Evidence map›Paper›PMID 42488437›Full record

ReviewFrontiers in plant science2026

Inbreeding depression in diploid potato: genetic basis, deleterious load, and breeding mitigation.

Yiqian Wang, Tuanrong Lin, Wei Wang, Yufeng Wang, Longqiu Fan, Wenjuan Huang, Xinlei Jiao, Zhen Wang, Haolei Wu, Xiaojie Zong and 6 more

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Yiqian Wang *Ulanqab Academy of Agriculture and Forestry Sciences, Inner Mongolia Potato Technology Innovation Center, Ulanqab, Inner Mongolia, China.
Tuanrong Lin *Ulanqab Academy of Agriculture and Forestry Sciences, Inner Mongolia Potato Technology Innovation Center, Ulanqab, Inner Mongolia, China.
Wei WangUlanqab Academy of Agriculture and Forestry Sciences, Inner Mongolia Potato Technology Innovation Center, Ulanqab, Inner Mongolia, China.
Yufeng WangUlanqab Academy of Agriculture and Forestry Sciences, Inner Mongolia Potato Technology Innovation Center, Ulanqab, Inner Mongolia, China.
Longqiu FanUlanqab Academy of Agriculture and Forestry Sciences, Inner Mongolia Potato Technology Innovation Center, Ulanqab, Inner Mongolia, China.
Wenjuan HuangUlanqab Academy of Agriculture and Forestry Sciences, Inner Mongolia Potato Technology Innovation Center, Ulanqab, Inner Mongolia, China.
Xinlei JiaoUlanqab Academy of Agriculture and Forestry Sciences, Inner Mongolia Potato Technology Innovation Center, Ulanqab, Inner Mongolia, China.
Zhen WangUlanqab Academy of Agriculture and Forestry Sciences, Inner Mongolia Potato Technology Innovation Center, Ulanqab, Inner Mongolia, China.
Haolei WuUlanqab Academy of Agriculture and Forestry Sciences, Inner Mongolia Potato Technology Innovation Center, Ulanqab, Inner Mongolia, China.
Xiaojie ZongUlanqab Academy of Agriculture and Forestry Sciences, Inner Mongolia Potato Technology Innovation Center, Ulanqab, Inner Mongolia, China.
Anke ZhengUlanqab Academy of Agriculture and Forestry Sciences, Inner Mongolia Potato Technology Innovation Center, Ulanqab, Inner Mongolia, China.
Fan YangUlanqab Academy of Agriculture and Forestry Sciences, Inner Mongolia Potato Technology Innovation Center, Ulanqab, Inner Mongolia, China.
Bingxue ZhangUlanqab Academy of Agriculture and Forestry Sciences, Inner Mongolia Potato Technology Innovation Center, Ulanqab, Inner Mongolia, China.
Jie YuUlanqab Academy of Agriculture and Forestry Sciences, Inner Mongolia Potato Technology Innovation Center, Ulanqab, Inner Mongolia, China.
Junzhi ChenForestry Workstation, Forestry and Grassland Administration of Ulanqab City, Ulanqab, Inner Mongolia, China.
Yuhe YinUlanqab Academy of Agriculture and Forestry Sciences, Inner Mongolia Potato Technology Innovation Center, Ulanqab, Inner Mongolia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of diploid hybrid potato derived from traditional tetraploid clonal cultivars is a key breakthrough for modern potato breeding. However, severe inbreeding depression severely restricts the breeding and application of homozygous inbred lines. This narrative review systematically elaborates the phenotypic characteristics of inbreeding depression in diploid potato, and explores the accumulation mechanism of deleterious load driven by long-term clonal propagation and polyploid genetic buffering. Continuous selfing elevates genome-wide homozygosity, which exposes recessive deleterious variants and further causes comprehensive declines in plant vigor, reproductive capacity, tuber yield, tuber quality and stress tolerance. We then summarize multiple quantitative evaluation systems for inbreeding depression and genetic load, and sort out a series of targeted breeding interventions, including genomic prediction, marker-assisted selection, CRISPR-Cas9 genome editing and hybrid complementation. Each technical strategy is discussed with explicit discussion of its practical limitations. Finally, we discuss the research prospects of genome design breeding for purging deleterious variants, and distinguish laboratory research progress from large-scale industrial application. This review establishes an explicit logical framework linking deleterious load, genomic homozygosity, phenotypic deterioration and breeding strategies, and provides theoretical references for the innovation of diploid potato inbred line breeding.

Indexed as

deleterious loaddiploid potatohybrid breedinginbreeding depressionstructural variation

Identifiers

PMID42488437
PMCPMC13389961

What OpenQuestion holds

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LicenceCC BY
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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.