Genetic characterization and diversity assessment in 'Bhangor' indigenous swamp buffalo population using heterologous microsatellite markers.

'Bhangor' newly identified swamp buffalo population from North East Indian, was characterized using microsatellite markers. Genomic DNA was isolated from blood samples of 76 unrelated animals, 15 microsatellite markers (CSSM33, BM1818, CSRM60, HEL13, ILSTS019, ILSTS025, ILSTS028, ILSTS029, ILSTS033, ILSTS036, ILSTS056, ILSTS058, ILSTS061, ILSTS089 and ETH003) were found to be highly polymorphic in the population of the selected markers. A total of 114 alleles were observed, which ranged from 3 in CSRM60 and ILSTS025 locus to 12 in ILSTS056 and ILSTS061. The mean effective number of alleles across all polymorphic loci was found to be 3.76. The overall mean expected heterozygosity and unbiased expected heterozygosity values were 0.67 and 0.68, ranging from 0.067 (ILSTS025) to 0.85 (ILSTS058) and 0.068 (ILSTS025) to 0.86 (ILSTS058), respectively. Within the population, the inbreeding estimates (FIS) ranged between -0.4352 and 0.804, with an average FIS of 0.114 ± 0.033. The outcome for infinite allele model (IAM), two-phase model (TPM) and test for mode shift revealed the absence of any recent bottleneck in the investigated buffalo population. The population was found to be in optimum diversity based on polymorphic microsatellite markers. With fast changing agro-climatic conditions; there is an urgent need to characterize the nondescript livestock populations.

Assessment of genetic diversity and bottleneck in Purnathadi buffaloes using short tandem repeat markers.

This study is the maiden attempt for genetic characterization of the Purnathadi, a phenotypically distinct buffalo population of the western Vidarbha region of Maharashtra and to explore genetic diversity using STR markers. A total of 48 unrelated Purnathadi buffaloes from the entire native tract were genotyped using a battery of 25 heterologous microsatellite markers. 5' end of forward primer of each microsatellite marker was labeled with one of the fluorescent dyes, viz., FAM (Blue), VIC (Green), NED (Yellow) or PET (Red) to assess the fragment length of genotyped PCR product with automated DNA sequencer (ABI 3100). 23 microsatellite loci (except ETH003 and ILSTS030) amplified successfully and adequately high allelic diversity (observed: 0.615 ± 0.043 and expected: 0.655 ± 0.037) was reported with 162 distinct microsatellite alleles. Sufficiently high Shannon index and PIC indicated the suitability of markers to evaluate genetic diversity in Purnathadi buffaloes. Within-population inbreeding estimates (FIS) for Purnathadi buffalo ranged between -0.171 and 0.495 with global FIS average of 5.9%. The outcome for IAM, TPM and test for mode shift revealed the absence of any recent bottleneck in Purnathadi buffalo. Pairwise FST (genetic differentiation) and gene flow between Purnathadi, Nagpuri and Marathwadi buffaloes were estimated using genotype data of 19 microsatellite markers. Lowest FST (0.031) was observed between Nagpuri and Purnathadi buffaloes with highest gene flow of 7.91% and highest FST (0.094) was between Purnathadi and Marathwadi populations. Present findings will definitely support in designing breeding plan for genetic improvement, as well as for developing conservation strategies of Purnathadi buffalo population. The comparative molecular study with other breeds of the regions is needed.

Optimization of dry period in Karan Fries cow.

AIM: The objective of this study was to optimize dry period (DP) length that can maximize the production across adjacent lactations and overall lifetime yield. MATERIALS AND METHODS: Performance records with respect to DP spread over a period of 15-year in Karan Fries (KF) cattle maintained at Livestock Research Centre (National Dairy Research Institute), were collected for the study. Data of 681 KF cows were analyzed by least square technique to examine the effect of non-genetic factors on DP. Season of calving was classified into four seasons: Winter season (December-March), summer season (April-June), rainy season (July-September), and autumn season (October-November); period of calving into five periods: 1998-2000 (1-period), 2001-2003 (II-period), 2004-2006 (III-period), 2007-2009 (IV-period), and 2010-2012 (V-period), and parity into six parities, i.e., 1(st), 2(nd), 3(rd), 4(th), 5(th), and >6(th) parities to see the effect of non-genetic factors on DP. RESULTS: Period of calving, season of calving, and parity did not affect the DP significantly (p<0.05). The overall least square mean of DP was 67.93±2.12 days. For the optimization of DP with regard to milk productivity, analysis was carried out by class interval method. DP was classified into eight classes (<22, 23-45, 46-67, 68-89, 90-111, 112-133, 134-155, and >156 days), and optimum level was obtained at 46-67 days (3(rd) class) with the following respective milk yield (MY) of 305 daily MY (4016.44±43.68 kg), total MY (4704.21±61.51 kg), MY per day of lactation length (13.03±0.13 kg), and MY per day of calving interval (11.68±0.41 kg). CONCLUSION: From the study, it was concluded that this optimal DP length (46-67 days) is suitable for maximizing the production. Hence, one should aim to dry off pregnant cows to achieve a DP of appropriate length to enhance productivity in the next lactation, as very short and very long DP reduces the economic profitability in dairy animals.

Impact of heat stress on health and performance of dairy animals: A review.

Sustainability in livestock production system is largely affected by climate change. An imbalance between metabolic heat production inside the animal body and its dissipation to the surroundings results to heat stress (HS) under high air temperature and humid climates. The foremost reaction of animals under thermal weather is increases in respiration rate, rectal temperature and heart rate. It directly affect feed intake thereby, reduces growth rate, milk yield, reproductive performance, and even death in extreme cases. Dairy breeds are typically more sensitive to HS than meat breeds, and higher producing animals are, furthermore, susceptible since they generates more metabolic heat. HS suppresses the immune and endocrine system thereby enhances susceptibility of an animal to various diseases. Hence, sustainable dairy farming remains a vast challenge in these changing climatic conditions globally.

Novel SNP identification in exon 3 of HSP90AA1 gene and their association with heat tolerance traits in Karan Fries (Bos taurus × Bos indicus) cows under tropical climatic condition.

Heat shock proteins (HSPs) act as molecular chaperones those are preferentially transcribed in respose to heat stress and the polymorphism in HSP genes associated with heat tolerance traits in cows. HSP90AA1 gene has been mapped on Bos taurus autosome 21 (BTA-21) and spans nearly 5368 bp comprising of 11 exons out of which the first exon does not translate. The present study was done on Karan Fries (5/8 HF × 3/8 Tharparkar) cows reared in tropical climate with the objectives of identifying single-nucleotide polymorphisms (SNPs) in targeted regions (exon 3) of HSP90AA1 gene and analyzing their association with heat tolerance traits in Karan Fries cows. Respiration rate (RR) and rectal temperature (RT) were recorded once daily for four consecutive days during probable extreme hours in different seasons or temperature humidity index (THI), viz., winter, spring, and summer. For detecting single-nucleotide polymorphisms, sequence data were analyzed using BioEdit software (version 7.2). Comparative sequence analysis of HSP90AA1 gene showed point mutation, viz., g.1209A>G (exon 3) as compared to Bos taurus (NCBI Ref Seq: AC_000178.1). Association analysis indicated that THI was influenced (P < 0.01) by RR, RT, and HTC. Similarly, SNPs at locus g.1209A>G were categorized into three genotypes, i.e., AA, AG, and GG, and the least squares means (LSMEANS) of RR, RT, and HTC for GG (homozygous) genotype were significantly lower (P < 0.01) than AA (homozygous) and AG (heterozygous) genotypes. These findings may partly suggest that cows with GG genotypes were favored for heat tolerance trait, which can be used as an aid to selection for thermo-tolerance Karan Fries cows for better adaptation in subtropical and tropical hot climate.

Novel SNPs in HSPB8 gene and their association with heat tolerance traits in Sahiwal indigenous cattle.

Heat shock proteins (HSPs) are expressed in response to heat stress, and the polymorphism in HSP genes at single-nucleotide level has been reported to be associated with heat tolerance and production performance traits in cattle. HSPB8 gene has been mapped on Bos taurus autosome 17 (BTA-17) spanning nearly 13,252 bp and comprising three exons and two introns. The present study was conducted in Sahiwal cows (n = 108) reared in subtropical climate with the objectives to identify SNPs in all three exons and part of intron 1 of HSPB8 gene and to analyze their association with heat tolerance traits in Sahiwal cows. Respiration rate (RR) and rectal temperature (RT) were recorded once during probable extreme hours in different seasons or Temperature-Humidity Index (THI), i.e., winter, spring, and summer. Heat tolerance coefficient (HTC) was also calculated to check the adaptability of the animals during the period of heat stress. The comparative sequence analysis revealed a total two single-nucleotide polymorphisms (SNPs), i.e., g.507G>A in exon 1 and g.881T>C in intron 1 of HSPB8 gene. Out of these two identified SNPs, only one SNP, i.e., g.507G>A, was found to be significantly associated with heat tolerance indicator traits (RR, RT, and HTC) in Sahiwal cows. The perusal of results across different seasons showed the significant (P < 0.01) difference in RR, RT, and HTC between winter, spring, and summer seasons. RR, RT, and HTC were found to be significantly lower (P < 0.01) in GA as compared to GG genotype of g.507G>A SNP of HSPB8 gene. However, in case of another SNP, i.e., g.881T>C, located on intron 1, the RR, RT, and HTC were having non-significant association with the different genotypes, i.e., TT and TC. These findings may partly suggest that GA genotype of SNP g.507G>A of HSPB8 gene has a probable role in heat tolerance in Sahiwal cattle and can therefore be utilized as a marker in propagation of thermo-tolerance cattle in hot tropical and subtropical climate. Nevertheless, the involvement of other regulatory mechanisms cannot be overruled.