Biotic and Abiotic Stress Responses in Crop Plants

Dresselhaus, Thomas; Hückelhoven, Ralph

doi:10.3390/agronomy8110267

Cited by 156 publications

(78 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Differential gene expression analysis revealed increased changes of gene expression in Ain1 in comparison to the freezing adapted Osl1. A lower degree of adjustment of transcription supported the notion of Osl1 adaptability to freezing stress by showing lower levels of response 61,62 . We constructed correlation-based networks for Ain1 and Osl1 39 .…”

Section: Discussionsupporting

confidence: 59%

Correlation-based network analysis combined with machine learning techniques highlight the role of the GABA shunt in Brachypodium sylvaticum freezing tolerance

Toubiana

Sade

Liu

et al. 2020

Sci Rep

View full text Add to dashboard Cite

Perennial grasses will account for approximately 16 billion gallons of renewable fuels by the year 2022, contributing significantly to carbon and nitrogen sequestration. However, perennial grasses productivity can be limited by severe freezing conditions in some geographical areas, although these risks could decrease with the advance of climate warming, the possibility of unpredictable early cold events cannot be discarded. We conducted a study on the model perennial grass Brachypodium sylvaticum to investigate the molecular mechanisms that contribute to cold and freezing adaption. The study was performed on two different B. sylvaticum accessions, Ain1 and Osl1, typical to warm and cold climates, respectively. Both accessions were grown under controlled conditions with subsequent cold acclimation followed by freezing stress. For each treatment a set of morphological parameters, transcription, metabolite, and lipid profiles were measured. State-of-the-art algorithms were employed to analyze cross-component relationships. Phenotypic analysis revealed higher adaption of Osl1 to freezing stress. Our analysis highlighted the differential regulation of the TCA cycle and the GABA shunt between Ain1 and Osl1. Osl1 adapted to freezing stress by repressing the GABA shunt activity, avoiding the detrimental reduction in fatty acid biosynthesis and the concomitant detrimental effects on membrane integrity.The increase in energy demand coupled with the environmental impact of fossil fuels has led to the expansion of programs using perennial species as an alternative source of energy. In this context, perennial grasses, traditionally used as forage and turf, have become the preferred candidates for biomass cropping systems attributed to their ability to grow under low input conditions and high interception of sunlight 1 . Predictions showed that perennial grasses will account for approximately 16 billion gallons of renewable fuels by the year 2022 2,3 . Perennial grasses have shown to support carbon (C) and nitrogen (N) sequestration in the soil 4-6 , contributing to mitigate climate change and environmental degradation 7-9 . Brachypodium sylvaticum is a perennial grass with a simple genome, self-fertility, a short life cycle, and low growth requirements. Its recently released genome, expression gene atlas 10 and well established genetic transformation have made it an efficient model to study the genetic, molecular, and physiological components of perennial grasses 11,12 .Unfavorable winter conditions, including freezing, limit the geographical range of many important crops and reduce their productivity due to growth repression 13,14 . Low temperatures combined with high light intensity provoke the inhibition of the photosystem II and ROS production leading to oxidative stress 15 . In addition, ice formation in the apoplast induces both, cell membrane integrity stress and osmotic stress 16 . The plant's response to low temperatures involves extensive reprograming of gene expression via transcription factors 17 , resulting in co...

show abstract

Section: Discussionsupporting

confidence: 59%

Correlation-based network analysis combined with machine learning techniques highlight the role of the GABA shunt in Brachypodium sylvaticum freezing tolerance

Toubiana

Sade

Liu

et al. 2020

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Agricultural productivity is threatened by various biotic and abiotic stress factors which seriously impact the global food security. Abiotic stresses are major environmental problems which negatively influence the plant growth and development and ultimately cause reduction in agricultural production worldwide (Rodziewicz et al 2014, Dresselhaus andHückelhoven 2018). Various abiotic factors, such as salinity, drought, heavy metals, high light, and extremes of temperature, result in a range of adverse effects in plants and lead to the overproduction of reactive oxygen species (ROS), which are highly reactive, resulting in oxidative stress.…”

Section: Introductionmentioning

confidence: 99%

Special issue in honour of Prof. Reto J. Strasser - Chlorophyll a fluorescence parameters as indicators of a particular abiotic stress in rice

Faseela¹,

Sinisha²,

Brestič³

et al. 2020

Photosynt.

119

View full text Add to dashboard Cite

The aim of this study was to evaluate the validity of some chlorophyll (Chl) a fluorescence parameters as early indicators of a particular abiotic stress and also to characterize the effect of different abiotic stresses [high light, NaCl, polyethylene glycol (PEG)-induced osmotic stress, and heavy metals] on the electron transport chain of rice (Oryza sativa L.) seedlings. The results clearly revealed that Chl a fluorescence parameters differ between abiotic stress types and also allowed us to select some parameters which were specifically and intensively affected under different abiotic stresses. We observed that the performance index is a common sensitive parameter to evaluate the effect of above four different abiotic stresses in rice seedlings. Certain Chl a fluorescence parameters were significant for a specific stress. The ratio between the rate constants of photochemical and nonphotochemical deactivation of excited Chl molecules (FV/F0) was prominently decreasing and the maximum quantum yield of nonphotochemical deexcitation was prominently increasing upon exposure to high light stress. The maximum quantum yield of electron transport and the electron transport from PSII donor side to PSII reaction center was highly reduced under NaCl stress in rice seedlings. Moreover, FV/F0 and PSII structure function index were prominently decreasing and the dissipation per cross section was significantly enhancing under PEG stress. The pool size of reduced plastoquinone on the reducing side of PSII [total complementary area between the fluorescence induction curve and maximal chlorophyll fluorescence (FM)], FM, and the probability by which electrons move from PSII to PSI acceptor side were significantly decreasing under heavy metal stress.Additional key words: JIP-test; photosynthesis; plant efficiency analyzer. Abbreviations: 1 -VI -the efficiency/probability with which a PSII trapped electron is transferred to PSI acceptor side; ABS/CS0absorption flux per cross section at t = 0; Area -total complementary area between the fluorescence induction curve and FM; DI0/CS0dissipated energy flux per cross section at t = 0; ET0/CS0 -electron transport flux per cross section at t = 0; FM -maximal chlorophyll fluorescence; F0 -minimal fluorescence; FV -variable fluorescence; FV/F0 -the ratio between the rate constants of photochemical and nonphotochemical deactivation of excited Chl molecules; FV/FM -maximum quantum efficiency of PSII under dark adaptation; PI(abs) -performance index; RC/ABS -fraction of active PSII reaction centers; SFI(abs) -PSII structure-function-index; Tf(max) -time to reach maximal fluorescence; TR0/CS0 -trapped energy flux per cross section at t = 0; VI -the relative variable fluorescence at I-step; VJ -the relative variable fluorescence at J-step; VK/VJ -the ratio of variable fluorescence in time 0.3 ms to variable fluorescence in time 2 ms as an indicator of the PSII donor side limitation; ΦD0 -maximum quantum yield of nonphotochemical deexcitation; ΦE0 -the electron transport quantum yield. Acknowledgem...

show abstract

“…High salinity lowers agricultural productivity. Thus, it is necessary to improve wheat germplasm, by introducing new genes or alleles from the rich allelic repertoire found in landraces and some cultivated wheat varieties, to enable higher tolerance for salt-stress [7,8]. Salinity tolerance is a complicated trait, as plants use different mechanisms for handling salt-stress, which can be highly influenced by environmental factors, so it is difficult to select it for breeding programs [9].…”

mentioning

confidence: 99%

Detecting Salt Tolerance in Doubled Haploid Wheat Lines

et al. 2019

View full text Add to dashboard Cite

Improving salt tolerance of genotypes requires a source of genetic variation and multiple accurate selection criteria for discriminating their salt tolerance. A combination of morpho-physiological and biochemical parameters and multivariate analysis was used to detect salt tolerance variation in 15 wheat lines developed by doubled haploid (DHL) technique. They were then compared with the salt-tolerant check cultivar Sakha 93. Salinity stress was investigated at three salinity levels (0, 100, and 200 mM NaCl) for 25 days. Considerable genetic variation was observed for all traits, as was high heritability (>60%) and genetic gain (>20%). Principal component analysis indicated the ability of nine traits (root number, root length, root dry weight, shoot length, shoot dry weight, specific root length, relative water content, membrane stability index, and catalase) to identify differences in salinity tolerance among lines. Three traits (shoot length, shoot dry weight, and catalase) were indicative of salt-tolerance, indicating their importance in improving and evaluating salt tolerant genotypes for breeding programs. The salinity tolerance membership index based on these three traits classified one new line (DHL21) and the check cultivar (Sakha 93) as highly salt-tolerant, DHL25, DHL26, DHL2, DHL11, and DHL5 as tolerant, and DHL23 and DHL12 as intermediate. Discriminant function analysis and MANOVA suggested differences among the five groups of tolerance. Among the donor genotypes, Sakha 93 remained the donor of choice for improving salinity tolerance during the seedling stage. The tolerated lines (DHL21, DHL25, DHL26, DHL2, DHL11, and DHL5) could be also recommended as useful and novel genetic resources for improving salinity tolerance of wheat in breeding programs.

show abstract

Biotic and Abiotic Stress Responses in Crop Plants

Cited by 156 publications

References 18 publications

Correlation-based network analysis combined with machine learning techniques highlight the role of the GABA shunt in Brachypodium sylvaticum freezing tolerance

Correlation-based network analysis combined with machine learning techniques highlight the role of the GABA shunt in Brachypodium sylvaticum freezing tolerance

Special issue in honour of Prof. Reto J. Strasser - Chlorophyll a fluorescence parameters as indicators of a particular abiotic stress in rice

Detecting Salt Tolerance in Doubled Haploid Wheat Lines

Contact Info

Product

Resources

About