Plant Communications最新文献

Synthetic biology plays a pivotal role in improving crop traits and increasing bioproduction through the use of engineering principles that purposefully modify plants through "design, build, test, and learn" cycles, ultimately resulting in improved bioproduction based on an input genetic circuit (DNA, RNA, and proteins). Crop synthetic biology is a new tool that uses circular principles to redesign and create innovative biological components, devices, and systems to enhance yields, nutrient absorption, resilience, and nutritional quality. In the digital age, artificial intelligence (AI) has demonstrated great strengths in design and learning. The application of AI has become an irreversible trend, with particularly remarkable potential for use in crop breeding. However, there has not yet been a systematic review of AI-driven synthetic biology pathways for plant engineering. In this review, we explore the fundamental engineering principles used in crop synthetic biology and their applications for crop improvement. We discuss approaches to genetic circuit design, including gene editing, synthetic nucleic acid and protein technologies, multi-omics analysis, genomic selection, directed protein engineering, and AI. We then outline strategies for the development of crops with higher photosynthetic efficiency, reshaped plant architecture, modified metabolic pathways, and improved environmental adaptability and nutrient absorption; the establishment of trait networks; and the construction of crop factories. We propose the development of SMART (self-monitoring, adapted, and responsive technology) crops through AI-empowered synthetic biotechnology. Finally, we address challenges associated with the development of synthetic biology and offer potential solutions for crop improvement.

Plant diseases, caused by a wide range of pathogens, severely reduce crop yield and quality, posing a significant threat to global food security. Developing broad-spectrum resistance (BSR) in crops is a key strategy for controlling crop diseases and ensuring sustainable crop production. Cloning disease-resistance (R) genes and understanding their underlying molecular mechanisms provide new genetic resources and strategies for crop breeding. Novel genetic engineering and genome editing tools have accelerated the study and engineering of BSR genes in crops, which is the primary focus of this review. We first summarize recent advances in understanding the plant immune system, followed by an examination of the molecular mechanisms underlying BSR in crops. Finally, we highlight diverse strategies employed to achieve BSR, including gene stacking to combine multiple R genes, multiplexed genome editing of susceptibility genes and promoter regions of executor R genes, editing cis-regulatory elements to fine-tune gene expression, RNA interference, saturation mutagenesis, and precise genomic insertions. The genetic studies and engineering of BSR are accelerating the breeding of disease-resistant cultivars, contributing to crop improvement and enhancing global food security.

Pentatricopeptide repeat (PPR) proteins are involved in nearly all aspects of post-transcriptional processing in plant mitochondria and plastids, playing vital roles in plant growth, development, cytoplasmic male sterility restoration, and responses to biotic and abiotic stresses. Over the last three decades, significant advances have been made in understanding the functions of PPR proteins and the primary mechanisms through which they mediate post-transcriptional processing. This review aims to summarize these advancements, highlighting the mechanisms by which PPR proteins facilitate RNA editing, intron splicing, and RNA maturation in the context of organellar gene expression. We also present the latest progress in PPR engineering and discuss its potential as a biotechnological tool. Additionally, we discuss key challenges and questions that remain in PPR research.

Populations are continually adapting to their environment. Knowledge of which populations and individuals harbor unique and agriculturally useful variations has the potential to accelerate crop adaptation to the increasingly challenging environments predicted for the coming century. Landscape genomics, which identifies associations between environmental and genomic variation, provides a means for obtaining this knowledge. However, despite extensive efforts to assemble and characterize ex situ collections of crops and their wild relatives, gaps remain in the genomic and environmental datasets needed to robustly implement this approach. This article outlines the history of landscape genomics, which, to date, has mainly been used in conservation and evolutionary studies, provides an overview of crops and wild relative collections that have the necessary data for implementation and identifies areas where new data generation is needed. We find that 60% of the crops covered by the International Treaty on Plant Genetic Resources for Food and Agriculture lack the data necessary to conduct this kind of analysis, necessitating identification of crops in need of more collections, sequencing, or phenotyping. By highlighting these aspects, we aim to help develop agricultural landscape genomics as a sub-discipline that brings together evolutionary genetics, landscape ecology, and plant breeding, ultimately enhancing the development of resilient and adaptable crops for future environmental challenges.

The emergence of herbicide-resistant weeds in crop fields and the extensive use of herbicides have led to a decrease in rice (Oryza sativa) yields and an increase in production costs. To address these challenges, researchers have focused on the discovery of new germplasm resources with herbicide resistance. The most promising candidate genes have been functionally studied and applied in rice breeding. Here, we review recent progress in the breeding of herbicide-resistant rice. We provide examples of various techniques used to breed herbicide-resistant rice, such as physical and chemical mutagenesis, genetic transformation, and CRISPR-Cas-mediated gene editing. We highlight factors involved in the breeding of herbicide-resistant rice, including target genes, rice varieties, degrees of herbicide resistance, and research tools. Finally, we suggest methods for breeding herbicide-resistant rice that could potentially be used for weed management in direct-seeding farm systems.

Epitranscriptomic chemical modifications of RNAs have emerged as potent regulatory mechanisms in the process of plant stress adaptation. Currently, over 170 distinct chemical modifications have been identified in mRNAs, tRNAs, rRNAs, microRNAs (miRNAs), and long noncoding RNAs (lncRNAs). Genetic and molecular studies have identified the genes responsible for addition and removal of chemical modifications from RNA molecules, which are known as "writers" and "erasers," respectively. N⁶-methyladenosine (m⁶A) is the most prevalent chemical modification identified in eukaryotic mRNAs. Recent studies have identified m⁶A writers and erasers across different plant species, including Arabidopsis (Arabidopsis thaliana), rice (Oryza sativa), cotton (Gossypium hirsutum), and tomato (Solanum lycopersicum). Accumulating discoveries have improved our understanding of the functions of RNA modifications in plant stress responses. This review highlights the latest research on RNA modification, emphasizing the biological and cellular roles of diverse chemical modifications of mRNAs, tRNAs, rRNAs, miRNAs, and lncRNAs in plant responses to environmental and hormonal signals. We also propose and discuss critical questions and future challenges for enhancing our understanding of the cellular and mechanistic roles of RNA modifications in plant stress responses. Integrating molecular insights into the regulatory roles of RNA modifications in stress responses with novel genome- and RNA-editing technologies will facilitate the breeding of stress-tolerant crops through precise engineering of RNA modifications.

By integrating genomes from different accessions, pangenomes provide a more comprehensive and reference-bias-free representation of genetic information within a population compared to a single reference genome. With the rapid accumulation of genomic sequencing data and the expanding scope of plant research, plant pangenomics has gradually evolved from single-species to multi-species studies. This shift has given rise to the concept of a super-pangenome that covers all genomic sequences within a genus-level taxonomic group. By incorporating both cultivated and wild species, the super-pangenome has greatly enhanced the resolution of research in various areas such as plant genetic diversity, evolution, domestication, and molecular breeding. In this review, we present a comprehensive overview of the plant super-pangenome, emphasizing its development requirements, construction strategies, potential applications, and notable achievements. We also highlight the distinctive advantages and promising prospects of super-pangenomes while addressing current challenges and future directions.