Evidence map›Paper›PMID 39766825›Full record

ArticleGenes2024

Transcriptomic Characterization of Genes Harboring Markers Linked to Maize Yield.

Agnieszka Tomkowiak, Tomasz Jamruszka, Jan Bocianowski, Aleksandra Sobiech, Karolina Jarzyniak, Maciej Lenort, Sylwia Mikołajczyk, Monika Żurek

Abstract read
In one paragraph

Article in Genes, 2024. 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. Article
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.

Agnieszka TomkowiakDepartment of Genetics and Plant Breeding, Poznań University of Life Sciences, Dojazd 11, 60-632 Poznań, Poland.ORCID 0000-0001-9516-8911
Tomasz JamruszkaDepartment of Genetics and Plant Breeding, Poznań University of Life Sciences, Dojazd 11, 60-632 Poznań, Poland.ORCID 0000-0003-4445-5624
Jan BocianowskiDepartment of Mathematical and Statistical Methods, Poznań University of Life Sciences, Wojska Polskiego 28, 60-637 Poznań, Poland.ORCID 0000-0002-0102-0084
Aleksandra SobiechDepartment of Genetics and Plant Breeding, Poznań University of Life Sciences, Dojazd 11, 60-632 Poznań, Poland.ORCID 0000-0003-4212-4725
Karolina JarzyniakDepartment of Biochemistry and Biotechnology, Poznań University of Life Sciences, Dojazd 11, 60-632 Poznań, Poland.ORCID 0000-0002-9535-7306
Maciej LenortDepartment of Genetics and Plant Breeding, Poznań University of Life Sciences, Dojazd 11, 60-632 Poznań, Poland.
Sylwia MikołajczykDepartment of Genetics and Plant Breeding, Poznań University of Life Sciences, Dojazd 11, 60-632 Poznań, Poland.ORCID 0000-0003-2480-855X
Monika ŻurekPlant Breeding and Acclimatization Institute-National Research Institute, Radzików, 05-870 Błonie, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is currently believed that breeding priorities, including maize breeding, should focus on introducing varieties with greater utility value, specifically higher yields, into production. Global modern maize breeding relies on various molecular genetics techniques. Using the above mentioned technologies, we can identify regions of the genome that are associated with various phenotypic traits, including yield, which is of fundamental importance for understanding and manipulating these regions.

objectivesThe aim of the study was to analyze the expression of candidate genes associated with maize yield. To better understand the function of the analyzed genes in increasing maize yield, their expression in different organs and tissues was also assessed using publicly available transcriptome data.

methodsRT-qPCR analyses were performed using iTaq Universal SYBR Green Supermix (Bio-Rad, Hercules, CA, USA) and CFX96 Touch Real-Time PCR Detection System (Bio-Rad, Hercules, CA, USA). Each of the performed RT-qPCR experiments consisted of three biological replicates and three technical replicates, the results of which were averaged.

resultsThe research results allowed us to select three out of six candidate genes (

Indexed as

TranscriptomeZea maysGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantGenetic MarkersPhenotypePlant BreedingPlant ProteinsGenetic MarkersPlant Proteinscandidate genesmaizenext-generation sequencingPCRqPCRyield

Identifiers

PMID39766825
PMCPMC11675883

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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.