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Background China is the largest producer of sweet potato in the world, accounting for 57.0% of the global output. Germplasm resources are the basis for promoting innovations in the seed industry and ensuring food security. Individual and accurate identification of sweet potato germplasm is an important part of conservation and efficient utilization. Results In this study, nine pairs of simple sequence repeat molecular markers and 16 morphological markers were used to construct genetic fingerprints for sweet potato individual identification. Combined with basic information, typical phenotypic photographs, genotype peak graphs, and a two-dimensional code for detection and identification were generated. Finally, a genetic fingerprint database containing 1021 sweet potato germplasm resources in the “National Germplasm Guangzhou Sweet Potato Nursery Genebank in China” was constructed. Genetic diversity analysis of the 1021 sweet potato genotypes using the nine pairs of simple sequence repeat markers revealed a narrow genetic variation range of Chinese native sweet potato germplasm resources, and Chinese germplasm was close to that from Japan and the United States, far from that from the Philippines and Thailand, and the furthest from that from Peru. Sweet potato germplasm resources from Peru had the richest genetic diversity, supporting the view that Peru is the center of origin and domestication of sweet potato varieties. Conclusions Overall, this study provides scientific guidance for the conservation, identification, and utilization of sweet potato germplasm resources and offers a reference to facilitate the discovery of important genes to boost sweet potato breeding.

Phosphorus deficiency poses a significant challenge to the growth and productivity of crops, particularly in nutrient-poor soils. This study investigates the effects of phosphorus deficiency on the growth, endogenous phytohormones, metabolome, and transcriptome of sweet potato (Ipomoea batatas L.) over a growth period from 30 to 120 days. We found that low phosphorus conditions significantly reduced both above- and below-ground biomass, while tuber number remained unchanged. Endogenous phytohormone analysis revealed altered levels of abscisic acid (ABA), indole-3-acetic acid (IAA), and cytokinins, indicating a complex hormonal response to phosphorus starvation. Transcriptomic analysis identified a total of 6324 differentially expressed genes (DEGs) at 60 days, with significant enrichment in pathways related to stress response and phosphorus utilization (PAPs and PHO1). Metabolomic profiling revealed notable shifts in key metabolites, with consistent downregulation of several phosphorous-related compounds. Our findings highlight the intricate interplay between growth, hormonal regulation, metabolic reprogramming, and gene expression in response to phosphorus deficiency in sweet potato. This research underscores the importance of understanding nutrient stress responses to enhance sweet potato resilience and inform sustainable agricultural practices. Future research should focus on exploring the potential for genetic and agronomic interventions to mitigate the effects of phosphorus deficiency and optimize sweet potato productivity in challenging environments.

Cross-incompatibility, frequently happening in intraspecific varieties, has seriously restricted sweetpotato breeding. However, the mechanism of sweetpotato intraspecific cross-incompatibility (ICI) remains largely unexplored, especially for molecular mechanism. Treatment by inducible reagent developed by our lab provides a method to generate material for mechanism study, which could promote incompatible pollen germination and tube growth in the ICI group. Based on the differential phenotypes between treated and untreated samples, transcriptome and metabolome were employed to explore the molecular mechanism of sweetpotato ICI in this study, taking varieties ‘Guangshu 146’ and ‘Shangshu 19’, a typical incompatible combination, as materials. The results from transcriptome analysis showed oxidation–reduction, cell wall metabolism, plant–pathogen interaction, and plant hormone signal transduction were the essential pathways for sweetpotato ICI regulation. The differentially expressed genes (DEGs) enriched in these pathways were the important candidate genes to response ICI. Metabolome analysis showed that multiple differential metabolites (DMs) involved oxidation–reduction were identified. The most significant DM identified in comparison between compatible and incompatible samples was vitexin-2-O-glucoside, a flavonoid metabolite. Corresponding to it, cytochrome P450s were the most DEGs identified in oxidation–reduction, which were implicated in flavonoid biosynthesis. It further suggested oxidation–reduction play an important role in sweetpotato ICI regulation. To validate function of oxidation–reduction, reactive oxygen species (ROS) was detected in compatible and incompatible samples. The green fluorescence was observed in incompatible but not in compatible samples. It indicated ROS regulated by oxidation–reduction is important pathway to response sweetpotato ICI. The results in this study would provide valuable insights into molecular mechanisms for sweetpotato ICI.

Single-cell transcriptome sequencing (scRNA-seq) is a powerful tool for describing the transcriptome dynamics of plant development but has not yet been utilized to analyze the tissue ontology of sweetpotato. This study established a stable method for isolating single protoplast cells for scRNA-seq to reveal the cell heterogeneity of sweetpotato root tip meristems at the single-cell level. The study analyzed 12,172 single cells and 27,355 genes in the root tips of the sweetpotato variety Guangshu 87, which were distributed into 15 cell clusters. Pseudo-time analysis showed that there were transitional cells in the apical development trajectory of mature cell types from stem cell niches. Furthermore, we identified novel development regulators of sweetpotato tubers via trajectory analysis. The transcription factor IbGATA4 was highly expressed in the adventitious roots during the development of sweetpotato root tips, where it may regulate the development of sweetpotato root tips. In addition, significant differences were observed in the transcriptional profiles of cell types between sweetpotato, Arabidopsis thaliana , and maize. This study mapped the single-cell transcriptome of sweetpotato root tips, laying a foundation for studying the types, functions, differentiation, and development of sweetpotato root tip cells. Highlights This is the first single-cell transcriptional atlas of sweetpotato root apex tissue. Single-cell analysis of stem cell niche initiation showed unique transitional states. Sweetpotato, Arabidopsis , and maize root tip cell types were correlated. GATA4 may be involved in regulating sweetpotato root tip development.

This study investigates the early detection of sweet potato scab by using hyperspectral imaging and machine learning techniques. The research focuses on developing an accurate, economical, and non-destructive approach for disease detection and grading. Hyperspectral imaging experiments were conducted on two sweet potato varieties: Guangshu 87 (resistant) and Guicaishu 2 (susceptible). Data preprocessing included denoising, region of interest (ROI) selection, and average spectrum extraction, followed by dimensionality reduction using principal component analysis (PCA) and random forest (RF) feature selection. A novel dynamic grading method based on spectral-time data was introduced to classify the early stages of the disease, including the early latent and early mild periods. This method identified significant temporal spectral changes, enabling a refined disease staging framework. Key wavebands associated with sweet potato scab were identified in the near-infrared range, including 801.8 nm, 769.8 nm, 898.5 nm, 796.4 nm, and 780.5 nm. Classification models, including K-nearest neighbor (KNN), support vector machine (SVM), and linear discriminant analysis (LDA), were constructed to evaluate the effectiveness of spectral features. Among these classification models, the MSC-PCA-SVM model demonstrated the best performance. Specifically, the Susceptible Variety Disease Classification Model achieved an overall accuracy (OA) of 98.65%, while the Combined Variety Disease Classification Model reached an OA of 95.38%. The results highlight the potential of hyperspectral imaging for early disease detection, particularly for non-destructive monitoring of resistant and susceptible sweet potato varieties. This study provides a practical method for early disease classification of sweet potato scab, and future research could focus on real-time disease monitoring to enhance sweet potato crop management.

Background Sweetpotato ( Ipomoea batatas (L.) Lam.) is the seventh most important crop in the world and is mainly cultivated for its underground storage root (SR). The genetic studies of this species have been hindered by a lack of high-quality reference sequence due to its complex genome structure. Diploid Ipomoea trifida is the closest relative and putative progenitor of sweetpotato, which is considered a model species for sweetpotato, including genetic, cytological, and physiological analyses. Results Here, we generated the chromosome-scale genome sequence of SR-forming diploid I. trifida var. Y22 with high heterozygosity (2.20%). Although the chromosome-based synteny analysis revealed that the I. trifida shared conserved karyotype with Ipomoea nil after the separation, I. trifida had a much smaller genome than I. nil due to more efficient eliminations of LTR-retrotransposons and lack of species-specific amplification bursts of LTR-RTs. A comparison with four non-SR-forming species showed that the evolution of the beta-amylase gene family may be related to SR formation. We further investigated the relationship of the key gene BMY11 (with identity 47.12% to beta-amylase 1 ) with this important agronomic trait by both gene expression profiling and quantitative trait locus (QTL) mapping. And combining SR morphology and structure, gene expression profiling and qPCR results, we deduced that the products of the activity of BMY11 in splitting starch granules and be recycled to synthesize larger granules, contributing to starch accumulation and SR swelling. Moreover, we found the expression pattern of BMY11 , sporamin proteins and the key genes involved in carbohydrate metabolism and stele lignification were similar to that of sweetpotato during the SR development. Conclusions We constructed the high-quality genome reference of the highly heterozygous I. trifida through a combined approach and this genome enables a better resolution of the genomics feature and genome evolutions of this species. Sweetpotato SR development genes can be identified in I. trifida and these genes perform similar functions and patterns, showed that the diploid I. trifida var. Y22 with typical SR could be considered an ideal model for the studies of sweetpotato SR development.

The complete mitochondrial genome of Halticus minutus was sequenced and analyzed in this study. The mitochondrial genome is 15,403 bp in size and comprises 13 protein-coding genes, 22 tRNA genes, two rRNA genes, and one control region (D-loop). The nucleotide composition of the mitogenome is 41.81% A, 32.50% T, 10.43% G, and 15.26% C. Despite only a few references available on the complete mitochondrial genome of Miridae, phylogenetic analysis suggested that H. minutus is most closely related to Nesidiocoris tenuis.

The complete chloroplast genome of a novel chlorophyll-deficient mutant (clm) and its wild type (WT) in sweetpotato (Ipomoea batatas L.) was sequenced. The complete chloroplast genome of clm and WT was 161,393 bp and 161,429 bp in length, containing a large single copy (LSC) region of 87,561 bp and 87,597 bp, respectively, a small single copy (SSC) region with the same length of 30,890 bp and a pair of inverted repeat regions (IRs) with the same length of 12,052 bp. Both of them contained 132 genes including 87 protein-coding sequences, 37 tRNA, and eight rRNA. Comparing to the WT, four SNPs and three INDELs were detected and only one INDEL in the exon affecting the translation of rpoA gene. Phylogenetic analysis showed that clm and WT were closely related to Ipomoea tabascana. The complete chloroplast genome of clm and its WT will play a role in understanding the molecular mechanism of chlorophyll deficiency and developing molecular markers in sweetpotato.

Chilling stress can have severe impacts on the growth, development and productivity of maize worldwide. In the present study, cDNA amplified fragment length polymorphism (cDNA-AFLP) analysis was used to evaluate gene expression in maize during chilling treatments (6°C) over four time periods (0, 2, 6 and 12 h). A total of 441 transcript-derived fragments (TDFs) induced by low-temperature treatment were detected. Based on the sequence analysis, the 58 TDFs of known functions were involved in metabolism, photosynthesis, signal transduction and defence responses etc., suggesting that maize undergoes a complex adaptive process in response to low temperatures. Three full-length cDNA, encoding MAPKKK (mitogen-activated protein kinase kinase kinase), CLC-D (chloride channel D) and RLK (receptor-like protein kinases) homologues, were isolated from maize through in silico cloning and named as ZmMAPKKK, ZmCLC-D and ZmRLK, respectively. Finally, the expression patterns of the three genes showed a significant increase of differential expression after chilling stress as analysed by semi-quantitative RT-PCR and real-time qRT-PCR. This study provides important clues to understanding low-temperature regulation mechanisms in maize and the three candidate genes involved in chilling responses need further research to determine their usefulness in breeding new resistance cultivars.

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. Deep genome sequencing and comprehensive phenotyping of 294 hexaploid sweet potato accessions reveal the effect of allele dosage on phenotypic variation, offering valuable insights into the breeding history of sweet potato.