| Literature DB >> 23838956 |
Sanjay Mohan Gupta1, Sadhana Singh, Pankaj Pandey, Atul Grover, Zakwan Ahmed.
Abstract
Cross-amplification of five Arabidopsis abiotic stress-responsive genes (AtPAP, ZFAN, Vn, LC4 and SNS) in Lepidium has been documented in plants raised out of seeds pre-treated with potassium nitrate (KNO 3) for assessment of enhanced drought stress tolerance. cDNA was synthesized from Lepidium plants pre-treated with KNO 3 (0.1% and 0.3%) and exposed to drought conditions (5% and 15% PEG) at seedling stage for 30 d. Transcript accumulation of all the five genes were found suppressed in set of seedlings, which were pre-treated with 0.1% KNO 3 and were exposed to 15% PEG for 30 d. The present study establishes that different pre-treatments may further enhance the survivability of Lepidium plants under conditions of drought stress to different degrees.Entities:
Keywords: Lepidium latifolium; drought stress; polyethylene glycol; pre-germination treatment; seed dormancy
Mesh:
Substances:
Year: 2013 PMID: 23838956 PMCID: PMC4002603 DOI: 10.4161/psb.25388
Source DB: PubMed Journal: Plant Signal Behav ISSN: 1559-2316

Figure 1. Germination percentage and Timson Index (Ti) of Lepidium latifolium L. seeds as influenced by various pre-sowing seed priming treatments including NaCl (50, 250, 500 mg/L), KNO3 (0.1, 0.2, 0.3%), thiourea (1, 2, 3%), GA3 (100, 250, 500 mg/L), hot water (65°C) stratifications (24, 48, 72 h) and sulphuric acid (98% for 1, 2 and 5 min). A set of seeds without pre-sowing treatments was considered as control (C).
Table 1. Pre-Treatment of Lepidium seeds and subsequent exposure to drought stress
| Pre germination Treatment | Post-transplant treatment- 1 | Post-transplant treatment- 2 | Performance | Experimental set up No. | ||
|---|---|---|---|---|---|---|
| H2O | H2O | H2O | Death | 1.1.1 | ||
| 5% PEG | Stunted growth | 1.1.2 | ||||
| 15% PEG | Stunted growth | 1.1.3 | ||||
| 30% PEG | Death | 1.1.4 | ||||
| 5% PEG | H2O | Death | 1.2.1 | |||
| 5% PEG | 1.2.2 | |||||
| 15% PEG | 1.2.3 | |||||
| 30% PEG | 1.2.4 | |||||
| 15% PEG | H2O | Death | 1.3.1 | |||
| 5% PEG | Stunted growth | 1.3.2 | ||||
| 15% PEG | Stunted growth | 1.3.3 | ||||
| 30% PEG | Death | 1.3.4 | ||||
| 0.1% KNO3 | H2O | H2O | Good growth | 2.1.1 | ||
| 5% PEG | Good growth | 2.1.2 | ||||
| 15% PEG | Stunted growth | 2.1.3 | ||||
| 30% PEG | Death | 2.1.4 | ||||
| 5% PEG | H2O | Good growth | 2.2.1 | |||
| 5% PEG | Good growth | 2.2.2 | ||||
| 15% PEG | Stunted growth | 2.2.3 | ||||
| 30% PEG | Death | 2.2.4 | ||||
| 15% PEG | H2O | Good growth | 2.3.1 | |||
| 5% PEG | Death | 2.3.2 | ||||
| 15% PEG | Stunted growth | 2.3.3 | ||||
| 30% PEG | Death | 2.3.4 | ||||
| 0.2% KNO3 | H2O | H2O | Good growth | 3.1.1 | ||
| 5% PEG | Good growth, but poor health | 3.1.2 | ||||
| 15% PEG | Good growth, but poor health | 3.1.3 | ||||
| 30% PEG | Death | 3.1.4 | ||||
| 5% PEG | H2O | Death | 3.2.1 | |||
| 5% PEG | 3.2.2 | |||||
| 15% PEG | 3.2.3 | |||||
| 30% PEG | 3.2.4 | |||||
| 15% PEG | H2O | Death | 3.3.1 | |||
| 5% PEG | 3.3.2 | |||||
| 15% PEG | 3.3.3 | |||||
| 30% PEG | 3.3.4 | |||||
| 0.3% KNO3 | H2O | H2O | Good growth | 4.1.1 | ||
| 5% PEG | Good growth, but poor health | 4.1.2 | ||||
| 15% PEG | Good growth, but poor health | 4.1.3 | ||||
| 30% PEG | Death | 4.1.4 | ||||
| 5% PEG | H2O | Good growth | 4.2.1 | |||
| 5% PEG | Good growth, but poor health | 4.2.2 | ||||
| 15% PEG | Stunted growth | 4.2.3 | ||||
| 30% PEG | Death | 4.2.4 | ||||
| 15% PEG | H2O | Good growth | 4.3.1 | |||
| 5% PEG | Stunted growth | 4.3.2 | ||||
| 15% PEG | Death | 4.3.3 | ||||
| 30% PEG | Death | 4.3.4 | ||||
Note: The visible inspection of “good growth” and “stunted growth” is relative to each other. A statistically significant difference of average length of midrib of longest leaf > 7 cm was called “good growth”, while average length of midrib of longest leaf < 5 cm was called “stunted growth.” In none of the data sets, average lengths of midrib of longest leaves were found in the range 5–7 cm.
“Poor health” describes the condition of relatively more number of yellowing and senescent leaves on average in a particular data set compared with healthy and green leaves.
Table 2. Transcript accumulation of abiotic stress related genes in response to different post-transplant treatments
| Pre-germination Treatment | Post-transplant treatment-1 | Post-transplant treatment-2 | Transcript Accumulation (Folds) | ||||
|---|---|---|---|---|---|---|---|
| H2O | H2O | 1.00 | 1.01 | 2.37 | 0 | 1.01 | |
| 15% PEG | 0.83 | 0.99 | 1.62 | 0 | 1.00 | ||
| 5% PEG | H2O | 0 | 1.05 | 1.59 | 0 | 1.11 | |
| 15% PEG | 0.87 | 0.98 | 1.56 | 0 | 1.12 | ||
| 15% PEG | H2O | 1.68 | 1.27 | 1.96 | 0 | 1.21 | |
| 15% PEG | 0 | 1.01 | 0 | 0 | 0.93 | ||
| H2O | H2O | 0 | 0.92 | 0 | 0 | 0 | |
| 15% PEG | 2.97 | 1.26 | 3.39 | 0.28 | 1.21 | ||
| 5% PEG | H2O | 2.52 | 1.22 | 0.90 | 0.16 | 1.02 | |
| 15% PEG | 2.75 | 1.05 | 3.61 | 0.21 | 1.26 | ||
Actin transcript accumulation was recorded 41.21 ng under control conditions.

Figure 2. Experimental out line of pre- and post-germination treatments in Lepidium latifolium.
Table 3. List of primers used for cross-amplification of Arabidopsis genes and in semi quantitative transcript accumulation of different abiotic stress responsive genes
| Gene name | Description | Forward Primer (5′-3′) |
|---|---|---|
| Calcium binding protein coding gene | ATGAAGGGGA GGATTTCGAA G | |
| Zinc finger protein coding gene | AGTGGCTCAG AGGAAAACAA CTCA | |
| Calcinurin like gene | ATGAAGGATC CGAAACTAAG | |
| LHCA4 gene encodes the photosystem 1 type IV chlorophyll a/b-binding protein complex | ATGGCTACTG TCACTACTCA TGTTA | |
| Senescence related gene | CCTCTCGAAT CTGCTTTTCG CAGTC | |
| Leafy gene | ATGGATCCTG AAGGTTTCAC CAG | |
| Zinc transporter gene | CCTGAGGGAA AATGCAGAC | |
| Short chain dehydrogenase related gene | TGGATGGTGC TGGCTCTGGA | |
| Vernalization related gene | ATGTGTAGGC AGAATTGTCG C | |
| Plastid Lipid associated protein coding gene | TTGCGGCATT TAGATTCTCC AGCT | |
| Senescence related gene | ATGGCTTCGT ATTACTCTGG T | |
| APE2 transporter gene | ATGGAGTCAC GCGTGCTGT | |
| Cbf4 gene | ATGAATCCAT TTTACTCTAC ATTCC | |
| Serine/Threonin kinase gene | ATGACTGATG AGGTAGACGG |