The integrated genomics of crop domestication and breeding

Transcriptomic profiles reveal hormonal regulation of sugar-induced stolon initiation in potato

Potato (Solanum tuberosum L.) is one of the world's most important non-cereal food crops, with stolon development playing a crucial role in determining tuber yield. While some studies have examined the effects of sugars on potato stolon growth, their influence-particularly that of sucrose-on early stolon development remains unclear. Furthermore, the regulatory role of plant hormones in this process has yet to be established. Using a combination of in vitro culture, transcriptomics, gene expression analysis, and biochemical approaches, we investigated the contribution of sucrose (3% or 8%) on potato seedling stem nodes and stolon initials through phenotypic observation, RNA sequencing (RNA-seq), comparison of expression patterns, and hormone quantification. Firstly, compared to other types of sugars, we found that high concentrations of sucrose were the most effective in inducing stolon initial formation in potato seedlings. Furthermore, RNA-seq data showed that high sucrose levels significantly up-regulated the expression of genes involved in sugar metabolism and plant hormone metabolism. Additionally, the development of stem nodes and stolon initials under high sucrose conditions was also closely linked to hormone metabolism. Notably, high sucrose concentrations contributed to stem node and stolon initial development by modulating the IAA, CK, and GA signaling pathways. Based on the endogenous hormone measurement, and exogenous hormone application, together with heterologous overexpression of a potato Auxin response factor 9 (StARF9), we concluded that the early development of potato stolons was regulated by plant hormones, particularly auxin. In summary, this study elucidates the hormonal regulation of stolon initiation under high sucrose concentrations, offering a theoretical foundation and potential targets for in vitro culture and genetic improvement of potato.

EasyOmics: A graphical interface for population-scale omics data association, integration, and visualization

The rapid growth of population-scale whole-genome resequencing, RNA sequencing, bisulfite sequencing, and metabolomic and proteomic profiling has led quantitative genetics into the era of big omics data. Association analyses of omics data, such as genome-, transcriptome-, proteome-, and methylome-wide association studies, along with integrative analyses of multiple omics datasets, require various bioinformatics tools, which rely on advanced programming skills and command-line interfaces and thus pose challenges for wet-lab biologists. Here, we present EasyOmics, a stand-alone R Shiny application with a user-friendly interface that enables wet-lab biologists to perform population-scale omics data association, integration, and visualization. The toolkit incorporates multiple functions designed to meet the increasing demand for population-scale omics data analyses, including data quality control, heritability estimation, genome-wide association analysis, conditional association analysis, omics quantitative trait locus mapping, omics-wide association analysis, omics data integration, and visualization. A wide range of publication-quality graphs can be prepared in EasyOmics by pointing and clicking. EasyOmics is a platform-independent software that can be run under all operating systems, with a docker container for quick installation. It is freely available to non-commercial users at Docker Hub https://hub.docker.com/r/yuhan2000/easyomics.

Harnessing neo-domestication of wild pigmented rice for enhanced nutrition and sustainable agriculture

Advances in precision gene editing have enabled the rapid domestication of wild crop relatives, a process known as neo-domestication. During domestication, breeding rice for maximum productivity under optimal growth conditions reduced genetic diversity, eliminating variants for stress tolerance and grain nutrients. Wild rice varieties have rich genetic diversity, including variants for disease resistance, stress tolerance, and grain nutritional quality. For example, the grain of pigmented wild rice has abundant antioxidants (anthocyanins, proanthocyanidins, and flavonoids), but low yield, poor plant architecture, and long life cycle limit its cultivation. In this review, we address the neo-domestication of wild pigmented rice, focusing on recent progress, CRISPR-Cas editing toolboxes, selection of key candidate genes for domestication, identifying species with superior potential via generating genomic and multi-omics resources, efficient crop transformation methods and highlight strategies for the promotion and application pigmented rice. We also address critical outstanding questions and potential solutions to enable efficient neo-domestication of wild pigmented rice and thus enhance food security and nutrition.

The origins and spread of the opium poppy (Papaver somniferum L.) revealed by genomics and seed morphometrics

The opium poppy (Papaver somniferum L.) is one of the most important plants in human history. It is the main source of opiates used as analgesic medicines or psychotropic drugs, the latter related to addiction problems, illegal trafficking and geopolitical issues. Poppyseed is also used in cooking. The prehistoric origins, domestication and cultivation spread of the opium poppy remain unresolved. Traditionally, Papaver setigerum has been considered the wild ancestor with early cultivation presumed to have occurred in the Western Mediterranean region, where setigerum is autochthonous. Other theories suggest that somniferum may have been introduced by Southwest Asian early farmers as a weed. To investigate these hypotheses, we analysed 190 accessions from 15 Papaver species using genotype-by-sequencing and geometric morphometric (GMM) techniques. Our analysis revealed that setigerum is the only taxa genetically close to somniferum and can be better described as a subspecies. The domesticated plants are, however, distinct from setigerum. Additionally, GMM analysis of seeds also revealed morphological differences between setigerum and somniferum. Some phenotypically wild setigerum accessions exhibited intermediate genetic features, suggesting introgression events. Two major populations were found in somniferum and, to some extent, these correspond to differences in seed form. These two populations may reflect recent attempts to breed varieties rich in opiates, as opposed to varieties used for poppyseed production. This study supports the idea that opium poppy cultivation began in the Western Mediterranean, with setigerum as the wild progenitor, although some wild varieties are likely to be feral forms, which can confound domestication studies.This article is part of the theme issue 'Unravelling domestication: multi-disciplinary perspectives on human and non-human relationships in the past, present and future'.

The genomics of t'ef and finger millet domestication and spread

The Northern Highlands of Ethiopia and Eritrea (NHE) were a centre for food production in Africa, hosting one of the earliest agriculture-based complex societies on the continent. The NHE's geographical connections with the Arabian Peninsula, and Nilotic cultures led to the cultivation of southwest Asian crops and African native domesticates in its territory. Additionally, the NHE were also the domestication centre for crops like t'ef (Eragrostis tef (Zucc.) Trotter) and finger millet (Eleusine coracana L. Gaertn L.), after well-adapted local wild plants. Considering the paucity of the archaeobotanical record in the region and food remains' preservation issues, in this study, we aim to investigate the domestication and spread of t'ef and finger millet using genomics and interpreting the results in the light of archaeological proxies. Our data confirmed Eragrostis pilosa and Eleusine coracana subsp. africana as the sole wild progenitors of t'ef and finger millet, respectively. T'ef was initially domesticated in the NHE before spreading into southern Ethiopia and eastwards into southern Arabia. Finger millet spread followed two routes: one leading eastwards through the Red Sea to India, and the other southwards, through Kenya and Uganda, reaching southern Africa.This article is part of the theme issue 'Unravelling domestication: multi-disciplinary perspectives on human and non-human relationships in the past, present and future'.

Rational Redomestication for Future Agriculture

Modern agricultural practices rely on high-input, intensive cultivation of a few crop varieties with limited diversity, increasing the vulnerability of our agricultural systems to biotic and abiotic stresses and the effects of climate changes. This necessitates a paradigm shift toward a more sustainable agricultural model to ensure a stable and dependable food supply for the burgeoning global population. Leveraging knowledge from crop biology, genetics, and genomics, alongside state-of-the-art biotechnologies, rational redomestication has emerged as a targeted and knowledge-driven approach to crop innovation. This strategy aims to broaden the range of species available for agriculture, restore lost genetic diversity, and further improve existing domesticated crops. We summarize how diverse plants can be exploited in rational redomestication endeavors, including wild species, underutilized plants, and domesticated crops. Equipped with rational redomestication approaches, we propose different strategies to empower the fast and slow breeding systems distinguished by plant reproduction systems.

Selection of dysfunctional alleles of bHLH1 and MYB1 has produced white grain in the tribe Triticeae

Grain color is a key agronomic trait that greatly determines food quality. The molecular and evolutionary mechanisms that underlie grain-color regulation are also important questions in evolutionary biology and crop breeding. Here, we confirm that both bHLH and MYB genes have played a critical role in the evolution of grain color in Triticeae. Blue grain is the ancestral trait in Triticeae, whereas white grain caused by bHLH or MYB dysfunctions is the derived trait. HvbHLH1 and HvMYB1 have been the targets of selection in barley, and dysfunctions caused by deletion(s), insertion(s), and/or point mutation(s) in the vast majority of Triticeae species are accompanied by a change from blue grain to white grain. Wheat with white grains exhibits high seed vigor under stress. Artificial co-expression of ThbHLH1 and ThMYB1 in the wheat endosperm or aleurone layer can generate purple grains with health benefits and blue grains for use in a new hybrid breeding technology, respectively. Our study thus reveals that white grain may be a favorable derived trait retained through natural or artificial selection in Triticeae and that the ancient blue-grain trait could be regained and reused in molecular breeding of modern wheat.

Metabolome genome-wide association analyses identify a splice mutation in AADAT affects lysine degradation in duck skeletal muscle

Metabolites in skeletal muscles play an important role in their growth, development, immunity and other physiological activities. However, the genetic basis of metabolites in skeletal muscle remains poorly understood. Here, we identified 247 candidate divergent regions containing 905 protein-coding genes closely related to metabolic pathways, including lysine degradation and fatty acid biosynthesis. We then profiled 3,060 metabolites in 246 skeletal muscle samples from F2 segregating population generated by mallard×Pekin duck crosses using metabolomic approaches. We identified 2,044 significant metabolome-based GWAS signals and 21 candidate genes potentially modulating metabolite contents in skeletal muscle. Among them, the levels of 2-aminoadipic acid in skeletal muscle were significantly correlated with body weight and intramuscular fat content, determined by a 939-bp CR1 LINE insertion in AADAT. We further found that the CR1 LINE insertion most possibly led to a splice mutation in AADAT, resulting in the downregulation of the lysine degradation pathway in skeletal muscle. Moreover, intramuscular fat content and fatty acids biosynthesis pathway was significantly increased in individuals with CR1 LINE insertion. This study enhances our understanding of the genetic basis of skeletal muscle metabolic traits and promotes the efficient utilization of metabolite traits in the genetic improvement of animals.

Parallel Selection in Domesticated Atlantic Salmon from Divergent Founders Including on Whole-Genome Duplication-derived Homeologous Regions

Domestication and artificial selection for desirable traits have driven significant phenotypic changes and left detectable genomic footprints in farmed animals. Since the 1960s, intensive breeding has led to the rapid domestication of Atlantic salmon (Salmo salar), with multiple independent events that make it a valuable model for studying early domestication stages and the parallel evolution of populations of different origins subjected to similar selection pressures. Some aquatic species, including Atlantic salmon, have undergone whole-genome duplication (WGD), raising the possibility that genetic redundancy resulting from WGD has contributed to adaptation in captive environments, as seen in plants. Here, we examined the genomic responses to domestication in Atlantic salmon, focusing on potential signatures of parallel selection, including those associated with WGD. Candidate genomic regions under selection were identified by comparing whole-genome sequences from aquaculture and wild populations across 2 independently domesticated lineages (Western Norway and North America) using a genome-wide scan that combined 3 statistical methods: allele frequencies (FST), site frequency (Tajima's D), and haplotype differentiation (XP-EHH). These analyses revealed shared selective sweeps on identical SNPs in major histocompatibility complex (MHC) genes across aquaculture populations. This suggests that a combination of long-term balancing selection and recent human-induced selection has shaped MHC gene evolution in domesticated salmon. Additionally, we observed selective sweeps on a small number of gene pairs in homeologous regions originating from WGD, offering insights into how historical genome duplication events may intersect with recent selection pressures in aquaculture species.

A telomere-to-telomere genome assembly coupled with multi-omic data provides insights into the evolution of hexaploid bread wheat

The complete assembly of vast and complex plant genomes, like the hexaploid wheat genome, remains challenging. Here we present CS-IAAS, a comprehensive telomere-to-telomere (T2T) gap-free Triticum aestivum L. genome, encompassing 14.51 billion base pairs and featuring all 21 centromeres and 42 telomeres. Annotation revealed 90.8 Mb additional centromeric satellite arrays and 5,611 rDNA units. Genome-wide rearrangements, centromeric elements, transposable element expansion and segmental duplications were deciphered during tetraploidization and hexaploidization, providing a comprehensive understanding of wheat subgenome evolution. Among them, transposable element insertions during hexaploidization greatly influenced gene expression balances, thus increasing the genome plasticity of transcriptional levels. Additionally, we generated 163,329 full-length cDNA sequences and proteomic data that helped annotate 141,035 high-confidence protein-coding genes. The complete T2T reference genome (CS-IAAS), along with its transcriptome and proteome, represents a significant step in our understanding of wheat genome complexity and provides insights for future wheat research and breeding.

Exploring the plant microbiome: A pathway to climate-smart crops

The advent of semi-dwarf crop varieties and fertilizers during the Green Revolution boosted yields and food security. However, unintended consequences such as environmental pollution and greenhouse gas emissions underscore the need for strategies to mitigate these impacts. Manipulating rhizosphere microbiomes, an aspect overlooked during crop domestication, offers a pathway for sustainable agriculture. We propose that modulating plant microbiomes can help establish "climate-smart crops" that improve yield and reduce negative impacts on the environment. Our proposed framework integrates plant genotype, root exudates, and microbes to optimize nutrient cycling, improve stress resilience, and expedite carbon sequestration. Integrating unselected ecological traits into crop breeding can promote agricultural sustainability, illuminating the nexus between plant genetics and ecosystem functioning.

Local Selection Shaped the Diversity of European Maize Landraces

The introduction of populations to novel environments can lead to a loss of genetic diversity and the accumulation of deleterious mutations due to selection and demographic changes. We investigate how the recent introduction of maize to Europe shaped the genetic diversity and differentiation of European traditional maize populations and quantify the impact of its recent range expansion and consecutive breeding on the accumulation of genetic load. We use genome-wide genetic markers of almost 2000 individuals from 38 landraces, 155 elite breeding lines, and a large set of doubled haploid lines derived from two landraces to find extensive population structure within European maize, with landraces being highly differentiated even over short geographic distances. Yet, diversity change does not follow the continuous pattern of range expansions. Landraces maintain high genetic diversity that is distinct between populations and does not decrease along the possible expansion routes. Signals of positive selection in European landraces that overlap with selection in Asian maize suggest convergent selection during maize introductions. At the same time, environmental factors partially explain genetic differences across Europe. Consistent with the maintenance of high diversity, we find no evidence of genetic load accumulating along the maize introduction route in European maize. However, modern breeding likely purged highly deleterious alleles but accumulated genetic load in elite germplasm. Our results reconstruct the history of maize in Europe and show that landraces have maintained high genetic diversity that could reduce genetic load in the European maize breeding pools.

Genomic analysis of Zhou8425B, a key founder parent, reveals its genetic contributions to elite agronomic traits in wheat breeding

High-quality genome information is essential for efficiently deciphering and improving crop traits. Here, we report a highly contiguous and accurate hexaploid genome assembly for the key wheat breeding parent Zhou8425B, an elite 1BL/1RS translocation line with durable adult plant resistance (APR) against yellow rust (YR) disease. By integrating HiFi and Hi-C sequencing reads, we have generated a 14.75-Gb genome assembly for Zhou8425B with a contig N50 of 70.94 and a scaffold N50 of 735.11 Mb. Comparisons with previously sequenced common wheat cultivars shed light on structural changes in the 1RS chromosome arm, which has been extensively used in wheat improvement. Interestingly, Zhou8425B 1RS carries more genes encoding AP2/ERF-ERF or B3 transcription factors than its counterparts in four previously sequenced wheat and rye genotypes. The Zhou8425B genome assembly aided in the fine mapping of a new APR locus (YrZH3BS) that confers resistance to YR disease and promotes grain yield under field conditions. Notably, pyramiding YrZH3BS with two previously characterized APR loci (YrZH22 and YrZH84) can further reduce YR severity and enhance grain yield, with the triple combination (YrZH3B + YrZH22 + YrZH84) having the greatest effect. Finally, the founder genotype effects of Zhou8425B were explored using publicly available genome resequencing data, which reveals the presence of important Zhou8425B genomic blocks in its derivative cultivars. Our data demonstrate the value of the Zhou8425B genome assembly for further study of the structural and functional characteristics of 1RS, the genetic basis of durable YR resistance, and founder genotype effects in wheat breeding. Our resources will facilitate the development of elite wheat cultivars through genomics-assisted breeding.

Impacts of reproductive systems on grapevine genome and breeding

Diversified reproductive systems can be observed in the plant kingdom and applied in crop breeding; however, their impacts on crop genomic variation and breeding remain unclear. Grapevine (Vitis vinifera L.), a widely planted fruit tree, underwent a shift from dioecism to monoecism during domestication and involves crossing, self-pollination, and clonal propagation for its cultivation. In this study, we discover that the reproductive types, namely, crossing, selfing, and cloning, dramatically impact genomic landscapes and grapevine breeding based on comparative genomic and population genetics of wild grapevine and a complex pedigree of Pinot Noir. The impacts are widely divergent, which show interesting patterns of genomic purging and the Hill-Robertson interference. Selfing reduces genomic heterozygosity, while cloning increases it, resulting in a "double U-shaped" site frequency spectrum (SFS). Crossing and cloning conceal while selfing purges most deleterious and structural burdens. Moreover, the close leakage of large-effect deleterious and structural variations in repulsion phases maintains heterozygous genomic regions in 4.3% of the grapevine genome after successive selfing for nine generations. Our study provides new insights into the genetic basis of clonal propagation and genomic breeding of clonal crops by purging deleterious variants while integrating beneficial variants through various reproductive systems.

Rice THIN CULM 4 (TC4) modulates culm strength by regulating morphology, structure, and development

Culm strength is crucial for rice growth, nutrition transportation, and structural resilience, which are essential for lodging resistance and stable production. In this study, we identified a rice thin culm mutant tc4, characterized by thinner culms and thicker cavity walls, resulting in weakened culm mechanical strength. Using map-based cloning, the candidate gene was isolated, and complementation and CRISPR/Cas9 experiments confirmed that a single nucleotide substitution in TC4 is responsible for the thin and brittle culm phenotype. TC4, a homolog of the FLORICAULA/LEAFY gene, localizes to the nucleus and cytoplasm. Further research revealed that TC4 regulates culm development by influencing plant hormones and sugar transport. This research not only advances our understanding of rice culm regulation, but also provides valuable insights for breeding lodging-resistant rice varieties.

Genetic diversity and dietary adaptations of the Central Plains Han Chinese population in East Asia

The Central Plains Han Chinese (CPHC) is the typical agricultural population of East Asia. Investigating the genome of the CPHC is crucial to understanding the genetic structure and adaptation of the modern humans in East Asia. Here, we perform whole genome sequencing of 492 CPHC individuals and obtained 22.65 million SNPs, 4.26 million INDELs and 41,959 SVs. We found the CPHC has a higher level of genetic diversity and the glycolipid metabolic genes show strong selection signals, e.g. LONP2, FADS2, FGF21 and SLC19A2. Ancient DNA analyses suggest that the domestication of crops, which drove the emergence of the candidate mutations. Notably, East Asian-specific SVs, e.g., DEL_21699 (LINC01749) and DEL_38406 (FAM102A) may be associated with the high prevalence of esophageal squamous carcinoma and primary angle-closure glaucoma. Our results provide an important genetic resource and show that dietary adaptations play an important role in phenotypic evolution in East Asian populations.

The developments and prospects of plant super-pangenomes: Demands, approaches, and applications

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.

Polymerization of beneficial plant height QTLs to develop superior lines which can achieving hybrid performance levels

Heterosis, a key technology in modern commercial maize breeding, is limited by the narrow genetic base which hinders breeders from developing superior hybrid varieties. By integrating big data and functional genomics technologies, it becomes possible to create new super maize inbred lines that resemble hybrid varieties through the aggregation of multiple QTL parental advantage loci. In this study, we utilized a combination of resequencing and field selfing selection methods to develop three pyramiding QTL lines (PQLs) (PQL4, 6, and 7), each containing 15, 12, and 12 QTL loci respectively. Among the three PQLs, PQL6 (266.78 cm/119.39 cm) demonstrated hybrid-like performance comparable to the hybrid (276.96 cm/127.02 cm) (P < 0.05). Testcross between PQL6 and the parental lines revealed that PQL6 had accumulated and fixed advanced parent alleles for superior traits in plant and ear height. The significant increase in PQL6 plant height primarily resulted from the aggregation of two major effective QTL (qEH2-1 and qEH8-1 on chromosomes 2 and 8), indicating that the aggregation of major effective QTL is a key selection indicator. Furthermore, PQL6 exhibited slow vegetative growth but experienced a rapid height increase during the reproductive stage, particularly in the 1-2 weeks before flowering, when its growth rate accelerated and surpassed that of the hybrid varieties. Our study explored the time period and key parameter indicators for molecular breeding of maize, providing a theoretical concept and practices for further complex multi-trait design and aggregation.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11032-025-01546-4.

Genomic selection and genetic architecture of agronomic traits during modern flowering Chinese cabbage breeding

Flowering Chinese cabbage is a type of leafy vegetable that belongs to the Brassica genus. Originally native to South China, it is now widely cultivated and consumed across the globe, particularly in Asian countries. The recent cultivation and regional expansion of flowering Chinese cabbage provides a valuable opportunity to elucidate the genomic basis underlying environmental adaptation and desired traits during a short-term artificial selection process. Here, we investigate the genetic variation, population structure, and diversity of a diverse germplasm collection of 403 flowering Chinese cabbage accessions. Our investigation seeks to elucidate the genomic basis that guides the selection of adaptability, yield, and pivotal agronomic traits. We further investigated breeding improvement associated with stem development by integrating transcriptome data. Genome-wide association analysis identified 642 loci and corresponding candidate genes associated with 11 essential agronomic traits, including plant architecture and yield. Furthermore, we uncovered a significant disparity in the allele frequency distribution of nonsynonymous mutations in these candidate genes throughout the improvement stages. Our results shed light on the genetic basis of improvement and crucial agronomic traits in flowering Chinese cabbage, offering invaluable resources for upcoming genomics-assisted breeding endeavors.

Cadmium phytoextraction by Sedum alfredii and Sedum plumbizincicola: mechanisms, challenges and prospects

Phytoextraction using natural cadmium (Cd) hyperaccumulators, notably Sedum alfredii and Sedum plumbizincicola, represents an economical and efficient approach for soil Cd purification. However, achieving high phytoremediation efficiency necessitates a comprehensive understanding of the mechanisms underlying Cd tolerance and accumulation in these plants. This review summarizes key mechanisms, encompassing Cd activation in the rhizosphere, uptake and transport in the roots, translocation via the xylem, and Cd tolerance. Additionally, physical, chemical, and biological strategies for enhancing phytoremediation efficiency are overviewed and compared. Despite advancements, disparities persist between field and laboratory research, posing certain limitations to the application of natural hyperaccumulators for large-scale phytoextraction or specific soil types. To address these challenges, we propose combining novel hyperaccumulating-like biomaterials with intelligent agriculture to achieve large-scale precision phytoremediation. Furthermore, we aim to draw attention to strategies for enhancing the phytoextraction potential of non-hyperaccumulator plants with high biomass production and stimulate further research into phytoextraction-inducing substances.

Refining polyploid breeding in sweet potato through allele dosage enhancement

Allele dosage plays a key role in the phenotypic variation of polyploids. Here we present a genome-wide variation map of hexaploid sweet potato that captures allele dosage information, constructed from deep sequencing of 294 hexaploid accessions. Genome-wide association studies identified quantitative trait loci with dosage effects on 23 agronomic traits. Our analyses reveal that sweet potato breeding has progressively increased the dosage of favourable alleles to enhance trait performance. Notably, the Mesoamerican gene pool has evolved towards higher dosages of favourable alleles at multiple loci, which have been increasingly introgressed into modern Chinese cultivars. We substantiated the breeding-driven dosage accumulation through transgenic validation of IbEXPA4, an expansin gene influencing tuberous root weight. In addition, we explored causative sequence variations that alter the expression of the Orange gene, which regulates flesh colour. Our findings illuminate the breeding history of sweet potato and establish a foundation for leveraging allele dosages in polyploid breeding practices.

Genomes and integrative genomic insights into the genetic architecture of main agronomic traits in the edible cherries

Cherries are one of the economically important fruit crops in the Rosaceae family, Prunus genus. As the first fruits of the spring season in the northern hemisphere, their attractive appearance, intensely desirable tastes, high nutrients content, and consumer-friendly size captivate consumers worldwide. In the past 30 years, although cherry geneticists and breeders have greatly progressed in understanding the genetic and molecular basis underlying fruit quality, adaptation to climate change, and biotic and abiotic stress resistance, the utilization of cherry genomic data in genetics and molecular breeding has remained limited to date. Here, we thoroughly investigated recent discoveries in constructing genetic linkage maps, identifying quantitative trait loci (QTLs), genome-wide association studies (GWAS), and validating functional genes of edible cherries based on available de novo genomes and genome resequencing data of edible cherries. We further comprehensively demonstrated the genetic architecture of the main agronomic traits of edible cherries by methodically integrating QTLs, GWAS loci, and functional genes into the identical reference genome with improved annotations. These collective endeavors will offer new perspectives on the availability of sequence data and the construction of an interspecific pangenome of edible cherries, ultimately guiding cherry breeding strategies and genetic improvement programs, and facilitating the exploration of similar traits and breeding innovations across Prunus species.

Genome editing in Sub-Saharan Africa: a game-changing strategy for climate change mitigation and sustainable agriculture

Sub-Saharan Africa's agricultural sector faces a multifaceted challenge due to climate change consisting of high temperatures, changing precipitation trends, alongside intensified pest and disease outbreaks. Conventional plant breeding methods have historically contributed to yield gains in Africa, and the intensifying demand for food security outpaces these improvements due to a confluence of factors, including rising urbanization, improved living standards, and population growth. To address escalating food demands amidst urbanization, rising living standards, and population growth, a paradigm shift toward more sustainable and innovative crop improvement strategies is imperative. Genome editing technologies offer a promising avenue for achieving sustained yield increases while bolstering resilience against escalating biotic and abiotic stresses associated with climate change. Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR-associated protein (CRISPR/Cas) is unique due to its ubiquity, efficacy, alongside precision, making it a pivotal tool for Sub-Saharan African crop improvement. This review highlights the challenges and explores the prospect of gene editing to secure the region's future foods.

Soybean Oil and Protein: Biosynthesis, Regulation and Strategies for Genetic Improvement

Soybean (Glycine max [L.] Merr.) is one of the world's most important sources of oil and vegetable protein. Much of the energy required for germination and early growth of soybean seeds is stored in fatty acids, mainly as triacylglycerols (TAGs), and the main seed storage proteins are β-conglycinin (7S) and glycinin (11S). Recent research advances have deepened our understanding of the biosynthetic pathways and transcriptional regulatory networks that control fatty acid and protein synthesis in organelles such as the plastid, ribosome and endoplasmic reticulum. Here, we review the composition and biosynthetic pathways of soybean oils and proteins, summarizing the key enzymes and transcription factors that have recently been shown to regulate oil and protein synthesis/metabolism. We then discuss the newest genomic strategies for manipulating these genes to increase the food value of soybeans, highlighting important priorities for future research and genetic improvement of this staple crop.

Application of CRISPR/Cas9 Technology in Rice Germplasm Innovation and Genetic Improvement

Improving the efficiency of germplasm innovation has always been the aim of rice breeders. Traditional hybrid breeding methods for variety selection rarely meet the practical needs of rice production. The emergence of genome-editing technologies, such as CRISPR/Cas9, provides a new approach to the genetic improvement of crops such as rice. The number of published scientific papers related to "gene editing" and "CRISPR/Cas9" retrievable on websites both from China and other countries exhibited an increasing trend, year by year, from 2014 to 2023. Research related to gene editing in rice accounts for 33.4% and 12.3% of all the literature on gene editing published in China and other countries, respectively, much higher than that on maize and wheat. This article reviews recent research on CRISPR/Cas9 gene-editing technology in rice, especially germplasm innovation and genetic improvement of commercially promoted varieties with improved traits such as disease, insect, and herbicide resistance, salt tolerance, quality, nutrition, and safety. The aim is to provide a reference for the precise and efficient development of new rice cultivars that meet market demand.

On the evolution and genetic diversity of the bread wheat D genome

Bread wheat (Triticum aestivum) became a globally dominant crop after incorporating the D genome from the donor species Aegilops tauschii, but the evolutionary history that shaped the D genome during this process remains to be clarified. Here, we propose a renewed evolutionary model linking Ae. tauschii and the hexaploid wheat D genome by constructing an ancestral haplotype map covering 762 Ae. tauschii and hexaploid wheat accessions. We dissected the evolutionary trajectories of Ae. tauschii lineages and reported a few independent intermediate accessions, demonstrating that low-frequency inter-sublineage gene flow had enriched the diversity of Ae. tauschii. We discovered that the D genome of hexaploid wheat was inherited from a unified ancestral template, but with a mosaic composition that was highly mixed and derived mainly from three Ae. tauschii L2 sublineages located in the Caspian coastal region. This result suggests that early agricultural activities facilitated innovations in D-genome composition and finalized the success of hexaploidization. We found that the majority (51.4%) of genetic diversity was attributed to novel mutations absent in Ae. tauschii, and we identified large Ae. tauschii introgressions from various lineages, which expanded the diversity of the wheat D genome and introduced beneficial alleles. This work sheds light on the process of wheat hexaploidization and highlights the evolutionary significance of the multi-layered genetic diversity of the bread wheat D genome.

Convergence and divergence of diploid and tetraploid cotton genomes

Polyploidy is an important driving force in speciation and evolution; however, the genomic basis for parallel selection of a particular trait between polyploids and ancestral diploids remains unexplored. Here we construct graph-based pan-genomes for diploid (A2) and allotetraploid (AD1) cotton species, enabled by an assembly of 50 genomes of genetically diverse accessions. We delineate a mosaic genome map of tetraploid cultivars that illustrates genomic contributions from semi-wild forms into modern cultivars. Pan-genome comparisons identify syntenic and hyper-divergent regions of continued variation between diploid and tetraploid cottons, and suggest an ongoing process of sequence evolution potentially linked to the contrasting genome size change in two subgenomes. We highlight 43% of genetic regulatory relationships for gene expression in diploid encompassing sequence divergence after polyploidy, and specifically characterize six underexplored convergent genetic loci contributing to parallel selection of fiber quality. This study offers a framework for pan-genomic dissection of genetic regulatory components underlying parallel selection of desirable traits in organisms.

Genomic prediction of cereal crop architectural traits using models informed by gene regulatory circuitries from maize

Plant architecture is a major determinant of planting density, which enhances productivity potential for crops per unit area. Genomic prediction is well positioned to expedite genetic gain of plant architectural traits since they are typically highly heritable. Additionally, the adaptation of genomic prediction models to query predictive abilities of markers tagging certain genomic regions could shed light on the genetic architecture of these traits. Here, we leveraged transcriptional networks from a prior study that contextually described developmental progression during tassel and leaf organogenesis in maize (Zea mays) to inform genomic prediction models for architectural traits. Since these developmental processes underlie tassel branching and leaf angle, 2 important agronomic architectural traits, we tested whether genes prioritized from these networks quantitatively contribute to the genetic architecture of these traits. We used genomic prediction models to evaluate the ability of markers in the vicinity of prioritized network genes to predict breeding values of tassel branching and leaf angle traits for 2 diversity panels in maize and diversity panels from sorghum (Sorghum bicolor) and rice (Oryza sativa). Predictive abilities of markers near these prioritized network genes were similar to those using whole-genome marker sets. Notably, markers near highly connected transcription factors from core network motifs in maize yielded predictive abilities that were significantly greater than expected by chance in not only maize but also closely related sorghum. We expect that these highly connected regulators are key drivers of architectural variation that are conserved across closely related cereal crop species.

Hybrid Prediction in Horticulture Crop Breeding: Progress and Challenges

In the context of rapidly increasing population and diversified market demands, the steady improvement of yield and quality in horticultural crops has become an urgent challenge that modern breeding efforts must tackle. Heterosis, a pivotal theoretical foundation for plant breeding, facilitates the creation of superior hybrids through crossbreeding and selection among a variety of parents. However, the vast number of potential hybrids presents a significant challenge for breeders in efficiently predicting and selecting the most promising candidates. The development and refinement of effective hybrid prediction methods have long been central to research in this field. This article systematically reviews the advancements in hybrid prediction for horticultural crops, including the roles of marker-assisted breeding and genomic prediction in phenotypic forecasting. It also underscores the limitations of some predictors, like genetic distance, which do not consistently offer reliable hybrid predictions. Looking ahead, it explores the integration of phenomics with genomic prediction technologies as a means to elevate prediction accuracy within actual breeding programs.

Artificial intelligence in plant breeding

Harnessing cutting-edge technologies to enhance crop productivity is a pivotal goal in modern plant breeding. Artificial intelligence (AI) is renowned for its prowess in big data analysis and pattern recognition, and is revolutionizing numerous scientific domains including plant breeding. We explore the wider potential of AI tools in various facets of breeding, including data collection, unlocking genetic diversity within genebanks, and bridging the genotype-phenotype gap to facilitate crop breeding. This will enable the development of crop cultivars tailored to the projected future environments. Moreover, AI tools also hold promise for refining crop traits by improving the precision of gene-editing systems and predicting the potential effects of gene variants on plant phenotypes. Leveraging AI-enabled precision breeding can augment the efficiency of breeding programs and holds promise for optimizing cropping systems at the grassroots level. This entails identifying optimal inter-cropping and crop-rotation models to enhance agricultural sustainability and productivity in the field.

Pleiotropic phenotypic effects of the TaCYP78A family on multiple yield-related traits in wheat

Increasing crop yield depends on selecting and utilizing pleiotropic genes/alleles to improve multiple yield-related traits (YRTs) during crop breeding. However, synergistic improvement of YRTs is challenging due to the trade-offs between YRTs in breeding practices. Here, the favourable haplotypes of the TaCYP78A family are identified by analysing allelic variations in 1571 wheat accessions worldwide, demonstrating the selection and utilization of pleiotropic genes to improve yield and related traits during wheat breeding. The TaCYP78A family members, including TaCYP78A3, TaCYP78A5, TaCYP78A16, and TaCYP78A17, are organ size regulators expressed in multiple organs, and their allelic variations associated with various YRTs. However, due to the trade-offs between YRTs, knockdown or overexpression of TaCYP78A family members does not directly increase yield. Favourable haplotypes of the TaCYP78A family, namely A3/5/16/17Ap-Hap II, optimize the expression levels of TaCYP78A3/5/16/17-A across different wheat organs to overcome trade-offs and improve multiple YRTs. Different favourable haplotypes have both complementary and specific functions in improving YRTs, and their aggregation in cultivars under strong artificial selection greatly increase yield, even under various planting environments and densities. These findings provide new support and valuable genetic resources for molecular breeding of wheat and other crops in the era of Breeding 4.0.

Targeted genome-modification tools and their advanced applications in crop breeding

Crop improvement by genome editing involves the targeted alteration of genes to improve plant traits, such as stress tolerance, disease resistance or nutritional content. Techniques for the targeted modification of genomes have evolved from generating random mutations to precise base substitutions, followed by insertions, substitutions and deletions of small DNA fragments, and are finally starting to achieve precision manipulation of large DNA segments. Recent developments in base editing, prime editing and other CRISPR-associated systems have laid a solid technological foundation to enable plant basic research and precise molecular breeding. In this Review, we systematically outline the technological principles underlying precise and targeted genome-modification methods. We also review methods for the delivery of genome-editing reagents in plants and outline emerging crop-breeding strategies based on targeted genome modification. Finally, we consider potential future developments in precise genome-editing technologies, delivery methods and crop-breeding approaches, as well as regulatory policies for genome-editing products.

Artificial selection of mutations in two nearby genes gave rise to shattering resistance in soybean

Resistance to pod shattering is a key domestication-related trait selected for seed production in many crops. Here, we show that the transition from shattering in wild soybeans to shattering resistance in cultivated soybeans resulted from selection of mutations within the coding sequences of two nearby genes - Sh1 and Pdh1. Sh1 encodes a C2H2-like zinc finger transcription factor that promotes shattering by repressing SHAT1-5 expression, thereby reducing the secondary wall thickness of fiber cap cells in the abscission layers of pod sutures, while Pdh1 encodes a dirigent protein that orchestrates asymmetric lignin distribution in inner sclerenchyma, creating torsion in pod walls that facilitates shattering. Integration analyses of quantitative trait locus mapping, genome-wide association studies, and allele distribution in representative soybean germplasm suggest that these two genes are primary modulators underlying this domestication trait. Our study thus provides comprehensive understanding regarding the genetic, molecular, and cellular bases of shattering resistance in soybeans.

Chromosome-level scaffolding of haplotype-resolved assemblies using Hi-C data without reference genomes

Scaffolding is crucial for constructing most chromosome-level genomes. The high-throughput chromatin conformation capture (Hi-C) technology has become the primary scaffolding strategy due to its convenience and cost-effectiveness. As sequencing technologies and assembly algorithms advance, constructing haplotype-resolved genomes is increasingly preferred because haplotypes can provide additional genetic information on allelic and non-allelic variations. ALLHiC is a widely used allele-aware scaffolding tool designed for this purpose. However, its dependence on chromosome-level reference genomes and a higher chromosome misassignment rate still impede the unravelling of haplotype-resolved genomes. Here we present HapHiC, a reference-independent allele-aware scaffolding tool with superior performance on chromosome assignment as well as contig ordering and orientation. In addition, we provide new insights into the challenges in allele-aware scaffolding by conducting comprehensive analyses on various adverse factors. Finally, with the help of HapHiC, we constructed the haplotype-resolved allotriploid genome for Miscanthus × giganteus, an important lignocellulosic bioenergy crop.

Genomic investigation of 18,421 lines reveals the genetic architecture of rice

Understanding how numerous quantitative trait loci (QTL) shape phenotypic variation is an important question in genetics. To address this, we established a permanent population of 18,421 (18K) rice lines with reduced population structure. We generated reference-level genome assemblies of the founders and genotyped all 18K-rice lines through whole-genome sequencing. Through high-resolution mapping, 96 high-quality candidate genes contributing to variation in 16 traits were identified, including OsMADS22 and OsFTL1 verified as causal genes for panicle number and heading date, respectively. We identified epistatic QTL pairs and constructed a genetic interaction network with 19 genes serving as hubs. Overall, 170 masking epistasis pairs were characterized, serving as an important factor contributing to genetic background effects across diverse varieties. The work provides a basis to guide grain yield and quality improvements in rice.

Exploring crop genomes: assembly features, gene prediction accuracy, and implications for proteomics studies

Plant genomics plays a pivotal role in enhancing global food security and sustainability by offering innovative solutions for improving crop yield, disease resistance, and stress tolerance. As the number of sequenced genomes grows and the accuracy and contiguity of genome assemblies improve, structural annotation of plant genomes continues to be a significant challenge due to their large size, polyploidy, and rich repeat content. In this paper, we present an overview of the current landscape in crop genomics research, highlighting the diversity of genomic characteristics across various crop species. We also assessed the accuracy of popular gene prediction tools in identifying genes within crop genomes and examined the factors that impact their performance. Our findings highlight the strengths and limitations of BRAKER2 and Helixer as leading structural genome annotation tools and underscore the impact of genome complexity, fragmentation, and repeat content on their performance. Furthermore, we evaluated the suitability of the predicted proteins as a reliable search space in proteomics studies using mass spectrometry data. Our results provide valuable insights for future efforts to refine and advance the field of structural genome annotation.

Comparative population genomics reveals convergent and divergent selection in the apricot-peach-plum-mei complex

The economically significant genus Prunus includes fruit and nut crops that have been domesticated for shared and specific agronomic traits; however, the genomic signals of convergent and divergent selection have not been elucidated. In this study, we aimed to detect genomic signatures of convergent and divergent selection by conducting comparative population genomic analyses of the apricot-peach-plum-mei (APPM) complex, utilizing a haplotype-resolved telomere-to-telomere (T2T) genome assembly and population resequencing data. The haplotype-resolved T2T reference genome for the plum cultivar was assembled through HiFi and Hi-C reads, resulting in two haplotypes 251.25 and 251.29 Mb in size, respectively. Comparative genomics reveals a chromosomal translocation of ~1.17 Mb in the apricot genomes compared with peach, plum, and mei. Notably, the translocation involves the D locus, significantly impacting titratable acidity (TA), pH, and sugar content. Population genetic analysis detected substantial gene flow between plum and apricot, with introgression regions enriched in post-embryonic development and pollen germination processes. Comparative population genetic analyses revealed convergent selection for stress tolerance, flower development, and fruit ripening, along with divergent selection shaping specific crop, such as somatic embryogenesis in plum, pollen germination in mei, and hormone regulation in peach. Notably, selective sweeps on chromosome 7 coincide with a chromosomal collinearity from the comparative genomics, impacting key fruit-softening genes such as PG, regulated by ERF and RMA1H1. Overall, this study provides insights into the genetic diversity, evolutionary history, and domestication of the APPM complex, offering valuable implications for genetic studies and breeding programs of Prunus crops.

Population comparative genomics discovers gene gain and loss during grapevine domestication

Plant domestication are evolutionary experiments conducted by early farmers since thousands years ago, during which the crop wild progenitors are artificially selected for desired agronomic traits along with dramatic genomic variation in the course of moderate to severe bottlenecks. However, previous investigations are mainly focused on small-effect variants, while changes in gene contents are rarely investigated due to the lack of population-level assemblies for both the crop and its wild relatives. Here, we applied comparative genomic analyses to discover gene gain and loss during grapevine domestication using long-read assemblies of representative population samples for both domesticated grapevines (V. vinifera ssp. vinifera) and their wild progenitors (V. vinifera ssp. sylvestris). Only ∼7% of gene families were shared by 16 Vitis genomes while ∼8% of gene families were specific to each accession, suggesting dramatic variations of gene contents in grapevine genomes. Compared to wild progenitors, the domesticated accessions exhibited an increased presence of genes associated with asexual reproduction, while the wild progenitors showcased a higher abundance of genes related to pollination, revealing the transition from sexual reproduction to clonal propagation during domestication processes. Moreover, the domesticated accessions harbored fewer disease-resistance genes than wild progenitors. The SVs occurred frequently in aroma and disease-resistance related genes between domesticated grapevines and wild progenitors, indicating the rapid diversification of these genes during domestication. Our study provides insights and resources for biological studies and breeding programs in grapevine.

Exploring the patterns of evolution: Core thoughts and focus on the saltational model

The Modern Synthesis, a pillar in biological thought, united Darwin's species origin concepts with Mendel's laws of character heredity, providing a comprehensive understanding of evolution within species. Highlighting phenotypic variation and natural selection, it elucidated the environment's role as a selective force, shaping populations over time. This framework integrated additional mechanisms, including genetic drift, random mutations, and gene flow, predicting their cumulative effects on microevolution and the emergence of new species. Beyond the Modern Synthesis, the Extended Evolutionary Synthesis expands perspectives by recognizing the role of developmental plasticity, non-genetic inheritance, and epigenetics. We suggest that these aspects coexist in the plant evolutionary process; in this context, we focus on the saltational model, emphasizing how saltation events, such as dichotomous saltation, chromosomal mutations, epigenetic phenomena, and polyploidy, contribute to rapid evolutionary changes. The saltational model proposes that certain evolutionary changes, such as the rise of new species, may result suddenly from single macromutations rather than from gradual changes in DNA sequences and allele frequencies within a species over time. These events, observed in domesticated and wild higher plants, provide well-defined mechanistic bases, revealing their profound impact on plant diversity and rapid evolutionary events. Notably, next-generation sequencing exposes the likely crucial role of allopolyploidy and autopolyploidy (saltational events) in generating new plant species, each characterized by distinct chromosomal complements. In conclusion, through this review, we offer a thorough exploration of the ongoing dissertation on the saltational model, elucidating its implications for our understanding of plant evolutionary processes and paving the way for continued research in this intriguing field.

Generation of transgene-free canker-resistant Citrus sinensis cv. Hamlin in the T0 generation through Cas12a/CBE co-editing

Citrus canker disease affects citrus production. This disease is caused by Xanthomonas citri subsp. citri (Xcc). Previous studies confirmed that during Xcc infection, PthA4, a transcriptional activator like effector (TALE), is translocated from the pathogen to host plant cells. PthA4 binds to the effector binding elements (EBEs) in the promoter region of canker susceptibility gene LOB1 (EBEPthA4-LOBP) to activate its expression and subsequently cause canker symptoms. Previously, the Cas12a/CBE co-editing method was employed to disrupt EBEPthA4-LOBP of pummelo, which is highly homozygous. However, most commercial citrus cultivars are heterozygous hybrids and more difficult to generate homozygous/biallelic mutants. Here, we employed Cas12a/CBE co-editing method to edit EBEPthA4-LOBP of Hamlin (Citrus sinensis), a commercial heterozygous hybrid citrus cultivar grown worldwide. Binary vector GFP-p1380N-ttLbCas12a:LOBP1-mPBE:ALS2:ALS1 was constructed and shown to be functional via Xcc-facilitated agroinfiltration in Hamlin leaves. This construct allows the selection of transgene-free regenerants via GFP, edits ALS to generate chlorsulfuron-resistant regenerants as a selection marker for genome editing resulting from transient expression of the T-DNA via nCas9-mPBE:ALS2:ALS1, and edits gene(s) of interest (i.e., EBEPthA4-LOBP in this study) through ttLbCas12a, thus creating transgene-free citrus. Totally, 77 plantlets were produced. Among them, 8 plantlets were transgenic plants (#HamGFP1 - #HamGFP8), 4 plantlets were transgene-free (#HamNoGFP1 - #HamNoGFP4), and the rest were wild type. Among 4 transgene-free plantlets, three lines (#HamNoGFP1, #HamNoGFP2 and #HamNoGFP3) contained biallelic mutations in EBEpthA4, and one line (#HamNoGFP4) had homozygous mutations in EBEpthA4. We achieved 5.2% transgene-free homozygous/biallelic mutation efficiency for EBEPthA4-LOBP in C. sinensis cv. Hamlin, compared to 1.9% mutation efficiency for pummelo in a previous study. Importantly, the four transgene-free plantlets and 3 transgenic plantlets that survived were resistant against citrus canker. Taken together, Cas12a/CBE co-editing method has been successfully used to generate transgene-free canker-resistant C. sinensis cv. Hamlin in the T0 generation via biallelic/homozygous editing of EBEpthA4 of the canker susceptibility gene LOB1.

Genomic insight into the origin, domestication, dispersal, diversification and human selection of Tartary buckwheat

BACKGROUND

Tartary buckwheat, Fagopyrum tataricum, is a pseudocereal crop with worldwide distribution and high nutritional value. However, the origin and domestication history of this crop remain to be elucidated.

RESULTS

Here, by analyzing the population genomics of 567 accessions collected worldwide and reviewing historical documents, we find that Tartary buckwheat originated in the Himalayan region and then spread southwest possibly along with the migration of the Yi people, a minority in Southwestern China that has a long history of planting Tartary buckwheat. Along with the expansion of the Mongol Empire, Tartary buckwheat dispersed to Europe and ultimately to the rest of the world. The different natural growth environments resulted in adaptation, especially significant differences in salt tolerance between northern and southern Chinese Tartary buckwheat populations. By scanning for selective sweeps and using a genome-wide association study, we identify genes responsible for Tartary buckwheat domestication and differentiation, which we then experimentally validate. Comparative genomics and QTL analysis further shed light on the genetic foundation of the easily dehulled trait in a particular variety that was artificially selected by the Wa people, a minority group in Southwestern China known for cultivating Tartary buckwheat specifically for steaming as a staple food to prevent lysine deficiency.

CONCLUSIONS

This study provides both comprehensive insights into the origin and domestication of, and a foundation for molecular breeding for, Tartary buckwheat.

Future-Proofing Agriculture: De Novo Domestication for Sustainable and Resilient Crops

The worldwide agricultural system confronts a significant challenge represented by the increasing demand for food in the face of a growing global population. This challenge is exacerbated by a reduction in cultivable land and the adverse effects of climate change on crop yield quantity and quality. Breeders actively embrace cutting-edge omics technologies to pursue resilient genotypes in response to these pressing issues. In this global context, new breeding techniques (NBTs) are emerging as the future of agriculture, offering a solution to introduce resilient crops that can ensure food security, particularly against challenging climate events. Indeed, the search for domestication genes as well as the genetic modification of these loci in wild species using genome editing tools are crucial steps in carrying out de novo domestication of wild plants without compromising their genetic background. Current knowledge allows us to take different paths from those taken by early Neolithic farmers, where crop domestication has opposed natural selection. In this process traits and alleles negatively correlated with high resource environment performance are probably eradicated through artificial selection, while others may have been lost randomly due to domestication and genetic bottlenecks. Thus, domestication led to highly productive plants with little genetic diversity, owing to the loss of valuable alleles that had evolved to tolerate biotic and abiotic stresses. Recent technological advances have increased the feasibility of de novo domestication of wild plants as a promising approach for crafting optimal crops while ensuring food security and using a more sustainable, low-input agriculture. Here, we explore what crucial domestication genes are, coupled with the advancement of technologies enabling the precise manipulation of target sequences, pointing out de novo domestication as a promising application for future crop development.

Climate Change-The Rise of Climate-Resilient Crops

Climate change disrupts food production in many regions of the world. The accompanying extreme weather events, such as droughts, floods, heat waves, and cold snaps, pose threats to crops. The concentration of carbon dioxide also increases in the atmosphere. The United Nations is implementing the climate-smart agriculture initiative to ensure food security. An element of this project involves the breeding of climate-resilient crops or plant cultivars with enhanced resistance to unfavorable environmental conditions. Modern agriculture, which is currently homogeneous, needs to diversify the species and cultivars of cultivated plants. Plant breeding programs should extensively incorporate new molecular technologies, supported by the development of field phenotyping techniques. Breeders should closely cooperate with scientists from various fields of science.

A platform for whole-genome speed introgression from Aegilops tauschii to wheat for breeding future crops

Breeding new and sustainable crop cultivars of high yields and desirable traits has been a major challenge for ensuring food security for the growing global human population. For polyploid crops such as wheat, introducing genetic variation from wild relatives of its subgenomes is a key strategy to improve the quality of their breeding pools. Over the past decades, considerable progress has been made in speed breeding, genome sequencing, high-throughput phenotyping and genomics-assisted breeding, which now allows us to realize whole-genome introgression from wild relatives to modern crops. Here, we present a standardized protocol to rapidly introgress the entire genome of Aegilops tauschii, the progenitor of the D subgenome of bread wheat, into elite wheat backgrounds. This protocol integrates multiple modern high-throughput technologies and includes three major phases: development of synthetic octaploid wheat, generation of hexaploid A. tauschii-wheat introgression lines (A-WIs) and homozygosis of the generated A-WIs. Our approach readily generates stable introgression lines in 2 y, thus greatly accelerating the generation of A-WIs and the introduction of desirable genes from A. tauschii to wheat cultivars. These A-WIs are valuable for wheat-breeding programs and functional gene discovery. The current protocol can be easily modified and used for introgressing the genomes of wild relatives to other polyploid crops.

The role and pathway of VQ family in plant growth, immunity, and stress response

MAIN CONCLUSION

This review provides a detailed description of the function and mechanism of VQ family gene, which is helpful for further research and application of VQ gene resources to improve crops. Valine-glutamine (VQ) motif-containing proteins are a large class of transcriptional regulatory cofactors. VQ proteins have their own unique molecular characteristics. Amino acids are highly conserved only in the VQ domain, while other positions vary greatly. Most VQ genes do not contain introns and the length of their proteins is less than 300 amino acids. A majority of VQ proteins are predicted to be localized in the nucleus. The promoter of many VQ genes contains stress or growth related elements. Segment duplication and tandem duplication are the main amplification mechanisms of the VQ gene family in angiosperms and gymnosperms, respectively. Purification selection plays a crucial role in the evolution of many VQ genes. By interacting with WRKY, MAPK, and other proteins, VQ proteins participate in the multiple signaling pathways to regulate plant growth and development, as well as defense responses to biotic and abiotic stresses. Although there have been some reports on the VQ gene family in plants, most of them only identify family members, with little functional verification, and there is also a lack of complete, detailed, and up-to-date review of research progress. Here, we comprehensively summarized the research progress of VQ genes that have been published so far, mainly including their molecular characteristics, biological functions, importance of VQ motif, and working mechanisms. Finally, the regulatory network and model of VQ genes were drawn, a precise molecular breeding strategy based on VQ genes was proposed, and the current problems and future prospects were pointed out, providing a powerful reference for further research and utilization of VQ genes in plant improvement.

Genetic interrogation of phenotypic plasticity informs genome-enabled breeding in cotton

Phenotypic plasticity, or the ability to adapt to and thrive in changing climates and variable environments, is essential for developmental programs in plants. Despite its importance, the genetic underpinnings of phenotypic plasticity for key agronomic traits remain poorly understood in many crops. In this study, we aim to fill this gap by using genome-wide association studies to identify genetic variations associated with phenotypic plasticity in upland cotton (Gossypium hirsutum L.). We identified 73 additive quantitative trait loci (QTLs), 32 dominant QTLs, and 6799 epistatic QTLs associated with 20 traits. We also identified 117 additive QTLs, 28 dominant QTLs, and 4691 epistatic QTLs associated with phenotypic plasticity in 19 traits. Our findings reveal new genetic factors, including additive, dominant, and epistatic QTLs, that are linked to phenotypic plasticity and agronomic traits. Meanwhile, we find that the genetic factors controlling the mean phenotype and phenotypic plasticity are largely independent in upland cotton, indicating the potential for simultaneous improvement. Additionally, we envision a genomic design strategy by utilizing the identified QTLs to facilitate cotton breeding. Taken together, our study provides new insights into the genetic basis of phenotypic plasticity in cotton, which should be valuable for future breeding.