Dr. Amit Kumar singh

Dr. Amit Kumar singh
Senior Scientist

Division/RS/Unit

Division of Genomic  Resources

Contact

Off.-011-25802790
Email- Amit.Singh5(AT)icar.gov.in, amit_singh79(AT)yahoo.com

Qualification

DegreeDisciplineYear
M.Sc. Ag.Biotechnology2002
Ph.D.Plant Pathology2007
Post DoctoratePlant Genomics2015

SPECIALIZATION
Plant Biotechnology

Salient Achievements

  • Developed a novel molecular marker system, CAAT Box Derived Polymorphism (CBDP) which is widely used by researchers for genetic diversity and trait mapping studies in plants.
  • Developed a web-based server G-DIRT (Germplasm Duplicate Identification and Removal Tool) that can be reliably used for identification of duplicate germplasm using SNP-genotyping data. It is the first web-based tool for identification of duplicate germplasm in germplasm collection of crops.
  • Identified 20 genetic stocks of wheat for various desirable traits.
  • Mapped important traits in wheat including salt, drought and rust resistance.
  • First to report large-scale discovery of SNP markers and genome-wide association study in moth bean (Vigna aconitifolia)
  • First to report transcriptome-wide association study to map important traits in rice bean (Vigna umbellata)

Awards/Honours

  1. Academic Editors, PLOS One, BMC Plant Biology, BMC Genomics, Frontiers in Genetics, IJPGR
  2. Endeavour Research Fellowship, Department of Education, Govt. of Australia, 2015
  3. Dr. R.S. Paroda Young Scientist award from Indian Society of Plant Genetic Resources, New Delhi, 2018
  4. Fellow Indian Society of Genetics and Plant Breeding, New Delhi
  5. Fellow Indian Society of Genetics and Plant Breeding, New Delhi
  6. Kirtikar Memorial, University Gold Medal, Chandra Shekhar Azad University of Agricultural and Technology, Kanpur, 2001
  7. Merit scholarship in graduation, Chandra Shekhar Azad University of Agricultural and Technology, Kanpur

Recent Publications Research Papers

  1. Sahu, T.K., Verma, S.K., Gayacharan…Singh AK* (2024). Transcriptome-wide association mapping provides insights into the genetic basis and candidate genes governing flowering, maturity and seed weight in rice bean (Vigna umbellata). BMC Plant Biol24, 379 (2024). https://doi.org/10.1186/s12870-024-04976-y
  2. Kumari J, Lakhwani D, Jakhar P, Sharma S, Tiwari S, Mittal S, Avashthi H, Shekhawat N, Singh K, Mishra KK, Singh R Yadav MC, Singh GP, Singh AK (2023) Association mapping reveals novel genes and genomic regions controlling grain size architecture in mini core accessions of Indian National Genebank wheat germplasm collection. Genet. 28;14:1148658.
  3. Yadav AK, Singh CK, Kalia RK, Mittal S, Wankhede DP, Singh AK et al. (2023). Genetic diversity, population structure, and genome-wide association study for the flowering trait in a diverse panel of 428 moth bean (Vigna aconitifolia) accessions using genotyping by sequencing. BMC Plant Biol. 23(1):228.
  4. Francis A, Singh NP, Singh M, Sharma P, Gayacharan, Kumar D, Basu U, Bajaj D, Varshney N, Joshi DC, Semwal DP, Tyagi V, Wankhede D, Bharadwaj R, Singh AK, Parida SK, Chattopadhyay D (2023) The ricebean genome provides insight into Vigna genome evolution and facilitates genetic enhancement. Plant Biotechnol J. 21(8):1522-1524. Sahu TK, Singh AK*, Mittal S, Jha SK, Kumar S, Jacob SR, Singh K (2022) G-DIRT: a web server for identification and removal of duplicate germplasms based on identity-by-state analysis using single nucleotide polymorphism genotyping data. Brief Bioinform. doi: 10.1093/bib/bbac348.
  5. Verma SK, Shikha M, Gayacharan , Wankhede DP, Parida SK, C Debasis , Geeta P,  Mishra DC, Joshi DC,  Mohar S, Kuldeep S, Singh AK* (2022) Transcriptome analysis reveals key pathways and candidate genes controlling seed development and size in ricebean (Vigna umbellata). Genet. 12:791355
  6. Verma SK, Shikha M, Gayacharan , Wankhede DP, Parida SK, C Debasis , Geeta P,  Mishra DC, Joshi DC,  Mohar S, Kuldeep S, Singh AK* (2022) Transcriptome analysis reveals key pathways and candidate genes controlling seed development and size in ricebean (Vigna umbellata). Genet. 12:791355. 
  7. Chaurasia S, Singh AK*, Kumar A, Songachan LS, Yadav MC, Kumar S, Kumari J, Bansal R, Sharma PC, Singh K (2021) Genome-wide association mapping reveals key genomic regions for physiological and yield-related traits under salinity stress in wheat (Triticum aestivum). Genomics. 113(5):3198-215.
  8. Chaurasia S, Singh AK*, Songachan LS, Sharma AD, Bhardwaj R, Singh K (2020) Multi-locus genome-wide association studies reveal novel genomic regions associated with vegetative stage salt tolerance in bread wheat (Triticum aestivumL.).  Genomics, 112: 4608-4621
  9. Kumar S, Kumari J, Bhusal N, Pradhan AK, Budhlakoti N, Mishra DC, Chauhan D, Kumar S, Singh AK* et al. (2020) Genome-wide association study reveals genomic regions associated with ten agronomical traits in wheat under late-sown conditions. Plant Sci.10.3389/fpls.2020.549743
  10. Geeta P, Mittal S, Kumar A, Chauhan D, Sahu T, Kumar S, Singh R, Yadav MC, Singh AK* (2021). Transcriptome analysis of bread wheat genotype KRL3-4 provides a new insight into regulatory mechanisms associated with sodicity (high pH) tolerance. Front. Genet. 10.3389/fgene.2021.782366.

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