Evidence map›Paper›PMID 41310444›Full record

ArticleBMC plant biology2025

Genotype-specific transcriptomic response to drought stress in potato cultivars modulated by microbial biostimulants.

Rachele Tamburino, Lorenza Sannino, Francesca Palomba, Emanuela Russo, Maria Consiglia Esposito, Adriana Sacco, Michelina Ruocco, Nunzia Scotti

Abstract read
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Chloroplasts and Plant Sustainability: Key Roles and Emerging Insights.International journal of molecular sciences · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Rachele TamburinoIstituto di Bioscienze e BioRisorse (IBBR), Consiglio Nazionale delle Ricerche (CNR), Via Università 133, Portici, 80055, Italy.
Lorenza SanninoIstituto di Bioscienze e BioRisorse (IBBR), Consiglio Nazionale delle Ricerche (CNR), Via Università 133, Portici, 80055, Italy.
Francesca PalombaIstituto per la Protezione Sostenibile delle Piante (IPSP), Consiglio Nazionale delle Ricerche (CNR), P. le E. Fermi 1, Portici, 80055, Italy.
Emanuela RussoIstituto di Bioscienze e BioRisorse (IBBR), Consiglio Nazionale delle Ricerche (CNR), Via Università 133, Portici, 80055, Italy.
Maria Consiglia EspositoIstituto di Bioscienze e BioRisorse (IBBR), Consiglio Nazionale delle Ricerche (CNR), Via Università 133, Portici, 80055, Italy.
Adriana SaccoIstituto per la Protezione Sostenibile delle Piante (IPSP), Consiglio Nazionale delle Ricerche (CNR), P. le E. Fermi 1, Portici, 80055, Italy.
Michelina RuoccoIstituto per la Protezione Sostenibile delle Piante (IPSP), Consiglio Nazionale delle Ricerche (CNR), P. le E. Fermi 1, Portici, 80055, Italy.
Nunzia ScottiIstituto di Bioscienze e BioRisorse (IBBR), Consiglio Nazionale delle Ricerche (CNR), Via Università 133, Portici, 80055, Italy. nunzia.scotti@cnr.it.ORCID http://orcid.org/0000-0002-7792-5955

Funding

Agritech National Center (European Union Next-GenerationEU, PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR) - MISSIONE 4 COMPONENTE 2, INVESTIMENTO 1.4 - D.D. 1032 17/06/2022) CN00000022"Ministero dello Sviluppo Economico" FCS-Horizon 2020 PON I&C 2014-2020 Project No. F/200088/01-03/X45 "Sviluppo di nuove tecnologie nell'agricoltura di precisione per la produzione sostenibile di genotipi di patata con elevate qualità nutrizionali (SOS-TATA)"
6 · The paper itself

Abstract

backgroundDrought is a major abiotic stress that significantly limits potato productivity and tuber quality. Microbial biostimulants have emerged as promising tools to improve crop resilience and promote sustainable agriculture. This study aimed to investigate the transcriptomic response to severe drought stress in three potato cultivars (Camelia, Cicero, and Agata) characterized by differing polyphenol content. In addition, the potential mitigating effects of a microorganism-based biostimulant mixture composed by two Trichoderma species, were evaluated.

resultsSevere drought stress led to a significant reduction in tuber yield in Camelia and Agata, whereas Cicero exhibited greater tolerance. Application of the microbial biostimulant slightly alleviated yield loss in Camelia but was associated with an increased proportion of non-commercial tubers. Polyphenol content varied according to genotype and treatment, Cicero displayed elevated polyphenol levels in the skin under drought, while Camelia showed increased levels in both skin and pulp when drought was combined with biostimulant application. Transcriptomic analysis revealed genotype-specific drought response strategies. Camelia exhibited enhanced proteostasis and osmoprotection via anthocyanin accumulation, while Cicero maintained photosynthetic activity, redox homeostasis, and genome stability. Trichoderma-based biostimulant treatment modulated these responses by enhancing endoplasmic reticulum protein quality control in Camelia, and promoting photosynthesis and sugar metabolism in Cicero.

conclusionsPotato responses to drought are highly genotype-dependent and involve complex trade-offs among growth, stress defense, and metabolic reprogramming. Microbial biostimulants offer a promising approach to enhance drought resilience and tuber nutraceutical quality. However, their efficacy is genotype-specific and requires targeted application strategies for optimal results.

Indexed as

DroughtsSolanum tuberosumStress, PhysiologicalTranscriptomeTrichodermaGene Expression Regulation, PlantGenotypePlant TubersPolyphenolsPolyphenolsDifferential gene expressionDrought stressNGSSolanum tuberosumTrichoderma spp.

Identifiers

PMID41310444
PMCPMC12751368

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.