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Soil pH is a major constraint to crop plant growth and production. Limited data are available on sugar beet growth status under different pH conditions. In this study, we analyzed the growth status and phenotype of sugar beet under pH 5, pH 7.5, and pH 9.5. It was found that the growth of sugar beet was best at pH 9.5 and worst at pH 5. The activities of superoxide dismutase (SOD) and peroxidase (POD) in leaves and roots increased as pH decreased from 9.5 to 5. Moreover, compared with pH 9.5, the levels of soluble sugar and proline in leaves increased significantly at pH 5. To explore the mechanisms of sugar beet response to different soil pH environments, we hypothesized that proteins play an important role in plant response to acidic and alkaline pH environment. Thus, the proteome changes in sugar beet modulated by pH treatment were accessed by TMT-based quantitative proteomic analysis. A total of three groups of differentially expressed proteins (DEPs) (pH 5 vs. pH 7.5, pH 9.5 vs. pH7.5 and pH 5 vs. pH 9.5) were identified in the leaves and roots of sugar beet. Several key proteins related to the difference of sugar beet response to acid (pH 5) and alkaline (pH 9.5) and involved in response to acid stress were detected and discussed. Moreover, based on proteomics results, QRT-PCR analysis confirmed that expression levels of three N transporters (, , and ) in roots were relatively high under alkaline conditions (pH 9.5) compared with pH 5 or pH 7.5. The total nitrogen content of pH 9.5 in sugar beet was significantly higher than that of pH 7.5 and pH 5. These studies increase our understanding of the molecular mechanism of sugar beet response to different pH environments.
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http://dx.doi.org/10.3389/fpls.2021.682799 | DOI Listing |
BMC Genomics
December 2024
Department of Agricultural Biology, Colorado State University, Fort Collins, CO, 80523, USA.
Background: Sugar beets (Beta vulgaris L.) are grown worldwide and suffer economic loss annually due to curly top disease caused by the beet curly top virus (BCTV). The virus is spread by the beet leafhopper (BLH), Circulifer tenellus Baker.
View Article and Find Full Text PDFExp Parasitol
December 2024
Department of Botany, Aligarh Muslim University, Aligarh-202002, INDIA. Electronic address:
Effect of Meloidogyne incognita and Pseudomonas syringae pv. aptata (Psa) was observed singly, together and pre and post inoculations in 4 soil types on plant growth, parameters, chlorophyll, carotenoid and proline contents of beetroot (Beta vulgaris L). Plant growth, chlorophyll and carotenoid contents were greater in loam soil followed by 20% fly ash soil, 10% fly ash plus 10% sand amended soil and least in 20 % sand mix soil.
View Article and Find Full Text PDFPlant Methods
December 2024
Institute of Sugar Beet Research, Göttingen, Niedersachsen, 37079, Germany.
Background: This research proposes an easy to apply quality assurance pipeline for hyperspectral imaging (HSI) systems used for plant phenotyping. Furthermore, a concept for the analysis of quality assured hyperspectral images to investigate plant disease progress is proposed. The quality assurance was applied to a handheld line scanning HSI-system consisting of evaluating spatial and spectral quality parameters as well as the integrated illumination.
View Article and Find Full Text PDFBMC Plant Biol
December 2024
Department of Plant Protection Biology, Swedish University of Agricultural Sciences, P.O. Box 190, Lomma, SE-234 22, Sweden.
Background: Aphanomyces root rot is one of the most severe diseases in sugar beet (Beta vulgaris L.), resulting in drastic losses in sugar yield and plant degeneration. The causal agent is the soil-borne pathogen Aphanomyces cochlioides, a phytopathogenic oomycete able to infect sugar beet roots from the seedling stage until harvest.
View Article and Find Full Text PDFInt J Mol Sci
November 2024
Northwest Irrigation and Soils Research Laboratory (NWISRL), United States Department of Agriculture (USDA)-Agricultural Research Service (ARS), Kimberly, ID 83341, USA.
Post-harvest storage loss in sugar beets due to root rot and respiration can cause >20% sugar loss. Breeding strategies focused on factors contributing to improved post-harvest storage quality are of great importance to prevent losses. Using 16S rRNA and ITS sequencing and sugar beet mutational breeding lines with high disease resistance (R), along with a susceptible (S) commercial cultivar, the role of root microbiome and metabolome in storage performance was investigated.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!