Metabolic Pattern Alterations in Pearl Millet Inflorescence Florets Caused by Downy Mildew

Title

Metabolic Pattern Alterations in Pearl Millet Inflorescence Florets Caused by Downy Mildew

Authors

1. Sarika Pillai, Telangana University, Nizamabad, Telangana, Student, India
2. Amit Modi, Telangana University, Nizamabad, Telangana, Professor, India

Abstract

Millions of people in dry and semi-arid areas rely on pearl millet, scientifically known as Pennisetum glaucum, as a grain crop. However, the parasite Sclerospora graminicola, which causes downy mildew, dramatically reduces its output. The impact of downy mildew contamination on the chemical composition of millet and pearl inflorescence florets, namely floral deformity, is investigated in this research. Using cutting-edge metabolomic methods, we determined that the metabolite composition of diseased florets differed significantly from that of healthy controls. Levels of both primary and secondary metabolites changed, suggesting metabolic pathway disruption and stress reactions due to these alterations. Our research sheds light on the molecular mechanisms that cause floral malformation caused by downy mildew and could help in the quest to create tolerant pearl millet variants.

Keywords

Pearl millet downy mildew Sclerospora graminicola floral malformation metabolite profiling metabolomics plant pathology stress response.

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Conclusion

According to this research, Pearl millet blooming florets undergo significant changes in their metabolite profiles upon infection with downy mold. These changes are most noticeable in the areas linked to floral deformity. Improved knowledge of the relationships between plants and pathogens and potential avenues for disease management approach creation in pearl millet is aided by this metabolomic study's results.

Reference

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Author Contribution

The author takes full responsibility for the entire study process, including design, data collection, analysis, and manuscript writing.

Funding

The authors received no financial support for the research, authorship, or publication of this article from any funding agencies.

Software Information

No specific software or tools were used in the research.

Conflict of Interest

No conflicts of interest are reported by the authors.

Acknowledge

I appreciate the assistance and expertise provided by everyone involved in this research and manuscript, and the valuable comments from peer reviewers.

Data availability

No data are available for sharing in this research.