Evidence map›Paper›PMID 39415969›Full record

ArticleHorticulture research2024

Genome-wide association study identifies the genetic basis of key agronomic traits in 207 sugar beet accessions.

Sufang Wang, Zhiyong Yue, Chao Yu, Ruili Wang, Yang Sui, Yaguang Hou, Ying Zhao, Lingling Zhao, Chunmei Chen, Zhimin Yang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Horticulture research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Orchid genome evolution and trait innovation.Journal of integrative plant biology · 2026
    Review
  3. 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

11 authors.

Sufang WangInner Mongolia Academy of Science and Technology, Hohhot , Inner Mongolia, 010000, China.ORCID https://orcid.org/0000-0002-7691-9895
Zhiyong YueCollege of Medicine, Xi'an International University, Xi'an 710077, China.
Chao YuInner Mongolia Academy of Science and Technology, Hohhot , Inner Mongolia, 010000, China.
Ruili WangInner Mongolia Academy of Science and Technology, Hohhot , Inner Mongolia, 010000, China.
Yang SuiInner Mongolia Academy of Science and Technology, Hohhot , Inner Mongolia, 010000, China.
Yaguang HouInner Mongolia Academy of Science and Technology, Hohhot , Inner Mongolia, 010000, China.
Ying ZhaoInner Mongolia Academy of Science and Technology, Hohhot , Inner Mongolia, 010000, China.
Lingling ZhaoInner Mongolia Academy of Science and Technology, Hohhot , Inner Mongolia, 010000, China.
Chunmei ChenInner Mongolia Academy of Science and Technology, Hohhot , Inner Mongolia, 010000, China.
Zhimin YangInner Mongolia Academy of Science and Technology, Hohhot , Inner Mongolia, 010000, China.
Ke ShaoInner Mongolia Academy of Science and Technology, Hohhot , Inner Mongolia, 010000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sugar beet (Beta vulgaris) has emerged as one of the two primary crops, alongside sugarcane, for global sugar production. Comprehensively understanding sucrose synthesis, transport, and accumulation in sugar beet holds great significance for enhancing sugar production. In this study, we collected a diverse set of 269 sugar beet accessions worldwide and measured 12 phenotypes, comprising biomass, soluble sugar content, and 10 taproot-related traits. We re-sequenced 207 accessions to explore genetic diversity and population structure. Then we employed a genome-wide association study (GWAS) and RNA-seq to identify single-nucleotide polymorphisms and genes associated with natural phenotypic variations. Our findings revealed a panel of genes potentially regulating biomass and sugar accumulation, notably the dual-role gene

Identifiers

PMID39415969
PMCPMC11481341

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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.