Genome and transcriptome based comparative analysis of Tilletia indica to decipher the causal genes for pathogenicity of Karnal bunt in wheat.


Journal

BMC plant biology
ISSN: 1471-2229
Titre abrégé: BMC Plant Biol
Pays: England
ID NLM: 100967807

Informations de publication

Date de publication:
16 Jul 2024
Historique:
received: 11 09 2023
accepted: 28 03 2024
medline: 16 7 2024
pubmed: 16 7 2024
entrez: 15 7 2024
Statut: epublish

Résumé

Tilletia indica Mitra causes Karnal bunt (KB) in wheat by pathogenic dikaryophase. The present study is the first to provide the draft genomes of the dikaryon (PSWKBGD-3) and its two monosporidial lines (PSWKBGH-1 and 2) using Illumina and PacBio reads, their annotation and the comparative analyses among the three genomes by extracting polymorphic SSR markers. The trancriptome from infected wheat grains of the susceptible wheat cultivar WL711 at 24 h, 48h, and 7d after inoculation of PSWKBGH-1, 2 and PSWKBGD-3 were also isolated. Further, two transcriptome analyses were performed utilizing T. indica transcriptome to extract dikaryon genes responsible for pathogenesis, and wheat transcriptome to extract wheat genes affected by dikaryon involved in plant-pathogen interaction during progression of KB in wheat. A total of 54, 529, and 87 genes at 24hai, 48hai, and 7dai, respectively were upregulated in dikaryon stage while 21, 35, and 134 genes of T. indica at 24hai, 48hai, and 7dai, respectively, were activated only in dikaryon stage. While, a total of 23, 17, and 52 wheat genes at 24hai, 48hai, and 7dai, respectively were upregulated due to the presence of dikaryon stage only. The results obtained during this study have been compiled in a web resource called TiGeR ( http://backlin.cabgrid.res.in/tiger/ ), which is the first genomic resource for T. indica cataloguing genes, genomic and polymorphic SSRs of the three T. indica lines, wheat and T. indica DEGs as well as wheat genes affected by T. indica dikaryon along with the pathogenecity related proteins of T. indica dikaryon during incidence of KB at different time points. The present study would be helpful to understand the role of dikaryon in plant-pathogen interaction during progression of KB, which would be helpful to manage KB in wheat, and to develop KB-resistant wheat varieties.

Identifiants

pubmed: 39009989
doi: 10.1186/s12870-024-04959-z
pii: 10.1186/s12870-024-04959-z
doi:

Types de publication

Journal Article Comparative Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

676

Subventions

Organisme : Indian Council of Agricultural Research
ID : AMAAS (code no. OXX02744)
Organisme : Indian Council of Agricultural Research
ID : CABin grant (F. no. Agril. Edn.4-1/2013-A&P)
Organisme : Indian Council of Agricultural Research
ID : CABin grant (F. no. Agril. Edn.4-1/2013-A&P)
Organisme : Indian Council of Agricultural Research
ID : AMAAS (code no. OXX02744)
Organisme : Indian Council of Agricultural Research
ID : AMAAS (code no. OXX02744)
Organisme : Indian Council of Agricultural Research
ID : CABin grant (F. no. Agril. Edn.4-1/2013-A&P)

Informations de copyright

© 2024. The Author(s).

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Auteurs

Kalpana Singh (K)

Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Department of Bioinformatics, College of Animal Biotechnology, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, India.

Pradeep Sharma (P)

ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, India.

Sarika Jaiswal (S)

Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.

Pallavi Mishra (P)

Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.

Ranjeet Maurya (R)

Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.

Senthilkumar K Muthusamy (SK)

ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, India.
ICAR-Central Tuber Crops Research Institute, Thiruvananthapuram, Kerala, India.

M S Saharan (MS)

ICAR-Indian Agricultural Research Institute, New Delhi, India.

Rahul Singh Jasrotia (RS)

Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.

Jitender Kumar (J)

ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, India.

Shefali Mishra (S)

ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, India.

Sonia Sheoran (S)

ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, India.

G P Singh (GP)

ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, India.

U B Angadi (UB)

Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.

Anil Rai (A)

Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.

Ratan Tiwari (R)

ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, India. rattan.tiwari@icar.gov.in.

Mir Asif Iquebal (MA)

Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India. ma.iquebal@icar.gov.in.

Dinesh Kumar (D)

Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.

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