Glucosinolate Distribution in the Aerial Parts of sel1-10, a Disruption Mutant of the Sulfate Transporter SULTR1;2, in Mature Arabidopsis thaliana Plants

Morikawa-Ichinose, Tomomi; Kim, Sun-Ju; Allahham, Alaa; Kawaguchi, Ryota; Maruyama‐Nakashita, Akiko

doi:10.3390/plants8040095

Cited by 15 publications

(12 citation statements)

References 34 publications

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“…Although the effects of S deficiency on S metabolism have been well investigated in seedlings, no studies have been performed on mature A. thaliana plants. Morikawa-Ichinose et al (2019) [4] analyzed the accumulation and distribution of S-containing compounds in different parts of mature sel1-10, as well as wildtype (WT) plants grown under long-day conditions. While the levels of sulfate, cysteine, and glutathione were almost similar between sel1-10 and WT, levels of glucosinolates (GSLs) differed depending on plant part.…”

Section: New Insights Into the Effect Of Sulfur Availability On Plantmentioning

confidence: 99%

Advances in Plant Sulfur Research

Bouranis

Malagoli

Avice

et al. 2020

Plants

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As an essential nutrient required for plant growth and development, sulfur (S) deficiency in productive systems limits yield and quality. This special issue hosts a collection of original research articles, mainly based on contributions from the 11th International Plant Sulfur Workshop held on 16–20 September 2018 in Conegliano, Italy, focusing on the following topics: (1) The germinative and post-germinative behaviour of Brassica napus seeds when severe S limitation is applied to the parent plants; (2) the independence of S deficiency from the mRNA degradation initiation enzyme PARN in Arabidopsis; (3) the glucosinolate distribution in the aerial parts of sel1-10, a disruption mutant of the sulfate transporter SULTR1;2, in mature Arabidopsis thaliana plants; (4) the accumulation of S-methylcysteine as its γ-glutamyl dipeptide in Phaseolus vulgaris; and (5) the role of ferric iron chelation-strategy components in the leaves and roots of maize, have provided new insights into the effect of S availability on plant functionality. Moreover, the role of S deficiency in root system functionality has been highlighted, focusing on (6) the contribution of root hair development to sulfate uptake in Arabidopsis, and (7) the modulation of lateral root development by the CLE-CLAVATA1 signaling pathway under S deficiency. The role of S in plants grown under drought conditions has been investigated in more detail focusing (8) on the relationship between S-induced stomata closure and the canonical ABA signal transduction machinery. Furthermore, (9) the assessment of S deficiency under field conditions by single measurements of sulfur, chloride, and phosphorus in mature leaves, (10) the effect of fertilizers enriched with elemental S on durum wheat yield, and (11,12) the impact of elemental S on the rhizospheric bacteria of durum wheat contributed to enhance the scientific knowledge on S nutrition under field conditions.

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Section: New Insights Into the Effect Of Sulfur Availability On Plantmentioning

confidence: 99%

Advances in Plant Sulfur Research

Bouranis

Malagoli

Avice

et al. 2020

Plants

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“…AST68, known as sulphate transporter 2;1, is located in the plasma membrane, similar to SULTR1;1 and SULTR1;2. These two TPs are involved in the GSL sulphur-assimilation process that transports sulphate to the Arabidopsis roots [ 39 , 40 ]. The gene expression of SULTR1;1 and SULTR1;2 is significantly increased in Arabidopsis sdi1sdi -knockout lines.…”

Section: Discussionmentioning

confidence: 99%

“…The sulphur uptake in GSL-containing plants suggests a significant role for sulphur in GSL biosynthesis. Metabolomic and transcriptomic studies by Koprivova and Kopriva [ 39 ] and Morikawa-Ichinose et al [ 40 ] found that GSL accumulation was significantly reduced in a sulphur-deficient environment, suggesting a role for sulphur in GSL biosynthesis [ 41 , 42 , 43 ]. SULTR1;1 and SULTR1;2 are sulphate transporters found in Arabidopsis roots, and their expression is increased during sulphur limitation [ 44 ].…”

Section: Introductionmentioning

confidence: 99%

Identification of Potential Genes Encoding Protein Transporters in Arabidopsis thaliana Glucosinolate (GSL) Metabolism

Harun

Afiqah‐Aleng

Hadi

et al. 2022

Life

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Several species in Brassicaceae produce glucosinolates (GSLs) to protect themselves against pests. As demonstrated in A. thaliana, the reallocation of defence compounds, of which GSLs are a major part, is highly dependent on transport processes and serves to protect high-value tissues such as reproductive tissues. This study aimed to identify potential GSL-transporter proteins (TPs) using a network-biology approach. The known A. thaliana GSL genes were retrieved from the literature and pathway databases and searched against several co-expression databases to generate a gene network consisting of 1267 nodes and 14,308 edges. In addition, 1151 co-expressed genes were annotated, integrated, and visualised using relevant bioinformatic tools. Based on three criteria, 21 potential GSL genes encoding TPs were selected. The AST68 and ABCG40 potential GSL TPs were chosen for further investigation because their subcellular localisation is similar to that of known GSL TPs (SULTR1;1 and SULTR1;2) and ABCG36, respectively. However, AST68 was selected for a molecular-docking analysis using AutoDOCK Vina and AutoDOCK 4.2 with the generated 3D model, showing that both domains were well superimposed on the homologs. Both molecular-docking tools calculated good binding-energy values between the sulphate ion and Ser419 and Val172, with the formation of hydrogen bonds and van der Waals interactions, respectively, suggesting that AST68 was one of the sulphate transporters involved in GSL biosynthesis. This finding illustrates the ability to use computational analysis on gene co-expression data to screen and characterise plant TPs on a large scale to comprehensively elucidate GSL metabolism in A. thaliana. Most importantly, newly identified potential GSL transporters can serve as molecular tools in improving the nutritional value of crops.

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“…Several metabolomic and transcriptomic studies reported a significant reduction in GSL accumulation under sulfur deficiency environment, suggesting the role of sulfur in GSL biosynthesis ( Nikiforova et al, 2003 ; Hirai et al, 2003 ; Aarabi et al, 2016 ). SULTR1; 1 and SULTR1; 2 in Arabidopsis roots play a role as sulfate transporters and their expression was increased in sulfur-limitation Arabidopsis ( Koprivova & Kopriva, 2014 ; Morikawa-Ichinose et al, 2019 ). The molecular components involving sulfate and GSL transport machinery is more complex in Brassica crops, and requires an in-depth understanding on the GSL mechanism.…”

Section: Discussionmentioning

confidence: 99%

Potential Arabidopsis thaliana glucosinolate genes identified from the co-expression modules using graph clustering approach

Harun

Afiqah‐Aleng

Karim

et al. 2021

PeerJ

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Background Glucosinolates (GSLs) are plant secondary metabolites that contain nitrogen-containing compounds. They are important in the plant defense system and known to provide protection against cancer in humans. Currently, increasing the amount of data generated from various omics technologies serves as a hotspot for new gene discovery. However, sometimes sequence similarity searching approach is not sufficiently effective to find these genes; hence, we adapted a network clustering approach to search for potential GSLs genes from the Arabidopsis thaliana co-expression dataset. Methods We used known GSL genes to construct a comprehensive GSL co-expression network. This network was analyzed with the DPClusOST algorithm using a density of 0.5. 0.6. 0.7, 0.8, and 0.9. Generating clusters were evaluated using Fisher’s exact test to identify GSL gene co-expression clusters. A significance score (SScore) was calculated for each gene based on the generated p-value of Fisher’s exact test. SScore was used to perform a receiver operating characteristic (ROC) study to classify possible GSL genes using the ROCR package. ROCR was used in determining the AUC that measured the suitable density value of the cluster for further analysis. Finally, pathway enrichment analysis was conducted using ClueGO to identify significant pathways associated with the GSL clusters. Results The density value of 0.8 showed the highest area under the curve (AUC) leading to the selection of thirteen potential GSL genes from the top six significant clusters that include IMDH3, MVP1, T19K24.17, MRSA2, SIR, ASP4, MTO1, At1g21440, HMT3, At3g47420, PS1, SAL1, and At3g14220. A total of Four potential genes (MTO1, SIR, SAL1, and IMDH3) were identified from the pathway enrichment analysis on the significant clusters. These genes are directly related to GSL-associated pathways such as sulfur metabolism and valine, leucine, and isoleucine biosynthesis. This approach demonstrates the ability of the network clustering approach in identifying potential GSL genes which cannot be found from the standard similarity search.

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Glucosinolate Distribution in the Aerial Parts of sel1-10, a Disruption Mutant of the Sulfate Transporter SULTR1;2, in Mature Arabidopsis thaliana Plants

Cited by 15 publications

References 34 publications

Advances in Plant Sulfur Research

Advances in Plant Sulfur Research

Identification of Potential Genes Encoding Protein Transporters in Arabidopsis thaliana Glucosinolate (GSL) Metabolism

Potential Arabidopsis thaliana glucosinolate genes identified from the co-expression modules using graph clustering approach

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