Testing of Cotton Leaf Curl Virus Resistance of Candidate Varieties/strains Through Different Techniques

Mahmood, Tariq; Tahir, Muhammad Nouman; Mahmood, Hafiz Tariq; Hussain, Sabahat

doi:10.3923/ajps.2002.489.491

Cited by 1 publication

(1 citation statement)

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“…However, plant biotechnology can provide a quick and direct method of introducing a gene of interest into crops, which seems to be a more attractive approach for improving resistance against different threats (Cushman and Bohnert, 2000). Through screening methods, the cultivar CIM-482 showed resistant to tolerant behavior to CLCuV infection in Punjab in 2000 (Mahmood et al, 2002;Perveen et al, 2005). Recently, however, this cultivar was also found to be susceptible to a great extent to CLCuV disease, due to a resistance-breaking combination of virus and satellite DNA or changing environmental conditions suitable for its establishment and the presence of whitefly, the insect vector of CLCuV (Sattar et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

Identification and expression profiling of CLCuV-responsive transcripts in upland cotton (Gossypium hirsutum L.)

Aftab¹,

Shahid²,

Riaz³

et al. 2014

Turk J Biol

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CLCuV is one of the most serious causes of cotton damage for which no adequate remedy is available. The possible solution to this problem may be the transfer of resistant genes into the background of agronomical CLCuV-tolerant varieties. In response to viral infection, several plants may show qualitative and quantitative variations in gene expression. To study gene expression between diseased and tolerant plants, DDRT-PCR was performed. Upregulated gene expression was observed among cDNA transcripts screened through random primers. Seven transcripts have significant homology with known proteins (ribosomal protein, photosystem protein unit, membrane protein, and a predicted hypothetical protein). Quantitative real-time PCR showed varied levels of expression in tolerant as compared to CLCuV-diseased leaf samples. The potential candidate transcript DET1 was generated full length as GhLCVR. The deduced amino acid sequence, with a molecular mass of 16.1 kDa, contains a single open reading frame of 142 amino acids. The predicted amino acid sequence shares 33%-80% identities with Glycine max, Populus trichocarpa, Vitis vinifera, Zea mays, Ricinus communis, Arabidopsis thaliana, Picea sitchensis, Physcomitrella patens, and Staphylococcus aureus in descending order. This gene and other identified DETs could provide a valuable resource for the future improvement of cotton varieties against CLCuV infection.

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Section: Discussionmentioning

confidence: 99%