Proteomics: an efficient tool to analyze nematode proteins

Authors

  • Savithiry S Natarajan USDA-ARS, Soybean Genomics and Improvement Laboratory, PSI, Beltsville, MD 20705, USA
  • Benjamin F Matthews USDA-ARS, Soybean Genomics and Improvement Laboratory, PSI, Beltsville, MD 20705, USA

DOI:

https://doi.org/10.48165/

Keywords:

bioinformatic, resulting, molecular

Abstract

Soybean cyst nematode (Heterodera glycines, mixtures that are part of biological research on  SCN) is the most destructive pathogen of varied fronts, from evolutionary investigations  soybean (Glycine max (L.) Merr.), and is to cancer research. Recent advances in mass  responsible for estimated annual yield losses of spectrometry, the establishment of various  $457 to $819 million (2003-2005) in the United protein databases, and availability of high 

References

Chen X, MacDonald MH, Garrett WM, Matthews BF, Natarajan SS. 2011. Nematropica, 41: 240-47.

Chen X, MacDonald MH, Khan F, Garrett WM, Matthews BF, Natarajan SS. 2011. Proteomics, 11: 4742-46.

Hurkman WJ, Tanaka CK. 1986. Plant Physiology, 81: 802-06.

Klink VP, Overall CC, Alkharouf NW, MacDonald MH, Matthews BF. 2007. Planta, 226: 1423-47.

Wrather JA, Koenning SR. 2006. Journal of Nematology, 38: 173-80.

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Published

2022-01-30

Issue

Vol. 3 No. 2 (2021): Journals The Journal of Plant Protection Sciences (Dec)

Section

Short Communication

How to Cite

Proteomics: an efficient tool to analyze nematode proteins . (2022). The Journal of Plant Protection Sciences, 3(2), 61–64. https://doi.org/10.48165/