scholarly journals Analysis of MC1R, MITF, TYR, TYRP1, and MLPH Genes Polymorphism in Four Rabbit Breeds with Different Coat Colors

Animals ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 81
Author(s):  
Xianbo Jia ◽  
Peng Ding ◽  
Shiyi Chen ◽  
Shaokang Zhao ◽  
Jie Wang ◽  
...  

Pigmentation genes such as MC1R, MITF, TYR, TYRP1, and MLPH play a major role in rabbit coat color. To understand the genotypic profile underlying coat color in indigenous Chinese rabbit breeds, portions of the above-mentioned genes were amplified and variations in them were analyzed by DNA sequencing. Based on the analysis of 24 Tianfu black rabbits, 24 Sichuan white rabbits, 24 Sichuan gray rabbits, and 24 Fujian yellow rabbits, two indels in MC1R, three SNPs in MITF, five SNPs (single nucleotide polymorphisms) in TYR, one SNP in TYRP1, and three SNPs in MLPH were discovered. These variations have low-to-moderate polymorphism, and there are significant differences in their distribution among the different breeds (p < 0.05). These results provide more information regarding the genetic background of these native rabbit breeds and reveal their high-quality genetic resources.

2003 ◽  
Vol 49 (10) ◽  
pp. 1599-1607 ◽  
Author(s):  
Sha-Sha Wang ◽  
Keith Thornton ◽  
Andrew M Kuhn ◽  
James G Nadeau ◽  
Tobin J Hellyer

Abstract Background: The BD ProbeTec™ ET System is based on isothermal strand displacement amplification (SDA) of target nucleic acid coupled with homogeneous real-time detection using fluorescent probes. We have developed a novel, rapid method using this platform that incorporates a universal detection format for identification of single-nucleotide polymorphisms (SNPs) and other genotypic variations. Method: The system uses a common pair of fluorescent Detector Probes in conjunction with unlabeled allele-specific Adapter Primers and a universal buffer chemistry to permit analysis of multiple SNP loci under generic assay conditions. We used Detector Probes labeled with different dyes to facilitate differentiation of two alternative alleles in a single reaction with no postamplification manipulation. We analyzed six SNPs within the human β2-adrenergic receptor (β2AR) gene, using whole blood, buccal swabs, and urine samples, and compared results with those obtained by DNA sequencing. Results: Unprocessed whole blood was successfully genotyped with as little as 0.1–1 μL of sample per reaction. All six β2AR assays were able to accommodate ≥20 μL of unprocessed whole blood. For the 14 individuals tested, genotypes determined with the six β2AR assays agreed with DNA sequencing results. Conclusion: SDA-based allelic differentiation on the BD ProbeTec ET System can detect SNPs rapidly, using whole blood, buccal swabs, or urine.


2013 ◽  
Vol 11 (3) ◽  
pp. 221-224
Author(s):  
Masaru Takeya ◽  
Fukuhiro Yamasaki ◽  
Sachiko Hattori ◽  
Kaworu Ebana

The NIASGBsnp system manages data on single nucleotide polymorphisms (SNPs) of rice (Oryzasativa L.) genetic resources in the National Institute of Agrobiological Science (NIAS) Genebank. NIASGBsnp currently holds data on 768 SNP markers for 301 rice accessions and plans to add the SNP data of active rice accessions in the NIAS Genebank. It can show differences between accessions by graphical genotyping. Passport, characteristics and evaluation data of accessions can be retrieved to allow phenotype to be associated with genotype. NIASGBsnp will support various research purposes such as genomic selection and plant pathology research.


F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 318
Author(s):  
Md. Bazlur Rahman Mollah ◽  
Md. Shamsul Alam Bhuiyan ◽  
M.A.M. Yahia Khandoker ◽  
Md. Abdul Jalil ◽  
Gautam Kumar Deb ◽  
...  

The Black Bengal goat (BBG) is a dwarf sized heritage goat (Capra hircus) breed from Bangladesh, and is well known for its high fertility, excellent meat and skin quality. Here we present the first whole genome sequence and genome-wide distributed single nucleotide polymorphisms (SNPs) of the BBG. A total of 833,469,900 raw reads consisting of 125,020,485,000 bases were obtained by sequencing one male BBG sample. The reads were aligned to the San Clemente and the Yunnan black goat genome which resulted in 98.65% (properly paired, 94.81%) and 98.50% (properly paired, 97.10%) of the reads aligning, respectively. Notably, the estimated sequencing coverages were 48.22X and 44.28X compared to published San Clemente and the Yunnan black goat genomes respectively. On the other hand, a total of 9,497,875 high quality SNPs (Q ≥ 20) along with 1,023,359 indels, and 8,746,849 high quality SNPs along with 842,706 indels were identified in BBG against the San Clemente and Yunnan black goat genomes respectively. The dataset is publicly available from NCBI BioSample (SAMN10391846), Sequence Read Archive (SRR8182317, SRR8549413 and SRR8549904), with BioProject ID PRJNA504436. These data might be useful genomic resources in conducting genome wide association studies, identification of quantitative trait loci (QTLs) and functional genomic analysis of the Black Bengal goat.


2020 ◽  
Vol 63 (1) ◽  
pp. 193-201
Author(s):  
Heli Xiong ◽  
Xiaoming He ◽  
Jing Li ◽  
Xingneng Liu ◽  
Chaochao Peng ◽  
...  

Abstract. Lanping black-boned sheep was first discovered in the 1950s in Lanping county of China and characterized by black pigmentation on skin and internal organs. Due to the novel and unique trait, the genetic background of Lanping black-boned sheep is of great interest. Here, we genotyped genome-wide SNPs (single nucleotide polymorphisms) of Lanping black-boned sheep and Lanping normal sheep using Illumina OvineSNP50 BeadChip to investigate the genetic diversity and genetic origin of Lanping black-boned sheep. We also downloaded a subset SNP dataset of two Tibet-lineage sheep breeds and four other sheep breeds from the International Sheep Genomics Consortium (ISGC) as a reference for interpreting. Lanping black-boned sheep had a lower genetic diversity level when compared to seven other sheep breeds. Principal component analysis (PCA) showed that Lanping black-boned sheep and Lanping normal sheep were clustered into the Asian group, but there was no clear separation between the two breeds. Structure analysis demonstrated a high ancestry coefficient in Lanping black-boned sheep and Lanping normal sheep. However, the two populations were separated into two distinct branches in a neighbor-joining (NJ) tree. We further evaluated the genetic divergence using population FST, which showed that the genetic differentiation that existed between Lanping black-boned sheep and Lanping normal sheep was higher than that between Tibet sheep and Changthangi sheep, which revealed that Lanping black-boned sheep is a different breed from Lanping normal sheep on the genetic level. In addition, structure analysis and NJ tree showed that Lanping black-boned sheep had a relatively close relation with Tibet sheep. The results reported herein are a first step toward understanding the genetic background of Lanping black-boned sheep, and it will provide informative knowledge on the unique genetic resource conservation and mechanism of novel breed formation.


2017 ◽  
Vol 83 (14) ◽  
Author(s):  
Amanda M. Williams-Rhaesa ◽  
Farris L. Poole ◽  
Jessica T. Dinsmore ◽  
Gina L. Lipscomb ◽  
Gabriel M. Rubinstein ◽  
...  

ABSTRACT Caldicellulosiruptor bescii is the most thermophilic cellulose degrader known and is of great interest because of its ability to degrade nonpretreated plant biomass. For biotechnological applications, an efficient genetic system is required to engineer it to convert plant biomass into desired products. To date, two different genetically tractable lineages of C. bescii strains have been generated. The first (JWCB005) is based on a random deletion within the pyrimidine biosynthesis genes pyrFA, and the second (MACB1018) is based on the targeted deletion of pyrE, making use of a kanamycin resistance marker. Importantly, an active insertion element, ISCbe4, was discovered in C. bescii when it disrupted the gene for lactate dehydrogenase (ldh) in strain JWCB018, constructed in the JWCB005 background. Additional instances of ISCbe4 movement in other strains of this lineage are presented herein. These observations raise concerns about the genetic stability of such strains and their use as metabolic engineering platforms. In order to investigate genome stability in engineered strains of C. bescii from the two lineages, genome sequencing and Southern blot analyses were performed. The evidence presented shows a dramatic increase in the number of single nucleotide polymorphisms, insertions/deletions, and ISCbe4 elements within the genome of JWCB005, leading to massive genome rearrangements in its daughter strain, JWCB018. Such dramatic effects were not evident in the newer MACB1018 lineage, indicating that JWCB005 and its daughter strains are not suitable for metabolic engineering purposes in C. bescii. Furthermore, a facile approach for assessing genomic stability in C. bescii has been established. IMPORTANCE Caldicellulosiruptor bescii is a cellulolytic extremely thermophilic bacterium of great interest for metabolic engineering efforts geared toward lignocellulosic biofuel and bio-based chemical production. Genetic technology in C. bescii has led to the development of two uracil auxotrophic genetic background strains for metabolic engineering. We show that strains derived from the genetic background containing a random deletion in uracil biosynthesis genes (pyrFA) have a dramatic increase in the number of single nucleotide polymorphisms, insertions/deletions, and ISCbe4 insertion elements in their genomes compared to the wild type. At least one daughter strain of this lineage also contains large-scale genome rearrangements that are flanked by these ISCbe4 elements. In contrast, strains developed from the second background strain developed using a targeted deletion strategy of the uracil biosynthetic gene pyrE have a stable genome structure, making them preferable for future metabolic engineering studies.


2003 ◽  
Vol 309 (2) ◽  
pp. 331-338 ◽  
Author(s):  
Ping Qiu ◽  
George J. Soder ◽  
Vincent J Sanfiorenzo ◽  
Luquan Wang ◽  
Jonathan R. Greene ◽  
...  

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