Growth performance of transgenic groundnut (Arachis hypogaea L.) plants engineered for resistance against tobacco streak virus

Sara Shomo, C. Senthilraja, R. Velazhahan*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Peanut stem necrosis disease (PSND) caused by Tobacco streak virus (TSV) is one of the most detrimental diseases affecting groundnut (Arachis hypogaea L.) in India. In order to develop engineered resistance against TSV based on RNA-interference, recently we transformed groundnut (cv. TMV-7) with a gene construct encoding the hairpin RNA (hpRNA) of TSV-coat protein (CP) gene sequence using Agrobacterium tumefaciens- mediated transformation method. In this study, T1 generation groundnut plants were evaluated for their growth and yield parameters under greenhouse conditions. The presence of the CP gene in the T1 generation plants was confirmed by PCR. The expected 421-bp band was generated by PCR amplification from genomic DNA of all transgenic plants tested indicating the presence of the CP gene in these plants. The mean plant height, number of pods per plant, number of kernels per plant, pod yield and oil content of transgenic plants did not significantly differ from that of non-transgenic wild type plants. These results indicate that transformation of groundnut with inverted repeat of CP gene of TSV and antibiotic marker genes did not affect the plant growth and oil content of transgenic plants.

Original languageEnglish
Pages (from-to)267-270
Number of pages4
JournalBiochemical and Cellular Archives
Volume16
Issue number2
Publication statusPublished - Oct 1 2016
Externally publishedYes

Keywords

  • Oil content
  • Peanut
  • Plant growth
  • RNAi
  • Transgenic plant

ASJC Scopus subject areas

  • Biochemistry
  • Cell Biology

Fingerprint

Dive into the research topics of 'Growth performance of transgenic groundnut (Arachis hypogaea L.) plants engineered for resistance against tobacco streak virus'. Together they form a unique fingerprint.

Cite this