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Record W4387191250 · doi:10.1016/j.stress.2023.100242

Fostering plant resilience to drought with Actinobacteria: Unveiling perennial allies in drought stress tolerance

2023· article· en· W4387191250 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePlant Stress · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsUniversity of Waterloo
FundersUniversity of Tehran
KeywordsActinobacteriaRhizosphereBiologyDrought toleranceBotanyEcologyAgronomyBacteria

Abstract

fetched live from OpenAlex

As climate change exacerbates drought conditions, global crop production faces an escalating threat. Fortunately, an eco-friendly solution lies in harnessing the potential of plant-associated plant growth-promoting bacteria. However, it's crucial to recognize that drought's impact extends beyond plants; it also influences the composition, abundance, and activity of bacterial communities. Amongst these root-associated bacterial communities, Actinobacteria are key players in preserving the well-being of plant hosts during drought stress, with research demonstrating minimal disruption to these communities under drought conditions. Actinobacteria, found ubiquitously, are exceptional candidates for promoting plant growth due to their prevalence in soil and the rhizosphere, their adeptness at colonizing plant roots and surfaces, and their capability to produce diverse secondary metabolites under drought stress. With these attributes, members of the Actinobacteria phylum present themselves as the most promising candidates for microbial inoculation of plants. They are enriched in the rhizosphere and endosphere microbiomes of crops enduring water deficit stress conditions. Notably, Actinobacteria, particularly the Streptomyces genus, employ various mechanisms, such as the modulation of phytohormone levels, reinforcement of antioxidant enzymes, enhanced water and nutrient uptake, and more, to alleviate water deficit stress in crops. This comprehensive review explores actinobacterial diversity associated with plants and delves into the impact of drought stress on the diversity of the Actinobacteria. It also examines the mechanisms through which Actinobacteria mitigate drought stress in plants. Emphasizing the role of multi-omics techniques in broadening our understanding of plant-Actinobacteria interactions, this review aims to inspire further exploration in this relatively uncharted research territory. Furthermore, it discusses future research directions for the application of Actinobacteria with plant growth-promoting traits, underlining their potential for sustainable agricultural practices.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.242
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it