Evidence map›Paper›PMID 42592876›Full record

ArticlePlant biotechnology journal2026

In Planta Expression of Thermophilic GtGBE Mimics BEIIb and Modifies Rice Starch Structure Without Yield Penalties.

Feifei Xu, Jianming Pan, Meng Li, Xinyu Li, Jiayuan Chang, Wenjia Fu, Kaiwen Gu, Jinsong Bao

Abstract read
In one paragraph

Article in Plant biotechnology journal, 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

8 authors.

Feifei XuKey Laboratory of Nuclear Agricultural Sciences of Ministry of Agriculture and Rural Affairs, Institute of Nuclear Agricultural Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Jianming PanKey Laboratory of Nuclear Agricultural Sciences of Ministry of Agriculture and Rural Affairs, Institute of Nuclear Agricultural Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Meng LiKey Laboratory of Nuclear Agricultural Sciences of Ministry of Agriculture and Rural Affairs, Institute of Nuclear Agricultural Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Xinyu LiKey Laboratory of Nuclear Agricultural Sciences of Ministry of Agriculture and Rural Affairs, Institute of Nuclear Agricultural Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Jiayuan ChangKey Laboratory of Nuclear Agricultural Sciences of Ministry of Agriculture and Rural Affairs, Institute of Nuclear Agricultural Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Wenjia FuKey Laboratory of Nuclear Agricultural Sciences of Ministry of Agriculture and Rural Affairs, Institute of Nuclear Agricultural Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Kaiwen GuKey Laboratory of Nuclear Agricultural Sciences of Ministry of Agriculture and Rural Affairs, Institute of Nuclear Agricultural Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Jinsong BaoKey Laboratory of Nuclear Agricultural Sciences of Ministry of Agriculture and Rural Affairs, Institute of Nuclear Agricultural Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-9606-6615

Funding

Hainan Provincial Natural Science Foundation of China 326ZD1002Natural Science Foundation of Zhejiang Province LY24C130002
6 · The paper itself

Abstract

Enzymatic modification using glycosyltransferases offers a green route to produce highly branched starch to enhance starch functionality in the food industry, yet this approach faces challenges including the high cost of enzyme production and inefficiency. Here, we developed a viable in planta strategy by heterologously expressing an α-glucan branching enzyme (GBE) from Geobacillus thermoglucosidans STB02 (GtGBE) in rice, aiming to tailor starch branching structures directly in a living plant system. Several independent transgenic lines were generated, expressing the GtGBE gene under the control of either the endosperm-specific rice starch branching enzyme IIb (BEIIb) promoter (pBEIIb) or the constitutive maize Ubiquitin promoter (pUbi). GtGBE generated distinct promoter-dependent branching patterns. The pBEIIb-driven construct partially recapitulated BEI-deficient-like profiles through the combined effect of downregulated endogenous BEI and relatively low GtGBE expression levels. In contrast, the pUbi-driven construct enhanced BEIIb-like activity through sustained high GtGBE accumulation and upregulation of endogenous BEIIb. Both strategies increased short amylopectin chains at the expense of intermediate/long chains and amylose, resulting in decreased relative crystallinity, apparent amylose content, gelatinization temperatures, and peak viscosity, alongside improved retrogradation resistance and rheological properties. Notably, GtGBE expression driven by the BEIIb promoter showed greater stability under heat stress. Moreover, pUbi-GtGBE transgenic lines exhibited a significant increase in 1000-grain weight and filled grain number per panicle without compromising other agronomic traits, highlighting the dual potential of this strategy for agricultural and industrial applications. This work establishes GtGBE as an effective molecular tool for the direct and tailored bioengineering of starch in a living plant system.

Indexed as

branching enzymeenzymatic modificationGtGBEin plantastarch

Identifiers

PMID42592876
PMCPMC13470957

What Socratic holds

Textmetadata
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.