Evidence map›Paper›PMID 39302547›Full record

ArticleStress biology2024

Deciphering the roles of bacterial and fungal communities in the formation and quality of agarwood.

Chen-Chen Fu, Bao-Xing Huang, Shan-Shan Wang, Yu-Chen Song, Dolkar Metok, Yu-Xiang Tan, Tai-Ping Fan, Alisdair R Fernie, Meisam Zargar, Yan Wang and 3 more

Abstract read
In one paragraph

Article in Stress biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  5. Review
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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

13 authors.

Chen-Chen Fu *State Key Laboratory of Tree Genetics and Breeding, the Southern Modern Forestry Collaborative Innovation Center, Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Life Sciences, Nanjing Forestry University, Nanjing, 210037, China.
Bao-Xing Huang *Clinical Laboratory, Shenzhen Children's Hospital, Shenzhen, 518000, China.
Shan-Shan Wang *Guangdong Province Key Laboratory for Biotechnology Drug Candidates, Institute of Basic Medical Sciences and Department of Biotechnology, School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, 510006, China.
Yu-Chen SongState Key Laboratory of Tree Genetics and Breeding, the Southern Modern Forestry Collaborative Innovation Center, Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Life Sciences, Nanjing Forestry University, Nanjing, 210037, China.
Dolkar MetokState Key Laboratory of Tree Genetics and Breeding, the Southern Modern Forestry Collaborative Innovation Center, Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Life Sciences, Nanjing Forestry University, Nanjing, 210037, China.
Yu-Xiang TanCAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Tai-Ping FanDepartment of Pharmacology, University of Cambridge, Cambridge, UK.
Alisdair R FernieMax Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam-Golm, Germany.
Meisam ZargarDepartment of Agrobiotechnology, Institute of Agriculture, RUDN University, 117198, Moscow, Russia.
Yan WangState Key Laboratory of Tree Genetics and Breeding, the Southern Modern Forestry Collaborative Innovation Center, Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Life Sciences, Nanjing Forestry University, Nanjing, 210037, China.
Mo-Xian ChenState Key Laboratory of Tree Genetics and Breeding, the Southern Modern Forestry Collaborative Innovation Center, Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Life Sciences, Nanjing Forestry University, Nanjing, 210037, China. cmx2009920734@gmail.com.
Liang-Wen YuDongguan Institute of Guangzhou University of Chinese Medicine, Dongguan Institute of Guangzhou University of Chinese Medicine, Dongguan, 523808, China. fisherman@gzucm.edu.cn.
Fu-Yuan ZhuState Key Laboratory of Tree Genetics and Breeding, the Southern Modern Forestry Collaborative Innovation Center, Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Life Sciences, Nanjing Forestry University, Nanjing, 210037, China. fyzhu@njfu.edu.cn.

Funding

Jiangsu Agricultural Science and Technology Innovation Fund CX(21)2023
6 · The paper itself

Abstract

Aquilaria sinensis is a significant resin-producing plant worldwide that is crucial for agarwood production. Agarwood has different qualities depending on the method with which it is formed, and the microbial community structures that are present during these methods are also diverse. Furthermore, the microbial communities of plants play crucial roles in determining their health and productivity. While previous studies have investigated the impact of microorganisms on agarwood formation, they lack comprehensiveness, particularly regarding the properties of the microbial community throughout the entire process from seedling to adult to incense formation. We collected roots, stems, leaves, flowers, fruits and other tissues from seedlings, healthy plants and agarwood-producing plants to address this gap and assess the dominant bacterial species in the microbial community structures of A. sinensis at different growth stages and their impacts on growth and agarwood formation. The bacteria and fungi in these tissues were classified and counted from different perspectives. The samples were sequenced using the Illumina sequencing platform, and sequence analyses and species annotations were performed using a range of bioinformatics tools to assess the plant community compositions. An additional comparison of the samples was conducted using diversity analyses to assess their differences. This research revealed that Listeria, Kurtzmanomyces, Ascotaiwania, Acinetobacter, Sphingobium, Fonsecaea, Acrocalymma, Allorhizobium, Bacillus, Pseudomonas, Peethambara, and Debaryomyces are potentially associated with the formation of agarwood. Overall, the data provided in this article help us understand the important roles played by bacteria and fungi in the growth and agarwood formation process of A. sinensis, will support the theoretical basis for the large-scale cultivation of A. sinensis, and provide a basis for further research on microbial community applications in agarwood production and beyond.

Indexed as

Aquilaria sinensisBacteriaEndophyticExophyticFungiPlant tissue

Identifiers

PMID39302547
PMCPMC11415328

What Socratic holds

Textmetadata
LicenceCC BY
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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.