitats in urbanized areas, these results imply that a high population density in isolated artificially altered habitats is likely to increase interspecific hybridization. Thus, population monitoring and improvement of landscape connectivity between habitats would be needed to control the intensity of interspecific hybridization between P. plancyi and P. nigromaculatus in anthropogenic-disturbed environments.

We aimed to investigate the species composition of a small mammal community and the prevalence of Echinococcus spp. in a typical endemic area of the Tibetan Plateau. One pika and five rodent species were identified based on the morphological characteristics of 1278 small mammal specimens collected during 2014–2019. Detection of Echinococcus DNA in tissue samples from small mammal specimens revealed that Ochotona curzoniae (pika, total prevalence: 6.02%, 26/432), Neodon fuscus (5.91%, 38/643), N. leucurus (2.50%, 3/120), and Alexandromys limnophilus (21.74%, 10/46) were infected by both E. multilocularis and E. shiquicus; Cricetulus longicaudatus (16.67%, 1/6) was infected by E. shiquicus; and no infection was detected in N. irene (0/15). Neodon fuscus and O. curzoniae were the two most abundant small mammal species. There was no significant difference in the prevalence of pika and the overall rodent species assemblage (6.26%, 53/846); however, the larger rodent populations suggested that more attention should be paid to their role in the transmission of echinococcosis in the wildlife reservoir, which has long been underestimated. Moreover, although DNA barcoding provides a more efficient method than traditional morphological methods for identifying large numbers of small mammal samples, commonly used barcodes failed to distinguish the three Neodon species in this study. The close genetic relationships between these species suggest the need to develop more powerful molecular taxonomic tools.

Scavenging indigenous village chickens play a vital role in sub-Saharan Africa, sustaining the livelihood of millions of farmers. These chickens are exposed to vastly different environments and feeds compared to commercial chickens. In this study, we analysed the caecal microbiota of 243 Ethiopian village chickens living in different altitude-dependent agro-ecologies. Differences in bacterial diversity were significantly correlated with differences in specific climate factors, topsoil characteristics, and supplemental diets provided by farmers. Microbiota clustered into three enterotypes, with one particularly enriched at high altitudes. We assembled 9977 taxonomically and functionally diverse metagenome-assembled genomes. The vast majority of these were not found in a dataset of previously published chicken microbes or in the Genome Taxonomy Database. The wide functional and taxonomic diversity of these microbes highlights their importance in the local adaptation of indigenous poultry, and the significant impacts of environmental factors on the microbiota argue for further discoveries in other agro-ecologies.

Genomic selection using single nucleotide polymorphism (SNP) markers is now intensively investigated in breeding and has been widely utilized for genetic improvement. Currently, several studies have used haplotype (consisting of multiallelic SNPs) for genomic prediction and revealed its performance advantage. In this study, we comprehensively evaluated the performance of haplotype models for genomic prediction in 15 traits, including 6 growth, 5 carcass, and 4 feeding traits in a Chinese yellow-feathered chicken population. We adopted 3 methods to define haplotypes from high-density SNP panels, and our strategy included combining Kyoto Encyclopedia of Genes and Genomes pathway information and considering linkage disequilibrium (LD) information. Our results showed an increase in prediction accuracy due to haplotypes ranging from -0.04∼27.16% in all traits, where the significant improvements were found in 12 traits. The estimates of haplotype epistasis heritability were strongly correlated with the accuracy increase by haplotype models. In addition, incorporating genomic annotation information could further increase the accuracy of the haplotype model, where the further increase in accuracy is significantly relative to the increase of relative haplotype epistasis heritability. The genomic prediction using LD information for constructing haplotypes has the best prediction performance among the 4 traits. These results uncovered that haplotype methods were beneficial for genomic prediction, and the accuracy could be further increased by incorporating genomic annotation information. Moreover, using LD information would potentially improve the performance of genomic prediction.

Aims: Habitat fragmentation and loss caused by urbanization are important factors that threaten the survival of wildlife globally.Urbanization has caused amphibians to become one of the most severely threatened groups of terrestrial vertebrates.Studying the spatial distribution pattern and exploring how landscape connectivity affects the gene flow among fragmented populations of amphibians in urban areas would provide a deeper understanding of the impacts of urbanization on wildlife and offer theoretical guidance for local biodiversity conservation.Methods: In this study, we selected the eastern golden frog (Pelophylax plancyi) as the primary research subject and obtained landscape and environmental data about land cover, normalized difference vegetation index (NDVI) and land surface temperature in the Shanghai region using Landsat-8 satellite images (http://www.gscloud.cn).Combined with the data from field population survey, we employed the maximum entropy (MaxEnt) model to predict the spatial distribution pattern of P. plancyi in the region.We evaluated the potential corridors and calculated the resistance distances between local populations using circuit theory (Circuitscape), and explored the effect of geographical and resistance distance on genetic differentiation among local populations using the Mantel test of each local populations based on the genetic distance (F ST ) matrices calculated from simple sequence repeat (SSR) and single nucleotide polymorphism (SNP).Results: The habitat suitability of P. plancyi significantly decreased along the rural-to-urban gradient.NDVI was the main factor affecting the MaxEnt modelling and indicated that the P. plancyi prefer to inhabit areas with higher vegetation coverage.There was no significant correlation between genetic distance and geographical distance, while genetic distance increased significantly with the resistance distance. Conclusions:The protection and maintenance of continuous suitable habitats in suburbs and isolated habitat patches in urban areas that still exist is the primary measure of conservation for native amphibians such as P. plancyi.Furthermore, optimizing urban landscape structure, strengthening the construction of corridors suitable for various groups of wildlife, and promoting the gene exchange among local populations are effective methods to achieve the self-sustainment of populations and long-term conservation of biodiversity in urbanized areas.

In tasks related to DNA sequence classification, choosing the appropriate encoding methods is challenging. Some of the methods encode sequences based on prior knowledge that limits the ability of the model to obtain multiperspective information from the sequences. We introduced a new trainable ensemble method based on the attention mechanism SDBA, which stands for Score Domain-Based Attention. Unlike other methods, we fed the task-independent encoding results into the models and dynamically ensembled features from different perspectives using the SDBA mechanism. This approach allows the model to acquire and weight sequence features voluntarily. SDBA is conceptually general and empirically powerful. It has achieved new state-of-the-art results on the benchmark data sets associated with DNA N4-methylcytosine site prediction.

杜洛克猪原产于美国东部,其基于市场需要,由大个体脂肪型猪品种转变为瘦肉型猪.育种形成了高瘦肉率和饲料转化率、强适应性和生长发育快的特点,因繁殖能力不出众,常作为猪育种的终端父本,现已成为世界著名的瘦肉型猪种之一.我国是集生猪养殖、消费和育种为一体的大国,不仅具有品种丰富的地方猪种,还引进了多种国际上大受欢迎的国外品种.在人们饮食习惯和生猪市场消费需求的推动下,瘦肉率和饲料转化率等较低的地方猪种退出大众市场,国内生猪养殖公司纷纷引进杜洛克等国外瘦肉型猪种进行遗传育种改良,将培育瘦肉率高、生长速度快、饲料转化率高、繁殖性能良好,同时兼顾肉品质的优质猪新品种作为猪育种领域的主要科研攻关方向.面对引种后种猪性能退化问题,国内部分生猪养殖公司基于短期盈利目标,严重依赖国外育种体系,造成被国外育种公司"牵着鼻子走"的局面.在当前形势下,充分利用国内的种猪资源,结合地区环境进行猪品种创新,选育出优良瘦肉型猪新品系尤为重要.

Millions of migratory waterfowl winter in the coastal wetlands in Shanghai City, among which Eastern Spot-billed Ducks and Mallards are among the most common species and are sensitive to infection with avian influenza virus. However, information on the migration behaviors of these two species in Northeast Asia is lacking. Therefore, GPS transmitters were used to track the migration of 13 Eastern Spot-billed Ducks and eight Mallards wintering in Shanghai during 2017-2020. Mallards covered a (mean +/- standard deviation) migration distance of 1,663.69 +/- 1,063.33 km, with wider variation than Eastern Spot-billed Ducks (1,639.24 +/- 642.72 km), though the difference was not significant. Both species ended their northward migrations in Northeast Asia encircling the Yellow Sea, mainly in northeastern China. The dynamic Brownian bridge movement model confirmed that multiple stopover sites mainly located in the Korean Peninsula along the Yellow Sea coastline were crucial nodes for maintaining the stability and function of the migration network. This study confirmed the close relationships between habitats in the Korean Peninsula and China, indicating the importance of habitat conservation in related countries to the stability of the migration network. The results of this study additionally highlight the relationships between migration behaviors and outbreaks of avian influenza virus in Northeast Asia.

野生动物疫源性疾病不但威胁人类健康,还严重影响全球的生物多样性保护.我国青藏高原东部牧区是世界范围内已知人棘球蚴病患病率最高的地区.当地多样的野生和家养哺乳动物构成了棘球蚴病复杂而稳定的传播链.本文概述了青藏高原牧区棘球蚴病的流行病学研究现状,并从宿主动物群落结构和动态、宿主行为生态学特征、人类活动干扰等3个方面探讨影响青藏高原棘球蚴病传播的生态学原理.并在此基础上,就青藏高原棘球蚴病的综合防治及高原生态系统的保护和可持续发展提出建议.

The gene numbers and evolutionary rates of birds were assumed to be much lower than those of mammals, which is in sharp contrast to the huge species number and morphological diversity of birds. It is, therefore, necessary to construct a complete avian genome and analyze its evolution. We constructed a chicken pan-genome from 20 de novo assembled genomes with high sequencing depth, and identified 1,335 protein-coding genes and 3,011 long noncoding RNAs not found in GRCg6a. The majority of these novel genes were detected across most individuals of the examined transcriptomes but were seldomly measured in each of the DNA sequencing data regardless of Illumina or PacBio technology. Furthermore, different from previous pan-genome models, most of these novel genes were overrepresented on chromosomal subtelomeric regions and microchromosomes, surrounded by extremely high proportions of tandem repeats, which strongly blocks DNA sequencing. These hidden genes were proved to be shared by all chicken genomes, included many housekeeping genes, and enriched in immune pathways. Comparative genomics revealed the novel genes had 3-fold elevated substitution rates than known ones, updating the knowledge about evolutionary rates in birds. Our study provides a framework for constructing a better chicken genome, which will contribute toward the understanding of avian evolution and the improvement of poultry breeding.

产业兴旺是乡村振兴的基础和关键,而人才兴旺则是产业兴旺的重要支撑和保障.高等院校肩负为产业发展培育专业技术人才的重任,而人才培养与产业需求的结构性矛盾是制约产业可持续发展的重要因素.伴随着家禽产业向规模化、生态化和集约化转型升级的关键时期,家禽生产和繁殖课程作为家禽养殖产业相关度较强的专业课程,在教学改革过程中以产业格局的新变化为出发点,以振兴产业的需求为导向,加强产学结合,引入企业导师为学生授课和实习基地实操训练等形式,丰富教学的实践环节,激发学生的兴趣,针对性的掌握和巩固专业基础知识和应用实践,提升课堂教学的质量和成效,为产业振兴做好人才支撑.

Hyperpigmentation of the visceral peritoneum (HVP) has been becoming one of the most challenging problems in yellow-feathered chicken production, which seriously affected chicken carcass quality traits. Detecting which genes dominantly impact pigmentation in the peritoneum tissues is of great benefit to the genetic improvement of HVP. To investigate the genetic mechanism of HVP in yellow-feathered broilers, genome-wide association studies (GWASs) were conducted in the F2 generation of a cross broiler population with 395 birds. A total of 115,706 single-nucleotide polymorphisms (SNPs) of 122,415 were retained to identify quantitative trait loci (QTL) associated to HVP in chicken. The GWAS results based on the logistic mixed model (LMM) revealed that a narrow genomic location on chromosomes 1 (49.2–51.3 Mb) was significantly associated (p ≤ 4.32 × 10−7) with HVP, which contained 23 SNP makers related to 14 functional genes (MFNG, POLDIP3, POLR2F, PICK1, PDXP, SGSM3, RANGAP1, MYH9, RPL3, GALP3, LGALS1, MICALL1, ATF4, and CYP2D6). Four highly associated (p < 10−5) haplotype blocks of 0.80 kb (two SNPs), 0.06 kb (two SNPs), 0.95 kb (two SNPs), and 0.03 kb (two SNPs) were identified with two, two, four, and four distinct haplotypes, respectively. As a melanoma-associated gene, CYP2D6 were also possibly involved in the development of HVP occurring in chicken with two significant variations (rs314284996 and rs317955795) in the promoter regions. Further tests revealed that the expression of CYP2D6 was obviously higher in the visceral peritoneum tissue of chicken with HVP than that in the normal group (p < 0.05). Our results provide a novel clue to understand the genetic mechanism of HVP generation in chicken, and the mapped QTL or candidate genes might serve for genomic selection to improve carcass quality in the yellow-feathered chicken industry.

为了探究清远麻鸡父母代种鸡的产蛋规律,试验选取一栋存栏数为7 696只的清远麻鸡父母代种鸡鸡群为研究对象,记录开产后从产蛋周第1周到产蛋第38周每天的母鸡产蛋数,统计开产后38周内的累计产蛋数,计算平均每周产蛋率和累计产蛋数,采用伍德、分室、杨宁三种非线性数学模型对开产后1～38周清远麻鸡的平均每周产蛋率曲线进行拟合分析,采用Logistics、Gompertz、Von Bertalanffy三种数学模型对平均每周累计产蛋数进行曲线拟合分析.结果表明:清远麻鸡父母代种鸡的平均每周产蛋率以杨宁模型的拟合度最高(R2=0.985),其次是分室模型(R2=0.938),伍德模型的拟合度较差(R2=0.786),其中杨宁模型表达式为Y(t)=82.931e-0.011t/[1+e-1.245(t-3.485)].Logis-tics、Gompertz、Von Bertalanffy三种数学模型都能很好地拟合清远麻鸡平均每周累计产蛋数,拟合度R2 都在0.989及以上,尤其以Von Bertalanffy模型的拟合度最高(R2=0.998),其模型表达式为Y(t)=231.899(1-0.793e-0.053t)3.说明在生产实践中,可采用杨宁模型预测清远麻鸡父母代种鸡的周产蛋率,采用Von Bertalanffy模型预测清远麻鸡父母代种鸡的累计产蛋数.

Exposure to high ambient temperature has detrimental effects on poultry welfare and production. Although changes in gene expression due to heat exposure have been well described for broiler chickens, knowledge of the effects of heat on laying hens is still relatively limited. In this study, we profiled the transcriptome for pectoralis major muscle (n = 24) and liver (n = 24), during a 4-week cyclic heating experiment performed on layers in the early phase of egg production. Both heat-control and time-based contrasts were analyzed to determine differentially expressed genes (DEGs). Heat exposure induced different changes in gene expression for the two tissues, and we also observed changes in gene expression over time in the control animals suggesting that metabolic changes occurred during the transition from onset of lay to peak egg production. A total of 73 DEGs in liver were shared between the 3 h heat-control contrast, and the 4-week versus 3 h time contrast in the control group, suggesting a core set of genes that is responsible for maintenance of metabolic homeostasis regardless of the physiologic stressor (heat or commencing egg production). The identified DEGs improve our understanding of the layer’s response to stressors and may serve as targets for genetic selection in the future to improve resilience.

"动物繁殖学"是佛山科学技术学院动物科学专业必修课,该课程与生产实践结合紧密,是讲述动物繁殖规律及繁殖技术的学科.该课程不仅能为畜牧业培养专业人才,还能为人的辅助生殖和基因编辑动物生产等培养人才.新时代对高等教育提出了新的要求,更加重视立德树人,需把思想政治工作贯穿教育教学全过程.按照所有课程都有育人功能的要求,积极寻找"动物繁殖学"与课程思政的融入点,力求将"课程思政"元素融入学生的学习中,把思想政治工作贯穿"动物繁殖学"教学全过程.

Abstract Understanding the mechanisms of how urbanization influences the evolution of native species is vital for urban wildlife ecology and conservation in the Anthropocene. With thousands of years of agriculture‐dominated historical urbanization followed by 40 years of intensive and rapid urbanization, Shanghai provides an ideal environment to study how the two‐stage urbanization process influences the evolution of indigenous wildlife, especially of anuran species. Therefore, in this study, we used mitochondrial Cyt‐b gene, microsatellite (SSR), and single nucleotide polymorphism (SNP) data to evaluate the demographic history and genetic structure of the eastern golden frog (Pelophylax plancyi), by sampling 407 individuals from 15 local populations across Shanghai, China. All local populations experienced bottlenecks during historical urbanization, while the local populations in urban areas maintained comparable contemporary effective population sizes (Ne) and genetic diversity with suburban and rural populations. Nevertheless, the rapid modern urbanization has already imposed significant negative effects to the integrity of populations. The 15 local populations were differentiated into eight genetic clusters, showing a spatial distribution pattern consistent with the current urbanization gradient and island–mainland geography. Although moderate gene flow still occurred from the rural peripheral cluster to urban and suburban clusters, population fragmentation was more serious in the urban and suburban populations, where higher urbanization levels within 2‐km radius areas showed significant negative relationships to the Ne and genetic diversity of local populations. Therefore, to protect urban wildlife with limited dispersal ability, improving conditions in fragmented habitat remnants might be most essential for local populations living in more urbanized areas. Meanwhile, we highlight the need to preserve large unfragmented rural habitats and to construct corridor networks to connect discrete urban habitat remnants for the long‐term wildlife conservation in intensively urbanizing environments.

Despite the substantial role that chickens have played in human societies across the world, both the geographic and temporal origins of their domestication remain controversial. To address this issue, we analyzed 863 genomes from a worldwide sampling of chickens and representatives of all four species of wild jungle fowl and each of the five subspecies of red jungle fowl (RJF). Our study suggests that domestic chickens were initially derived from the RJF subspecies Gallus gallus spadiceus whose present-day distribution is predominantly in southwestern China, northern Thailand and Myanmar. Following their domestication, chickens were translocated across Southeast and South Asia where they interbred locally with both RJF subspecies and other jungle fowl species. In addition, our results show that the White Leghorn chicken breed possesses a mosaic of divergent ancestries inherited from other subspecies of RJF. Despite the strong episodic gene flow from geographically divergent lineages of jungle fowls, our analyses show that domestic chickens undergo genetic adaptations that underlie their unique behavioral, morphological and reproductive traits. Our study provides novel insights into the evolutionary history of domestic chickens and a valuable resource to facilitate ongoing genetic and functional investigations of the world's most numerous domestic animal.

Animal GeneticsVolume 51, Issue 3 p. 485-486 Brief Note Mitochondrial DNA variation of Nigerian Muscovy duck (Cairina moschata) Adeniyi C. Adeola, Adeniyi C. Adeola State Key Laboratory of Genetic Resources and Evolution and 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 ChinaSearch for more papers by this authorMuslim K. Ewuola, Muslim K. Ewuola Animal Breeding and Genetics Unit, Department of Animal Science, University of Ibadan, Ibadan, 200284 NigeriaSearch for more papers by this authorLotanna M. Nneji, Lotanna M. Nneji State Key Laboratory of Genetic Resources and Evolution and 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 ChinaSearch for more papers by this authorAbel O. Oguntunji, Abel O. Oguntunji Department of Animal Science and Fisheries Management, Bowen University, Iwo, 232102 NigeriaSearch for more papers by this authorSemiu F. Bello, Semiu F. Bello Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642 ChinaSearch for more papers by this authorFoluke E. Sola-Ojo, Foluke E. Sola-Ojo Department of Animal Production, Faculty of Agriculture, University of Ilorin, Ilorin, 240213 NigeriaSearch for more papers by this authorAdeola O. Ayoola, Adeola O. Ayoola State Key Laboratory of Genetic Resources and Evolution and Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223 ChinaSearch for more papers by this authorAdeosun T. Adesoji, Adeosun T. Adesoji Department of Agricultural Education, Federal College of Education, Bichi, 703101 NigeriaSearch for more papers by this authorOscar J. Sanke, Oscar J. Sanke Taraba State Ministry of Agriculture and Natural Resources, Jalingo, 660221 NigeriaSearch for more papers by this authorDaniel L. Ebiakpo, Daniel L. Ebiakpo Department of Animal Science, University of Benin, Benin City, 300283 NigeriaSearch for more papers by this authorKingsley N. Jonah, Kingsley N. Jonah Gashaka Local Government Area, Gashaka, 663101 NigeriaSearch for more papers by this authorXinzheng Jia, Xinzheng Jia School of Life Science and Engineering, Foshan University, Foshan, 528225 ChinaSearch for more papers by this authorRu-Nian Wu, Ru-Nian Wu State Key Laboratory of Genetic Resources and Evolution and Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223 ChinaSearch for more papers by this authorMin-Sheng Peng, Corresponding Author Min-Sheng Peng pengminsheng@mail.kiz.ac.cn orcid.org/0000-0002-6301-9599 State Key Laboratory of Genetic Resources and Evolution and 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 Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650204 China Correspondence: M.-S. Peng (pengminsheng@mail.kiz.ac.cn) and Y.-P. Zhang (zhangyp@mail.kiz.ac.cn)Search for more papers by this authorYa-Ping Zhang, Corresponding Author Ya-Ping Zhang zhangyp@mail.kiz.ac.cn State Key Laboratory of Genetic Resources and Evolution and 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 Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650204 China Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223 China Correspondence: M.-S. Peng (pengminsheng@mail.kiz.ac.cn) and Y.-P. Zhang (zhangyp@mail.kiz.ac.cn)Search for more papers by this author Adeniyi C. Adeola, Adeniyi C. Adeola State Key Laboratory of Genetic Resources and Evolution and 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 ChinaSearch for more papers by this authorMuslim K. Ewuola, Muslim K. Ewuola Animal Breeding and Genetics Unit, Department of Animal Science, University of Ibadan, Ibadan, 200284 NigeriaSearch for more papers by this authorLotanna M. Nneji, Lotanna M. Nneji State Key Laboratory of Genetic Resources and Evolution and 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 ChinaSearch for more papers by this authorAbel O. Oguntunji, Abel O. Oguntunji Department of Animal Science and Fisheries Management, Bowen University, Iwo, 232102 NigeriaSearch for more papers by this authorSemiu F. Bello, Semiu F. Bello Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642 ChinaSearch for more papers by this authorFoluke E. Sola-Ojo, Foluke E. Sola-Ojo Department of Animal Production, Faculty of Agriculture, University of Ilorin, Ilorin, 240213 NigeriaSearch for more papers by this authorAdeola O. Ayoola, Adeola O. Ayoola State Key Laboratory of Genetic Resources and Evolution and Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223 ChinaSearch for more papers by this authorAdeosun T. Adesoji, Adeosun T. Adesoji Department of Agricultural Education, Federal College of Education, Bichi, 703101 NigeriaSearch for more papers by this authorOscar J. Sanke, Oscar J. Sanke Taraba State Ministry of Agriculture and Natural Resources, Jalingo, 660221 NigeriaSearch for more papers by this authorDaniel L. Ebiakpo, Daniel L. Ebiakpo Department of Animal Science, University of Benin, Benin City, 300283 NigeriaSearch for more papers by this authorKingsley N. Jonah, Kingsley N. Jonah Gashaka Local Government Area, Gashaka, 663101 NigeriaSearch for more papers by this authorXinzheng Jia, Xinzheng Jia School of Life Science and Engineering, Foshan University, Foshan, 528225 ChinaSearch for more papers by this authorRu-Nian Wu, Ru-Nian Wu State Key Laboratory of Genetic Resources and Evolution and Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223 ChinaSearch for more papers by this authorMin-Sheng Peng, Corresponding Author Min-Sheng Peng pengminsheng@mail.kiz.ac.cn orcid.org/0000-0002-6301-9599 State Key Laboratory of Genetic Resources and Evolution and 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 Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650204 China Correspondence: M.-S. Peng (pengminsheng@mail.kiz.ac.cn) and Y.-P. Zhang (zhangyp@mail.kiz.ac.cn)Search for more papers by this authorYa-Ping Zhang, Corresponding Author Ya-Ping Zhang zhangyp@mail.kiz.ac.cn State Key Laboratory of Genetic Resources and Evolution and 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 Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650204 China Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223 China Correspondence: M.-S. Peng (pengminsheng@mail.kiz.ac.cn) and Y.-P. Zhang (zhangyp@mail.kiz.ac.cn)Search for more papers by this author First published: 25 February 2020 https://doi.org/10.1111/age.12924Citations: 1Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article.Citing Literature Supporting Information Filename Description age12924-sup-0001-Supinfo.pdfPDF document, 664 KB Appendix S1 Supplemental materials and methods. Table S1 A total of 380 Muscovy ducks from Nigeria, France, India, Indonesia and China Table S2 Genetic diversity of domestic Muscovy duck populations Table S3 Neutrality tests Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. Volume51, Issue3June 2020Pages 485-486 RelatedInformation