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Enregistrement W2118070639 · doi:10.1104/pp.104.900130

The Cytoskeleton Becomes Multidisciplinary

2004· editorial· en· W2118070639 sur OpenAlexaff
Geoffrey O. Wasteneys, Zhenbiao Yang

Notice bibliographique

RevuePLANT PHYSIOLOGY · 2004
Typeeditorial
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiquePlant Reproductive Biology
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésCytokinesisCytoskeletonCell biologyMitosisMorphogenesisIntracellularPlant cellMicrotubuleBiologyCell polarityFunction (biology)Polarity (international relations)Cell divisionCellGeneticsGene

Résumé

récupéré en direct d'OpenAlex

It is now becoming clear that the plant cytoskeleton is not just involved in fundamental processes like mitosis, cytokinesis, cell polarity, and intracellular trafficking. For many years, the cortical cytoskeleton's specialized function in plant cell wall construction and morphogenesis has been investigated, but other unique attributes of plants, such as the regulation of water loss through stomatal guard cell movements, pollen tube growth through female reproductive tissue, and elaborations like trichomes and root hairs, also depend on the cytoskeleton. Today it is apparent that the plant cytoskeleton plays an active role in modulating the response of plants to changes in their environment, including encounters with other organisms. It is therefore not surprising that the cytoskeleton is no longer confined to the field of cell biology and that research in a wide range of plant science disciplines, including macromolecular structure, development, hormone action, and environmental stress, will all include important studies on the cytoskeleton. With Plant Physiology's coverage of this wide range of plant science disciplines, a focus issue on the cytoskeleton is timely. Our focus on the cytoskeleton issue begins with four Update articles and includes nine research articles spanning a wide range of disciplines. It is well established that several hormones including auxins, gibberellins, brassinosteroids, and ethylene influence the organization of cortical actin microfilaments and/or microtubules, implicating a role for these cytoskeletal arrays in hormonal responses. A paper in the November issue of Plant Physiology from Mike Bevan's group (Li et al., 2004) shows that Arabidopsis (Arabidopsis thaliana) mutants, in which a NAP-like gene is knocked out, are affected in sugar responses, implicating actin in the regulation of this process. NAP (NCK-associated protein) is a subunit of the WASP family verprolin homologous protein complex that regulates the conserved actin nucleating Arp2/3 complex. The cytoskeleton has also been implicated in abiotic stress responses such as in osmotic regulation and is known to modulate the activity of ion channels. Both plant-pathogen and symbiotic interactions involve changes in cell polarity and cellular trafficking in plants and thus are intimately associated with the reorganization of the cytoskeleton. An Update article in this issue by Daigo Takemoto and Adrienne Hardham (Takemoto and Hardham, 2004) discusses cytoskeletal responses and functions during encounters between plants and other organisms. Specific functions of the cytoskeleton depend on how microtubules and microfilaments are distributed and arranged, and how their behavior is modified by proteins that directly associate with both intact polymers and their subunit monomers (Wasteneys and Galway, 2003; Sedbrook, 2004). Significant progress has been made in the identification and functional analysis of cytoskeleton-associated proteins involved in nucleation, membrane anchoring, dynamics (e.g., growing and shrinking of polymers), severing, and polymer cross-linking. In this issue, we highlight the most recent work on the factors influencing microtubule and actin microfilament behavior, and discuss the advantages and limitations of live probes to investigate previously undescribed cytoskeletal functions (Wasteneys and Yang, 2004). Sherryl Bisgrove, Whitney Hable, and Darryl Kropf (Bisgrove et al., 2004) update plus-end tracking proteins, an emerging group of diverse microtubule-associated proteins that may hold the key to understanding how microtubule polarity is put to work in cells. And recent progress in understanding plant motor proteins, including an astounding complement of kinesins and myosins, is covered in an article by Yuh-Ru Lee and Bo Liu (Lee and Liu, 2004). Two research articles in this issue advance our knowledge of how microtubule-associated proteins (MAPs) work in plant cells. Van Damme et al. (2004; see cover) demonstrate that green fluorescent protein (GFP)-tagged MAP65-1 and MAP65-5 are localized to different subpopulations of cortical microtubules in tobacco BY-2 cells, whereas GFP-MAP65-4 is localized to a specific array of microtubules that rearranged to form spindles. Shoji et al. (2004) identify the SPIRAL2 protein and confirm that this 94-kD HEAT repeat-containing protein interacts with cortical microtubules. Two intriguing findings of this study are that the spr2 mutants have heightened sensitivity to microtubule-disrupting herbicides that target tubulin, and despite the propensity for right-handed twisting in spr2 mutants, when combined with the lefty alpha tubulin point mutations (Thitamadee et al., 2002), left-handed organ twisting is accentuated. The long-recognized biotechnological significance of point mutations in tubulins for effective herbicide use in agriculture is highlighted by Délye and coworkers, who explore the molecular basis for herbicide sensitivity and cross resistance (Délye et al., 2004). It is now clear that microtubule dynamics play an important role in tip-growing root hairs, and in this issue, Van Bruaene et al. (2004) use a MAP4 microtubule binding site-GFP line to follow microtubule organization and behavior. They show for the first time in Arabidopsis root hairs an extensive array of endoplasmic microtubules, and highlight likely search and capture behavior of microtubules in these tip-growing protuberances of root epidermal cells. On the actin side of the cytoskeleton, a report in this issue by Fan et al. (2004) has identified a novel actin-severing protein from lily, LdABP41, which adds to the growing list of actin-binding proteins mediating actin dynamics and reorganization. The role of the actin cytoskeleton in the modulation of intracellular signaling is highlighted in Wang et al.'s report in this issue describing an inhibitory effect of actin microfilaments on extracellular calcium influxes and cytosolic calcium accumulation in Arabidopsis pollen (Wang et al., 2004). Developing new ways of documenting the activity and distribution of actin microfilaments remains challenging, and caution is still required in the use of fluorescent fusion proteins. Two articles in this issue focus on the relative advantages and disadvantages of two live probes for labeling actin microfilaments. Ketelaar et al. (2004) demonstrate that GTP-mTalin can alter the dynamic activity of microfilaments, generate defects in cell development, and may not faithfully report all microfilament arrays in plant cells. Similarly, Sheahan et al. (2004) demonstrate how well a GFP construct incorporating one of fimbrin's actin-binding domains works in several plant systems in comparison to available GFP-Talins. Finally, identifying the functional connections between microtubule and actin microfilament arrays is an area of tremendous importance. An intriguing glimpse is provided in an article published in this issue in which a kinesin with actin microfilament-binding activity and association with cortical arrays in cellulose-rich cotton fibers is identified (Preuss et al., 2004). In future issues of Plant Physiology, we hope to see more studies that consider the functional aspects of actin microfilaments and microtubules as integrated networks in plant cells.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,008
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,009
Score d'incertitude au seuil0,027

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,008
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0020,004
Communication savante0,0070,008
Science ouverte0,0030,002
Intégrité de la recherche0,0090,022
Charge utile insuffisante (le modèle a refusé de juger)0,0060,003

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,006
Tête enseignante GPT0,249
Écart entre enseignants0,243 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations28
Publié2004
Routes d'admission1
Résumé présentoui

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