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Comprehensive Analysis of Genetic and Morphological Diversity in Echinochloa spp. Populations Infesting Paddy Fields in Ningxia, China

文献类型： 外文期刊

作者： Li, Jinhui 1 ; Zhang, Yi 2 ; Liu, Yan 3 ; Wei, Shouhui 1 ; Huang, Zhaofeng 1 ; Chen, Lu 1 ; Huang, Hongjuan 1 ;

作者机构： 1.Chinese Acad Agr Sci, State Key Lab Biol Plant Dis & Insect Pests, Inst Plant Protect, Beijing 100193, Peoples R China

2.Ningxia Acad Agr & Forestry Sci, Inst Plant Protect, Yinchuan 750002, Peoples R China

3.Chinese Acad Trop Agr Sci, Inst Environm & Plant Protect, Haikou 570100, Peoples R China

关键词： barnyard grass; genetic diversity; morphological traits; SCoT marker; DNA barcode; cluster analysis

期刊名称：INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES （ 影响因子：4.9； 五年影响因子：5.7 ）

ISSN： 1661-6596

年卷期： 2025 年 26 卷 12 期

页码：

收录情况： SCI

摘要： Barnyard grass is the most problematic weed in paddy fields in Ningxia. Its substantial morphological variation complicates both identification and control, yet the genetic diversity of barnyard grass infesting paddy fields in Ningxia has not been thoroughly studied. In this research, we analyzed the genetic diversity of 46 barnyard grass populations from Ningxia's paddy fields based on the assessment of morphological traits, DNA barcoding, and SCoT-targeted gene markers. Nine morphological traits were quantitatively analyzed, among which three phenological traits, i.e., leaf length, stem diameter, and plant height, exhibited notable variations. Correlational analysis revealed a positive relationship between morphological traits and multi-herbicide resistance profiles. To assess genetic diversity, four DNA barcodes (ITS, psbA, matK, and trnL-F) were used, among which ITS demonstrated the strongest potential in single-gene barcoding for barnyard grass species identification. Cluster analysis based on ITS barcode sequences was performed to group the populations into five main categories. Additionally, SCoT marker analysis using six primers was performed to classify the 46 barnyard grass samples into five groups. The results showed that the predominant barnyard grass species in Ningxia were E. colona, E. crus-galli var. Formosensis, E. crusgalli, E. oryzoides, and E. crusgalli var. Zelayensis, with E. colona being the most prevalent. The differences observed between the morphological and molecular marker-based classifications were method-dependent. However, both SCoT molecular marker technology and DNA barcoding contributed to identifying the genetic diversity of barnyard grass. Taken together, our study revealed significant morphological and genetic variations among barnyard grass populations, which correlated with herbicide sensitivity in Ningxia's paddy fields, underscoring the necessity for an integrated weed management approach to combat this troublesome weed species.

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