Page 11 - NBAGR NEWSLETTER VOL 16 No 1 (OCT 2019 - JUNE 2020)
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the  largest  F   values  (p-value<0.01),   models  having  q-value  of  G-score  less  than  0.05  were  considered  as  significant
                       ST
            Bayesian  algorithm-based  STRUCTURE   models. These significant models comprised of 30,350 unique SNPs. Variant effect
            showed that individuals  could be   prediction (VEP) results revealed that 4,436 genes might have been influenced by
            separated into two different groups.   environmental variables.
            The association study of the 46 samples                                     (Contributed by Dr. Sanjeev Singh)
            of  4  different  cattle breeds  (Hallikar,
            Kankerej, Siri and Ladakhi) genotyped by   Creation of DNA Chips for indigenous cattle and buffalo
            bovine HD chip for the local adaptation
            was carried out by R Sambada software   Two  DNA  Chips  (cattle  and  buffalo)  specific  to  native  breeds  were  developed  for
            with 5,74,382  SNPs which  passed the   genomic selection for increasing productivity. A total of 1676 animals belonging to
            quality filter. A total of 11 environmental   diverse breeds were sequenced at coverage of 10X yielding 60 GB of data per animal.
            variables were finally  taken in  genome   196 SRS parentage markers were also tiled cattle HD DNA clip. The chip thus created
            environment  association  study  out  of   has been tested on 192 animals and has given a 99.8% call rate. The chip designed
            which one variable was principal axis-1   has more than 585000 markers and is thus a high-density chip. The average distance
            of the PCA of ancestry coefficients of the   between the two markers is 4.57 Kb. Similarly, a high-density chip of Bubalus bubalis
            individual’s  samples. Other remaining   has also been designed and is being analyzed for its performance.
            variables consisted of longitude, latitude,                                      (Contributed by Dr. RK Vijh)
            Bio1,  Bio2,  Bio3,  Bio4a, Bio12,  tmax7,
            prec10 and  prec12. A total of 1,12,780


            CRP-Genomics-Animal Component

            Sahiwal (Bos indicus), is acclaimed   Standard bioinformatics software were   mid  lactation  suggests  enrichment  of
            worldwide as the best milch cattle breed   used for data analysis.  Mapping rate   the  PPARα  pathway  which  is  linked
            of the tropics. Unfortunately it faces threat   against the  Bos taurus (ARS-UCD1.2)   to fatty acid metabolism. A gradual
            of  genetic  erosion  by  indiscriminate   reference assembly was 84.5%. Unique   decline in the percentage of genes
            crossbreeding. The present study is an   transcripts in early, mid and late lactation   involved in metabolism of proteins,
            effort to understand the genomic drivers   were 108, 548 and 99 respectively, while   mRNA  and  insulin  synthesis  from  early
            of lactation in Sahiwal. Milk somatic   11377 transcripts were common across   to  late  lactation  reflected  transition
            cells were  used as source of RNA from   all  stages.  The  genes  encoding  the   from  lactogenesis  to  involution.  Major
            Sahiwal cows in early, mid and late   milk casein and whey proteins showed   biological  pathways  maintained
            lactation stages. Paired end (100bp) RNA   highest  expression  in  early  and  mid   throughout lactation were adaptive
            sequencing of four biological replicates   lactation, with a declining trend towards   immune  system,  FGF  signaling,  EGFR
            from each lactation stage was performed   the late stage. The enhanced expression   signaling, activated TLR4 signaling, NFkB
            on  Illumina  HiSeq-1000  Platform.  of  PLIN2,  FABP5  and  FABP3  genes  in   and  MAP  kinases  activation  mediated
                                                                                 by TLR4 signaling repertoire. Differential
                                                                                 expression  analysis  revealed  547,  1010
                                                                                 and 1313 differentially expressed genes
                                                                                 (p<0.05)  between  early-late,  early-mid
                                                                                 and  mid-late  stages,  respectively.  The
                                                                                 topmost regulatory genes identified by
                                                                                 network analysis from the differentially
                                                                                 expressed  genes,  were  involved  mainly
                                                                                 in Chemokine receptor, GPCR and EGFR1
                                                                                 pathways.  The genes and pathways
                                                                                 delineated in this study have regulatory
                                                                                 implications in cell morphogenesis, lipid
                                                                                 droplet formation and protein synthesis
                                                                                 in  the  course  of  lactation.  The  study
                                                                                 provides  an  insight  on  the  expression
                                                                                 profile  of  genes  influencing  milk
                                                                                 properties and lactation in Sahiwal cattle.
                                                                                        (Contributed by Dr. Reena Arora)


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