Dergiler / Turkish Journal of Agriculture and Forestry / 2014 / Cilt: 38 - Sayı: 5

Transcriptomic analysis of tomato lines reveals putative stress-specific biomarkers

Sayfa
700–715
Yayın Tarihi
2014-05-01
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Putative abiotic stress biomarkers can be utilized in breeding programs to improve the selection process and to aid in gene stacking.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Different abiotic stresses recruit dedicated signaling and regulatory genes in plants.
📊
Temel Bulgular & Veri:For each stress type, 2 different tomato lines were included: susceptible and tolerant.
💡
Sonuç & Katkı:Putative abiotic stress biomarkers can be utilized in breeding programs to improve the selection process and to aid in gene stacking.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Biomarkers · drought · heat

Özet

Different abiotic stresses recruit dedicated signaling and regulatory genes in plants. Genome-wide stress-specific biomarkers were investigated in tomatoes. Three major abiotic stresses were compared: drought, heat, and salinity. For each stress type, 2 different tomato lines were included: susceptible and tolerant. Gene expression was examined by hybridizing to an available tomato microarray. Several stress responsive genes were upregulated in tolerant as well as in susceptible lines for each stress. Comparative analysis of gene expression in response to stress (drought, heat, or salinity) resolved a number of common biomarkers, while other groups of putative biomarkers were associated with each abiotic stress. MYB transcription factors, SAUR family proteins, and NAC domain proteins were among the highly upregulated genes under drought, while both proteinase inhibitors and heat shock proteins were prominent in the heat-tolerant line. For salinity stress, the expression of phosphate starvation-induced proteins was observed. Putative abiotic stress biomarkers can be utilized in breeding programs to improve the selection process and to aid in gene stacking.

Abstract

Different abiotic stresses recruit dedicated signaling and regulatory genes in plants. Genome-wide stress-specific biomarkers were investigated in tomatoes. Three major abiotic stresses were compared: drought, heat, and salinity. For each stress type, 2 different tomato lines were included: susceptible and tolerant. Gene expression was examined by hybridizing to an available tomato microarray. Several stress responsive genes were upregulated in tolerant as well as in susceptible lines for each stress. Comparative analysis of gene expression in response to stress (drought, heat, or salinity) resolved a number of common biomarkers, while other groups of putative biomarkers were associated with each abiotic stress. MYB transcription factors, SAUR family proteins, and NAC domain proteins were among the highly upregulated genes under drought, while both proteinase inhibitors and heat shock proteins were prominent in the heat-tolerant line. For salinity stress, the expression of phosphate starvation-induced proteins was observed. Putative abiotic stress biomarkers can be utilized in breeding programs to improve the selection process and to aid in gene stacking.

🔖

Bu Makaleye Atıf Yap

SADDER, M., ALSADON, A., WAHB-ALLAH, M. (2014). Transcriptomic analysis of tomato lines reveals putative stress-specific biomarkers. Turkish Journal of Agriculture and Forestry, Cilt: 38 - Sayı: 5, 700–715. https://ajindex.com/articles/179714

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (15)

  1. Albacete A, Ghanem ME, Dodd IC, Pérez-Alfocea F (2010). Principal component analysis of hormone profiling data suggests an important role for cytokinins in regulating leaf growth and senescence of salinized tomato. Plant Signal Behav 5: 45–48.
  2. Alsadon AA, Sadder MT, Wahb-Allah MA (2013). Responsive gene screening and exploration of genotypes responses to salinity tolerance in tomato. Aust J Crop Sci 7: 1383–1395.
  3. Amtmann A (2009). Learning from evolution: Thellungiella generates new knowledge on essential and critical components of abiotic stress tolerance in plants. Mol Plant 2: 3–12.
  4. Areshchenkova T, Ganal M (1999). Long tomato microsatellite are predominantly associated with centromeric regions. Genome 42: 536–544.
  5. Chen Y, Qiu K, Kuai B, Ding Y (2011). Identification of an NAP- like transcription factor BeNAC1 regulating leaf senescence in bamboo (Bambusa emeiensis ‘Viridiflavus’). Physiol Plantarum 142: 361–371.
  6. Chinnusamy V, Jagendorf A, Zhu JK (2005). Understanding and improving salt tolerance in plants. Crop Sci 45: 437–448.
  7. Cushman JC, Bohnert HJ (2000). Genomic approaches to plant stress tolerance. Curr Opin Plant Biol 3: 117–124.
  8. Daldoul S, Höfer MU, Linhard C, Jallouli N, Mliki A, Reustle GM, Ghorbel A (2008). Expression analysis of salt stress responsive genes in grapevines. In: Abdelly C, Öztürk M, Ashraf M, Grignon C, editors. Biosaline Agriculture and High Salinity Tolerance. Basel, Switzerland: Birkhäuser Verlag, pp. 297–303.
  9. Dombrowski JE (2003). Salt stress activation of wound-related genes in tomato plants. Plant Physiol 132: 2098–2107.
  10. Foolad R (2004). Recent advances in genetics of salt tolerance in tomato. Plant Cell Tiss Org 76: 101–119.
  11. Grover A, Chandan S, Sanan N, Grover A (1999). Taming abiotic stresses in plants through genetic engineering: current strategies and perspective. Plant Sci 143: 101–111.
  12. Halford NG, Hey S, Jhurreea D, Laurie S, McKibbin RS, Paul M, Zhang Y (2003). Metabolic signaling and carbon partitioning: role of Snf1‐related (SnRK1) protein kinase. J Exp Bot 54: 467–475.
  13. Hazen SP, Wu Y, Kreps JA (2003). Gene expression profiling of plant responses to abiotic stress. Funct Integr Genomics 3: 105–111.
  14. Herbers K, Prat S, Willmitzer L (1994). Cloning and characterization of a cathepsin D inhibitor gene from Solanum tuberosum L. Plant Mol Biol 26: 73–83.
  15. Kant S, Bi YM, Zhu T, Rothstein ST (2009). SAUR39, a small auxin- up RNA gene, acts as a negative regulator of auxin synthesis and transport in rice. Plant Physiol 15