Evidence map›Paper›PMID 41998377›Full record

ReviewCurrent microbiology2026

Recent Advances of Controllable Production of PHA Biosynthesis in Chain Length, Monomers and Special Functional Groups.

Xuan Chen, Attiqa Parveen, Yuke Qin, Yibin Yang, Qinglong Zhang, Xiaoqiang Jia

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current microbiology, 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.

Xuan Chen *Department of Biochemical Engineering, School of Synthetic Biology and Biomanufacturing, Tianjin University, Tianjin, China.
Attiqa Parveen *Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, China.
Yuke QinDepartment of Biochemical Engineering, School of Synthetic Biology and Biomanufacturing, Tianjin University, Tianjin, China.
Yibin YangDepartment of Biochemical Engineering, School of Synthetic Biology and Biomanufacturing, Tianjin University, Tianjin, China.
Qinglong ZhangDepartment of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, China.
Xiaoqiang JiaDepartment of Biochemical Engineering, School of Synthetic Biology and Biomanufacturing, Tianjin University, Tianjin, China. xqjia@tju.edu.cn.

Funding

the National Natural Science Foundation of China 22178262Tianjin Municipal Science and Technology Program 24YDTPJC00120,24JCYBJC01490
6 · The paper itself

Abstract

Realizing the full potential of polyhydroxyalkanoates (PHAs) as sustainable alternatives to conventional plastics necessitates, a fundamental transformation in biomanufacturing should be made, from the production of heterogeneous polymer mixtures to the deliberate synthesis of well-defined, tailor-made biopolymers with predictable physicochemical properties. This review delineates a comprehensive framework for achieving controllable PHA biosynthesis, where the field is evolving from a phase of empirical discovery to one of precision-driven design. It underscores the need for seamless integration of genetic engineering, enzyme evolution, and bioprocess control. We systematically analyze recent advances that enable precise regulation of polymer architecture, including control over chain-length distribution, selective monomer incorporation, and the integration of functional moieties within the polymer backbone. By synthesizing developments in genetic circuit engineering, enzyme optimization, and adaptive fermentation strategies, we highlight emerging approaches for designing PHAs with tunable mechanical and functional attributes suited for specialized, high-value applications. Finally, the review identifies persistent challenges and potentials related to scalability, purity, process integration and AI-guided enzymes design, etc., emphasizing the need for interdisciplinary collaboration to bridge the divide between metabolic precision and industrial feasibility.

Indexed as

BacteriaPolyhydroxyalkanoatesBiopolymersFermentationGenetic EngineeringMetabolic EngineeringBiopolymersPolyhydroxyalkanoates

Identifiers

What OpenQuestion 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 OpenQuestion graph.