Evidence map›Paper›PMID 42041906›Full record

ReviewBiology2026

Genomics-Driven Mulberry Breeding for Improving Agronomic Traits and Circular Utilization Value.

Yanmei Wang, Chenfeng Yang, Xiaofeng Li, Ruojin Liu, Shuaishuai Huang, Yonghong Zhou

Abstract readReview
In one paragraph

Review in Biology, 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

6 authors.

Yanmei WangKey Laboratory of Biodiversity and Environment on the Qinghai-Tibetan Plateau, Ministry of Education, Xizang University, Lhasa 850000, China.
Chenfeng YangKey Laboratory of Biodiversity and Environment on the Qinghai-Tibetan Plateau, Ministry of Education, Xizang University, Lhasa 850000, China.
Xiaofeng LiKey Laboratory of Biodiversity and Environment on the Qinghai-Tibetan Plateau, Ministry of Education, Xizang University, Lhasa 850000, China.
Ruojin LiuKey Laboratory of Biodiversity and Environment on the Qinghai-Tibetan Plateau, Ministry of Education, Xizang University, Lhasa 850000, China.
Shuaishuai HuangKey Laboratory of Biodiversity and Environment on the Qinghai-Tibetan Plateau, Ministry of Education, Xizang University, Lhasa 850000, China.ORCID 0009-0002-1062-0134
Yonghong ZhouKey Laboratory of Biodiversity and Environment on the Qinghai-Tibetan Plateau, Ministry of Education, Xizang University, Lhasa 850000, China.ORCID 0000-0002-2663-1885

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review systematically summarizes the history of and recent progress in mulberry research, with particular emphasis on advances in mulberry genomics and its role in modern breeding and the circular bioeconomy. Studies on whole-genome sequencing, high-density genetic mapping, and comparative genomics are reviewed. In addition, strategies for identifying functional genes associated with stress resistance, quality traits, and metabolic pathways are summarized. Building on these advances, the applications of genome editing, marker-assisted selection, and multi-omics-integrated breeding for improving stress resistance in mulberry are discussed. Current evidence indicates that developments in genomics have significantly shortened the mulberry breeding cycle, improved selection precision, and enhanced breeding efficiency while also providing molecular support for the development of a mulberry-based circular bioeconomy chain. In recent years, substantial progress has been achieved in mulberry genomics research. However, as an allopolyploid plant, the complexity of the mulberry genome continues to pose challenges for in-depth genomic analysis. Current limitations include incomplete reference genomes, insufficient functional annotation, and complex genetic backgrounds that hinder further genomic dissection. To address these challenges, strategies such as multi-omics integration, optimization of emerging genome-editing technologies, and diversified application models are proposed. These approaches aim to promote high-quality precision breeding and strengthen the integration of mulberry improvement with the circular bioeconomy, thereby maximizing the utilization and application value of mulberry resources.

Indexed as

breeding technologiescircular utilizationmulberry genomicsmulti-omicsstress resistance

Identifiers

PMID42041906
PMCPMC13112956

What OpenQuestion holds

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Registered trials

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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.