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Article ; Online: Identification of genomic variations of Azeri buffaloes using whole genome sequencing

Milad Hosseini / Hossein Moradi shahrbabak / Mohamad Moradi shahrbabak

مجله بیوتکنولوژی کشاورزی, Vol 15, Iss 4, Pp 227-

2023 Volume 238

Abstract: AbstractObjectiveAdvances in next generation sequencing technologies have created the ability to efficiently and economically sequence the whole genome more than ever and provide the opportunity to discover and introduce multiple polymorphisms throughout ...

Abstract	AbstractObjectiveAdvances in next generation sequencing technologies have created the ability to efficiently and economically sequence the whole genome more than ever and provide the opportunity to discover and introduce multiple polymorphisms throughout the genome of organisms. Azeri buffalo is one of the most important breeds of Iran and it is scattered in the north to the northwest of the country and is completely adapted to the environmental conditions of this geographical region. The main purpose of this study is to introduce the genomic diversity of Iranian buffaloes and categorize them. Also, introducing the effects of these variations on different genomic regions of Azeri buffaloes have potential applications in breeding programs.Materials and MethodsIn this study, whole genome sequencing of 5 heads of Azeri buffaloes native to Iran was done by Illumina sequencing platform. Data quality was measured by FastQC software. BWA-MEM software was used for alignment with the reference genome. Finally, the variants were identified using freebayes and the SnpEff program was used to calculate the effects of the variants by mentioning their type, location and number. The alignment result of high quality reads with the reference genome showed that the alignment percentage for all 5 samples was over 97.5%, which indicates the high quality of short reads.The coverage in the sequenced samples was determined between 4x and 12.8x.Resultsfinally, 76,298,858 million variants were identified, including 57,921,822 SNPs, 6,162,328 indels, 10,534,042 MNPs, and 1,680,666 MIXEDs. Small deletions and insertions with a minimum length of 1 bp, a maximum length of 28 bp and an average of 1.39 bp were identified. From the total number of variants, the highest frequency of variants was observed in intergenic regions, 53,789,879 (62.022 percent), intron 24,003,682 (27.677 percent), respectively, and the variants detected in exons had the lowest number. ConclusionsIdentification of genome-level variations such as snps, small insertions ...
Keywords	azari ; sequencing ; genome ; buffalo ; variant ; Agriculture ; S ; Biotechnology ; TP248.13-248.65
Subject code	630
Language	Persian
Publishing date	2023-11-01T00:00:00Z
Publisher	Shahid Bahonar University of Kerman
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Identification of selective signatures, detection of ROH Islands and related genes associated with the number of lambs per lambing in Zandi ewes

Hossein Mohammadi / Hossein Moradi Shahrbabak / Amir Hossein Khaltabadi Farahani

مجله بیوتکنولوژی کشاورزی, Vol 15, Iss 3, Pp 277-

2023 Volume 294

Abstract: Abstract ObjectiveThe locations of ROHs which are under positive selection, or laboring favorable allele in population, tend to be fixed in the genome and formation of ROH Island during long times. Also, selection not only increases the frequency of new- ... ...

Abstract	Abstract ObjectiveThe locations of ROHs which are under positive selection, or laboring favorable allele in population, tend to be fixed in the genome and formation of ROH Island during long times. Also, selection not only increases the frequency of new-useful mutations but also remains some signals throughout the genome. Since these regions are often control economically important traits, identifying and tracking these regions is the most important subject in the animal genetics.Materials and methodsIn order to identify the signatures of selection and ROH Islands, 81 native Zandi sheep including prolific ewes (42 animal) and others with only singleton records (39 animal) were genotyped using the medium-density Illumina Ovine SNP50 array. Theta unbiased statistical method in R software was used to identify selection signatures. Candidate genes were identified by SNPs located at 0.1% upper range of Theta using BioMart software in ensemble 109. Also the detectRUNS package of R was useful to find the proportions of the homozygous genome and one percent of SNP with the highest frequency in ROH were considered as ROH Islands.ResultsBased on the results of obtained Theta values genomic regions on chromosomes 1(3 regions), 2 (2 regions), 5, 6 (2 regions), 8 (2 region), 10 and 25 were identified. A total of 17 ROH Islands with length: 270.46 Kb to 8.25 Mb related to studied trait were identified, which covering less than 1% of the sheep genome. The ROH Islands was not distributed across the genome uniform. The highest number ROH Island was observed on chromosome 1, while the lowest was on chromosome 24. Candidate genes PER2, KCNH7, CLCN3, UTG8 and EPHA5 obtained these regions. Further investigation using bioinformatics tools showed these genomic regions overlapped with the genes associated with development of ovarian granulosa cells, ovulation rate, lipid transport in Sertoli cells and early growth fetus.ConclusionsThe results of this study revealed that, the selection processes in different sheep breeds for economic ...
Keywords	native sheep ; roh islands ; signal selection ; theta statistic ; Agriculture ; S ; Biotechnology ; TP248.13-248.65
Subject code	630
Language	Persian
Publishing date	2023-09-01T00:00:00Z
Publisher	Shahid Bahonar University of Kerman
Document type	Article ; Online
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Article ; Online: Genome-wide association study based on gene set enrichment method (pathway analysis) associated with litter size at birth in Zandi sheep

Hossein Mohammadi / Hossein Moradi shahrbabak / Amir Taheri-Yeganeh

مجله بیوتکنولوژی کشاورزی, Vol 14, Iss 1, Pp 101-

2022 Volume 116

Abstract: ObjectiveReproductive traits (especially litter size at birth) is one of the most important economic traits in sheep breeding systems. The present study aimed to conduct a genome wide association studies based on Gene-set enrichment analysis for ... ...

Abstract	ObjectiveReproductive traits (especially litter size at birth) is one of the most important economic traits in sheep breeding systems. The present study aimed to conduct a genome wide association studies based on Gene-set enrichment analysis for identifying the genomic region, candidate genes and biological pathways associated with Litter size in Zandi sheep breed. Materials and MethodsProlific ewes with at least one twining record and others with only singleton records were genotyped using the medium-density Illumina Ovine SNP50 array. The gene set analysis consists basically in three different steps: the assignment of SNPs to genes, the assignment of genes to functional categories, and finally the association analysis between each functional category and the phenotype of interest. Genome-wide association study for litter size evaluated using Plink software method case-control. Using the biomaRt2 R package the SNP were assigned to genes. Subsequently, gene enrichment analysis was performed with the goseq R package and bioinformatics analysis was implemented to identify the biological pathways performed in GO, KEEG, DAVID and PANTHER databases. ResultsWe identified different sets of candidate genes related to litter size: AFP, FOXO3, ESR1, ESR2, RBP4, AURKA, DLG1 and ZGLP1 in Zandi sheep. According to pathway analysis, 11 pathways were associated with the litter size trait. Among biological pathways, the Oocyte differentiation, Ovulation from ovarian follicle, Estrogen signaling pathway and Positive regulation of peptide hormone secretion pathways have significant association with ovulation rate and ovarian steroidogenesis traits. ConclusionsConsidering, this study supported previous results from GWAS of litter size, also revealed additional regions in the sheep genome associated with these economically important traits, presented here should be contribute to a better understanding of the genetic control of litter size in sheep and using these findings can accelerate the genetic progress in sheep breeding ...
Keywords	biological pathways ; genome scan ; litter size ; sheep ; Agriculture ; S ; Biotechnology ; TP248.13-248.65
Subject code	630
Language	Persian
Publishing date	2022-04-01T00:00:00Z
Publisher	Shahid Bahonar University of Kerman
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Population structure identification of Turkmen and Darehshori horses using PCA, DAPC, and SPC methods

Ghazaleh Javanmard / Mohammad Moradi Shahrbabak / Hossein Moradi shahrbabak / Javad Rahmaninia / Mahdi Abbasi Firoozjaei / Mohammad Bagher Zandi

مجله بیوتکنولوژی کشاورزی, Vol 14, Iss 4, Pp 201-

2022 Volume 220

Abstract: ObjectiveConservation of the genetic diversity of indigenous animals is very important. For the sustainable use of genetic resources, it is necessary to first study the genetic structure of populations. The main goals of this research were to identify ... ...

Abstract	ObjectiveConservation of the genetic diversity of indigenous animals is very important. For the sustainable use of genetic resources, it is necessary to first study the genetic structure of populations. The main goals of this research were to identify the population structure of Turkmen and Darehshori horses using dense SNP markers and to compare the effectiveness of PCA, DAPC, and SPC methods in clustering these populations.Materials and methodsFor this purpose, 67 Turkmen and 39 Darehshori horses were genotyped using Illumina EquineSNP70 BeadChip. After applying quality control steps, five Turkmen horses and one Darehshori horse were removed. Then, the structure of populations was identified by three methods of principal component analysis (PCA), discriminant analysis of principal components (DAPC), and superparamagnetic clustering (SPC). These methods do not depend on previous assumptions and make it possible to analyze very large genome databases without prior knowledge of individual ancestry. These methods are also very fast and efficient.ResultsThis study compared the efficiency of these three clustering methods in identifying population structures. All three methods were successful in separating the two breeds, and Turkmen and Darehshori breeds were grouped into separate genetic groups. The difference is that the DAPC method only separated the two main populations, but the PCA and SPC methods could identify several subpopulations in each breed. The results of this study showed that the SPC method for studying the population structure of indigenous breeds with unknown information can be more useful than other methods. Therefore, using this method, a suitable program can be designed to conserve and use genetic resources.ConclusionsPCA, DAPC, and SPC methods were able to successfully identify the genetic structure of Turkmen and Darehshori breeds, and in general, it can be said that the information obtained from dense SNP markers can be a powerful tool for identifying the population structure of indigenous ...
Keywords	discriminant analysis of principal components ; principal component analysis ; subpopulation ; superparamagnetic clustering ; Agriculture ; S ; Biotechnology ; TP248.13-248.65
Subject code	630
Language	Persian
Publishing date	2022-12-01T00:00:00Z
Publisher	Shahid Bahonar University of Kerman
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Study of coding genes and SNPs in the brain tissue genome of honeybee related to behavioral traits in Italian and African subspecies using RNA-Seq data analysis

Aliakbar Hasankhani / Hossein Moradi Shahrbabak / Mohammad Moradi Shahrbabak / Abolfazl Bahrami / Gholamali Nehzati paghaleh / Mohammad Hossein Banabazi

مجله بیوتکنولوژی کشاورزی, Vol 14, Iss 2, Pp 171-

2022 Volume 192

Abstract: ObjectiveHoneybees, as pollinating insects, are an important part of nature. Because behavioral traits are so important in honeybees, comparing brain tissue transcriptomes of the two subspecies with aggressive and calm behavioral characteristics makes it ...

Abstract	ObjectiveHoneybees, as pollinating insects, are an important part of nature. Because behavioral traits are so important in honeybees, comparing brain tissue transcriptomes of the two subspecies with aggressive and calm behavioral characteristics makes it possible to understand this behavioral difference genetically. This study aimed to investigate to gene expression profile and identify the key genes in brain tissue in Italian (Apis Mellifera Ligustica) and African (Apis mellifera Scutellata) honeybees concerning behavioral traits. The Italian honeybee has calm behavioral characteristics, while the African is known as an aggressive honeybee.Materials and methodsRNA-Seq data were obtained from the NCBI (GEO) database, and after pre-processing of reads, the brain tissue transcriptomes of both subspecies were aligned and mapped on the honey bee reference genome (v A.mel 4.5), and then data qualification, transcriptome assembly, differential expression analysis, and gene ontology were performed.ResultsDifferential gene expression analysis identified 16,701 genes on the honeybee reference genome, of which 22 genes in brain tissue between the two subspecies had significant differential expression (adj p-value <0 .05 and Log2FC>2). As well, some of these genes were first identified. Gene ontology analysis showed that among these 22 genes, such as ITPR, MRJP, HSP70Ab, MBS, GB45410, and Def1 are directly or indirectly involved in the occurrence of various traits such as defensive, health behavior, reproductive, heat, light, and smell sensitivity. In addition, the SNPs encoding the honeybee brain tissue genome were identified in both subspecies, and 99636 SNPs were identified in the Italian, and 92514 SNPs were identified in the African subspecies.ConclusionsRNA-seq data, due to its high throughput, can provide us with accurate information about the expression of genes in different tissues in various subspecies. In this study, genes involved in honeybee behavioral traits and the SNPs in these genes were identified
Keywords	: behavioral traits ; gene ; honeybee ; snp ; transcriptome ; Agriculture ; S ; Biotechnology ; TP248.13-248.65
Subject code	616
Language	Persian
Publishing date	2022-06-01T00:00:00Z
Publisher	Shahid Bahonar University of Kerman
Document type	Article ; Online
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Article ; Online: Comparison of the diffrent clustering methods for population structure of Sarabi and Nadjdi cows by using dense genetic markers

Ahad Khasali aghtaei / mehdi vafaye valleh / Gholam Reza Dashab / hossein moradi shahrbabak

مجله بیوتکنولوژی کشاورزی, Vol 11, Iss 1, Pp 25-

2019 Volume 54

Abstract: Objective So far, various methods have been used to investigate the structure of the population using the markers available in the whole genome (single-nucleotide polymorphism (SNP)), each of which has Weakness and strength. In the present study, an ... ...

Abstract	Objective So far, various methods have been used to investigate the structure of the population using the markers available in the whole genome (single-nucleotide polymorphism (SNP)), each of which has Weakness and strength. In the present study, an unsupervised network clustering (SPC), a data-mining method, was used to survey the population structure of the Sarabi and Najdi cows. Materials and methods The study population 424 cattle consisted of 213sarabi cattle and 211 Najdi cattle, sequenced with Illumina Bead Chip 40 K v 2 for single nucleotide markers. SORTING POINTS INTO NEIGHBORHOOD(SPIN) was used to analyze population structure. After editing data, 27859 autosomal markers were analyzed. Results Clustering results based on the similarities and differences between nucleotides led to the classification of two base populations and nine clusters . Conclusions Comparison the number of samples and other existing methods for population layering, the use of the SPIN method with high computational efficiency and the needn`t for prior assumptions makes it possible to analyze the structure of populations. Citation : Khasaliaghtaei A, Vafaye Valleh M, Dashab GR, Moradi Shahrbabak H (2019) Comparison of the Different Clustering Methods for Population Structure of Sarabi and Nadjdi Cows by Using Dense Genetic Markers. Agricultural Biotechnology Journal 11 (1), 25-54. Agricultural Biotechnology Journal 11 (1), 25-54. DOI:10.22103/jab.2019.13193.1098 Received: January 16, 2019; Accepted: April 28, 2019 © Faculty of Agriculture, Shahid Bahonar University of Kerman-Iranian Biotechnology Society
Keywords	single-nucleotide polymorphism ; unsupervised network clustering ; data mining ; demographic structure ; Agriculture ; S ; Biotechnology ; TP248.13-248.65
Subject code	630 ; 310
Language	Persian
Publishing date	2019-05-01T00:00:00Z
Publisher	Shahid Bahonar University of Kerman
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Comparison of the diffrent clustering methods for population structure of Sarabi and Nadjdi cows by using dense genetic markers

Ahad Khasali aghtaei / mehdi vafaye valleh / Gholam Reza Dashab / hossein moradi shahrbabak

Biyutiknuluzhī-i kishāvarzī. 2019 May, v. 11, no. 1

2019

Abstract: ... Objective ... ... So far, various methods have been used to investigate the structure of the population using the markers available in the whole genome (single-nucleotide polymorphism (SNP)), each of which has Weakness and strength. In the ...

Abstract	Objective So far, various methods have been used to investigate the structure of the population using the markers available in the whole genome (single-nucleotide polymorphism (SNP)), each of which has Weakness and strength. In the present study, an unsupervised network clustering (SPC), a data-mining method, was used to survey the population structure of the Sarabi and Najdi cows. Materials and methods The study population 424 cattle consisted of 213sarabi cattle and 211 Najdi cattle, sequenced with Illumina Bead Chip 40 K v 2 for single nucleotide markers. SORTING POINTS INTO NEIGHBORHOOD(SPIN) was used to analyze population structure. After editing data, 27859 autosomal markers were analyzed. Results Clustering results based on the similarities and differences between nucleotides led to the classification of two base populations and nine clusters. Conclusions Comparison the number of samples and other existing methods for population layering, the use of the SPIN method with high computational efficiency and the needn`t for prior assumptions makes it possible to analyze the structure of populations. Citation: Khasaliaghtaei A, Vafaye Valleh M, Dashab GR, Moradi Shahrbabak H (2019) Comparison of the Different Clustering Methods for Population Structure of Sarabi and Nadjdi Cows by Using Dense Genetic Markers. Agricultural Biotechnology Journal 11 (1), 25-54. Agricultural Biotechnology Journal 11 (1), 25-54. DOI: 10.22103/jab.2019.13193.1098 Received: January 16, 2019; Accepted: April 28, 2019 © Faculty of Agriculture, Shahid Bahonar University of Kerman-Iranian Biotechnology Society
Keywords	agricultural biotechnology ; genome ; nucleotides ; population structure ; single nucleotide polymorphism
Language	English
Dates of publication	2019-05
Size	p. 25-54.
Publishing place	Shahid Bahonar University of Kerman
Document type	Article
ZDB-ID	3024464-X
ISSN	2228-6500 ; 2228-6705
ISSN (online)	2228-6500
ISSN	2228-6705
DOI	10.22103/jab.2019.13193.1098
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Association Between Plasma Metabolites and Insulin Sensitivity Indexes in Fat-Tailed and Thin-Tailed Lambs During Negative and Positive Energy Balances

Hossein Zakariapour Bahnamiri / Mahdi Ganjkhanlou / Abolfazl Zali / Mostafa Sadeghi / Hossein Moradi Shahrbabak

Iranian Journal of Veterinary Medicine, Vol 12, Iss 3, Pp 259-

2018 Volume 271

Abstract: Background: Fatty acid mobilization and inflammatory response of adipose tissues vary in various depots, hence the response of fat-tailed and thin-tailed sheep breeds to different energy balances was hypothesized to be different due to differences in ... ...

Abstract	Background: Fatty acid mobilization and inflammatory response of adipose tissues vary in various depots, hence the response of fat-tailed and thin-tailed sheep breeds to different energy balances was hypothesized to be different due to differences in proportion and metabolism of various adipose depots in these breeds which may affect whole body insulin sensitivity. Objective: Current study aimed to evaluated the changes in plasma metabolites including non-esterified fatty acid (NEFA), glucose, insulin, triglyceride (TG) and tumor necrosis factor-alpha in response to negative and positive energy balances and their correlation with insulin sensitivity indexes in Lori-Bakhtiari fat-tailed and Lori-Bakhtiari × Romanov cross breed thin-tailed lambs. Methods: Thirty-six male lambs (18 fat-tailed and 18 thin-tailed lambs) were placed in individual pens and experienced periods of negative (21 d) and positive (21 d) energy balances. Lambs were bled weekly to measure plasma metabolites. Pearson correlation coefficients among variables were generated using Proc Corr of SAS. Results: In thin-tailed but not fat-tailed lambs, plasma NEFA showed a negative correlation with plasma glucose (R = -0.47; P < 0.0003) and insulin (R = -0.46; P < 0.0005) content. Plasma NEFA negatively correlated with revised quantitative insulin sensitivity check index (RQUICKI) and severity of the correlation was higher in fat-tailed (R = -0.58; P < 0.0001) comparing to thin-tailed (R = -0.40; P < 0.003) lambs. In fat-tailed lambs, plasma NEFA and insulin were the most influential factors on RQUICKI, whereas in thin-tailed lambs, insulin was the main factor affecting RQUICKI. Conclusion: The results of current study demonstrate that despite higher basal and negative energy balance induced plasma NEFA content in thin-tailed lambs, the contribution of plasma NEFA to insulin resistance was higher in fat-tailed lambs, whereas negative correlation between plasma NEFA and insulin content in thin-tailed lambs demonstrate higher sensitivity of ...
Keywords	correlation ; energy balance ; fat-tailed lambs ; insulin sensitivity ; non-esterified fatty acid ; Veterinary medicine ; SF600-1100
Subject code	630
Language	English
Publishing date	2018-08-01T00:00:00Z
Publisher	University of Tehran
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Study of whole genome linkage disequilibrium patterns of Iranian water buffalo breeds using the Axiom Buffalo Genotyping 90K Array.

Mahdi Mokhber / Mohammad Moradi Shahrbabak / Mostafa Sadeghi / Hossein Moradi Shahrbabak / Alessandra Stella / Ezequiel Nicolzzi / John L Williams

PLoS ONE, Vol 14, Iss 5, p e

2019 Volume 0217687

Abstract: Accuracy of genome-wide association studies, and the successful implementation of genomic selection depends on the level of linkage disequilibrium (LD) across the genome and also the persistence of LD phase between populations. In the present study LD ... ...

Abstract	Accuracy of genome-wide association studies, and the successful implementation of genomic selection depends on the level of linkage disequilibrium (LD) across the genome and also the persistence of LD phase between populations. In the present study LD between adjacent SNPs and LD decay between SNPs was calculated in three Iranian water buffalo populations. Persistence of LD phase was evaluated across these populations and effective population size (Ne) was estimated from corrected r2 information. A set of 404 individuals from three Iranian buffalo populations were genotyped with the Axiom Buffalo Genotyping 90K Array. Average r2 and \|D'\| between adjacent SNP pairs across all chromosomes was 0.27 and 0.66 for AZI, 0.29 and 0.68 for KHU, and 0.32 and 0.72 for MAZ. The LD between the SNPs decreased with increasing physical distance from 100Kb to 1Mb between markers, from 0.234 to 0.018 for AZI, 0.254 to 0.034 for KHU, and 0.297 to 0.119 for MAZ, respectively. These results indicate that a density of 90K SNP is sufficient for genomic analyses relying on long range LD (e.g. GWAS and genomic selection). The persistence of LD phase decreased with increasing marker distances across all the populations, but remained above 0.8 for AZI and KHU for marker distances up to 100Kb. For multi-breed genomic evaluation, the 90K SNP panel is suitable for AZI and KHU buffalo breeds. Estimated effective population sizes for AZI, KHU and MAZ were 477, 212 and 32, respectively, for recent generations. The estimated effective population sizes indicate that the MAZ is at risk and requires careful management.
Keywords	Medicine ; R ; Science ; Q
Subject code	333
Language	English
Publishing date	2019-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
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Article: Expression of genes related to liver fatty acid metabolism in fat‐tailed and thin‐tailed lambs during negative and positive energy balances

Zakariapour Bahnamiri, Hossein / Mahdi Ganjkhanlou / Abolfazl Zali / Mostafa Sadeghi / Hossein Moradi Shahrbabak / Gholam Ali Nehzati Paghaleh

Journal of animal physiology and animal nutrition. 2019 Mar., v. 103, no. 2

2019

Abstract: Fat‐tailed sheep breeds can tolerate periods of negative energy balance without suffering from elevated concentration of plasma non‐esterified fatty acid (NEFA). This ability was attributed to unique metabolism of fat‐tailed adipose depot, whereas role ... ...

Abstract	Fat‐tailed sheep breeds can tolerate periods of negative energy balance without suffering from elevated concentration of plasma non‐esterified fatty acid (NEFA). This ability was attributed to unique metabolism of fat‐tailed adipose depot, whereas role of liver as an influential organ in fatty acid metabolism was not evaluated yet. Hence, current study was conducted to evaluate the effects of negative and positive energy balances on liver expression of genes related to fatty acid metabolism in fat‐tailed and thin‐tailed lambs. Lambs experienced negative (21 days) and positive (21 days) energy balances and were slaughtered at the beginning and end of negative energy balance and at the end of positive energy balance. Real‐time quantitative polymerase chain reaction (RT‐Q‐PCR) was conducted to evaluate changes in gene expression. Expression of diglyceride acyltransferase 1 (DGAT1), 3‐hydroxy‐3‐methylglutaryl‐CoA synthase 2 (HMGCS2) and apolipoprotein B (APOB) was not affected by genotype, energy balance and their interaction. Expression of carnitine palmitoyltransferase 1 (CPT1) was significantly higher in liver of fat‐tailed comparing to thin‐tailed lambs regardless of energy balance (p < 0.02). Catalase mRNA abundance was increased in response to negative energy balance (p < 0.02), and severity of this enhancement was higher in fat‐tailed lambs (p < 0.06). Expression of CPT1 was positively correlated with expression of HMGCS2 in both fat‐tailed (p < 0.05) and thin‐tailed lambs (p < 0.002); however, the correlation was weaker in fat‐tailed lambs (0.72 vs. 0.57, respectively, for thin‐tailed and fat‐tailed lambs). There was a positive correlation between DGAT1 and APOB genes expression in fat‐tailed lambs (0.94; p < 0.001), whereas this correlation was not observed in thin‐tailed lambs. Results demonstrate that liver of fat‐tailed lambs has higher capacity for metabolism of mobilized NEFA exposed to liver during negative energy balance.
Keywords	apolipoprotein B ; carnitine palmitoyltransferase ; catalase ; diacylglycerol acyltransferase ; energy balance ; fatty acid metabolism ; free fatty acids ; gene expression ; gene expression regulation ; genotype ; hydroxymethylglutaryl-CoA synthase ; lambs ; liver ; messenger RNA ; sheep breeds
Language	English
Dates of publication	2019-03
Size	p. 427-435.
Publishing place	John Wiley & Sons, Ltd
Document type	Article
Note	JOURNAL ARTICLE
ISSN	0931-2439
DOI	10.1111/jpn.13036
Database	NAL-Catalogue (AGRICOLA)

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