Methodology of Drought Stress Research: Experimental Setup and Physiological Characterization

Natalia Osmolovskaya, Julia Shumilina, Ahyoung Kim, Anna Didio, Tatiana Grishina, Tatiana Bilova, Olga A. Keltsieva, Vladimir Zhukov, Igor Tikhonovich, Elena Tarakhovskaya, Andrej Frolov, Ludger A. Wessjohann

Результат исследований: Научные публикации в периодических изданияхОбзорная статьярецензирование

37 Цитирования (Scopus)
12 Загрузки (Pure)


Drought is one of the major stress factors affecting the growth and development of plants. In this context, drought-related losses of crop plant productivity impede sustainable agriculture all over the world. In general, plants respond to water deficits by multiple physiological and metabolic adaptations at the molecular, cellular, and organism levels. To understand the underlying mechanisms of drought tolerance, adequate stress models and arrays of reliable stress markers are required. Therefore, in this review we comprehensively address currently available models of drought stress, based on culturing plants in soil, hydroponically, or in agar culture, and critically discuss advantages and limitations of each design. We also address the methodology of drought stress characterization and discuss it in the context of real experimental approaches. Further, we highlight the trends of methodological developments in drought stress research, i.e., complementing conventional tests with quantification of phytohormones and reactive oxygen species (ROS), measuring antioxidant enzyme activities, and comprehensively profiling transcriptome, proteome, and metabolome.

Язык оригиналаАнглийский
Номер статьи4089
Число страниц25
ЖурналInternational Journal of Molecular Sciences
Номер выпуска12
Ранняя дата в режиме онлайн2018
СостояниеОпубликовано - 17 дек 2018

Предметные области Scopus

  • Биохимия
  • Молекулярная биология
  • Спектроскопия
  • Катализ
  • Неорганическая химия
  • Прикладные компьютерные науки
  • Физическая и теоретическая химия
  • Органическая химия

Ключевые слова

  • засуха, маркеры стресса, моделирование