67 research outputs found

    Expression of two barley proteinase inhibitors in tomato promotes endogenous defensive response and enhances resistance to Tuta absoluta

    Get PDF
    [EN] Background: For as long as 350 million years, plants and insects have coexisted and developed a set of relationships which affect both organisms at different levels. Plants have evolved various morphological and biochemical adaptations to cope with herbivores attacks. However, Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae) has become the major pest threatening tomato crops worldwide and without the appropriated management it can cause production losses between 80 to 100%. Results: The aim of this study was to investigate the in vivo effect of a serine proteinase inhibitor (BTI-CMe) and a cysteine proteinase inhibitor (Hv-CPI2) from barley on this insect and to examine the effect their expression has on tomato defensive response. We found that larvae fed on the double transgenic plants showed a notable reduction in weight. Moreover, only 56% of the larvae reached the adult stage. The emerged adults showed wings deformities and reduced fertility. We also investigated the effect of proteinase inhibitors ingestion on the insect digestive enzymes. Our results showed a decrease in larval trypsin activity. Transgenes expression had no harmful effect on Nesidiocoris tenuis (Reuter) (Heteroptera: Miridae), a predator of Tuta absoluta, despite transgenic tomato plants attracted the mirid. We also found that barley cystatin expression promoted plant defense by inducing the expression of the tomato endogenous wound inducible Proteinase inhibitor 2 (Pin2) gene, increasing the production of glandular trichomes and altering the emission of volatile organic compounds. Conclusion: Our results demonstrate the usefulness of the co-expression of different proteinase inhibitors for the enhancement of plant resistance to Tuta absoluta.This work was partly supported by grants BIO2013-40747-R and AGL2014-55616-C3 from the Spanish Ministry of Economy and Competitiveness (MINECO)Hamza, R.; PĂ©rez-Hedo, M.; Urbaneja, A.; Rambla Nebot, JL.; Granell Richart, A.; Gaddour, K.; Beltran Porter, JP.... (2018). Expression of two barley proteinase inhibitors in tomato promotes endogenous defensive response and enhances resistance to Tuta absoluta. BMC Plant Biology. 18. https://doi.org/10.1186/s12870-018-1240-6S18Oerke EC. Crop losses to pests. J Agric Sci. 2005;144(01):31.Jouanin L, BonadĂ©-Bottino M, Girard C, Morrot G, Giband M. Transgenic plants for insect resistance. Plant Sci. 1998;131(1):1–11.Markwick NP, Docherty LC, Phung MM, Lester MT, Murray C, Yao JL, Mitra DS, Cohen D, Beuning LL, Kutty-Amma S, et al. Transgenic tobacco and apple plants expressing biotin-binding proteins are resistant to two cosmopolitan insect pests, potato tuber moth and lightbrown apple moth, respectively. Transgenic Res. 2003;12(6):671–81.Koiwa H, Bressan RA, Hasegawa PM. Regulation of protease inhibitors and plant defense. Trends Plant Sci. 1997;2(10):379–84.Ryan CA. Protease inhibitors in plants: genes for improving defenses against insects and pathogens. Annu Rev Phytopathol. 1990;28(1):425–49.Abdeen A, Virgos A, Olivella E, Villanueva J, Aviles X, Gabarra R, Prat S. Multiple insect resistance in transgenic tomato plants over-expressing two families of plant proteinase inhibitors. Plant Mol Biol. 2005;57(2):189–202.Quilis J, LĂłpez-GarcĂ­a B, Meynard D, Guiderdoni E, San Segundo B. Inducible expression of a fusion gene encoding two proteinase inhibitors leads to insect and pathogen resistance in transgenic rice. Plant Biotechnol J. 2014;12(3):367–77.Smigocki AC, Ivic-Haymes S, Li H, Savic J. Pest protection conferred by a Beta vulgaris serine proteinase inhibitor gene. PLoS One. 2013;8(2):e57303.Mazumdar-Leighton S, Broadway RM. Transcriptional induction of diverse midgut trypsins in larval Agrotis ipsilon and Helicoverpa zea feeding on the soybean trypsin inhibitor. Insect Biochem Mol Biol. 2001;31(6–7):645–57.Oppert B, Morgan TD, Hartzer K, Kramer KJ. Compensatory proteolytic responses to dietary proteinase inhibitors in the red flour beetle, Tribolium castaneum (Coleoptera: Tenebrionidae). Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology. 2005;140(1):53–8.Broadway RM. Dietary regulation of serine proteinases that are resistant to serine proteinase inhibitors. J Insect Physiol. 1997;43(9):855–74.Zhu-Salzman K, Koiwa H, Salzman R, Shade R, Ahn JE. Cowpea bruchid Callosobruchus maculatus uses a three-component strategy to overcome a plant defensive cysteine protease inhibitor. Insect Mol Biol. 2003;12(2):135–45.Oppert B, Morgan TD, Hartzer K, Lenarcic B, Galesa K, Brzin J, Turk V, Yoza K, Ohtsubo K, Kramer KJ. Effects of proteinase inhibitors on digestive proteinases and growth of the red flour beetle, Tribolium castaneum (Herbst) (Coleoptera: Tenebrionidae). Comparative biochemistry and physiology Toxicology & pharmacology : CBP. 2003;134(4):481–90.Duan X, Li X, Xue Q, Abo-El-Saad M, Xu D, Wu R. Transgenic rice plants harboring an introduced potato proteinase inhibitor II gene are insect resistant. Nat Biotechnol. 1996;14(4):494–8.Pompermayer P, Lopes AR, Terra WR, Parra JRP, Falco MC, Silva-Filho MC. Effects of soybean proteinase inhibitor on development, survival and reproductive potential of the sugarcane borer, Diatraea saccharalis. Entomologia Experimentalis et Applicata. 2001;99(1):79–85.Alfonso-RubĂ­ J, Ortego F, Castañera P, Carbonero P, DĂ­az I. Transgenic expression of trypsin inhibitor CMe from barley in indica and japonica rice, confers resistance to the rice weevil Sitophilus oryzae. Transgenic Res. 2003;12(1):23–31.Altpeter F, Diaz I, Mc Auslane H, Gaddour K, Carbonero P, Vasil IK. Increased insect resistance in transgenic wheat stably expressing trypsin inhibitor CMe. Mol Breed. 1999;5(1):53–63.Martinez M, Cambra I, Carrillo L, Diaz-Mendoza M, Diaz I. Characterization of the entire cystatin gene family in barley and their target cathepsin L-like cysteine-proteases, partners in the hordein mobilization during seed germination. Plant Physiol. 2009;151(3):1531–45.FAOSTAT: Food and Organization of the United Nations, statistics division. 2017.Mueller LA, Lankhorst RK, Tanksley SD, Giovannoni JJ, White R, Vrebalov J, Fei Z, van Eck J, Buels R, Mills AA, et al. A snapshot of the emerging tomato genome sequence. The Plant Genome. 2009;2(1):78–92.Ellul P, Garcia-Sogo B, Pineda B, Rios G, Roig L, Moreno V. The ploidy level of transgenic plants in agrobacterium-mediated transformation of tomato cotyledons (Lycopersicon esculentum L. mill.) is genotype and procedure dependent. Theor Appl Genet. 2003;106(2):231–8.Pino LE, Lombardi-Crestana S, Azevedo MS, Scotton DC, Borgo L, Quecini V, Figueira A, Peres LE. The Rg1 allele as a valuable tool for genetic transformation of the tomato'Micro-Tom'model system. Plant Methods. 2010;6(1):23.Sharma MK, Solanke AU, Jani D, Singh Y, Sharma AK. A simple and efficient agrobacterium-mediated procedure for transformation of tomato. J Biosci. 2009;34(3):423–33.van Eck J, Kirk DD, Walmsley AM. Tomato (Lycopersicum esculentum). Agrobacterium Protocols. 2006:459–74.Dan Y, Yan H, Munyikwa T, Dong J, Zhang Y, Armstrong CL. MicroTom—a high-throughput model transformation system for functional genomics. Plant Cell Rep. 2006;25(5):432–41.Pearce G, Strydom D, Johnson S, Ryan CA. A polypeptide from tomato leaves induces wound-inducible proteinase inhibitor proteins. Science. 1991;253(5022):895–9.Farmer EE, Ryan CA. Interplant communication: airborne methyl jasmonate induces synthesis of proteinase inhibitors in plant leaves. Proc Natl Acad Sci. 1990;87(19):7713–6.Bosch M, Wright LP, Gershenzon J, Wasternack C, Hause B, Schaller A, Stintzi A. Jasmonic acid and its precursor 12-oxophytodienoic acid control different aspects of constitutive and induced herbivore defenses in tomato. Plant Physiol. 2014;166(1):396–410.Christensen SA, Nemchenko A, Borrego E, Murray I, Sobhy IS, Bosak L, DeBlasio S, Erb M, Robert CA, Vaughn KA. The maize lipoxygenase, ZmLOX10, mediates green leaf volatile, jasmonate and herbivore-induced plant volatile production for defense against insect attack. Plant J. 2013;74(1):59–73.Boughton AJ, Hoover K, Felton GW. Methyl jasmonate application induces increased densities of glandular trichomes on tomato, Lycopersicon esculentum. J Chem Ecol. 2005;31(9):2211–6.Li L, Zhao Y, McCaig BC, Wingerd BA, Wang J, Whalon ME, Pichersky E, Howe GA. The tomato homolog of CORONATINE-INSENSITIVE1 is required for the maternal control of seed maturation, jasmonate-signaled defense responses, and glandular trichome development. Plant Cell. 2004;16(1):126–43.Peiffer M, Tooker JF, Luthe DS, Felton GW. Plants on early alert: glandular trichomes as sensors for insect herbivores. New Phytol. 2009;184(3):644–56.Bryant J, Green TR, Gurusaddaiah T, Ryan CA. Proteinase inhibitor II from potatoes: isolation and characterization of its protomer components. Biochemistry. 1976;15(16):3418–24.Johnson R, Narvaez J, An G, Ryan C. Expression of proteinase inhibitors I and II in transgenic tobacco plants: effects on natural defense against Manduca sexta larvae. Proc Natl Acad Sci. 1989;86(24):9871–5.Klopfenstein NB, Allen KK, Avila FJ, Heuchelin SA, Martinez J, Carman RC, Hall RB, Hart ER, McNabb HS. Proteinase inhibitor II gene in transgenic poplar: chemical and biological assays. Biomass Bioenergy. 1997;12(4):299–311.Dicke M, Takabayashi J, Posthumus MA, SchĂŒtte C, Krips OE. Plant—Phytoseiid interactions mediated by herbivore-induced plant volatiles: variation in production of cues and in responses of predatory mites. Exp Appl Acarol. 1998;22(6):311–33.Turlings T, Loughrin JH, Mccall PJ, Röse U, Lewis WJ, Tumlinson JH. How caterpillar-damaged plants protect themselves by attracting parasitic wasps. Proc Natl Acad Sci. 1995;92(10):4169–74.Levin DA. The role of trichomes in plant defense. Q Rev Biol. 1973;48(1, Part 1):3–15.Traw BM, Dawson TE. Differential induction of trichomes by three herbivores of black mustard. Oecologia. 2002;131(4):526–32.Handley R, Ekbom B, Ågren J. Variation in trichome density and resistance against a specialist insect herbivore in natural populations of Arabidopsis thaliana. Ecological Entomology. 2005;30(3):284–92.Valverde P, Fornoni J, NÚÑez-FarfĂĄn J. Defensive role of leaf trichomes in resistance to herbivorous insects in Datura stramonium. J Evol Biol. 2001;14(3):424–32.Elle E, Hare J. Environmentally induced variation in floral traits affects the mating system in Datura wrightii. Funct Ecol. 2002;16(1):79–88.Agrawal AA. Benefits and costs of induced plant defense for Lepidium virginicum (Brassicaceae). Ecology. 2000;81(7):1804–13.Dalin P, Björkman C. Adult beetle grazing induces willow trichome defence against subsequent larval feeding. Oecologia. 2003;134(1):112–8.Campos MR, Biondi A, Adiga A, Guedes RN, Desneux N. From the western Palaearctic region to beyond: Tuta absoluta 10 years after invading Europe. J Pest Sci. 2017:1–10.Desneux N, Wajnberg E, Wyckhuys KA, Burgio G, Arpaia S, NarvĂĄez-Vasquez CA, GonzĂĄlez-Cabrera J, Ruescas DC, Tabone E, Frandon J. Biological invasion of European tomato crops by Tuta absoluta: ecology, geographic expansion and prospects for biological control. J Pest Sci. 2010;83(3):197–215.Urbaneja A, MontĂłn H, MollĂĄ O. Suitability of the tomato borer Tuta absoluta as prey for Macrolophus pygmaeus and Nesidiocoris tenuis. J Appl Entomol. 2009;133(4):292–6.PĂ©rez-Hedo M, Urbaneja A. Prospects for predatory mirid bugs as biocontrol agents of aphids in sweet peppers. J Pest Sci. 2015;88(1):65–73.Hewitt E. The composition of the nutrient solution. Sand and water culture methods used in the study of plant Nutrition. 1966:187–246.Karimi M, InzĂ© D, Depicker A. GATEWAYℱ vectors for agrobacterium-mediated plant transformation. Trends Plant Sci. 2002;7(5):193–5.MartĂ­n-Trillo M, GrandĂ­o EG, Serra F, Marcel F, RodrĂ­guez-Buey ML, Schmitz G, Theres K, Bendahmane A, Dopazo H, Cubas P. Role of tomato BRANCHED1-like genes in the control of shoot branching. Plant J. 2011;67(4):701–14.Vargas C. Observations on the bionomics and natural enemies of the tomato moth, Gnorimoschema absoluta (Meyrick)(Lep. Gelechiidae). Idesia. 1970;1:75–110.MollĂĄ O, Biondi A, Alonso-Valiente M, Urbaneja A. A comparative life history study of two mirid bugs preying on Tuta absoluta and Ephestia kuehniella eggs on tomato crops: implications for biological control. BioControl. 2014;59(2):175–83.Abbot C. Solar variation and the weather. Science (New York, NY). 1925;62(1605):307.Bradford MM. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal Biochem. 1976;72(1–2):248–54.Bouagga S, Urbaneja A, Rambla JL, Granell A, PĂ©rez-Hedo M. Orius laevigatus strengthens its role as a biological control agent by inducing plant defenses. J Pest Sci. 2017:1–10.Hilder VA, Gatehouse AM, Sheerman SE, Barker RF, Boulter D. A novel mechanism of insect resistance engineered into tobacco. Nature. 1987;330(6144):160–3.Saikia K, Kalita J, Saikia PK. Biology and life cycle generations of common crow–Euploea core core Cramer (Lepidoptera: Danainae) on Hemidesmus indica host plant. Int J NeBIO. 2010;1(3):28–37.Srinivasan A, Giri AP, Gupta VS. Structural and functional diversities in lepidopteran serine proteases. Cellular & molecular biology letters. 2006;11(1):132.Tamhane VA, Chougule NP, Giri AP, Dixit AR, Sainani MN, Gupta VS. In vivo and in vitro effect of Capsicum annum proteinase inhibitors on Helicoverpa armigera gut proteinases. Biochimica et Biophysica Acta (BBA)-General Subjects. 2005;1722(2):156–67.Telang M, Srinivasan A, Patankar A, Harsulkar A, Joshi V, Damle A, Deshpande V, Sainani M, Ranjekar P, Gupta G. Bitter gourd proteinase inhibitors: potential growth inhibitors of Helicoverpa armigera and Spodoptera litura. Phytochemistry. 2003;63(6):643–52.Damle MS, Giri AP, Sainani MN, Gupta VS. Higher accumulation of proteinase inhibitors in flowers than leaves and fruits as a possible basis for differential feeding preference of Helicoverpa armigera on tomato (Lycopersicon esculentum mill, cv. Dhanashree). Phytochemistry. 2005;66(22):2659–67.De Leo F, BonadĂ©-Bottino MA, Ceci LR, Gallerani R, Jouanin L. Opposite effects on spodoptera littoralis larvae of high expression level of a trypsin proteinase inhibitor in transgenic plants. Plant Physiol. 1998;118(3):997–1004.RahbĂ© Y, Ferrasson E, Rabesona H, Quillien L. Toxicity to the pea aphid Acyrthosiphon pisum of anti-chymotrypsin isoforms and fragments of Bowman–Birk protease inhibitors from pea seeds. Insect Biochem Mol Biol. 2003;33(3):299–306.Luo M, Ding L-W, Ge Z-J, Wang Z-Y, Hu B-L, Yang X-B, Sun Q-Y, Xu Z-F. The characterization of SaPIN2b, a plant trichome-localized proteinase inhibitor from Solanum americanum. Int J Mol Sci. 2012;13(11):15162–76.Dalin P, Ågren J, Björkman C, Huttunen P, KĂ€rkkĂ€inen K. Leaf trichome formation and plant resistance to herbivory. In: Dordrecht SA, editor. Induced plant resistance to herbivory. Netherlands: Springer; 2008. p. 89–105.GonzĂĄles WL, Negritto MA, SuĂĄrez LH, Gianoli E. Induction of glandular and non-glandular trichomes by damage in leaves of Madia sativa under contrasting water regimes. Acta Oecol. 2008;33(1):128–32.Luo M, Wang Z, Li H, Xia K-F, Cai Y, Xu Z-F. Overexpression of a weed (Solanum americanum) proteinase inhibitor in transgenic tobacco results in increased glandular trichome density and enhanced resistance to Helicoverpa armigera and Spodoptera litura. Int J Mol Sci. 2009;10(4):1896–910.Björkman C, Dalin P, AhrnĂ© K. Leaf trichome responses to herbivory in willows: induction, relaxation and costs. New Phytol. 2008;179(1):176–84.Duffey S. Plant glandular trichomes: their partial role in defence against insects. Insects and the plant surface. London: Edward Arnold; 1986. p. 151–72.James DG. Further field evaluation of synthetic herbivore-induced plan volatiles as attractants for beneficial insects. J Chem Ecol. 2005;31(3):481–95.Naselli M, ZappalĂ  L, Gugliuzzo A, Garzia GT, Biondi A, Rapisarda C, Cincotta F, Condurso C, Verzera A, Siscaro G. Olfactory response of the zoophytophagous mirid Nesidiocoris tenuis to tomato and alternative host plants. Arthropod Plant Interact. 2017;11(2):121–31.Tholl D. Biosynthesis and biological functions of terpenoids in plants. Advances in Biochemical Engineering and Biotechnology. 2015;148:63-106.Lange BM, Rujan T, Martin W, Croteau R. Isoprenoid biosynthesis: the evolution of two ancient and distinct pathways across genomes. Proc Natl Acad Sci. 2000;97(24):13172–7.Dudareva N, Klempien A, Muhlemann JK, Kaplan I. Biosynthesis, function and metabolic engineering of plant volatile organic compounds. New Phytol. 2013;198(1):16–32.Razal RA, Ellis S, Singh S, Lewis NG, Towers GHN. Nitrogen recycling in phenylpropanoid metabolism. Phytochemistry. 1996;41(1):31–5.Effmert U, Große J, Röse US, Ehrig F, KĂ€gi R, Piechulla B. Volatile composition, emission pattern, and localization of floral scent emission in Mirabilis jalapa (Nyctaginaceae). Am J Bot. 2005;92(1):2–12.Guterman I, Masci T, Chen X, Negre F, Pichersky E, Dudareva N, Weiss D, Vainstein A. Generation of phenylpropanoid pathway-derived volatiles in transgenic plants: rose alcohol acetyltransferase produces phenylethyl acetate and benzyl acetate in petunia flowers. Plant Mol Biol. 2006;60(4):555–63.Vogel JT, Tan B-C, McCarty DR, Klee HJ. The carotenoid cleavage dioxygenase 1 enzyme has broad substrate specificity, cleaving multiple carotenoids at two different bond positions. J Biol Chem. 2008;283(17):11364–73.Colquhoun TA, Kim JY, Wedde AE, Levin LA, Schmitt KC, Schuurink RC, Clark DG. PhMYB4 fine-tunes the floral volatile signature of petunia×hybrida through PhC4H. J Exp Bot. 2011;62(3):1133–43.Kolosova N, Gorenstein N, Kish CM, Dudareva N. Regulation of circadian methyl benzoate emission in diurnally and nocturnally emitting plants. Plant Cell. 2001;13(10):2333–47.Maeda H, Shasany AK, Schnepp J, Orlova I, Taguchi G, Cooper BR, Rhodes D, Pichersky E, Dudareva N. RNAi suppression of arogenate dehydratase1 reveals that phenylalanine is synthesized predominantly via the arogenate pathway in petunia petals. Plant Cell. 2010;22(3):832–49.Lerdau M, Gray D. Ecology and evolution of light-dependent and light-independent phytogenic volatile organic carbon. New Phytol. 2003;157(2):199–211.Martin DM, Gershenzon J, Bohlmann J. Induction of volatile terpene biosynthesis and diurnal emission by methyl jasmonate in foliage of Norway spruce. Plant Physiol. 2003;132(3):1586–99.van Doorn WG, Woltering EJ. Physiology and molecular biology of petal senescence. J Exp Bot. 2008;59(3):453–80

    Testing a global standard for quantifying species recovery and assessing conservation impact

    Get PDF
    Recognizing the imperative to evaluate species recovery and conservation impact, in 2012 the International Union for Conservation of Nature (IUCN) called for development of a “Green List of Species” (now the IUCN Green Status of Species). A draft Green Status framework for assessing species’ progress toward recovery, published in 2018, proposed 2 separate but interlinked components: a standardized method (i.e., measurement against benchmarks of species’ viability, functionality, and preimpact distribution) to determine current species recovery status (herein species recovery score) and application of that method to estimate past and potential future impacts of conservation based on 4 metrics (conservation legacy, conservation dependence, conservation gain, and recovery potential). We tested the framework with 181 species representing diverse taxa, life histories, biomes, and IUCN Red List categories (extinction risk). Based on the observed distribution of species’ recovery scores, we propose the following species recovery categories: fully recovered, slightly depleted, moderately depleted, largely depleted, critically depleted, extinct in the wild, and indeterminate. Fifty-nine percent of tested species were considered largely or critically depleted. Although there was a negative relationship between extinction risk and species recovery score, variation was considerable. Some species in lower risk categories were assessed as farther from recovery than those at higher risk. This emphasizes that species recovery is conceptually different from extinction risk and reinforces the utility of the IUCN Green Status of Species to more fully understand species conservation status. Although extinction risk did not predict conservation legacy, conservation dependence, or conservation gain, it was positively correlated with recovery potential. Only 1.7% of tested species were categorized as zero across all 4 of these conservation impact metrics, indicating that conservation has, or will, play a role in improving or maintaining species status for the vast majority of these species. Based on our results, we devised an updated assessment framework that introduces the option of using a dynamic baseline to assess future impacts of conservation over the short term to avoid misleading results which were generated in a small number of cases, and redefines short term as 10 years to better align with conservation planning. These changes are reflected in the IUCN Green Status of Species Standard

    Genomic reconstruction of the SARS-CoV-2 epidemic in England.

    Get PDF
    The evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus leads to new variants that warrant timely epidemiological characterization. Here we use the dense genomic surveillance data generated by the COVID-19 Genomics UK Consortium to reconstruct the dynamics of 71 different lineages in each of 315 English local authorities between September 2020 and June 2021. This analysis reveals a series of subepidemics that peaked in early autumn 2020, followed by a jump in transmissibility of the B.1.1.7/Alpha lineage. The Alpha variant grew when other lineages declined during the second national lockdown and regionally tiered restrictions between November and December 2020. A third more stringent national lockdown suppressed the Alpha variant and eliminated nearly all other lineages in early 2021. Yet a series of variants (most of which contained the spike E484K mutation) defied these trends and persisted at moderately increasing proportions. However, by accounting for sustained introductions, we found that the transmissibility of these variants is unlikely to have exceeded the transmissibility of the Alpha variant. Finally, B.1.617.2/Delta was repeatedly introduced in England and grew rapidly in early summer 2021, constituting approximately 98% of sampled SARS-CoV-2 genomes on 26 June 2021

    Mass spectrometry imaging for plant biology: a review

    Get PDF

    EXIMS: an improved data analysis pipeline based on a new peak picking method for EXploring Imaging Mass Spectrometry data

    Get PDF
    MOTIVATION: Matrix Assisted Laser Desorption Ionization-Imaging Mass Spectrometry (MALDI-IMS) in 'omics' data acquisition generates detailed information about the spatial distribution of molecules in a given biological sample. Various data processing methods have been developed for exploring the resultant high volume data. However, most of these methods process data in the spectral domain and do not make the most of the important spatial information available through this technology. Therefore, we propose a novel streamlined data analysis pipeline specifically developed for MALDI-IMS data utilizing significant spatial information for identifying hidden significant molecular distribution patterns in these complex datasets. METHODS: The proposed unsupervised algorithm uses Sliding Window Normalization (SWN) and a new spatial distribution based peak picking method developed based on Gray level Co-Occurrence (GCO) matrices followed by clustering of biomolecules. We also use gist descriptors and an improved version of GCO matrices to extract features from molecular images and minimum medoid distance to automatically estimate the number of possible groups. RESULTS: We evaluated our algorithm using a new MALDI-IMS metabolomics dataset of a plant (Eucalypt) leaf. The algorithm revealed hidden significant molecular distribution patterns in the dataset, which the current Component Analysis and Segmentation Map based approaches failed to extract. We further demonstrate the performance of our peak picking method over other traditional approaches by using a publicly available MALDI-IMS proteomics dataset of a rat brain. Although SWN did not show any significant improvement as compared with using no normalization, the visual assessment showed an improvement as compared to using the median normalization. AVAILABILITY AND IMPLEMENTATION: The source code and sample data are freely available at http://exims.sourceforge.net/. CONTACT: [email protected] or [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online

    Mass spectrometry imaging (MSI) for plant metabolomics

    No full text
    Mass spectrometry imaging (MSI) is a developing technique to measure the spatiotemporal distribution of many biomolecules in tissues. Over the preceding decade MSI has been adopted by plant biologists and applied in a broad range of areas including: primary metabolism, natural products, plant defense, plant responses to abiotic and biotic stress, plant lipids, and the developing field of spatial metabolomics. This methods chapter covers preparation of plant tissues for matrix-assisted laser desorption ionization (MALDI)-MSI, including sample embedding and freezing, sectioning, mounting, and matrix deposition using both sublimation and spray deposition prior to MSI analysis

    Clinical coccidiosis in adult cattle

    No full text
    • 

    corecore