Metabolomic and transcriptomic analyses of rice plant interaction with invasive weed Leptochloa chinensis

Combining transcriptomics and metabolomics to analyse the mechanism of allelopathy in Cyclachaena xanthiifolia

As a vicious invasive plant, Cyclachaena xanthiifolia has caused severe ecological disruption and significant reductions in crop yield, necessitating urgent control measures. However, the underlying mechanisms of its allelopathic invasion remain unclear, representing the primary bottleneck in current management strategies. In this study, we used metabolomic and transcriptomic analyses to evaluate the differences in allelopathy and related physiological and biochemical indices among different extract fractions of C.xanthiifolia, and to investigate how the allelopathy of C.xanthiifolia inhibits seed germination and seedling growth by altering metabolic pathways. GC-MS results identified several compounds with allelopathic potential, including fatty acids, terpenes, esters, alkanes, and aldehydes. Among them, n-butanol phase extract (NE) treatment significantly inhibited the germination and water absorption of mustard (Brassica juncea) seeds, changed the balance of the endogenous hormones abscisic acid (ABA) and gibberellins (GA) in seeds, destroyed the antioxidant enzyme system, and caused plasma membrane damage. Moreover, transcriptomic and broadly targeted metabolomic analyses showed that NE treatment interfered with primary metabolism, significantly enriched the carotenoid biosynthetic pathway, and led to a significant accumulation of ABA. The quantitative real-time PCR (qRT-PCR) results showed that the expression levels of 7 key genes involved in ABA biosynthesis and metabolic pathways were relatively high. The results showed that C.xanthiifolia may exert its allelopathic effects by disrupting the antioxidant enzyme system and interfering with primary metabolism and hormone signalling, and that the modulation of the ABA signalling pathway appears to play a key role.

Elucidating the Underlying Allelopathy Effects of Euphorbia jolkinii on Arundinella hookeri Using Metabolomics Profiling

Euphorbia jolkinii dominates the subalpine meadows in Shangri-La (Southwest China) owing to its potent allelopathic effects. However, the effects underlying its allelopathy require further characterization at the physiological and molecular levels. In this study, the physiological, biochemical, and metabolic mechanisms underlying E. jolkinii allelopathy were investigated using Arundinella hookeri as a receptor plant. The treatment of A. hookeri seedlings with E. jolkinii aqueous extract (EJAE) disrupted their growth by inhibiting photosynthesis, disrupting oxidation systems, and increasing soluble sugar accumulation and chlorophyll synthesis. Collectively, this causes severe impairment accompanied by abnormal photosynthesis and reduced biomass accumulation. Moreover, EJAE treatment suppressed gibberellin, indoleacetic acid, zeatin, salicylic acid, and jasmonic acid levels while promoting abscisic acid accumulation. Further metabolomic analyses identified numerous differentially abundant metabolites primarily enriched in the α-linolenic, phenylpropanoid, and flavonoid biosynthesis pathways in EJAE-treated A. hookeri seedlings. This study demonstrated that E. jolkinii exhibits potent and comprehensive allelopathic effects on receptor plants, including a significant disruption of endogenous hormone synthesis, the inhibition of photosynthesis, an impairment of membrane and oxidation systems, and changes in crucial metabolic processes associated with α-linolenic, phenylpropanoid, and flavonoid biosynthesis. Thus, our study provides a solid theoretical foundation for understanding the regulatory mechanisms underlying E. jolkinii allelopathy.

Molecular responses of seaweeds to biotic interactions: A systematic review

Seaweed farming is the single largest aquaculture commodity with >30 million tonnes produced each year. Furthermore, the restoration of lost seaweed forests is gaining significant momentum, particularly for kelps in warming temperate areas. Whether in aquaculture settings, following restoration practices, or in the wild, all seaweeds undergo biotic interactions with a diverse range of co-occurring or cocultured organisms. To date, most research assessing such biotic interactions has focused on the response of the organism interacting with seaweeds, rather than on the seaweeds themselves. However, understanding how seaweeds respond to other organisms, particularly on a molecular scale, is crucial for optimizing outcomes of seaweed farming or restoration efforts and, potentially, also for the conservation of natural populations. In this systematic review, we assessed the molecular processes that seaweeds undergo during biotic interactions and propose priority areas for future research. Despite some insights into the response of seaweeds to biotic interactions, this review specifically highlights a lack of characterization of biomolecules involved in the response to chemical cues derived from interacting organisms (four studies in the last 20 years) and a predominant use of laboratory-based experiments conducted under controlled conditions. Additionally, this review reveals that studies targeting metabolites (70%) are more common than those examining the role of genes (22%) and proteins (8%). To effectively inform seaweed aquaculture efforts, it will be crucial to conduct larger scale experiments simulating natural environments. Also, employing a holistic approach targeting genes and proteins would be beneficial to complement the relatively well-established role of metabolites.

Biotechnological frontiers in harnessing allelopathy for sustainable crop production

Allelopathy, the phenomenon in which plants release biochemical compounds that influence the growth and development of neighbouring plants, presents promising opportunities for revolutionizing agriculture towards sustainability. This abstract explores the role of biotechnological advancements in unlocking the potential of allelopathy for sustainable crop production and its applications in agriculture, ecology, and natural resource management. By combining molecular, genetic, biochemical, and bioinformatic tools, researchers can unravel the complexities of allelopathic interactions and their potential for sustainable crop production and environmental stewardship. The development of novel management methods for weed control is getting a lot of attention with the introduction of new genetic technologies such as Gene drive, Transgene technologies, Gene silencing, Marker-assisted selection (MAS), and Clustered regularly interspaced short palindromic repeats (CRISPR-Cas9). By strengthening competitive characteristics these tools hold great promise for boosting crops' ability to compete with weeds. Considering recent literature, this review highlights the genetic, transcriptomics, and metabolomics approaches to allelopathy. Employing allelopathic properties in agriculture offer sustainable benefits like natural weed management, pest management, and reduced chemical pollution, but challenges include environmental factors, toxicity, regulatory hurdles, and limited resources. Effective integration requires continued research, regulatory support, and farmer education​. Also, we aimed to identify the biotechnological domains requiring more investigation and to provide the basis for future advances through this assessment.

Weed biology and management in the multi-omics era: Progress and perspectives

Weeds pose a significant threat to crop production, resulting in substantial yield reduction. In addition, they possess robust weedy traits that enable them to survive in extreme environments and evade human control. In recent years, the application of multi-omics biotechnologies has helped to reveal the molecular mechanisms underlying these weedy traits. In this review, we systematically describe diverse applications of multi-omics platforms for characterizing key aspects of weed biology, including the origins of weed species, weed classification, and the underlying genetic and molecular bases of important weedy traits such as crop-weed interactions, adaptability to different environments, photoperiodic flowering responses, and herbicide resistance. In addition, we discuss limitations to the application of multi-omics techniques in weed science, particularly compared with their extensive use in model plants and crops. In this regard, we provide a forward-looking perspective on the future application of multi-omics technologies to weed science research. These powerful tools hold great promise for comprehensively and efficiently unraveling the intricate molecular genetic mechanisms that underlie weedy traits. The resulting advances will facilitate the development of sustainable and highly effective weed management strategies, promoting greener practices in agriculture.