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PubMed2026

AI-integrated digital breeding for crop improvement.

Crop breeding increasingly depends on the effective integration and interpretation of large, heterogeneous datasets spanning genomic, phenotypic, multi-omics, and environmental layers. Conventional breeding approaches are often insufficient to capture the complex relationships among these data or to support timely selection decisions. Digital breeding can help address this limitation by complementing field experimentation, mixed models, and genomic prediction with the integration of biological data and computational prediction throughout the breeding process. In particular, the rapid advancement of artificial intelligence (AI) has improved the analysis of high-dimensional datasets and broadened its application to trait prediction, selection, and breeding design. Here, we review recent developments in AI-enabled digital breeding, encompassing genomic, phenomic, and multi-omics data generation and analysis, predictive modeling, explainable and generative AI, and data-driven breeding decision support. We further discuss emerging AI applications, their current contributions to crop research and breeding, and the major considerations affecting their reliable and practical implementation. Collectively, this review provides a structured understanding of the roles of AI across the digital breeding process and offers guidance for future methodological development and practical application in crop improvement.

artificial intelligence↗
PubMed2026

Bioinformatics in crop research: using genomic data for crop improvement.

Sustainable crop development aims to maintain or increase yields while reducing environmental impact and managing the challenges imposed by climate change. As the global population grows and arable land becomes scarcer, the integration of molecular breeding with bioinformatics has emerged as an effective strategy for long-term crop improvement. Bioinformatics enables researchers to analyze and interpret the vast quantities of genetic data generated by high-throughput sequencing, making it possible to identify molecular markers, candidate genes, and regulatory networks linked to specific agronomic traits, which breeders then translate into focused, ecologically sustainable breeding programs. This approach has enabled major progress across several fronts: the identification of genes conferring resistance to biotic stressors (pests, pathogens) and abiotic stressors (drought, salinity, heat); the development of nutrient-efficient, low-input crop varieties; the improvement of agronomic performance and nutritional quality through identification of yield- and quality-related genes; and the conservation and deployment of genetic diversity to safeguard long-term breeding sustainability. By combining genomic data with precision breeding techniques, researchers are developing crops that are better adapted to a growing population and a changing climate, positioning the integration of molecular breeding and bioinformatics as a central pillar of future global food security.

bioinformatics↗
PubMed2026

The emerging impact of CRISPR and gene editing on global crop improvement.

The advent of CRISPR-based genome editing has revolutionized crop improvement, offering unprecedented precision and efficiency in modifying key agronomic traits. This review comprehensively examines the mechanisms, applications, and future potential of CRISPR technology in enhancing global crop production. CRISPR-Cas systems, originally identified as adaptive immune mechanisms in bacteria and archaea, have been repurposed for targeted genome editing in plants. The CRISPR-Cas9 system, in particular, has emerged as a powerful tool for introducing site-specific double-strand breaks, enabling precise genetic modifications. The three-stage process of adaptation, expression, and interference underlies the CRISPR mechanism, with guide RNAs directing Cas endonucleases to specific genomic loci. Advances in CRISPR technology have expanded its applications beyond gene knockouts, encompassing base editing, prime editing, and epigenome editing. These innovations have facilitated the development of crops with enhanced yield, stress tolerance, disease resistance, nutritional content, and post-harvest quality. However, challenges related to off-target effects, regulatory hurdles, ethical concerns, and public acceptance must be addressed to fully harness the potential of CRISPR in agriculture. Integration of CRISPR with other cutting-edge technologies, such as synthetic biology, artificial intelligence, and high-throughput phenotyping, holds immense promise for accelerating crop improvement efforts. As research continues to refine CRISPR tools and expand their applicability across diverse plant species, this transformative technology is poised to play a pivotal role in shaping a sustainable, resilient, and productive global food system for future generations.

Gene Editing↗
PubMed2026

Advances in CRISPR multiplex gene editing to map and modify stress-responsive transcription factor networks for crop improvement.

The development of CRISPR multiplex genome-editing (MGE) tools is rapidly transforming plant functional genomics and accelerating crop improvements. By simultaneously targeting two or more DNA loci, it allows scientists to precisely edit multiple genes at the single-nucleotide level, within the target genome. Simultaneous manipulation of multiple targets has revolutionized the functional elucidation studies, particularly the dissection of complex genetic pathways. Due to its superior precision and feasibility, CRISPR-MGE is widely accepted and has largely replaced alternative editing tools such as TALENs and ZFNs. Several CRISPR-MGE strategies, including the use of individual expression cassettes, tRNA-processing enzymes, Csy4 or ribozymes, have been successfully deployed in plants. Recent advancements, such as Cpf1, transgene-free methods, or ultra-multiplexing approaches, have further refined the technology into a powerful, efficient, and robust toolkit. MGE enables complex genome editing, including multiple-gene knockouts, base alterations, transcriptional regulation, metabolic engineering, or their combinations. Consequently, it is ideal for elucidating the function of transcription factors that are key molecular players in regulating diverse plant responses, especially in stress pathways. Several stress-responsive TFs have been functionally characterized via CRISPR-MGE, and more advanced tools are being employed. This review evaluates multiplexing tools, their diverse applications, and the current progress toward developing advanced MGE tools. Ultimately, we provide evidence to encourage the use of advanced MGE tools for functional characterization studies of stress-responsive TFs, thereby highlighting their potential to accelerate crop improvement.

Gene Editing↗
PubMed2025

Turbo-charging crop improvement: harnessing multiplex editing for polygenic trait engineering and beyond.

Multiplex CRISPR editing has emerged as a transformative platform for plant genome engineering, enabling the simultaneous targeting of multiple genes, regulatory elements, or chromosomal regions. This approach is effective for dissecting gene family functions, addressing genetic redundancy, engineering polygenic traits, and accelerating trait stacking and de novo domestication. Its applications now extend beyond standard gene knockouts to include epigenetic and transcriptional regulation, chromosomal engineering, and transgene-free editing. These capabilities are advancing crop improvement not only in annual species but also in more complex systems such as polyploids, undomesticated wild relatives, and species with long generation times. At the same time, multiplex editing presents technical challenges, including complex construct design and the need for robust, scalable mutation detection. We discuss current toolkits and recent innovations in vector architecture, such as promoter and scaffold engineering, that streamline workflows and enhance editing efficiency. High-throughput sequencing technologies, including long-read platforms, are improving the resolution of complex editing outcomes such as structural rearrangements-often missed by standard genotyping-when targeting repetitive or tandemly spaced loci. To fully realize the potential of multiplex genome engineering, there is growing demand for user-friendly, synthetic biology-compatible, and scalable computational workflows for gRNA design, construct assembly, and mutation analysis. Experimentally validated inducible or tissue-specific promoters are also highly desirable for achieving spatiotemporal control. As these tools continue to evolve, multiplex CRISPR editing is poised to become a foundational technology of next-generation crop improvement to address challenges in agriculture, sustainability, and climate resilience.

Gene Editing↗
PubMed2026

Genome Editing in Solanaceae: Harnessing CRISPR-Cas Technology for Precision Crop Improvement.

Malnutrition and climate-induced stress remain major constraints to global food and nutritional security despite the yield gains of the Green Revolution. Solanaceae crops such as tomato, potato, brinjal, and pepper are key sources of vitamins, minerals, and bioactive compounds. Yet, their genetic improvement has been limited by narrow diversity and complex polygenic traits. The advent of CRISPR/Cas-mediated genome editing provides a transformative platform for precision crop improvement by enabling targeted modification of genes controlling stress tolerance, yield, and nutritional quality. In Solanaceae, CRISPR/Cas applications have successfully enhanced resistance against major pathogens (SlMlo1, SlPelo, SlDCL2), improved abiotic stress tolerance through editing of SlMAPK3, SlCBF1, and SlBZR1, and optimized fruit quality traits via modulation of Psy1, CrtR-b2, and fiAD2/3. Emerging innovations, such as base and prime editing, and RNP-mediated transgene-free delivery, are expanding the precision and scope of editing. However, challenges persist, including genotype-dependent transformation, low HDR efficiency, and incomplete understanding of off-target and epigenetic effects. Integrating CRISPR with omics-guided gene discovery, efficient transformation systems, and regulatory harmonization can accelerate the development of nutritionally enriched, stress-resilient, and sustainable Solanaceae varieties. This review synthesizes recent advances, identifies critical limitations, and outlines future opportunities for deploying CRISPR/Cas technology to achieve next-generation breeding and food system resilience.

CRISPR/Cas↗
PubMed2026

Rapid Agrobacterium-mediated transformation and high-efficiency regeneration of finger millet (Eleusine coracana) for crop improvement.

Finger millet (Eleusine coracana) is a nutritionally important and climate-resilient cereal cultivated in rainfed regions of India and Eastern Africa, yet its genetic improvement has been limited by the lack of efficient and reproducible transformation systems. In this study, we developed a rapid and efficient Agrobacterium tumefaciens-mediated transformation and regeneration system using shoot apical meristem (SAM) explants, enabling direct, callus-free shoot organogenesis. Optimal regeneration and shoot elongation were achieved on Murashige and Skoog (MS) medium supplemented with 3.5 mg L⁻1 6-benzylaminopurine (BAP), 1.5 mg L⁻1 kinetin, 0.1 mg L⁻1 2,4-dichlorophenoxyacetic acid (2,4-D), and 0.2 mg L⁻1 gibberellic acid (GA₃). Genotype-dependent responses were observed, with PR-202 requiring 2 mg L⁻1 AgNO3 to reduce phenolic browning, whereas VL-376 regenerated efficiently without AgNO3. Transformation efficiencies of 30-32% were achieved in PR-202 and VL-376, respectively, by optimising infection and co-cultivation conditions, including reduced MS salt strength and pre-incubation of Agrobacterium. Molecular analyses, including PCR and Southern blot hybridisation, confirmed stable T-DNA integration in independent lines, while segregation analysis of T₁ progenies demonstrated Mendelian inheritance of the transgene. In addition, CRISPR/Cas9 constructs targeting EcCKX2 were successfully introduced via Agrobacterium, demonstrating the suitability of this system for genome engineering applications. Overall, this optimised SAM-based protocol provides a rapid (45-50 days), efficient, and reproducible platform for stable genetic transformation in finger millet and establishes a strong foundation for transgenic research and future genome editing studies in this underutilized crop.

Eleusine↗
PubMed2026

3D chromatin remodeling during domestication defines novel targets for crop improvement.

Three-dimensional (3D) genome folding shapes gene regulation, yet the genetic underpinnings linking 3D genome evolution to phenotypic innovation during domestication remain elusive. Using population-scale Hi-C profiling of 34 semi-wild and 267 cultivated allotetraploid cottons, we generated a pan-3D genome atlas capturing extensive diversity in topologically associating domains (TADs) and chromatin loops. Chromatin interactome-wide association studies identified 105 TAD reconfigurations and 58 loop rewirings that were established as the 3D chromatin basis of fiber quality, boosting heritability estimates for fiber strength by 16% and fiber length by 20%. We reveal that domestication selection within sequence-defined sweeps fixed 57% of 3D conformation signatures, thereby decoupling sequence-level from chromatin-level selection and shifting the subgenome expression balance of 39 homoeologs in cultivated cotton. Sequence-based modeling and mutational analyses identified the C2H2 zinc-finger protein YY1 as a conserved mediator of 3D genome organization. This study provides a resource for redefining precision-breeding paradigms by harnessing cryptic 3D chromatin targets.

3D genome↗
PubMed2025

Genome editing research initiatives and regulatory landscape of genome edited crops in India.

Food and nutritional security are the top priorities in Indian agriculture. Exponential population growth coupled with climate change effects has become a serious challenge for sustainable agriculture. Genome editing has revolutionized the agricultural sector because of its ability to create precise, stable and predictable modifications in the genome and therefore, offers great opportunities for crop improvement in India. However, for harvesting the real benefits of this technology in agriculture sector, there is a strong need of creating awareness among the end users and development of suitable policies for regularization of genome edited products. Many regulatory agencies around the world have been modernizing their regulatory approaches to be more risk proportionate and to reflect a more science-based approach. In this article, recent research initiatives and developments undertaken by different Indian institutes/organizations for the genetic improvement of agricultural and horticultural crops via genome editing technologies are summarized. Furthermore, to benefit from this potential technology in our country, regulatory policies must be clear, science-based and proportionate. Therefore, in the present review, the regulatory policies related to the genome editing of crop products in India are discussed in detail. This review will sensitize researchers and stakeholders to the application of genome editing techniques in crop improvement and various biosafety committees involved in the development and regulation of genome edited crops.

Crops, Agricultural↗
PubMed2026

Artificial intelligence-driven advancements in agricultural biotechnology.

The need for faster and more informative data processing for better decision-making is driving the adoption of artificial intelligence (AI) in the agricultural sector. Thanks to recent advancements in computer science and the increase in computational powers of modern computers, AI is not only augmenting traditional solutions, but also helping in developing novel solutions to existing challenging matters. AI-driven models have an exceptional ability to identify patterns and combine a diverse collection of data together and make inference. The increasing pressure on farmlands posed by the growing global population and climate change is lessening growth, yield, and productivity ultimately posing risk to food security worldwide. Incorporation of AI in agriculture has the potential to drive farming efficiency to new heights. This comprehensive review critically evaluates the evolution of AI in agricultural biotechnology from a theoretical concept to a global phenomenon. A comprehensive literature search was performed using major scientific databases, including PubMed, Web of Science, Embase, Scopus, Lens and the Cochrane Library. In this review, we empirically demonstrate the fields advancement toward more capable AI systems and discuss the current applications of AI across crop improvement and precision agriculture such as crop improvement and genetic engineering, genomic selection and plant breeding, pest and disease detection, precision agriculture and smart farming, soil health and nutrient management, climate resilient crop development, livestock biotechnology, challenges and ethical considerations in AI based agricultural biotechnology. Furthermore, this review addresses the exponential growth of commercial intellectual property in the field and contrast it with academic publication outputs. Finally, we critically assess the ethical challenges impeding equitable adoption of AI including data sovereignty and digital divide, while projecting future frontiers involving quantum computing. This review will help build sustainable agricultural systems capable of adapting to climate change, contribute to the development of climate-resilient and high-yielding crops, and address global food security challenges.

Agriculture↗
PubMed2026

Powering Genome Editing in Rice by Harnessing Promising Gene Resources: A Comprehensive Roadmap.

The imprecise breeding methods including recombination breeding, physical/chemical mutagenesis, and marker-assisted breeding have been extensively utilized for trait improvement of rice crop. Despite tremendous progress made through these breeding methods, the critical issues, such as linkage drag, unintended phenotype, and longer duration of time required to breed a cultivar, have been the major limitations. Among the new breeding technologies, genome editing (GE) has become the most promising approach because of its specificity, precision, and speed. Despite its transformative potential, genome editing continues to face several limitations in crop improvement. These include well-recognized policy challenges, such as biosafety regulations and intellectual property constraints, alongside technical barriers like inefficient tissue culture and transformation systems. Additionally, researchers remain constrained by the limited availability of precise gene information necessary for accurate targeted editing and effective trait enhancement. This review presents an analysis of genes that regulate abiotic and biotic stresses, yield, grain quality and nutrition, plant architecture, nutrient absorption and use efficiency, and other agronomically important traits of rice. The trait-wise probable target genes for genome editing have been discussed in detail. This review will serve as a ready reckoner for rice researchers and funding agencies.

Oryza↗
PubMed2026

The Rise of Plant Pan-Genomes: From Genome Variation to Predictive Breeding.

Plant pan-genomics is entering a new phase beyond genome variation discovery, requiring a shift from cataloguing genomic diversity toward understanding how variation generates biological function and breeding value. Here, we propose that the future of plant pan-genomics will be shaped by three conceptual transitions. First, structural variation (SV), presence-absence variation (PAV), and haplotype diversity should be interpreted not merely as genomic differences, but as regulatory components that influence gene networks, chromatin organization, and complex traits. Second, the expansion from species-level pan-genomes to genus-level super pan-genomes provides an evolutionary framework for uncovering adaptive genetic modules preserved in wild relatives and overlooked during domestication. Third, integrating pan-genomes with pan-omics, three-dimensional genome analyses, and artificial intelligence will enable the transformation of genomic variation into predictive models for crop improvement. We further propose that the ultimate value of pan-genomes lies not in generating increasingly complete genome collections, but in establishing a mechanistic bridge between genome diversity, biological function, and breeding decisions. This transition will move crop improvement from empirical selection toward rational genome design, where evolutionary diversity can be systematically interpreted, predicted, and engineered.

Journal Article↗
PubMed2026

Scaling up orphan crop research: genebank genetics highlight geographic structure in cultivated cowpea from 10 617 global accessions.

Vigna unguiculata (L.) Walp. is a dryland legume crop, providing essential food and nutritional security for millions of people across the semi-arid tropics, in Africa, Asia and Latin America. However, as a typical 'orphan crop', cowpea has long remained underrepresented in global genomic research to support crop improvement. Here, we conducted the largest genetic diversity analysis of cowpea to date, comprising 10 617 accessions sourced from seven international collections. Using genotyping-by-sequencing, we characterised the global patterns of genetic diversity, assessed redundancy within and across collections, and examined the geographic structure of the cowpea global allele pool. Our results revealed nine distinct genetic groups with clear geographic associations and fine-scale population differentiation, reflecting dispersal history, regional adaptation and the influence of modern breeding. Duplication across collections was detected, highlighting the need for improved curation and integration of germplasm resources. Landraces from sub-Saharan Africa do not fully capture the genetic diversity present in several other geographic regions, indicating the existence of abundant and untapped genetic resources worldwide. These findings not only provide insights into the genetic structure and evolutionary history of cowpea but also offer a valuable foundation for harnessing global germplasm diversity to enhance breeding potential and accelerate crop improvement.

Vigna↗
PubMed2026

Brassinosteroids as Central Regulators of Plant Growth, Stress Tolerance, and Agricultural Resilience.

Brassinosteroids (BRs) are essential steroidal phytohormones that regulate plant growth, development, and responses to environmental stresses. Recent studies have demonstrated the important roles of BRs in enhancing plant tolerance to abiotic stresses, including drought, salinity, temperature extremes, heavy metal toxicity, and oxidative stress, as well as biotic stresses caused by pathogens and herbivores. This review summarizes current advances in BR biosynthesis, metabolism, transport, and signaling pathways, focusing on key components that mediate stress adaptation. We discuss the physiological and molecular mechanisms through which BRs improve stress tolerance, including regulation of antioxidant defense, ion homeostasis, osmotic adjustment, and stress-responsive gene expression. Particular attention is given to the extensive cross talk between BRs and other phytohormones, such as abscisic acid, jasmonic acid, salicylic acid, ethylene, auxin, and gibberellins, which enables plants to balance growth and defense under adverse conditions. Furthermore, we highlighted the potential applications of BRs in crop improvement through exogenous treatments, genetic engineering, and genome-editing approaches. However, the effectiveness of BR-based strategies is highly dependent on crop species, developmental stage, stress type, BR concentration, application method, and environmental conditions. In addition, excessive BR accumulation or application may result in undesirable growth responses, and further multi-location field validation is required before widespread agricultural implementation. Finally, we discuss emerging research trends, current knowledge gaps, and future perspectives for exploring BR signaling to develop climate-resilient crops. Overall, BRs represent promising targets for improving crop stress resilience; however, optimizing BR-mediated strategies and validating their long-term performance under diverse field conditions will be essential for their successful application in sustainable agriculture.

abiotic stress↗