Evidence map›Paper›PMID 41165980›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Gene Discovery in Reproduction: RNA-seq Analysis of Isolated Pistils from Apomictic and Sexual Eragrostis curvula.

Juan Pablo Selva, José Carballo, Diego Zappacosta, Viviana Echenique

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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Juan Pablo SelvaCentro de Recursos Naturales Renovables de la Zona Semiárida (CCT CONICET Bahía Blanca) and Departamento de Agronomía, Universidad Nacional del Sur, Buenos Bahía Blanca, Buenos Aires, Argentina.
José CarballoCentro de Recursos Naturales Renovables de la Zona Semiárida (CCT CONICET Bahía Blanca) and Departamento de Agronomía, Universidad Nacional del Sur, Buenos Bahía Blanca, Buenos Aires, Argentina.
Diego ZappacostaCentro de Recursos Naturales Renovables de la Zona Semiárida (CCT CONICET Bahía Blanca) and Departamento de Agronomía, Universidad Nacional del Sur, Buenos Bahía Blanca, Buenos Aires, Argentina.
Viviana EcheniqueCentro de Recursos Naturales Renovables de la Zona Semiárida (CCT CONICET Bahía Blanca) and Departamento de Agronomía, Universidad Nacional del Sur, Buenos Bahía Blanca, Buenos Aires, Argentina. echeniq@cerzos-conicet.gob.ar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This protocol describes a comprehensive approach to analyze the differential expression of genes in pistils at distinct developmental stages from sexual and apomictic genotypes of Eragrostis curvula. It integrates the development of reproductive calendars, methods for pistil isolation, and techniques for extracting high-quality RNA from limited tissue quantities. This protocol includes detailed steps for inflorescence collection, measurements and clarification of reproductive tissues, as well as the use of differential interference contrast (DIC) microscopy to ensure precise identification of developmental stages. Additionally, the methodology outlines the bioinformatics pipelines used to analyze gene expression patterns, providing insights into the molecular mechanisms underlying apomixis. This approach addresses key challenges, such as small tissue size and mixed developmental stages, offering a reliable framework for transcriptomic studies in E. curvula.

Indexed as

ApomixisFlowersRNA-SeqComputational BiologyGene Expression ProfilingGene Expression Regulation, PlantReproductionTranscriptomeGene expressionPistilsPoaceaeReproductive mode

Identifiers

What OpenQuestion holds

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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.