PCR-SSCP and Sequencing of CXCR2 Receptor Gene in Vrindavani Cattle

Genetic markers associated with inflammatory responses during mastitis could aid in the selection of diseased cattle. One potential marker is CXCR2, a chemokine receptor required for neutrophil migration to infection sites. The objective of this experiment was to identify genetic polymorphism of CXCR2 gene and associate it with subclinical and clinical mastitis. Ninety five Vrindavani crossbred cows (42-mastitis tolerant and 53-clinical mastitis) that completed at least two full lactations were taken for study. Blood of selected crossbred cows was collected, and genomic DNA was isolated by phenol chloroform method. The DNA of good quality having OD ratio (260/280 nm) between 1.7-1.9 were used for further analysis. PCR-SSCP technique was used to reveal the polymorphism in 269bp fragments of CXCR2 gene. The 269 bp fragment of CXCR2 gene was found to be monomorphic in all the DNA samples of crossbred cows

Genome-wide association study identifies loci and candidate genes for grain micronutrients and quality traits in wheat (Triticum aestivum L.)

Malnutrition due to micronutrients and protein deficiency is recognized among the major global health issues. Genetic biofortification of wheat is a cost-effective and sustainable strategy to mitigate the global micronutrient and protein malnutrition. Genomic regions governing grain zinc concentration (GZnC), grain iron concentration (GFeC), grain protein content (GPC), test weight (TW), and thousand kernel weight (TKW) were investigated in a set of 184 diverse bread wheat genotypes through genome-wide association study (GWAS). The GWAS panel was genotyped using Breeders' 35 K Axiom Array and phenotyped in three different environments during 2019–2020. A total of 55 marker-trait associations (MTAs) were identified representing all three sub-genomes of wheat. The highest number of MTAs were identified for GPC (23), followed by TKW (15), TW (11), GFeC (4), and GZnC (2). Further, a stable SNP was identified for TKW, and also pleiotropic regions were identified for GPC and TKW. In silico analysis revealed important putative candidate genes underlying the identified genomic regions such as F-box-like domain superfamily, Zinc finger CCCH-type proteins, Serine-threonine/tyrosine-protein kinase, Histone deacetylase domain superfamily, and SANT/Myb domain superfamily proteins, etc. The identified novel MTAs will be validated to estimate their effects in different genetic backgrounds for subsequent use in marker-assisted selection

PCR-SSCP and Sequencing of CXCR2 Receptor Gene in Vrindavani Cattle

Genetic markers associated with inflammatory responses during mastitis could aid in the selection of diseased cattle. One potential marker is CXCR2, a chemokine receptor required for neutrophil migration to infection sites. The objective of this experiment was to identify genetic polymorphism of CXCR2 gene and associate it with subclinical and clinical mastitis. Ninety five Vrindavani crossbred cows (42-mastitis tolerant and 53-clinical mastitis) that completed at least two full lactations were taken for study. Blood of selected crossbred cows was collected, and genomic DNA was isolated by phenol chloroform method. The DNA of good quality having OD ratio (260/280 nm) between 1.7-1.9 were used for further analysis. PCR-SSCP technique was used to reveal the polymorphism in 269bp fragments of CXCR2 gene. The 269 bp fragment of CXCR2 gene was found to be monomorphic in all the DNA samples of crossbred cows

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Not AvailableA study was conducted to evaluate the genetic divergence for morphological and phenological traits under rainfed conditions in wheat. Seed material comprised of the 294 wheat genotypes used for this study and grouped into six clusters. Among the six clusters, cluster IV contained 86 and cluster I had 68 genotypes, followed by 12 genotypes in cluster V. Fifty one genotypes were grouped in cluster VI and 52 were included in cluster II, while cluster III was represented by 27 genotypes. Maximum cluster mean for the character grain yield per plot was observed for the cluster III (667.1) followed by cluster V (559.3). The minimum cluster mean under the rainfed conditions was observed for the cluster IV (269.3). Intra cluster distance was maximum for cluster III (3.125). The highest inter cluster distance was noted between cluster II and cluster IV (4.997). Parentage of 294 genotypes revealed that genotypes belonging to different eco-geographical areas were included in the same cluster. This indicated that there was no association between clustering pattern and eco-geographical distribution of genotypes.Not Availabl

Elucidating the effects on polyphenol oxidase activity and allelic variation of polyphenol oxidase genes on dough and whole wheat-derived product color parameters

ABSTRACTPolyphenol oxidase (PPO) activity is a primary cause of the development of unattractive dark brown discoloration of wheat-based end products. The present study aims to evaluate a set of 41 diverse wheat genotypes grown at three different locations in India for grain phenol color reaction, PPO activity and molecular marker-based characterization of alleles of PPO genes. Relationships among these parameters were analyzed along with the effects of grain PPO activity on dough and chapati color at different time intervals. The mean PPO activity ranged from 7.42 to 27.57 min−1 g−1 10−3 among the genotypes and it showed a significant negative correlation with color brightness (L*) of dough rested for 0 min (r = -0.406), 15 min (r = -0.406), 2 h (r = -0.502) and 4 h (r = -0.551) and whole wheat flour-derived chapati rested for 2 h (r = -0.267) and 4 h (r = -0.424). The overall quality color score was negatively correlated with PPO activity (r = -0.863) and showed a positive correlation with both dough and chapati visual color measured at different time intervals. PPO activity in the genotypes carrying different alleles was found to be Ppo-A1a>Ppo-A1b; Ppo-B2d>Ppo-B2a; and Ppo-D1b>Ppo-D1a. The allelic constitution Ppo-A1bPpo-B2aPpo-D1a and Ppo-A1bPpo-B2dPpo-D1 was found to produce the lowest PPO activity, and thus these alleles are recommended to be used in marker assisted breeding for low PPO activity genotypes to minimize the discoloration of wheat-based end-products

Mean and range of grain iron, zinc, protein and thousand kernel weight in RIL population grown in rabi 2012–13 and 2013–14 at ICAR-IARI, GBPUA&T, and Pusa Bihar.

<p>Mean and range of grain iron, zinc, protein and thousand kernel weight in RIL population grown in rabi 2012–13 and 2013–14 at ICAR-IARI, GBPUA&T, and Pusa Bihar.</p

Frequency distributions of grain iron and zinc concentration measured during 2012–13 and 2013–14 in the parents and their RIL population.

<p>Frequency distributions of grain iron and zinc concentration measured during 2012–13 and 2013–14 in the parents and their RIL population.</p

Molecular mapping of the grain iron and zinc concentration, protein content and thousand kernel weight in wheat (<i>Triticum aestivum</i> L.)

<div><p>Genomic regions responsible for accumulation of grain iron concentration (Fe), grain zinc concentration (Zn), grain protein content (PC) and thousand kernel weight (TKW) were investigated in 286 recombinant inbred lines (RILs) derived from a cross between an old Indian wheat variety WH542 and a synthetic derivative (<i>Triticum dicoccon</i> PI94624/<i>Aegilops squarrosa</i> [409]//BCN). RILs were grown in six environments and evaluated for Fe, Zn, PC, and TKW. The population showed the continuous distribution for all the four traits, that for pooled Fe and PC was near normal, whereas, for pooled Zn, RILs exhibited positively skewed distribution. A genetic map spanning 2155.3cM was constructed using microsatellite markers covering the 21 chromosomes and used for QTL analysis. 16 quantitative trait loci (QTL) were identified in this study. Four QTLs (<i>QGFe</i>.<i>iari-2A</i>, <i>QGFe</i>.<i>iari-5A</i>, <i>QGFe</i>.<i>iari-7A</i> and <i>QGFe</i>.<i>iari-7B</i>) for Fe, five QTLs (<i>QGZn</i>.<i>iari-2A</i>, <i>QGZn</i>.<i>iari-4A</i>, <i>QGZn</i>.<i>iari-5A</i>, <i>QGZn</i>.<i>iari-7A</i> and <i>QGZn</i>.<i>iari-7B</i>) for Zn, two QTLs (<i>QGpc</i>.<i>iari-2A</i> and <i>QGpc</i>.<i>iari-3A</i>) for PC, and five QTLs (<i>QTkw</i>.<i>iari-1A</i>, <i>QTkw</i>.<i>iari-2A</i>, <i>QTkw</i>.<i>iari-2B</i>, <i>QTkw</i>.<i>iari-5B</i> and <i>QTkw</i>.<i>iari-7A</i>) for TKW were identified. The QTLs together explained 20.0%, 32.0%, 24.1% and 32.3% phenotypic variation, respectively, for Fe, Zn, PC and TKW. <i>QGpc</i>.<i>iari-2A</i> was consistently expressed in all the six environments, whereas, <i>QGFe</i>.<i>iari-7B</i> and <i>QGZn</i>.<i>iari-2A</i> were identified in two environments each apart from pooled mean. <i>QTkw</i>.<i>iari-2A</i> and <i>QTkw</i>.<i>iari-7A</i>, respectively, were identified in four and three environments apart from pooled mean. A common region in the interval of <i>Xgwm359-Xwmc407</i> on chromosome 2A was associated with Fe, Zn, and PC. One more QTL for TKW was identified on chromosome 2A but in a different chromosomal region (<i>Xgwm382-Xgwm359</i>). Two more regions on 5A (<i>Xgwm126-Xgwm595</i>) and 7A (<i>Xbarc49-Xwmc525</i>) were found to be associated with both Fe and Zn. A QTL for TKW was identified (<i>Xwmc525-Xbarc222</i>) in a different chromosomal region on the same chromosome (7A). This reflects at least a partly common genetic basis for the four traits. It is concluded that fine mapping of the regions of the three chromosomes of A genome involved in determining the accumulation of Fe, Zn, PC, and TKW in this mapping population may be rewarding.</p></div