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11.
  • Abd El-Daim, Islam Ahmed Moustafa, et al. (författare)
  • Impact of bacterial priming on some stress tolerance mechanisms and growth of cold stressed wheat seedlings
  • 2013
  • Ingår i: International Journal of Plant Biology. - : MDPI AG. - 2037-0156 .- 2037-0164. ; 4, s. 29-33
  • Tidskriftsartikel (refereegranskat)abstract
    • The potential to enhance growth of cold stressed wheat by seed treatment (priming) with the beneficial bacteria Bacillus amyloliquefaciens 5113 and Azospirillum brasilense NO40 were tested. Results showed an improved ability of bacteria-treated seedlings to survive at −5°C up to 12 h. Cold stress increased transcript levels of three stress marker genes and increased activity for the ascorbate-glutathione redox enzymes. However, primed and stressed seedlings generally showed smaller effects on the stress markers correlating with better growth and improved stress tolerance. Bacterial priming to improve crop plant performance at low temperature seems a useful strategy to explore further.
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12.
  • Abd El-Daim, Islam Ahmed Moustafa, et al. (författare)
  • Improved heat stress tolerance of wheat seedlings by bacterial seed treatment
  • 2014
  • Ingår i: Plant and Soil. - : Springer Science and Business Media LLC. - 0032-079X .- 1573-5036. ; 379, s. 337-350
  • Tidskriftsartikel (refereegranskat)abstract
    • Aim: To investigate if rhizosphere bacteria can improve heat tolerance of wheat. MethodsWheat (Triticum aestivum) seeds of the cultivars Olivin and Sids1 were treated with Bacillus amyloliquefaciens UCMB5113 or Azospirillum brasilense NO40 and young seedlings tested for management of short term heat stress. ResultsBacterial treatment improved heat stress management of wheat. Olivin showed higher heat tolerance than Sids1 both with non-inoculated and inoculated seeds. Heat increased transcript levels of several stress related genes in the leaves, while expression was lower in inoculated plants but elevated compared with the control. Enzymes of the ascorbate-glutathione redox cycle were activated in leaves after heat challenge but showed a lower response in inoculated plants. Metabolite profiling distinguished different treatments dependent on analysis technique with respect to primary and secondary metabolites. Analysis of some plant stress regulatory genes showed that bacterial treatment increased transcript levels while effects of heat treatment varied. Conclusions: The improvement of heat tolerance by bacteria seems associated with reduced generation of reactive oxygen species (and consequently less cell damage), small changes in the metabolome while preactivation of certain heat shock transcription factors seems important. Seed inoculation with beneficial bacteria seems a promising strategy to improve heat tolerance of wheat.
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13.
  • Abd El-Daim, Islam Ahmed Moustafa, et al. (författare)
  • Paenibacillus polymyxa A26 Sfp-type PPTase inactivation limits bacterial antagonism against Fusarium graminearum but not of F. culmorum in kernel assay
  • 2015
  • Ingår i: Frontiers in Plant Science. - : Frontiers Media SA. - 1664-462X. ; 6
  • Tidskriftsartikel (refereegranskat)abstract
    • Fusarium graminearum and F. culmorum are the causing agents of a destructive disease known as Fusarium head blight (FHB). FHB is a re-emerging disease in small grain cereals which impairs both the grain yield and the quality. Most serious consequence is the contamination of grain with Fusarium mycotoxins that are severe threat to humans and animals. Biological control has been suggested as one of the integrated management strategies to control FHB. Paenibacillus polymyxa is considered as a promising biocontrol agent due to its unique antibiotic spectrum. P. polymyxa A26 is an efficient antagonistic agent against Fusarium spp. In order to optimize strain A26 production, formulation and application strategies traits important for its compatibility need to be revealed. Here we developed a toolbox, comprising of dual culture plate assays and wheat kernel assays, including simultaneous monitoring of FHB causing pathogens, A26, and mycotoxin production. Using this system we show that, besides generally known lipopeptide antibiotic production by P. polymyxa, biofilm formation ability may play a crucial role in the case of stain A26 F. culmorum antagonism. Application of the system for effective strain selection and maintenance is discussed.
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14.
  • Abd El-Daim, Islam Ahmed Moustafa (författare)
  • Use of rhizobacteria for the alleviation of plant stress
  • 2015
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • Plant growth promoting rhizobacteria are beneficial microbes able to induce plant stress tolerance and antagonise plant pathogens. The present study showed that wheat seedlings pre-treated with Bacillus thuringiensis AZP2 had better tolerance to severe drought stress and showed 78% greater plant biomass and five-fold higher survivorship compared to wheat seedlings not treated with the bacterium. The effect of B. thuringiensis AZP2 also resulted in improved net assimilation and reduced emission of stress volatiles. The study investigated the effect of the inactivation of sfp-type phosphopantetheinyl transferase in plant growth promoting bacterium Paenibacillus polymyxa A26. The inactivation of the sfp gene resulted in loss of NRP/PK production such fusaricidins and polymyxins. In contrast to the former Bacillus spp. model the mutant strain compared to wild type showed greatly enhanced biofilm formation ability. Its biofilm promotion is directly mediated by NRP/PK, as exogenous addition of the wild type metabolite extracts restores its biofilm formation level. Further, increased biofilm formation was connected with enhanced ability of the sfp inactivated strain to remarkably protect wheat seedlings by improving its survival and biomass under severe drought stress conditions compared to wild type. Fusarium graminearum and F. culmorum are the causing agents of a destructive disease known as Fusarium head blight (FHB). The disease is the leading cause of contamination of grain with Fusarium mycotoxins that are severe threat to humans and animals. Biological control has been suggested as one of the integrated management strategies to control FHB causing agents. The present study showed that P. polymyxa A26 is a potent antagonistic agent against F. graminearum and F. culmorum. In order to optimize strain A26 production, formulation and application strategies traits important for its compatibility need to be revealed. Hence, a toolbox comprising of dual culture plate assays and wheat kernel assays including simultaneous monitoring of the FHB causing pathogens, A26 and mycotoxins produced was developed in the present study. Using this system results showed that, besides the involvement of lipopeptide antibiotic production by P. polymyxa in the antagonism process, biofilm formation ability may play a crucial role in the case of A26 F. culmorum antagonism.
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15.
  • Abdalla, M., et al. (författare)
  • Simulation of CO2 and Attribution Analysis at Six European Peatland Sites Using the ECOSSE Model
  • 2014
  • Ingår i: Water, Air and Soil Pollution. - : Springer Science and Business Media LLC. - 1573-2932 .- 0049-6979. ; 225:11, s. 2182-2182
  • Tidskriftsartikel (refereegranskat)abstract
    • In this study, we simulated heterotrophic CO2 (Rh) fluxes at six European peatland sites using the ECOSSE model and compared them to estimates of Rh made from eddy covariance (EC) measurements. The sites are spread over four countries with different climates, vegetation and management. Annual Rh from the different sites ranged from 110 to 540 g C m(-2). The maximum annual Rh occurred when the water table (WT) level was between -10 and -25 cm and the air temperature was above 6.2 degrees C. The model successfully simulated seasonal trends for the majority of the sites. Regression relationships (r(2)) between the EC-derived and simulated Rh ranged from 0.28 to 0.76, and the root mean square error and relative error were small, revealing an acceptable fit. The overall relative deviation value between annual EC-derived and simulated Rh was small (-1 %) and model efficiency ranges across sites from -0.25 to +0.41. Sensitivity analysis highlighted that increasing temperature, decreasing precipitation and lowering WT depth could significantly increase Rh from soils. Thus, management which lowers the WT could significantly increase anthropogenic CO2, so from a carbon emissions perspective, it should be avoided. The results presented here demonstrate a robust basis for further application of the ECOSSE model to assess the impacts of future land management interventions on peatland carbon emissions and to help guide best practice land management decisions.
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16.
  • Abdellah, Tebani, et al. (författare)
  • Integration of molecular profiles in a longitudinal wellness profiling cohort.
  • 2020
  • Ingår i: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 11:1
  • Tidskriftsartikel (refereegranskat)abstract
    • An important aspect of precision medicine is to probe the stability in molecular profiles among healthy individuals over time. Here, we sample a longitudinal wellness cohort with 100 healthy individuals and analyze blood molecular profiles including proteomics, transcriptomics, lipidomics, metabolomics, autoantibodies and immune cell profiling, complemented with gut microbiota composition and routine clinical chemistry. Overall, our results show high variation between individuals across different molecular readouts, while the intra-individual baseline variation is low. The analyses show that each individual has a unique and stable plasma protein profile throughout the study period and that many individuals also show distinct profiles with regards to the other omics datasets, with strong underlying connections between the blood proteome and the clinical chemistry parameters. In conclusion, the results support an individual-based definition of health and show that comprehensive omics profiling in a longitudinal manner is a path forward for precision medicine.
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17.
  • Abdollahi, Mehdi, 1985, et al. (författare)
  • Tuning the pH-shift protein-isolation method for maximum hemoglobin-removal from blood rich fish muscle
  • 2016
  • Ingår i: Food Chemistry. - : Elsevier BV. - 0308-8146 .- 1873-7072. ; 212, s. 213-224
  • Tidskriftsartikel (refereegranskat)abstract
    • A main challenge preventing optimal use of protein isolated from unconventional raw materials (e.g., small pelagic fish and fish by-products) using the pH-shift method is the difficulty to remove enough heme-pigments. Here, the distribution of hemoglobin (Hb) in the different fractions formed during pH-shift processing was studied using Hb-fortified cod mince. Process modifications, additives and prewashing were then investigated to further facilitate Hb-removal. The alkaline pH-shift process version could remove considerably more Hb (77%) compared to the acidic version (37%) when proteins were precipitated at pH 5.5; most Hb was removed during dewatering. Protein precipitation at pH 6.5 improved total Hb removal up to 91% and 74% during alkaline and acid processing, respectively. Adding phytic acid to the first supernatant of the alkaline process version yielded 93% Hb removal. Combining one prewash with phytic acid at pH 5.5 followed by alkaline/acid pH-shift processing increased Hb removal up to 96/92%.
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18.
  • Abebe, Admas Alemu, et al. (författare)
  • Genome-Wide Association Analysis and Genomic Prediction for Adult-Plant Resistance to Septoria Tritici Blotch and Powdery Mildew in Winter Wheat
  • 2021
  • Ingår i: Frontiers in Genetics. - : Frontiers Media SA. - 1664-8021. ; 12
  • Tidskriftsartikel (refereegranskat)abstract
    • Septoria tritici blotch (STB) caused by the fungal pathogen Zymoseptoria tritici and powdery mildew (PM) caused by Blumeria graminis f.sp tritici (Bgt) are among the forefront foliar diseases of wheat that lead to a significant loss of grain yield and quality. Resistance breeding aimed at developing varieties with inherent resistance to STB and PM diseases has been the most sustainable and environment-friendly approach. In this study, 175 winter wheat landraces and historical cultivars originated from the Nordic region were evaluated for adult-plant resistance (APR) to STB and PM in Denmark, Estonia, Lithuania, and Sweden. Genome-wide association study (GWAS) and genomic prediction (GP) were performed based on the adult-plant response to STB and PM in field conditions using 7,401 single-nucleotide polymorphism (SNP) markers generated by 20K SNP chip. Genotype-by-environment interaction was significant for both disease scores. GWAS detected stable and environment-specific quantitative trait locis (QTLs) on chromosomes 1A, 1B, 1D, 2B, 3B, 4A, 5A, 6A, and 6B for STB and 2A, 2D, 3A, 4B, 5A, 6B, 7A, and 7B for PM adult-plant disease resistance. GP accuracy was improved when assisted with QTL from GWAS as a fixed effect. The GWAS-assisted GP accuracy ranged within 0.53-0.75 and 0.36-0.83 for STB and PM, respectively, across the tested environments. This study highlights that landraces and historical cultivars are a valuable source of APR to STB and PM. Such germplasm could be used to identify and introgress novel resistance genes to modern breeding lines.
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19.
  • Abebe, Admas Alemu (författare)
  • Genome-wide association study for yield-related traits in sesame (Sesamum Indicum)
  • 2022
  • Ingår i: Plant Breeding. - : Wiley. - 0179-9541 .- 1439-0523. ; 141, s. 246-256
  • Tidskriftsartikel (refereegranskat)abstract
    • Sesame is an important oil crop in Ethiopia and other regions in terms of both area coverage and production. However, productivity is low due to biotic and abiotic stresses. Therefore, dissecting the genetic basis of quantitatively inherited yield-related traits is instrumental to developing stable and high-yielding varieties. A genome-wide association study (GWAS) was performed with a diverse set of 300 sesame accessions tested in two environments and 2997 SNP markers. In total, 21 significant marker-trait associations (MTAs) were detected for seven yield-related traits, including days to flower initiation (DFI), days to 50% flowering (DF), days to physiological maturity (DM), capsule length (CAPL), seeds per capsule (SPC), 1000-seed weight (TSW) and bacterial blight (BBL). The majority of MTAs detected on LG 3, 7 and 8 were associated with traits related to physiological periods. Dissecting genetic control of flowering time and maturity has a pivotal contribution to fostering sesame breeding and developing new varieties adaptable to changing climatic conditions. Our GWAS results will assist in incorporating alleles into the elite sesame germplasm through marker-assisted selection.
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20.
  • Abebe, Admas Alemu, et al. (författare)
  • Genomic selection in plant breeding: key factors shaping two decades of progress
  • 2024
  • Ingår i: Molecular Plant. - 1674-2052 .- 1752-9867. ; 17, s. 552-578
  • Forskningsöversikt (refereegranskat)abstract
    • Genomic selection, the application of genomic prediction (GP) models to select candidate individuals, has significantly advanced in the past two decades, effectively accelerating genetic gains in plant breeding. This article provides a holistic overview of key factors that have influenced GP in plant breeding during this period. We delved into the pivotal roles of training population size and genetic diversity, and their relationship with the breeding population, in determining GP accuracy. Special emphasis was placed on optimizing training population size. We explored its benefits and the associated diminishing returns beyond an optimum size. This was done while considering the balance between resource allocation and maximizing prediction accuracy through current optimization algorithms. The density and distribution of single-nucleotide polymorphisms, level of linkage disequilibrium, genetic complexity, trait heritability, statistical machine-learning methods, and non-additive effects are the other vital factors. Using wheat, maize, and potato as examples, we summarize the effect of these factors on the accuracy of GP for various traits. The search for high accuracy in GP—theoretically reaching one when using the Pearson’s correlation as a metric—is an active research area as yet far from optimal for various traits. We hypothesize that with ultra-high sizes of genotypic and phenotypic datasets, effective training population optimization methods and support from other omics approaches (transcriptomics, metabolomics and proteomics) coupled with deep-learning algorithms could overcome the boundaries of current limitations to achieve the highest possible prediction accuracy, making genomic selection an effective tool in plant breeding.
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