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Dive into the research topics where Subhash C. Bhardwaj is active.

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Featured researches published by Subhash C. Bhardwaj.


Genome Biology and Evolution | 2016

Draft Genome of the Wheat Rust Pathogen (Puccinia triticina) Unravels Genome-Wide Structural Variations during Evolution

Kanti Kiran; Hukam C. Rawal; Himanshu Dubey; Rajdeep Jaswal; B. N. Devanna; Deepak Kumar Gupta; Subhash C. Bhardwaj; Pramod Prasad; Dharam Pal; Parveen Chhuneja; P. Balasubramanian; J. Kumar; M. Swami; Amolkumar U. Solanke; Kishor Gaikwad; Nagendra Kumar Singh; Tilak Raj Sharma

Abstract Leaf rust is one of the most important diseases of wheat and is caused by Puccinia triticina, a highly variable rust pathogen prevalent worldwide. Decoding the genome of this pathogen will help in unraveling the molecular basis of its evolution and in the identification of genes responsible for its various biological functions. We generated high quality draft genome sequences (approximately 100- 106 Mb) of two races of P. triticina; the variable and virulent Race77 and the old, avirulent Race106. The genomes of races 77 and 106 had 33X and 27X coverage, respectively. We predicted 27678 and 26384 genes, with average lengths of 1,129 and 1,086 bases in races 77 and 106, respectively and found that the genomes consisted of 37.49% and 39.99% repetitive sequences. Genome wide comparative analysis revealed that Race77 differs substantially from Race106 with regard to segmental duplication (SD), repeat element, and SNP/InDel characteristics. Comparative analyses showed that Race 77 is a recent, highly variable and adapted Race compared with Race106. Further sequence analyses of 13 additional pathotypes of Race77 clearly differentiated the recent, active and virulent, from the older pathotypes. Average densities of 2.4 SNPs and 0.32 InDels per kb were obtained for all P. triticina pathotypes. Secretome analysis demonstrated that Race77 has more virulence factors than Race 106, which may be responsible for the greater degree of adaptation of this pathogen. We also found that genes under greater selection pressure were conserved in the genomes of both races, and may affect functions crucial for the higher levels of virulence factors in Race77. This study provides insights into the genome structure, genome organization, molecular basis of variation, and pathogenicity of P. triticina. The genome sequence data generated in this study have been submitted to public domain databases and will be an important resource for comparative genomics studies of the more than 4000 existing Puccinia species.


Scientific Reports | 2017

Dissection of genomic features and variations of three pathotypes of Puccinia striiformis through whole genome sequencing

Kanti Kiran; Hukam C. Rawal; Himanshu Dubey; Rajdeep Jaswal; Subhash C. Bhardwaj; Pramod Prasad; Dharam Pal; B. N. Devanna; Tilak Raj Sharma

Stripe rust of wheat, caused by Puccinia striiformis f. sp. tritici, is one of the important diseases of wheat. We used NGS technologies to generate a draft genome sequence of two highly virulent (46S 119 and 31) and a least virulent (K) pathotypes of P. striiformis from the Indian subcontinent. We generated ~24,000–32,000 sequence contigs (N50;7.4–9.2 kb), which accounted for ~86X–105X sequence depth coverage with an estimated genome size of these pathotypes ranging from 66.2–70.2 Mb. A genome-wide analysis revealed that pathotype 46S 119 might be highly evolved among the three pathotypes in terms of year of detection and prevalence. SNP analysis revealed that ~47% of the gene sets are affected by nonsynonymous mutations. The extracellular secreted (ES) proteins presumably are well conserved among the three pathotypes, and perhaps purifying selection has an important role in differentiating pathotype 46S 119 from pathotypes K and 31. In the present study, we decoded the genomes of three pathotypes, with 81% of the total annotated genes being successfully assigned functional roles. Besides the identification of secretory genes, genes essential for pathogen-host interactions shall prove this study as a huge genomic resource for the management of this disease using host resistance.


Frontiers in Plant Science | 2016

Comparative Temporal Transcriptome Profiling of Wheat near Isogenic Line Carrying Lr57 under Compatible and Incompatible Interactions.

Inderjit Singh Yadav; Amandeep Sharma; Satinder Kaur; Natasha Nahar; Subhash C. Bhardwaj; Tilak Raj Sharma; Parveen Chhuneja

Leaf rust caused by Puccinia triticina (Pt) is one of the most important diseases of bread wheat globally. Recent advances in sequencing technologies have provided opportunities to analyse the complete transcriptomes of the host as well as pathogen for studying differential gene expression during infection. Pathogen induced differential gene expression was characterized in a near isogenic line carrying leaf rust resistance gene Lr57 and susceptible recipient genotype WL711. RNA samples were collected at five different time points 0, 12, 24, 48, and 72 h post inoculation (HPI) with Pt 77-5. A total of 3020 transcripts were differentially expressed with 1458 and 2692 transcripts in WL711 and WL711+Lr57, respectively. The highest number of differentially expressed transcripts was detected at 12 HPI. Functional categorization using Blast2GO classified the genes into biological processes, molecular function and cellular components. WL711+Lr57 showed much higher number of differentially expressed nucleotide binding and leucine rich repeat genes and expressed more protein kinases and pathogenesis related proteins such as chitinases, glucanases and other PR proteins as compared to susceptible genotype. Pathway annotation with KEGG categorized genes into 13 major classes with carbohydrate metabolism being the most prominent followed by amino acid, secondary metabolites, and nucleotide metabolism. Gene co-expression network analysis identified four and eight clusters of highly correlated genes in WL711 and WL711+Lr57, respectively. Comparative analysis of the differentially expressed transcripts led to the identification of some transcripts which were specifically expressed only in WL711+Lr57. It was apparent from the whole transcriptome sequencing that the resistance gene Lr57 directed the expression of different genes involved in building the resistance response in the host to combat invading pathogen. The RNAseq data and differentially expressed transcripts identified in present study is a genomic resource which can be used for further studying the host pathogen interaction for Lr57 and wheat transcriptome in general.


Frontiers in Plant Science | 2018

Genome Wide Association Mapping of Seedling and Adult Plant Resistance to Barley Stripe Rust (Puccinia striiformis f. sp. hordei) in India

Andrea Visioni; Sanjaya Gyawali; R. Selvakumar; Om P. Gangwar; Pradeep S. Shekhawat; Subhash C. Bhardwaj; Ayed M. Al-Abdallat; Zakaria Kehel; Ramesh Pal Singh Verma

Barley stripe rust is caused by Puccinia striiformis f.sp. hordei, (Psh), occurs worldwide, and is a major disease in South Asia. The aim of this work was to identify and estimate effects of loci underlying quantitative resistance to rust at seedling and adult plant stages. HI-AM panel of 261 barley genotypes consisting of released cultivars from North and South America, Europe, Australia, advanced breeding lines, and local landraces from ICARDA barley program were screened at seedling and adult plant stages for resistance to Psh. Seedling resistance was evaluated with the five prevalent Psh races in India. Screening for the adult plant stage resistance was also performed in two different locations by inoculating with a mixture of the five races used for seedling screeing. The panel was genotyped using DaRT-Seq high-throughput genotyping platform. The genome-wide association mapping (GWAM) showed a total of 45 QTL located across the seven barley chromosomes for seedling resistance to the five races and 18 QTL for adult plant stage resistance. Common QTL for different races at seedling stage were found on all chromosomes except on chromosome 1H. Four common QTL associated with seedling and adult plant stage resistance were found on chromosomes 2, 5, and 6H. Moreover, one of the QTL located on the long arm of chromosome 5H showed stable effects across environments for adult plant stage resistance. Several QTL identified in this study were also reported before in bi-parental and association mapping populations studies validating current GWAM. However 15 new QTL were found at adult plant stage on all chromosomes except the 4H, explaining up to 36.79% of the variance. The promising QTL detected at both stages, once validated, can be used for MAS in Psh resistance breeding program globally.


Journal of Phytopathology | 2013

Protecting South Asian wheat production from Stem Rust (Ug99) epidemic

Rajiv K. Sharma; Pawan K. Singh; Vinod; Arun K. Joshi; Subhash C. Bhardwaj; N. S. Bains; Sukhwinder Singh


Indian phytopathology | 2015

Evaluation of wheat (Triticum aestivum) germplasm and varieties against stem rust (Puccinia graminis f. sp. tritici) pathotype Ug99 and its variants

Anubhuti Sharma; M. S. Saharan; Subhash C. Bhardwaj; M. Prashar; R. Chatrath; Vineeta Tiwari; Mangal Singh; Indu Sharma


Plant Pathology | 2018

Molecular breeding technologies and strategies for rust resistance in wheat (Triticum aestivum) for sustained food security

Siddanna Savadi; Pramod Prasad; Prem Lal Kashyap; Subhash C. Bhardwaj


Journal of Phytopathology | 2018

Identification of additional sources of resistance to Puccinia striiformis f. sp. hordei (PSH) in a collection of barley genotypes adapted to the high input condition

Ramesh Pal Singh Verma; R. Selvakumar; Om P. Gangwar; Pradeep S. Shekhawat; Subhash C. Bhardwaj; Sajid Rehman; Dipak Sharma‐Poudyal; Sanjaya Gyawali


Agricultural Research Journal | 2018

Current status of wheat diseases in Punjab

Jaspal Kaur; Ritu Bala; Harmandeep Kaur; P.P.S. Pannu; Ashok Kumar; Subhash C. Bhardwaj


Archive | 2017

Chapter 12: Molecular Markers for Wheat Improvement: Tool for Precision Rust Resistance Breeding

Subodh Kumar; Subhash C. Bhardwaj; Om P. Gangwar; Pramod Prasad; Hanif Khan; Siddanna Savadi

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Pramod Prasad

Indian Council of Agricultural Research

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Om P. Gangwar

Indian Council of Agricultural Research

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Hanif Khan

Indian Council of Agricultural Research

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Siddanna Savadi

Indian Council of Agricultural Research

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Subodh Kumar

Indian Veterinary Research Institute

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Indu Sharma

Punjab Agricultural University

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R. Selvakumar

Indian Council of Agricultural Research

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Tilak Raj Sharma

Indian Council of Agricultural Research

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B. N. Devanna

Indian Council of Agricultural Research

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Dharam Pal

Indian Agricultural Research Institute

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