Evidence map›Paper›PMID 35646842›Full record

ReviewFrontiers in bioengineering and biotechnology2022

Recent Progress on Systems and Synthetic Biology of Diatoms for Improving Algal Productivity.

Jiwei Chen, Yifan Huang, Yuexuan Shu, Xiaoyue Hu, Di Wu, Hangjin Jiang, Kui Wang, Weihua Liu, Weiqi Fu

Abstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

9 authors.

Jiwei ChenDepartment of Marine Science, Ocean College, Zhejiang University, Hangzhou, China.
Yifan HuangDepartment of Marine Science, Ocean College, Zhejiang University, Hangzhou, China.
Yuexuan ShuDepartment of Marine Science, Ocean College, Zhejiang University, Hangzhou, China.
Xiaoyue HuCenter for Data Science, Zhejiang University, Hangzhou, China.
Di WuDepartment of Marine Science, Ocean College, Zhejiang University, Hangzhou, China.
Hangjin JiangCenter for Data Science, Zhejiang University, Hangzhou, China.
Kui WangDepartment of Marine Science, Ocean College, Zhejiang University, Hangzhou, China.
Weihua LiuSchool of Mathematical Sciences, Zhejiang University, Hangzhou, China.
Weiqi FuDepartment of Marine Science, Ocean College, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microalgae have drawn much attention for their potential applications as a sustainable source for developing bioactive compounds, functional foods, feeds, and biofuels. Diatoms, as one major group of microalgae with high yields and strong adaptability to the environment, have shown advantages in developing photosynthetic cell factories to produce value-added compounds, including heterologous bioactive products. However, the commercialization of diatoms has encountered several obstacles that limit the potential mass production, such as the limitation of algal productivity and low photosynthetic efficiency. In recent years, systems and synthetic biology have dramatically improved the efficiency of diatom cell factories. In this review, we discussed first the genome sequencing and genome-scale metabolic models (GEMs) of diatoms. Then, approaches to optimizing photosynthetic efficiency are introduced with a focus on the enhancement of biomass productivity in diatoms. We also reviewed genome engineering technologies, including CRISPR (clustered regularly interspaced short palindromic repeats) gene-editing to produce bioactive compounds in diatoms. Finally, we summarized the recent progress on the diatom cell factory for producing heterologous compounds through genome engineering to introduce foreign genes into host diatoms. This review also pinpointed the bottlenecks in algal engineering development and provided critical insights into the future direction of algal production.

Indexed as

biomass productivitydiatomsmicroalgaephotosynthesissynthetic biologysystems biology

Identifiers

PMID35646842
PMCPMC9136054

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.