Evidence map›Paper›PMID 35650424›Full record

ArticleScientific reports2022

Leaf transcriptome profiling of contrasting sugarcane genotypes for drought tolerance under field conditions.

Danyel Fernandes Contiliani, João Felipe Carlos de Oliveira Nebó, Rafael Vasconcelos Ribeiro, Larissa Mara Andrade, Rafael Fávero Peixoto Júnior, Carolina Gimiliani Lembke, Ricardo Silverio Machado, Daniel Nunes Silva, Mariana Belloti, Gláucia Mendes de Souza and 7 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.6field-weighted citation impact, top 8% of its field
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

9 citing papers in PubMed, 19 citations in OpenAlex.

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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

17 authors at 4 institutions in 1 country.

Danyel Fernandes ContilianiInstituto Agronômico (IAC), Centro de Cana, Ribeirão Preto, Brazil.
João Felipe Carlos de Oliveira NebóCentro de Energia Nuclear na Agricultura (CENA), Universidade de São Paulo, Piracicaba, Brazil.
Rafael Vasconcelos RibeiroLaboratory of Crop Physiology, Department of Plant Biology, Institute of Biology, University of Campinas, Campinas, Brazil.
Larissa Mara AndradeInstituto Agronômico (IAC), Centro de Cana, Ribeirão Preto, Brazil.
Rafael Fávero Peixoto JúniorInstituto Agronômico (IAC), Centro de Cana, Ribeirão Preto, Brazil.
Carolina Gimiliani LembkeDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil.
Ricardo Silverio MachadoInstituto Agronômico (IAC), Centro de Ecofisiologia e Biofísica, Campinas, Brazil.
Daniel Nunes SilvaInstituto Agronômico (IAC), Centro de Cana, Ribeirão Preto, Brazil.
Mariana BellotiCentro de Energia Nuclear na Agricultura (CENA), Universidade de São Paulo, Piracicaba, Brazil.
Gláucia Mendes de SouzaDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil.
Dilermando PerecinFaculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista Júlio de Mesquita Filho, Jaboticabal, Brazil.
Tiago Campos PereiraPrograma de Pós-Graduação em Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil.
Regina Célia de Matos PiresInstituto Agronômico (IAC), Centro de Ecofisiologia e Biofísica, Campinas, Brazil.
Patrícia Rezende FontouraJalles Machado Sugar Mill, Goianesia, Brazil.
Marcos G A LandellInstituto Agronômico (IAC), Centro de Cana, Ribeirão Preto, Brazil.
Antonio FigueiraCentro de Energia Nuclear na Agricultura (CENA), Universidade de São Paulo, Piracicaba, Brazil.
Silvana CresteInstituto Agronômico (IAC), Centro de Cana, Ribeirão Preto, Brazil. silvana.creste@sp.gov.br.
Agronomical Institute of Campinas · BRUniversidade de São Paulo · BRUniversidade Estadual de Campinas (UNICAMP) · BRUniversidade Estadual Paulista (Unesp) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drought is the most detrimental abiotic stress to sugarcane production. Nevertheless, transcriptomic analyses remain scarce for field-grown plants. Here we performed comparative transcriptional profiling of two contrasting sugarcane genotypes, 'IACSP97-7065' (drought-sensitive) and 'IACSP94-2094' (drought-tolerant) grown in a drought-prone environment. Physiological parameters and expression profiles were analyzed at 42 (May) and 117 (August) days after the last rainfall. The first sampling was done under mild drought (soil water potential of -60 kPa), while the second one was under severe drought (soil water potential of -75 kPa). Microarray analysis revealed a total of 622 differentially expressed genes in both sugarcane genotypes under mild and severe drought stress, uncovering about 250 exclusive transcripts to 'IACSP94-2094' involved in oxidoreductase activity, transcriptional regulation, metabolism of amino acids, and translation. Interestingly, the enhanced antioxidant system of 'IACSP94-2094' may protect photosystem II from oxidative damage, which partially ensures stable photochemical activity even after 117 days of water shortage. Moreover, the tolerant genotype shows a more extensive set of responsive transcription factors, promoting the fine-tuning of drought-related molecular pathways. These results help elucidate the intrinsic molecular mechanisms of a drought-tolerant sugarcane genotype to cope with ever-changing environments, including prolonged water deficit, and may be useful for plant breeding programs.

Indexed as

SaccharumDroughtsEdible GrainGene Expression ProfilingGene Expression Regulation, PlantGenotypePlant BreedingPlant LeavesSoilWaterSoilWater

Identifiers

PMID35650424
PMCPMC9160059
OpenAlexW4281660625

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.