Evidence map›Paper›PMID 37144681›Full record

SynthesisThe plant genome2023

Consensus genomic regions for grain quality traits in wheat revealed by Meta-QTL analysis and in silico transcriptome integration.

Na Li, Yongping Miao, Jingfu Ma, Peipei Zhang, Tao Chen, Yuan Liu, Zhuo Che, Fahimeh Shahinnia, Delong Yang

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in The plant genome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 5 pooled it
11.9field-weighted citation impact, top 2% 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

16 citing papers in PubMed, 5 syntheses or guidelines pooled it, 28 citations in OpenAlex.

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  16. Meta-QTL analysis in wheat: progress, challenges and opportunities.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Review
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

9 authors at 2 institutions in 2 countries.

Na LiState Key Laboratory of Aridland Crop Science, Gansu, China.ORCID 0000-0001-9564-0534
Yongping MiaoState Key Laboratory of Aridland Crop Science, Gansu, China.
Jingfu MaState Key Laboratory of Aridland Crop Science, Gansu, China.
Peipei ZhangState Key Laboratory of Aridland Crop Science, Gansu, China.
Tao ChenState Key Laboratory of Aridland Crop Science, Gansu, China.
Yuan LiuState Key Laboratory of Aridland Crop Science, Gansu, China.
Zhuo ChePlant Seed Master Station of Gansu Province, Gansu, China.
Fahimeh ShahinniaInstitute for Crop Science and Plant Breeding, Bavarian State Research Centre for Agriculture, Freising, Germany.
Delong YangState Key Laboratory of Aridland Crop Science, Gansu, China.
Gansu Agricultural University · CNBavarian State Research Center for Agriculture · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grain quality traits are the key factors that determine the economic value of wheat and are largely influenced by genetics and the environment. In this study, using a meta-analysis of quantitative trait loci (QTLs) and a comprehensive in silico transcriptome assessment, we identified key genomic regions and putative candidate genes for the grain quality traits protein content, gluten content, and test weight. A total of 508 original QTLs were collected from 41 articles on QTL mapping for the three quality traits in wheat published from 2003 to 2021. When these original QTLs were projected onto a high-density consensus map consisting of 14,548 markers, 313 QTLs resulted in the identification of 64 MQTLs distributed across 17 of the 21 chromosomes. Most of the meta-QTLs (MQTLs) were distributed on sub-genomes A and B. Compared with the original QTLs, the confidence interval (CI) of the MQTLs was smaller, with an average CI of 4.47 cM, while the projected QTLs CI was 11.13 cM (2.49-fold lower). The corresponding physical length of the MQTL ranged from 0.45 to 239.01 Mb. Thirty-one of these 64 MQTLs were validated in at least one genome-wide association study. In addition, five of the 64 MQTLs were selected and designated as core MQTLs. The 211 quality-related genes from rice were used to identify wheat homologs in MQTLs. In combination with transcriptional and omics analyses, 135 putative candidate genes were identified from 64 MQTL regions. The findings should contribute to a better understanding of the molecular genetic mechanisms underlying grain quality and the improvement of these traits in wheat breeding.

Indexed as

Quantitative Trait LociTriticumConsensus SequenceEdible GrainGenome-Wide Association StudyGenomicsPlant BreedingTranscriptome

Identifiers

PMID37144681
PMCPMC12807087
OpenAlexW4372330628

What OpenQuestion holds

Textmetadata
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.