Evidence map›Paper›PMID 40467916›Full record

ArticleCommunications biology2025

The PeachSNP170K array facilitates insights into a large-scale population relatedness and genetic impacts on citrate content and flowering time.

Yaoguang Xu, Yang Yu, Xinpeng Qi, Qi Zhang, Jiantao Guan, Zhengquan Zhang, Jianhua Wei, Hua Xie

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications biology, 2025. 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.

Yaoguang Xu *Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences/Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology/Beijing Key Laboratory of Crop Molecular Design and Intelligent Breeding, Beijing, 100097, China.
Yang Yu *Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences/Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology/Beijing Key Laboratory of Crop Molecular Design and Intelligent Breeding, Beijing, 100097, China.
Xinpeng Qi *Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences/Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology/Beijing Key Laboratory of Crop Molecular Design and Intelligent Breeding, Beijing, 100097, China.
Qi ZhangInstitute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences/Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology/Beijing Key Laboratory of Crop Molecular Design and Intelligent Breeding, Beijing, 100097, China.
Jiantao GuanInstitute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences/Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology/Beijing Key Laboratory of Crop Molecular Design and Intelligent Breeding, Beijing, 100097, China.
Zhengquan ZhangInstitute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences/Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology/Beijing Key Laboratory of Crop Molecular Design and Intelligent Breeding, Beijing, 100097, China.
Jianhua WeiInstitute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences/Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology/Beijing Key Laboratory of Crop Molecular Design and Intelligent Breeding, Beijing, 100097, China. weijianhua@baafs.net.cn.ORCID http://orcid.org/0000-0002-8771-7447
Hua XieInstitute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences/Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology/Beijing Key Laboratory of Crop Molecular Design and Intelligent Breeding, Beijing, 100097, China. xiehua@baafs.net.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peach (Prunus persica), a model species in the Rosaceae family and a globally significant temperate fruit, requires advanced genotyping tools to accelerate genomics-assisted breeding. To address this need, we developed the PeachSNP170K array and genotyped 489 peach accessions, generating a high-resolution SNP-based kinship framework that surpasses the limitations of traditional pedigree analysis. This approach enabled the identification of genomic regions underlying key phenotypic variations. Genome-wide association studies (GWAS) uncovered 1202 SNPs linked to sugar and acid content, as well as flowering time, including identified loci associated with citrate content and flowering time. Notably, we identified PpNHX1 (sodium/proton antiporter 1) within a citrate-associated locus, which influences citrate accumulation in peach fruit. Additionally, haplotype analysis revealed a highly selected haplotype, Hap3, within a major flowering-time locus, contributing to low-latitude adaptation. These findings establish the PeachSNP170K array as a powerful tool for high-throughput genomic analysis, providing valuable resources for peach research and breeding.

Indexed as

Citric AcidFlowersPolymorphism, Single NucleotidePrunus persicaGenome-Wide Association StudyGenotypeHaplotypesPhenotypeCitric Acid

Identifiers

PMID40467916
PMCPMC12137643

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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.