Evidence map›Paper›PMID 41907069›Full record

ReviewFrontiers in genome editing2026

Harnessing myostatin pleiotropy for multitrait improvement via precision gene editing.

Yajun Chen, Ruiyao Yang, Yucai Yang, Qianguang Wang, Kai Yang, Man Xu

Abstract readReview
In one paragraph

Review in Frontiers in genome editing, 2026. 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

6 authors.

Yajun ChenChangde Vocational and Technical College, Changde, Hunan, China.
Ruiyao YangYunnan Haorui Agricultural Development Co., Ltd., Kunming, Yunnan, China.
Yucai YangYunnan Haorui Agricultural Development Co., Ltd., Kunming, Yunnan, China.
Qianguang WangChangde Vocational and Technical College, Changde, Hunan, China.
Kai YangYunnan Academy of Grassland and Animal Science, Kunming, China.
Man XuChangde Vocational and Technical College, Changde, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pursuit of sustainable livestock farming to meet the rising global protein demand has positioned myostatin (MSTN) gene editing as a key technology. However, the field's focus on the remarkable double-muscle phenotype has often overshadowed a systematic examination of its concomitant effects. The present review aims to bridge this gap by moving beyond a singular focus on productivity. First, the pleiotropic effects of MSTN gene editing on growth performance, carcass quality, and meat quality in cattle, swine, sheep, poultry, and aquatic species were comprehensively evaluated. Next, the cascading biological effects of MSTN editing on metabolic homeostasis, reproductive performance, and animal health and welfare werAAe analyzed in depth. Finally, the inherent limitations and ethical issues of current editing techniques were critically discussed, and future sustainable breeding programs aimed at balanced multitrait regulation were prospectively proposed. Ultimately, this review affirms that MSTN editing has a multiplicative effect on trait alterations; however, there is also a series of associated health challenges, which demonstrates that the technology's impact is systemic, generating a spectrum of trade-offs that are often species specific. Its responsible application therefore hinges on multitrait balancing strategies to simultaneously secure productivity and sustainability in animal agriculture.

Indexed as

CRISPR/Cas9gene editingMSTNpleiotropysustainable breeding

Identifiers

PMID41907069
PMCPMC13018111

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.