Literature DB >> 27564861

Maize susceptibility to Ustilago maydis is influenced by genetic and chemical perturbation of carbohydrate allocation.

Matthias Kretschmer1, Daniel Croll1, James W Kronstad1,2.   

Abstract

The ability of biotrophic fungi to metabolically adapt to the host environment is a critical factor in fungal diseases of crop plants. In this study, we analysed the transcriptome of maize tumours induced by Ustilago maydis to identify key features underlying metabolic shifts during disease. Among other metabolic changes, this analysis highlighted modifications during infection in the transcriptional regulation of carbohydrate allocation and starch metabolism. We confirmed the relevance of these changes by establishing that symptom development was altered in an id1 (indeterminate1) mutant that showed increased accumulation of sucrose as well as being defective in the vegetative to reproductive transition. We further established the relevance of specific metabolic functions related to carbohydrate allocation by assaying disease in su1 (sugary1) mutant plants with altered starch metabolism and in plants treated with glucose, sucrose and silver nitrate during infection. We propose that specific regulatory and metabolic changes influence the balance between susceptibility and resistance by altering carbon allocation to promote fungal growth or to influence plant defence. Taken together, these studies reveal key aspects of metabolism that are critical for biotrophic adaptation during the maize-U. maydis interaction.
© 2016 BSPP AND JOHN WILEY & SONS LTD.

Entities:  

Keywords:  RNA-Seq; Zea mays; maize; smut; starch; transcription factor

Mesh:

Substances:

Year:  2016        PMID: 27564861      PMCID: PMC6638311          DOI: 10.1111/mpp.12486

Source DB:  PubMed          Journal:  Mol Plant Pathol        ISSN: 1364-3703            Impact factor:   5.663


  69 in total

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Authors:  Y Kimura; Y Tosa; S Shimada; R Sogo; M Kusaba; T Sunaga; S Betsuyaku; Y Eto; H Nakayashiki; S Mayama
Journal:  Plant Cell Physiol       Date:  2001-12       Impact factor: 4.927

2.  Characterization of a purified beta-fructofuranosidase from Bifidobacterium infantis ATCC 15697.

Authors:  M Warchol; S Perrin; J-P Grill; F Schneider
Journal:  Lett Appl Microbiol       Date:  2002       Impact factor: 2.858

3.  Wheat invertases : characterization of cell wall-bound and soluble forms.

Authors:  H B Krishnan; J T Blanchette; T W Okita
Journal:  Plant Physiol       Date:  1985-06       Impact factor: 8.340

4.  Invertases in Oat Seedlings: SEPARATION, PROPERTIES, AND CHANGES IN ACTIVITIES IN SEEDLING SEGMENTS.

Authors:  R Pressey; J K Avants
Journal:  Plant Physiol       Date:  1980-01       Impact factor: 8.340

5.  Growth and Photosynthetic Characteristics of Solanum tuberosum Plantlets Cultivated in Vitro in Different Conditions of Aeration, Sucrose Supply, and CO(2) Enrichment.

Authors:  L Cournac; B Dimon; P Carrier; A Lohou; P Chagvardieff
Journal:  Plant Physiol       Date:  1991-09       Impact factor: 8.340

6.  Dissecting defense-related and developmental transcriptional responses of maize during Ustilago maydis infection and subsequent tumor formation.

Authors:  Christoph W Basse
Journal:  Plant Physiol       Date:  2005-06-24       Impact factor: 8.340

7.  Insights from the genome of the biotrophic fungal plant pathogen Ustilago maydis.

Authors:  Jörg Kämper; Regine Kahmann; Michael Bölker; Li-Jun Ma; Thomas Brefort; Barry J Saville; Flora Banuett; James W Kronstad; Scott E Gold; Olaf Müller; Michael H Perlin; Han A B Wösten; Ronald de Vries; José Ruiz-Herrera; Cristina G Reynaga-Peña; Karen Snetselaar; Michael McCann; José Pérez-Martín; Michael Feldbrügge; Christoph W Basse; Gero Steinberg; Jose I Ibeas; William Holloman; Plinio Guzman; Mark Farman; Jason E Stajich; Rafael Sentandreu; Juan M González-Prieto; John C Kennell; Lazaro Molina; Jan Schirawski; Artemio Mendoza-Mendoza; Doris Greilinger; Karin Münch; Nicole Rössel; Mario Scherer; Miroslav Vranes; Oliver Ladendorf; Volker Vincon; Uta Fuchs; Björn Sandrock; Shaowu Meng; Eric C H Ho; Matt J Cahill; Kylie J Boyce; Jana Klose; Steven J Klosterman; Heine J Deelstra; Lucila Ortiz-Castellanos; Weixi Li; Patricia Sanchez-Alonso; Peter H Schreier; Isolde Häuser-Hahn; Martin Vaupel; Edda Koopmann; Gabi Friedrich; Hartmut Voss; Thomas Schlüter; Jonathan Margolis; Darren Platt; Candace Swimmer; Andreas Gnirke; Feng Chen; Valentina Vysotskaia; Gertrud Mannhaupt; Ulrich Güldener; Martin Münsterkötter; Dirk Haase; Matthias Oesterheld; Hans-Werner Mewes; Evan W Mauceli; David DeCaprio; Claire M Wade; Jonathan Butler; Sarah Young; David B Jaffe; Sarah Calvo; Chad Nusbaum; James Galagan; Bruce W Birren
Journal:  Nature       Date:  2006-11-02       Impact factor: 49.962

8.  A H2O2-producing glyoxal oxidase is required for filamentous growth and pathogenicity in Ustilago maydis.

Authors:  B Leuthner; C Aichinger; E Oehmen; E Koopmann; O Müller; P Müller; R Kahmann; M Bölker; P H Schreier
Journal:  Mol Genet Genomics       Date:  2004-12-01       Impact factor: 3.291

Review 9.  Extracellular invertase: key metabolic enzyme and PR protein.

Authors:  T Roitsch; M E Balibrea; M Hofmann; R Proels; A K Sinha
Journal:  J Exp Bot       Date:  2003-01       Impact factor: 6.992

10.  The maize INDETERMINATE1 flowering time regulator defines a highly conserved zinc finger protein family in higher plants.

Authors:  Joseph Colasanti; Reynald Tremblay; Ada Y M Wong; Viktoriya Coneva; Akiko Kozaki; Barbara K Mable
Journal:  BMC Genomics       Date:  2006-06-19       Impact factor: 3.969

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  15 in total

1.  Chloroplast-associated metabolic functions influence the susceptibility of maize to Ustilago maydis.

Authors:  Matthias Kretschmer; Daniel Croll; James W Kronstad
Journal:  Mol Plant Pathol       Date:  2016-11-14       Impact factor: 5.663

2.  Sugar Partitioning between Ustilago maydis and Its Host Zea mays L during Infection.

Authors:  Davide Sosso; Karina van der Linde; Margaret Bezrutczyk; David Schuler; Karina Schneider; Jörg Kämper; Virginia Walbot
Journal:  Plant Physiol       Date:  2018-12-28       Impact factor: 8.340

Review 3.  Alterations in plant sugar metabolism: signatory of pathogen attack.

Authors:  Poonam Kanwar; Gopaljee Jha
Journal:  Planta       Date:  2018-09-28       Impact factor: 4.116

4.  Transcriptome profiling of flower buds of male-sterile lines provides new insights into male sterility mechanism in alfalfa.

Authors:  Bo Xu; Rina Wu; Fengling Shi; Cuiping Gao; Jia Wang
Journal:  BMC Plant Biol       Date:  2022-04-15       Impact factor: 5.260

Review 5.  Insights into Host Cell Modulation and Induction of New Cells by the Corn Smut Ustilago maydis.

Authors:  Amey Redkar; Alexandra Matei; Gunther Doehlemann
Journal:  Front Plant Sci       Date:  2017-05-29       Impact factor: 5.753

Review 6.  Transcripts and tumors: regulatory and metabolic programming during biotrophic phytopathogenesis.

Authors:  Lara Schmitz; Sean McCotter; Matthias Kretschmer; James W Kronstad; Kai Heimel
Journal:  F1000Res       Date:  2018-11-19

7.  Cell type specific transcriptional reprogramming of maize leaves during Ustilago maydis induced tumor formation.

Authors:  Mitzi Villajuana-Bonequi; Alexandra Matei; Corinna Ernst; Asis Hallab; Björn Usadel; Gunther Doehlemann
Journal:  Sci Rep       Date:  2019-07-15       Impact factor: 4.379

Review 8.  Chloroplasts and Plant Immunity: Where Are the Fungal Effectors?

Authors:  Matthias Kretschmer; Djihane Damoo; Armin Djamei; James Kronstad
Journal:  Pathogens       Date:  2019-12-24

9.  The key genes and pathways related to male sterility of eggplant revealed by comparative transcriptome analysis.

Authors:  Yan Yang; Shengyou Bao; Xiaohui Zhou; Jun Liu; Yong Zhuang
Journal:  BMC Plant Biol       Date:  2018-09-24       Impact factor: 4.215

10.  Using Transcriptome Analysis to Screen for Key Genes and Pathways Related to Cytoplasmic Male Sterility in Cotton (Gossypium hirsutum L.).

Authors:  Yuqing Li; Tengfei Qin; Chunyan Wei; Jialiang Sun; Tao Dong; Ruiyang Zhou; Quanjia Chen; Qinglian Wang
Journal:  Int J Mol Sci       Date:  2019-10-16       Impact factor: 5.923

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