Evidence map›Paper›PMID 34411180›Full record

SynthesisPloS one2021

Meta-analysis of QTLs associated with popping traits in maize (Zea mays L.).

Sukhdeep Kaur, Sujay Rakshit, Mukesh Choudhary, Abhijit Kumar Das, Ranjeet Ranjan Kumar

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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  19. Meta-QTL analysis and candidate genes identification for various abiotic stresses in maize (Molecular breeding : new strategies in plant improvement · 2022
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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

5 authors at 3 institutions in 1 country.

Sukhdeep KaurDepartment of Plant Breeding & Genetics, Punjab Agricultural University, Ludhiana, India.
Sujay RakshitICAR-Indian Institute of Maize Research, PAU Campus, Ludhiana, India.ORCID 0000-0001-6139-7943
Mukesh ChoudharyICAR-Indian Institute of Maize Research, PAU Campus, Ludhiana, India.
Abhijit Kumar DasICAR-Indian Institute of Maize Research, PAU Campus, Ludhiana, India.
Ranjeet Ranjan KumarDivision of Biochemistry, Indian Agricultural Research Institute, Pusa, New Delhi, India.
ICAR-Indian Institute of Maize Research · INIndian Agricultural Research Institute · INPunjab Agricultural University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rising demand for popcorn necessitates improving the popping quality with higher yield of popcorn cultivars. Towards this direction several Quantitative Traits Loci (QTLs) for popping traits have been identified. However, identification of accurate and consistent QTLs across different genetic backgrounds and environments is necessary to effectively utilize the identified QTLs in marker-assisted breeding. In the current study, 99 QTLs related to popping traits reported in 8 different studies were assembled and projected on the reference map "Genetic 2005" using BioMercator v4.2 to identify metaQTLs with consistent QTLs. Total ten metaQTLs were identified on chromosome 1 (7 metaQTLs) and 6 (3 metaQTLs) with physical distance ranging between 0.43 and 12.75 Mb, respectively. Four identified metaQTLs, viz., mQTL1_1, mQTL1_5, mQTL1_7 and mQTL6_2 harboured 5-8 QTL clusters with moderately high R2 value. The clustered QTLs were from two or more experiments. Based on the expression pattern in endosperm and pericarp tissues, a total of 229 genes were selected. Nineteen of these genes are involved in carbohydrate metabolism. Of the 19 genes specifically involved in carbohydrate metabolism, 11 of them were in these regions, implying the importance of these clustered QTLs. MetaQTL1_1 at bin location 1.01 coincided with the reported QTLs related to various agronomic traits like stalk diameter, tassel length, leaf area and plant height. The identified metaQTLs can be further explored for fine mapping and candidate gene identification, which can be validated by loss or gain of function. Identified metaQTLs can be used for introgression of popping traits towards enhancing the popping ability.

Indexed as

Chromosome MappingQuantitative Trait LociZea maysChromosomes, PlantPhenotypePlant Breeding

Identifiers

PMID34411180
PMCPMC8376040
OpenAlexW3194828042

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.