Displaying publications 1 - 20 of 60 in total

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  1. Fulltext RNA-seq analysis of mangosteen (Garcinia mangostana L.) fruit ripening
    Abdul-Rahman A, Goh HH, Loke KK, Noor NM, Aizat WM
    Genom Data, 2017 Jun;12:159-160.
    PMID: 28560167 DOI: 10.1016/j.gdata.2017.05.013
    Mangosteen (Garcinia mangostana L.) is known for its delectable taste and contains high amount of xanthones which have been reported to possess anti-cancer, anti-inflammatory and other bioactive properties. However, stage-specific regulation of mangosteen fruit ripening has never been studied in detail. We have performed a comparative transcriptomic analysis of three ripening stages (Stage 0, 2 and 6) of mangosteen. We have obtained a raw data from six libraries through Illumina HiSeq 4000. A total of ~ 40 Gb of raw data were generated. Clean reads of 650,887,650 (bp) were obtained from 656,913,570 (bp) raw reads. The raw transcriptome data were deposited to SRA database, with the BioProject accession number of PRJNA339916. These data will be beneficial for transcriptome profiling in order to study the regulation of mangosteen fruit ripening. The lack of a complete sequence database from this species impedes protein identification. These data sets provide a reference data for the exploration of novel genes or proteins to understand mangosteen fruit ripening behaviour.
  2. Fulltext DNA-seq analysis of Garcinia mangostana
    Abu Bakar S, Sampathrajan S, Loke KK, Goh HH, Mohd Noor N
    Genom Data, 2016 Mar;7:62-3.
    PMID: 26981362 DOI: 10.1016/j.gdata.2015.11.018
    Mangosteen (Garcinia mangostana Linn.) is a tropical tree mainly found in South East Asia and considered as "the queen of fruits". The asexually produced fruit is dark purple or reddish in color, with white flesh which is slightly acidic with sweet flavor and a pleasant aroma. The purple pericarp tissue is rich in xanthones which are useful for medical purposes. We performed the first genome sequencing of this commercially important fruit tree to study its genome composition and attempted draft genome assembly. Raw reads of the DNA sequencing project have been deposited to SRA database with the accession number SRX1426419.
  3. Fulltext DNA shotgun sequencing analysis of Garcinia mangostana L. variety Mesta
    Abu Bakar S, Kumar S, Loke KK, Goh HH, Mohd Noor N
    Genom Data, 2017 Jun;12:118-119.
    PMID: 28516035 DOI: 10.1016/j.gdata.2017.05.001
    Mangosteen (Garcinia mangostana Linn.) is an ultra-tropical tree characterized by its unique dark purple fruits with white flesh. The xanthone-rich purple pericarp tissue contains valuable compounds with medicinal properties. Following previously reported genome sequencing of a common variety of mangosteen [1], we performed another whole genome sequencing of a commercially popular variety of this fruit species (var. Mesta) for comparative analysis of its genome composition. Raw reads of the DNA sequencing project were deposited to SRA database with the accession number SRX2709728.
  4. Fulltext Proteomics (SWATH-MS) informed by transcriptomics approach of tropical herb Persicaria minor leaves upon methyl jasmonate elicitation
    Aizat WM, Ibrahim S, Rahnamaie-Tajadod R, Loke KK, Goh HH, Noor NM
    PeerJ, 2018;6:e5525.
    PMID: 30186693 DOI: 10.7717/peerj.5525
    BACKGROUND: Jasmonic acid (JA) and its derivative, methyl JA (MeJA) are hormonal cues released by plants that signal defense response to curb damages from biotic and abiotic stresses. To study such response, a tropical herbal plant, Persicaria minor, which possesses pungent smell and various bioactivities including antimicrobial and anticancer, was treated with MeJA. Such elicitation has been performed in hairy root cultures and plants such as Arabidopsis and rice, yet how MeJA influenced the proteome of an herbal species like P. minor is unknown.

    METHOD: In this study, P. minor plants were exogenously elicited with MeJA and leaf samples were subjected to SWATH-MS proteomics analysis. A previously published translated transcriptome database was used as a reference proteome database for a comprehensive protein sequence catalogue and to compare their differential expression.

    RESULTS: From this proteomics informed by transcriptomics approach, we have successfully profiled 751 proteins of which 40 proteins were significantly different between control and MeJA-treated samples. Furthermore, a correlation analysis between both proteome and the transcriptome data sets suggests that significantly upregulated proteins were positively correlated with their cognate transcripts (Pearson's r = 0.677) while a weak correlation was observed for downregulated proteins (r = 0.147).

    DISCUSSION: MeJA treatment induced the upregulation of proteins involved in various biochemical pathways including stress response mechanism, lipid metabolism, secondary metabolite production, DNA degradation and cell wall degradation. Conversely, proteins involved in energy expensive reactions such as photosynthesis, protein synthesis and structure were significantly downregulated upon MeJA elicitation. Overall protein-transcript correlation was also weak (r = 0.341) suggesting the existence of post-transcriptional regulation during such stress. In conclusion, proteomics analysis using SWATH-MS analysis supplemented by the transcriptome database allows comprehensive protein profiling of this non-model herbal species upon MeJA treatment.

  5. Fulltext Extensive mass spectrometry proteomics data of Persicaria minor herb upon methyl jasmonate treatment
    Aizat WM, Ibrahim S, Rahnamaie-Tajadod R, Loke KK, Goh HH, Noor NM
    Data Brief, 2018 Feb;16:1091-1094.
    PMID: 29854898 DOI: 10.1016/j.dib.2017.09.063
    Proteomics is often hindered by the lack of protein sequence database particularly for non-model species such as Persicaria minor herbs. An integrative approach called proteomics informed by transcriptomics is possible [1], in which translated transcriptome sequence database is used as the protein sequence database. In this current study, the proteome profile were profiled using SWATH-MS technology complemented with documented transcriptome profiling [2], the first such report in this tropical herb. The plant was also elicited using a phytohormone, methyl jasmonate (MeJA) and protein changes were elucidated using label-free quantification of SWATH-MS to understand the role of such signal molecule in this herbal species. The mass spectrometry proteomics data was deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD005749. This data article refers to the article entitled "Proteomics (SWATH-MS)-informed by transcriptomics approach of Persicaria minor leaves upon methyl jasmonate elicitation" [3].
  6. Fulltext RNA-seq data from different developmental stages of Rafflesia cantleyi floral buds
    Amini S, Alias H, Aizat-Juhari MA, Mat-Isa MN, Adam JH, Goh HH, et al.
    Genom Data, 2017 Dec;14:5-6.
    PMID: 28761813 DOI: 10.1016/j.gdata.2017.07.008
    Rafflesia cantleyi, known as one of the world's largest flowers, is a specialised holoparasite due to dramatic morphological modifications. It possesses highly reduced vegetative structure and only appears as a flower for sexual reproduction. Moreover, it has an unusual life cycle in that its floral bud development takes up to nine months. In order to fully understand the highly modified floral organ structure and long life cycle of R. cantleyi, we used Illumina sequencing technology (HiSeq) for sequence generation followed by de novo assembly of sequence reads. We obtained the RNA-seq data from three different stages of floral bud, representing the early, mid and advanced developmental stages. These data are available via BioProject accession number PRJNA378435. More than 10.3 Gb raw sequence data were generated, corresponding to 102,203,042 raw reads. Following removal of low-quality reads and trimming of adapter sequences, a total of 91,638,836 reads were obtained. De novo assembly of these sequences using Trinity resulted in 89,690 unique transcripts with an N50 of 1653 bp. The obtained transcriptomic data will be useful for further study to understand the molecular interactions that result in R. cantleyi floral development.
  7. Fulltext Transcriptome landscape of Rafflesia cantleyi floral buds reveals insights into the roles of transcription factors and phytohormones in flower development
    Amini S, Rosli K, Abu-Bakar MF, Alias H, Mat-Isa MN, Juhari MA, et al.
    PLoS One, 2019;14(12):e0226338.
    PMID: 31851702 DOI: 10.1371/journal.pone.0226338
    Rafflesia possesses unique biological features and known primarily for producing the world's largest and existing as a single flower. However, to date, little is known about key regulators participating in Rafflesia flower development. In order to further understand the molecular mechanism that regulates Rafflesia cantleyi flower development, RNA-seq data from three developmental stages of floral bud, representing the floral organ primordia initiation, floral organ differentiation, and floral bud outgrowth, were analysed. A total of 89,890 transcripts were assembled of which up to 35% could be annotated based on homology search. Advanced transcriptome analysis using K-mean clustering on the differentially expressed genes (DEGs) was able to identify 12 expression clusters that reflect major trends and key transitional states, which correlate to specific developmental stages. Through this, comparative gene expression analysis of different floral bud stages identified various transcription factors related to flower development. The members of WRKY, NAC, bHLH, and MYB families are the most represented among the DEGs, suggesting their important function in flower development. Furthermore, pathway enrichment analysis also revealed DEGs that are involved in various phytohormone signal transduction events such as auxin and auxin transport, cytokinin and gibberellin biosynthesis. Results of this study imply that transcription factors and phytohormone signalling pathways play major role in Rafflesia floral bud development. This study provides an invaluable resource for molecular studies of the flower development process in Rafflesia and other plant species.
  8. UV-blocking and photocatalytic properties of Ag-coated cotton fabrics with Si binders for photo-degradation of recalcitrant dyes in aqueous solutions under sunlight
    Amjad M, Mohyuddin A, Ulfat W, Goh HH, Dzarfan Othman MH, Kurniawan TA
    J Environ Manage, 2024 Feb 27;353:120287.
    PMID: 38335595 DOI: 10.1016/j.jenvman.2024.120287
    Textile wastewater laden with dyes has emerged as a source of water pollution. This possesses a challenge in its effective treatment using a single functional material. In respond to this technological constraint, this work presents multifunctional cotton fabrics (CFs) within a single, streamlined preparation process. This approach utilizes the adherence of Ag NPs (nanoparticles) using Si binder on the surface of CFs, resulting in Ag-coated CFs through a pad dry method. The prepared samples were characterized using scanning electron microscope-energy dispersive X-ray electroscopy (SEM-EDS), thermal gravimetric analysis (TGA), Fourier transformation infrared (FT-IR). It was found that the FT-IR spectra of Ag NPs-coated CFs had peaks appear at 3400, 2900, and 1200 cm-1, implying the stretching vibrations of O-H, C-H, and C-O, respectively. Based on the EDX analysis, the presence of C, O, and Ag related to the coated CFs were detected. After coating the CFs with varying concentrations of Ag NPs (1%, 2% and 3% (w/w)), they were used to remove dyes. Under the same concentration of 10 mg/L and optimized pH 7.5 and 2 h of reaction time, 3% (w/w) Ag-coated CFs exhibited a substantial MB degradation of 98 %, while removing 95% of methyl orange, 85% of rhodamine B, and 96% of Congo red, respectively, following 2 h of Vis exposure. Ag NPs had a strong absorption at 420 nm with 2.51 eV of energy band gap. Under UV irradiation, electrons excited and produced free radicals that promoted dyes photodegradation. The oxidation by-products included p-dihydroxybenzene and succinic acid. Spent Ag-coated CFs attained 98% of regeneration efficiency. The utilization of Ag-coated CFs as a photocatalyst facilitated treated effluents to meet the required discharge standard of lower than 1 mg/L mandated by national legislation. The integration of multifunctional CFs in the treatment system presents a new option for tackling water pollution due to dyes.
  9. Fulltext Omics Approaches in Uncovering Molecular Evolution and Physiology of Botanical Carnivory
    Baharin A, Ting TY, Goh HH
    Plants (Basel), 2023 Jan 15;12(2).
    PMID: 36679121 DOI: 10.3390/plants12020408
    Systems biology has been increasingly applied with multiple omics for a holistic comprehension of complex biological systems beyond the reductionist approach that focuses on individual molecules. Different high-throughput omics approaches, including genomics, transcriptomics, metagenomics, proteomics, and metabolomics have been implemented to study the molecular mechanisms of botanical carnivory. This covers almost all orders of carnivorous plants, namely Caryophyllales, Ericales, Lamiales, and Oxalidales, except Poales. Studies using single-omics or integrated multi-omics elucidate the compositional changes in nucleic acids, proteins, and metabolites. The omics studies on carnivorous plants have led to insights into the carnivory origin and evolution, such as prey capture and digestion as well as the physiological adaptations of trap organ formation. Our understandings of botanical carnivory are further enhanced by the discoveries of digestive enzymes and transporter proteins that aid in efficient nutrient sequestration alongside dynamic molecular responses to prey. Metagenomics studies revealed the mutualistic relationships between microbes and carnivorous plants. Lastly, in silico analysis accelerated the functional characterization of new molecules from carnivorous plants. These studies have provided invaluable molecular data for systems understanding of carnivorous plants. More studies are needed to cover the diverse species with convergent evolution of botanical carnivory.
  10. Metabolite profiling reveals temperature effects on the VOCs and flavonoids of different plant populations
    Goh HH, Khairudin K, Sukiran NA, Normah MN, Baharum SN
    Plant Biol (Stuttg), 2016 Jan;18 Suppl 1:130-9.
    PMID: 26417881 DOI: 10.1111/plb.12403
    Temperature is one of the key factors in limiting the distribution of plants and controlling major metabolic processes. A series of simulated reciprocal transplant experiments were performed to investigate the effect of temperature on plant chemical composition. Polygonum minus of different lowland and highland origin were grown under a controlled environment with different temperature regimes to study the effects on secondary metabolites. We applied gas chromatography-mass spectrometry and liquid chromatography time-of-flight mass spectrometry to identify the chemical compounds. A total of 37 volatile organic compounds and 85 flavonoids were detected, with the largest response observed in the compositional changes of aldehydes and terpenes in highland plants under higher temperature treatment. Significantly less anthocyanidin compounds and larger amounts of flavonols were detected under higher temperature treatment. We also studied natural variation in the different plant populations growing under the same environment and identified compounds unique to each population through metabolite fingerprinting. This study shows that the origin of different plant populations influences the effects of temperature on chemical composition.
  11. Fulltext Ten simple rules for writing scientific op-ed articles
    Goh HH, Bourne P
    PLoS Comput Biol, 2020 09;16(9):e1008187.
    PMID: 32941423 DOI: 10.1371/journal.pcbi.1008187
  12. Fulltext Transcriptome-wide shift from photosynthesis and energy metabolism upon endogenous fluid protein depletion in young Nepenthes ampullaria pitchers
    Goh HH, Baharin A, Mohd Salleh F', Ravee R, Wan Zakaria WNA, Mohd Noor N
    Sci Rep, 2020 04 20;10(1):6575.
    PMID: 32313042 DOI: 10.1038/s41598-020-63696-z
    Carnivorous pitcher plants produce specialised pitcher organs containing secretory glands, which secrete acidic fluids with hydrolytic enzymes for prey digestion and nutrient absorption. The content of pitcher fluids has been the focus of many fluid protein profiling studies. These studies suggest an evolutionary convergence of a conserved group of similar enzymes in diverse families of pitcher plants. A recent study showed that endogenous proteins were replenished in the pitcher fluid, which indicates a feedback mechanism in protein secretion. This poses an interesting question on the physiological effect of plant protein loss. However, there is no study to date that describes the pitcher response to endogenous protein depletion. To address this gap of knowledge, we previously performed a comparative RNA-sequencing experiment of newly opened pitchers (D0) against pitchers after 3 days of opening (D3C) and pitchers with filtered endogenous proteins (>10 kDa) upon pitcher opening (D3L). Nepenthes ampullaria was chosen as a model study species due to their abundance and unique feeding behaviour on leaf litters. The analysis of unigenes with top 1% abundance found protein translation and stress response to be overrepresented in D0, compared to cell wall related, transport, and signalling for D3L. Differentially expressed gene (DEG) analysis identified DEGs with functional enrichment in protein regulation, secondary metabolism, intracellular trafficking, secretion, and vesicular transport. The transcriptomic landscape of the pitcher dramatically shifted towards intracellular transport and defence response at the expense of energy metabolism and photosynthesis upon endogenous protein depletion. This is supported by secretome, transportome, and transcription factor analysis with RT-qPCR validation based on independent samples. This study provides the first glimpse into the molecular responses of pitchers to protein loss with implications to future cost/benefit analysis of carnivorous pitcher plant energetics and resource allocation for adaptation in stochastic environments.
  13. Functional Genomics
    Goh HH, Ng CL, Loke KK
    Adv Exp Med Biol, 2018 11 2;1102:11-30.
    PMID: 30382566 DOI: 10.1007/978-3-319-98758-3_2
    Functional genomics encompasses diverse disciplines in molecular biology and bioinformatics to comprehend the blueprint, regulation, and expression of genetic elements that define the physiology of an organism. The deluge of sequencing data in the postgenomics era has demanded the involvement of computer scientists and mathematicians to create algorithms, analytical software, and databases for the storage, curation, and analysis of biological big data. In this chapter, we discuss on the concept of functional genomics in the context of systems biology and provide examples of its application in human genetic disease studies, molecular crop improvement, and metagenomics for antibiotic discovery. An overview of transcriptomics workflow and experimental considerations is also introduced. Lastly, we present an in-house case study of transcriptomics analysis of an aromatic herbal plant to understand the effect of elicitation on the biosynthesis of volatile organic compounds.
  14. Integrative Multi-Omics Through Bioinformatics
    Goh HH
    Adv Exp Med Biol, 2018 11 2;1102:69-80.
    PMID: 30382569 DOI: 10.1007/978-3-319-98758-3_5
    This chapter introduces different aspects of bioinformatics with a brief discussion in the systems biology context. Example applications in network pharmacology of traditional Chinese medicine, systems metabolic engineering, and plant genome-scale modelling are described. Lastly, this chapter concludes on how bioinformatics helps to integrate omics data derived from various studies described in previous chapters for a holistic understanding of secondary metabolite production in P. minus.
  15. Fulltext Ten simple rules for researchers while in isolation from a pandemic
    Goh HH, Bourne PE
    PLoS Comput Biol, 2020 06;16(6):e1007946.
    PMID: 32584810 DOI: 10.1371/journal.pcbi.1007946
  16. Variable expansin expression in Arabidopsis leads to different growth responses
    Goh HH, Sloan J, Malinowski R, Fleming A
    J Plant Physiol, 2014 Feb 15;171(3-4):329-39.
    PMID: 24144490 DOI: 10.1016/j.jplph.2013.09.009
    Expansins have long been implicated in the control of cell wall extensibility. However, despite ample evidence supporting a role for these proteins in the endogenous mechanism of plant growth, there are also examples in the literature where the outcome of altered expansin gene expression is difficult to reconcile with a simplistic causal linkage to growth promotion. To investigate this problem, we report on the analysis of transgenic Arabidopsis plants in which a heterologous cucumber expansin can be inducibly overexpressed. Our results indicate that the effects of expansin expression on growth depend on the degree of induction of expansin expression and the developmental pattern of organ growth. They support the role of expansin in directional cell expansion. They are also consistent with the idea that excess expansin might itself impede normal activities of cell wall modifications, culminating in both growth promotion and repression depending on the degree of expression.
  17. ADAP is a possible negative regulator of glucosinolate biosynthesis in Arabidopsis thaliana based on clustering and gene expression analyses
    Harun S, Rohani ER, Ohme-Takagi M, Goh HH, Mohamed-Hussein ZA
    J Plant Res, 2021 Mar;134(2):327-339.
    PMID: 33558947 DOI: 10.1007/s10265-021-01257-9
    Glucosinolates (GSLs) are plant secondary metabolites consisting of sulfur and nitrogen, commonly found in Brassicaceae crops, such as Arabidopsis thaliana. These compounds are known for their roles in plant defense mechanisms against pests and pathogens. 'Guilt-by-association' (GBA) approach predicts genes encoding proteins with similar function tend to share gene expression pattern generated from high throughput sequencing data. Recent studies have successfully identified GSL genes using GBA approach, followed by targeted verification of gene expression and metabolite data. Therefore, a GSL co-expression network was constructed using known GSL genes obtained from our in-house database, SuCComBase. DPClusO was used to identify subnetworks of the GSL co-expression network followed by Fisher's exact test leading to the discovery of a potential gene that encodes the ARIA-interacting double AP2-domain protein (ADAP) transcription factor (TF). Further functional analysis was performed using an effective gene silencing system known as CRES-T. By applying CRES-T, ADAP TF gene was fused to a plant-specific EAR-motif repressor domain (SRDX), which suppresses the expression of ADAP target genes. In this study, ADAP was proposed as a negative regulator in aliphatic GSL biosynthesis due to the over-expression of downstream aliphatic GSL genes (UGT74C1 and IPMI1) in ADAP-SRDX line. The significant over-expression of ADAP gene in the ADAP-SRDX line also suggests the behavior of the TF that negatively affects the expression of UGT74C1 and IPMI1 via a feedback mechanism in A. thaliana.
  18. A Comprehensive Gene Inventory for Glucosinolate Biosynthetic Pathway in Arabidopsis thaliana
    Harun S, Abdullah-Zawawi MR, Goh HH, Mohamed-Hussein ZA
    J Agric Food Chem, 2020 Jul 15;68(28):7281-7297.
    PMID: 32551569 DOI: 10.1021/acs.jafc.0c01916
    Glucosinolates (GSLs) are plant secondary metabolites comprising sulfur and nitrogen mainly found in plants from the order of Brassicales, such as broccoli, cabbage, and Arabidopsis thaliana. The activated forms of GSL play important roles in fighting against pathogens and have health benefits to humans. The increasing amount of data on A. thaliana generated from various omics technologies can be investigated more deeply in search of new genes or compounds involved in GSL biosynthesis and metabolism. This review describes a comprehensive inventory of A. thaliana GSLs identified from published literature and databases such as KNApSAcK, KEGG, and AraCyc. A total of 113 GSL genes encoding for 23 transcription components, 85 enzymes, and five protein transporters were experimentally characterized in the past two decades. Continuous efforts are still on going to identify all molecules related to the production of GSLs. A manually curated database known as SuCCombase (http://plant-scc.org) was developed to serve as a comprehensive GSL inventory. Realizing lack of information on the regulation of GSL biosynthesis and degradation mechanisms, this review also includes relevant information and their connections with crosstalk among various factors, such as light, sulfur metabolism, and nitrogen metabolism, not only in A. thaliana but also in other crucifers.
  19. Transcriptome-wide effects of expansin gene manipulation in etiolated Arabidopsis seedling
    Ilias IA, Negishi K, Yasue K, Jomura N, Morohashi K, Baharum SN, et al.
    J Plant Res, 2019 Mar;132(2):159-172.
    PMID: 30341720 DOI: 10.1007/s10265-018-1067-0
    Expansin is a non-enzymatic protein which plays a pivotal role in cell wall loosening by inducing stress relaxation and extension in the plant cell wall. Previous studies on Arabidopsis, Petunia × hybrida, and tomato demonstrated that the suppression of expansin gene expression reduced plant growth but expansin overexpression does not necessarily promotes growth. In this study, both expansin gene suppression and overexpression in dark-grown transgenic Arabidopsis seedlings resulted in reduced hypocotyl length at late growth stages with a more pronounced effect for the overexpression. This defect in hypocotyl elongation raises questions about the molecular effect of expansin gene manipulation. RNA-seq analysis of the transcriptomic changes between day 3 and day 5 seedlings for both transgenic lines found numerous differentially expressed genes (DEGs) including transcription factors and hormone-related genes involved in different aspects of cell wall development. These DEGs imply that the observed hypocotyl growth retardation is a consequence of the concerted effect of regulatory factors and multiple cell-wall related genes, which are important for cell wall remodelling during rapid hypocotyl elongation. This is further supported by co-expression analysis through network-centric approach of differential network cluster analysis. This first transcriptome-wide study of expansin manipulation explains why the effect of expansin overexpression is greater than suppression and provides insights into the dynamic nature of molecular regulation during etiolation.
  20. Fulltext Transcriptomic data of Arabidopsis thaliana hypocotyl upon suppression of expansin genes
    Ilias IA, Airianah OB, Baharum SN, Goh HH
    Genom Data, 2017 Jun;12:132-133.
    PMID: 28529882 DOI: 10.1016/j.gdata.2017.05.002
    Expansin is a cell wall loosening protein without hydrolytic activity, which allows cell expansion by influencing cell wall extensibility. Previous studies showed that the suppression of expansin genes (EXPA1, EXPA3, EXPA5 and EXPA10) resulted in defective organ growth and altered cell wall chemical composition [1,2]. However, the molecular mechanism on how the suppression of non-enzymatic expansin expression can result in widespread effects on plant cell wall and organ growth is still unclear. In this study, we performed transcriptomic analysis on the hypocotyls of previously reported transgenic Arabidopsis line [1] to investigate the effects of expansin gene suppression on the global gene expression pattern, particularly on the cell wall related genes.
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