IDEAS home Printed from https://ideas.repec.org/a/spr/ssefpa/v16y2024i6d10.1007_s12571-024-01499-0.html
   My bibliography  Save this article

Assessment of wheat grain quality in China during harvest and storage using a mycobiome approach

Author

Listed:
  • Zhihui Qi

    (Academy of National Food and Strategic Reserves Administration
    National Engineering Research Center of Grain Storage and Logistics)

  • Xin Zhou

    (State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences
    College of Life Science, University of Chinese Academy of Sciences)

  • Lin Tian

    (Academy of National Food and Strategic Reserves Administration
    National Engineering Research Center of Grain Storage and Logistics)

  • Haiyang Zhang

    (Academy of National Food and Strategic Reserves Administration
    National Engineering Research Center of Grain Storage and Logistics)

  • Yuqing Lei

    (Academy of National Food and Strategic Reserves Administration
    National Engineering Research Center of Grain Storage and Logistics)

  • Fang Tang

    (Academy of National Food and Strategic Reserves Administration
    National Engineering Research Center of Grain Storage and Logistics)

Abstract

Fungal activity in stored wheat grains can lead to quality deterioration, especially in the form of mycotoxin accumulation. This study proposes an approach for assessing wheat quality by analyzing the wheat grain mycobiome using high-throughput sequencing technology. Wheat grain samples were collected from China's major production areas during both the harvest and storage stages to investigate the temporal and spatial trends in fungal distribution. The results revealed significant differences in the fungal diversity and communities during different stages of wheat processing, with a more complex fungal co-occurrence network in stored wheat than in harvested wheat. Aspergillus was the keystone taxon in the network of the stored wheat mycobiome. It was assigned to the “Unspecified_saprotroph” group and was found to contribute significantly to the differences in fungal community structure between harvested and stored wheat. We also constructed a Random Forest (RF) model to predict the freshness of the wheat grains. The RF model exhibited a strong ability to correctly determine the wheat grain stage based on the mycobiome present on the surface of the wheat grains, achieving a 98.28% accuracy rate, which confirmed the potential of mycobiome analysis for assessing wheat grain quality. This study provides a new perspective for assessing grain quality and sanitation security, which is significant for the supervision of food safety.

Suggested Citation

  • Zhihui Qi & Xin Zhou & Lin Tian & Haiyang Zhang & Yuqing Lei & Fang Tang, 2024. "Assessment of wheat grain quality in China during harvest and storage using a mycobiome approach," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 16(6), pages 1619-1632, December.
  • Handle: RePEc:spr:ssefpa:v:16:y:2024:i:6:d:10.1007_s12571-024-01499-0
    DOI: 10.1007/s12571-024-01499-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12571-024-01499-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12571-024-01499-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ssefpa:v:16:y:2024:i:6:d:10.1007_s12571-024-01499-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.