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Objective: This study aimed to identify, discover and explore the characteristics of the mtDNA genomes of Cemani chicken (Gallus gallus). Methods: This study used gDNA of Cemani chicken isolated from liver tissue. mtDNA sequencing was performed using WGS mtDNA analysis with nanopore technology by Oxford Nanopore Technologies GridION. Bioinformatics and data analysis were then performed. Results: This study showed that the length of the mtDNA genome is 16,789 bp, consisting of two ribosomal RNA (12S rRNA, 16S rRNA), 22 transfer RNA genes (trnR, trnG, trnK, trnD, trnS, trnY, trnC, trnN, trnA, trnW, trnM, trnQ, trnl, trnL, trnV, trnF, trnP, trnT, trnE, trnL, trnS, trnH), 13 protein-coding genes (PCGs) (ND4l, ND3, COX3, ATP6, ATP8, COX2, COX1, ND2, ND1, CYTB, ND6, ND5, ND4), and a noncoding control region (Dloop). Furthermore, analysis showed there were polymorphic sites and amino acid alterations when mtDNA Cemani chicken was aligned with references from GenBank. Conclusion: Site (988T>*) in Dloop genes and (328A>G) in ND3 genes which alter glycine to stop codon, were specific markers found only in Cemani chicken.
RESUMO
AIM: This study aimed to identify the effect of the insulin-like growth factor 1 (IGF1) gene on growth, to uncover the genetic marker at the IGF1 gene, and to predict growth performance by analyzing growth models of Kejobong goats based on their genotype. MATERIALS AND METHODS: DNA and records of body weight (BW) and body measurements (BM) of Kejobong goats were collected, the IGF1 gene was amplified from the DNA template by polymerase chain reaction (PCR); the PCR products were then sequenced to determine single nucleotide polymorphisms (SNP). Linear mixed model (LMM) was used to analyze the association between SNP and growth traits. Four non-linear growth models were analyzed using non-LMM to describe the growth model and to compare the growth within genotypes. RESULTS: An SNP at intron 4 (g5752GâC) genotyped into GG and CC was significantly associated with BW and BM. Goats of genotype GG had a significantly higher BW and BM (p<0.05) than those of genotype CC. Growth analysis showed that the von Bertalanffy model was the most fit for describing BW, the Brody model for chest width and hip height, the Gompertz and Logistic models for heart girth, and the von Bertalanffy and Gompertz models for hip width. CONCLUSION: An SNP at intron 4 of the IGF1 gene was associated with the growth trait and was usable as a genetic marker candidate for improvement of growth traits of Kejobong goats while von Bertalanffy model provides proper and accurate estimates of parameters to describe the growth performance of Kejobong goats.
RESUMO
AIM: This study aimed to analyze the amino acid sequence of Cytochrome b (Cyt b) gene in Kejobong goat and its genetic relationships with local goats located in Asia. MATERIALS AND METHODS: A total of 28 heads of Kejobong goat were purposively sampled. The deoxyribonucleic acid (DNA) was extracted from blood using gSYNC DNA mini kit (Geneaid Biotech Ltd.). Cyt b gene was amplified using polymerase chain reaction (PCR) method with CytbCapF and CytbCapR primers. The amplified PCR products were sequenced for further analysis. RESULTS: There were a total 377 amino acid sequences translated from 1140 base pair (bp) of Cyt b gene, 99.20% of it were monomorphic, amino acid alterations were found at site 16th, 121st, and 231st, and Kejobong goat was in the same cluster with Southeast Asian local goats. CONCLUSION: Most of the amino acid sequence on Cyt b gene in Kejobong goat is monomorphic (99.20%), only a few nucleotide mutations were found that causing amino acid alteration in three sites (0.80%). Kejobong goat has a close genetic relationship to several local goats in Southeast Asian.
