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Sugarcane smut, caused by the fungus Sporisorium scitamineum (Sydow), significantly affects sugarcane crops worldwide. Infected plants develop whip-like structures known as sori. Significant variations in these whip lengths are commonly observed, but the physiological and molecular differences causing these morphological differences remain poorly documented. To address this, we employed conventional microbe isolation, metagenomic, and metabolomic techniques to investigate smut-infected sugarcane stems and whips of varying lengths. Metagenomics analysis revealed a diverse fungal community in the sugarcane whips, with Sporisorium and Fusarium genera notably present (>1%) in long whips. Isolation techniques confirmed these findings. Ultra-performance liquid chromatography analysis (UHPLC-MS/MS) showed high levels of gibberellin hormones (GA3, GA1, GA4, GA8, and GA7) in long whips, with GA4 and GA7 found exclusively in long whips and stems. Among the prominent genera present within long whips, Fusarium was solely positively correlated with these gibberellin (GA) hormones, with the exception of GA8, which was positively correlated with Sporisorium. KEGG enrichment analysis linked these hormones to pathways like diterpenoid biosynthesis and plant hormone signal transduction. These findings suggest that Fusarium may influence GA production leading to whip elongation. Our study reveals fungal dynamics and gibberellin responses in sugarcane smut whips. Future research will explore the related molecular gibberellin synthesis mechanisms.

A homeobox transcription factor is a conserved transcription factor, ubiquitous in eukaryotes, that regulates the tissue formation of structure, cell differentiation, proliferation, and cancer. This study identified the homeobox transcription factor family and its distribution in Phoma sorghina var. saccharum at the whole genome level. It elucidated the gene structures and evolutionary characteristics of this family. Additionally, knockout experiments were carried out and the preliminary function of these transcription factors was studied. Through bioinformatics approaches, nine homeobox transcription factors (PsHOX1–PsHOX9) were identified in P. sorghina var. saccharum, and these contained HOX-conserved domains and helix–turn–helix secondary structures. Nine homeobox gene deletion mutants were obtained using the homologous recombinant gene knockout technique. Protoplast transformation was mediated by polyethylene glycol (PEG) and the transformants were identified using PCR. The knockouts of PsHOX1, PsHOX2, PsHOX3, PsHOX4, PsHOX6, PsHOX8, and PsHOX9 genes resulted in a smaller growth diameter in P. sorghina var. saccharum. In contrast, the knockouts of the PsHOX3, PsHOX6, and PsHOX9 genes inhibited the formation of conidia and led to a significant decrease in the pathogenicity. This study’s results will provide insights for understanding the growth and development of P. sorghina var. saccharum. The pathogenic mechanism of the affected sugarcane will provide an essential theoretical basis for preventing and controlling sugarcane twisted leaf disease.

Sugarcane is a globally significant crop for sugar and energy production, and developing high light-efficiency sugarcane varieties is crucial for enhancing yield and quality. However, limited research is available on the screening of sugarcane germplasm with high photosynthetic efficiency, especially with different leaf positions. The present study, conducted in Guangxi, China, aimed to analyze the photosynthetic characteristics of 258 sugarcane varieties at different leaf positions over three consecutive years in field experiments. The results showed significant differences in photosynthetic characteristics among genotypes, years, and leaf positions. Heritability estimates for various photosynthetic parameters ranged from 0.76 to 0.88. Principal component analysis revealed that the first three principal components accounted for over 99% of the cumulative variance. The first component represented photosynthetic efficiency and light utilization, the second focused on electron transfer and reaction center status, and the third was associated with chlorophyll content. Cluster and discriminant analysis classified sugarcane genotypes into three categories: high photosynthetic efficiency (HPE) with 86 genotypes, medium photosynthetic efficiency (MPE) with 60 genotypes, and low photosynthetic efficiency (LPE) with 112 genotypes. Multi-year trials confirmed that HPE sugarcane genotypes had higher single-stem weight and sucrose content. This study provides valuable insights into the photosynthetic physiological characteristics of different sugarcane varieties, which can contribute to further research regarding high yields and sugar breeding.

Nitrogen availability might play an essential role in plant diseases by enhancing fungal cell growth and influencing the expression of genes required for successful pathogenesis. Nitrogen availability could modulate secondary metabolic pathways as evidenced by the significant differential expression of several core genes involved in mycotoxin biosynthesis and genes encoding polyketide synthase/nonribosomal peptide synthetases, cytochrome P450 and carbohydrate-active enzymes in Fusarium sacchari, grown on different nitrogen sources. A combined analysis was carried out on the transcript and metabolite profiles of regulatory metabolic processes and the virulence of Fusarium sacchari grown on various nitrogen sources. The nitrogen regulation of the gibberellin gene cluster included the metabolic flux and multiple steps of gibberellin synthesis. UHPLC-MS/MS-based metabolome analysis revealed the coordination of these related transcripts and the accumulation of gibberellin metabolites. This integrated analysis allowed us to uncover additional information for a more comprehensive understanding of biological events relevant to fungal secondary metabolic regulation in response to nitrogen availability.

The commercial application of genetically modified plants has been seriously impeded by public concern surrounding the potential risks posed by such plants to the ecosystem and human health. Previously, we have developed a ‘pollen- and seed-specific Gene Deletor’ system that automatically excised all transgenes from the pollen and seeds of greenhouse-grown transgenic Nicotiana tabacum. In this study, we conducted seven field experiments over three consecutive years to evaluate the stability of transgene excision under field conditions. Our results showed that transgenes were stably excised from transgenic Nicotiana tabacum under field conditions with 100% efficiency. The stability of transgene excision was confirmed based on PCR, as well as the GUS staining patterns of various organs (roots, leaves, petiole, stem, flower, fruit, and seeds) from transgenic N. tabacum. In six transgenic lines (D4, D10, D31, D56, and D43), the transgenes were stably deleted in the T0 and T1 generations. Thus, the ‘Gene Deletor’ system is an efficient and reliable method to reduce pollen- and seed-mediated unintentional gene flow. This system might help to alleviate the food safety concerns associated with transgenic crops.

Sugarcane is a major crop for sugar production around the world. The complexity of the sugarcane genome creates challenges for the use of both conventional and molecular breeding methods to improve sugarcane at a genetic level. DNA sequencing is an important tool to assess how the genus Saccharum and the genera of the Saccharum complex are interrelated. Here, we identify the kinship of Nepal2013-6 (Saccharum spontaneum, x = 10) using a tetra-primer amplification refractory mutation system (ARMS) PCR. Based on rDNA-ITS sequence analysis, the accession Nepal2013-6 falls within a single cluster with S. spontaneum (Yunnan82-114 and SES208), which is consistent with the previous results. Moreover, fluorescence in situ hybridization (FISH) results indicate that the 5S rDNA spots are consistent with the chromosomal ploidy in the analytical Saccharum materials, whereas 35S rDNA has similar or fewer sites than the ploidy. Therefore, 5S rDNA FISH patterns would be more suitable than 35S rDNA for chromosomal ploidy analysis in S. spontaneum with varied basic chromosome number x = 8, 9, 10. Altogether, these results indicate that the rDNA sequences will be a useful marker for further rapidly identifying the relationship and ploidy of S. spontaneum in sugarcane breeding.

Sugarcane seedling emergence is important for sugar production. Manual counting is time-consuming and hardly practicable for large-scale field planting. Unmanned aerial vehicles (UAVs) with fast acquisition speed and wide coverage are becoming increasingly popular in precision agriculture. We provide a method based on improved Faster RCNN for automatically detecting and counting sugarcane seedlings using aerial photography. The Sugarcane-Detector (SGN-D) uses ResNet 50 for feature extraction to produce high-resolution feature expressions and provides an attention method (SN-block) to focus the network on learning seedling feature channels. FPN aggregates multi-level features to tackle multi-scale problems, while optimizing anchor boxes for sugarcane size and quantity. To evaluate the efficacy and viability of the proposed technology, 238 images of sugarcane seedlings were taken from the air with an unmanned aerial vehicle. Outcoming with an average accuracy of 93.67%, our proposed method outperforms other commonly used detection models, including the original Faster R-CNN, SSD, and YOLO. In order to eliminate the error caused by repeated counting, we further propose a seedlings de-duplication algorithm. The highest counting accuracy reached 96.83%, whilst the mean absolute error (MAE) reached 4.6 when intersection of union (IoU) was 0.15. In addition, a software system was developed for the automatic identification and counting of cane seedlings. This work can provide accurate seedling data, thus can support farmers making proper cultivation management decision.

Homeobox (HB) genes play important roles in plant growth and development processes, particularly in the formation of lateral organs. Thus, they could influence leaf morphogenesis and biomass formation in plants. However, little is known about HBs in sugarcane, a crucial sugar crop, due to its complex genetic background. Here, 302 allelic sequences for 104 HBs were identified and divided into 13 subfamilies in sugarcane Saccharum spontaneum. Comparative genomics revealed that whole-genome duplication (WGD)/segmental duplication significantly promoted the expansion of the HB family in S. spontaneum, with SsHB26, SsHB63, SsHB64, SsHB65, SsHB67, SsHB95, and SsHB96 being retained from the evolutionary event before the divergence of dicots and monocots. Based on the analysis of transcriptome and degradome data, we speculated that SsHB15 and SsHB97 might play important roles in regulating sugarcane leaf morphogenesis, with miR166 and SsAGO10 being involved in the regulation of SsHB15 expression. Moreover, subcellular localization and transcriptional activity detection assays demonstrated that these two genes, SsHB15 and SsHB97, were functional transcription factors. This study demonstrated the evolutionary relationship and potential functions of SsHB genes and will enable the further investigation of the functional characterization and the regulatory mechanisms of SsHBs.

A genetic diversity analysis and identification of plant germplasms and varieties are important and necessary for plant breeding. Deoxyribonucleotide (DNA) fingerprints based on genomic molecular markers play an important role in accurate germplasm identification. In this study, Specific-Locus Amplified Fragment Sequencing (SLAF-seq) was conducted for a sugarcane population with 103 cultivated and wild accessions. In total, 105,325 genomic single nucleotide polymorphisms (SNPs) were called successfully to analyze population components and genetic diversity. The genetic diversity of the population was complex and clustered into two major subpopulations. A principal component analysis (PCA) showed that these accessions could not be completely classified based on geographical origin. After filtration, screening, and comparison, 192 uniformly-distributed SNP loci were selected for the 32 chromosomes of sugarcane. An SNP complex genotyping detection system was established using the SNaPshot typing method and used for the precise genotyping and identification of 180 sugarcane germplasm samples. According to the stability and polymorphism of the SNPs, 32 high-quality SNP markers were obtained and successfully used to construct the first SNP fingerprinting and quick response codes (QR codes) for sugarcane. The results provide new insights for genotyping, classifying, and identifying germplasm and resources for sugarcane breeding

Modern sugarcane cultivars were generated through interspecific crossing of the stress resistance Saccharum spontaneum and the high sugar content Saccharum officinarum which was domesticated from Saccharum robustum. Magnesium deficiency (MGD) is particularly prominent in tropical and subtropical regions where sugarcane is grown, but the response mechanism to MGD in sugarcane remains unknown. Physiological and transcriptomic analysis of the three founding Saccharum species under different magnesium (Mg) levels was performed. Our result showed that MGD decreased chlorophyll content and photosynthetic efficiency of three Saccharum species but led to increased starch in leaves and lignin content in roots of Saccharum robustum and Saccharum spontaneum. We identified 12,129, 11,306 and 12,178 differentially expressed genes (DEGs) of Saccharum officinarum, Saccharum robustum and Saccharum spontaneum, respectively. In Saccharum officinarum, MGD affected signal transduction by up-regulating the expression of xylan biosynthesis process-related genes. Saccharum robustum, responded to the MGD by regulating the expression of transcription and detoxification process-related genes. Saccharum spontaneum, avoids damage from MGD by regulating the expression of the signing transduction process and the transformation from growth and development to reproductive development. This novel repertoire of candidate genes related to MGD response in sugarcane will be helpful for engineering MGD tolerant varieties.

Citrus Huanglongbing (HLB) is a serious disease for the citrus industry. Earlier studies showed that ampicillin (Amp) can reduce titers of the pathogen which causes HLB and the bacteria Candidatus Liberibacter asiaticus (CLas) in HLB-affected citrus. CLas has not yet been cultured, so the mechanisms of Amp against CLas are unclear. Some chemicals were demonstrated to trigger citrus defense systems against CLas. Therefore, we hypothesize that Amp may induce citrus defenses against CLas. Here we applied three nano-formulations of varying droplet sizes to HLB-affected citrus to achieve different accumulated concentrations of Amp (high, medium, low) in the plants. We then used RNA-seq to analyze induction of gene expression of citrus defense systems against CLas in response to different concentrations of Amp. The results indicated that at all accumulated concentrations of Amp can significantly suppress CLas titer and mitigate HLB symptoms. Transcriptomic analyses showed that Amp treatment induced expression of heat shock proteins (Hsps) in HLB-affected citrus, and these Hsps were significantly related to several defense genes encoding R proteins, transcription factors, splicing factors, RNA-binding proteins, RNA-dependent RNA polymerase, Gibberellic acid methyltransferase 2, L-ascorbate peroxidase 2, and ferruginol synthase that confer tolerance to CLas in citrus plants. Taken together, these results suggest that Amp treatment of citrus plants can trigger expression of Hsps and related defense genes to respond to CLas infection. These findings are valuable for developing novel strategies to combat citrus HLB.

The barcode probe is a convenient and efficient tool for molecular cytogenetics. Tripidium arundinaceum, as a polyploid wild allied genus of Saccharum, is a useful genetic resource that confers biotic and abiotic stress resistance for sugarcane breeding. Unfortunately, the basic cytogenetic information is still unclear due to the complex genome. We constructed the Cot-20 library for screening moderately and highly repetitive sequences from T. arundinaceum, and the chromosomal distribution of these repetitive sequences was explored. We used the barcode of repetitive sequence probes to distinguish the ten chromosome types of T. arundinaceum by fluorescence in situ hybridization (FISH) with Ea-0907, Ea-0098, and 45S rDNA. Furthermore, the distinction among homology chromosomes based on repetitive sequences was constructed in T. arundinaceum by the repeated FISH using the barcode probes including Ea-0663, Ea-0267, EaCent, 5S rDNA, Ea-0265, Ea-0070, and 45S rDNA. We combined these probes to distinguish 37 different chromosome types, suggesting that the repetitive sequences may have different distributions on homologous chromosomes of T. arundinaceum. In summary, this method provide a basis for the development of similar applications for cytogenetic analysis in other species.

Pennisetum purpureum is a potential species for biofuel production. Characterization and chromosomal distribution of retrotransposons could enhance the comprehension of the role and dynamics of the repetitive elements in plants. In this study, a phylogenetic tree was constructed according to the conserved reverse transcriptase sequences and revealed that these Ty1-copia retrotransposons had a typical structure. Analysis showed that the total Ty1-copia retrotransposons had a significant component, as high as 5.12 × 103 copy numbers in P. purpureum. Then, the chromosomal pattern of four known lineages were also analyzed with the Pennisetum glaucum genome, which suggested that the Sire/Maximus lineage had the highest copy number and followed by Tork/Angela, Tork/TAR, Retrofit/Ale. Additionally, the chromosomal distribution of total Ty1-copia retrotransposons was detected by fluorescence in situ hybridization (FISH) to be a dispersed pattern with weak clustering, mostly near the centromeric regions of P. purpureum chromosomes; interestingly, there were four obvious signals in the subterminal chromosomes. These results suggested that there occurred differential dynamic evolution directions of Ty1-copia retrotransposons within P. purpureum. Furthermore, co-localization of Ty1-copia, 5S rDNA, and 35S rDNA indicated that two chromosome 2 and four chromosome 4 were identified. Concurrently, subterminal signals of Ty1-copia-type retrotransposons were located on four other homologous chromosomes. Altogether, these results shed light on the diversification of Ty1-copia retrotransposons and have the significance for generation of valid chromosomal markers in retrotransposon families.

Sugarcane is the main industrial crop for sugar production, and its growth status is closely related to fertilizer, water, and light input. Unmanned aerial vehicle (UAV)-based multispectral imagery is widely used for high-throughput phenotyping, since it can rapidly predict crop vigor at field scale. This study focused on the potential of drone multispectral images in predicting canopy nitrogen concentration (CNC) and irrigation levels for sugarcane. An experiment was carried out in a sugarcane field with three irrigation levels and five fertilizer levels. Multispectral images at an altitude of 40 m were acquired during the elongating stage. Partial least square (PLS), backpropagation neural network (BPNN), and extreme learning machine (ELM) were adopted to establish CNC prediction models based on various combinations of band reflectance and vegetation indices. The simple ratio pigment index (SRPI), normalized pigment chlorophyll index (NPCI), and normalized green-blue difference index (NGBDI) were selected as model inputs due to their higher grey relational degree with the CNC and lower correlation between one another. The PLS model based on the five-band reflectance and the three vegetation indices achieved the best accuracy (Rv = 0.79, RMSEv = 0.11). Support vector machine (SVM) and BPNN were then used to classify the irrigation levels based on five spectral features which had high correlations with irrigation levels. SVM reached a higher accuracy of 80.6%. The results of this study demonstrated that high resolution multispectral images could provide effective information for CNC prediction and water irrigation level recognition for sugarcane crop.

Sugarcane is an important sugar and energy crop in the world. Germplasm innovation is a significant way to breed breakthrough sugarcane varieties. Modern sugarcane varieties all contain the blood relationship of Saccharum officinarum and Saccharum spontaneum. High sugar results from S. officinarum and the resistance genes from S. spontaneum. In order to improve the sugarcane quality, breeders use S. officinarum and S. spontaneum to cross and obtain hybrid offspring with high sugar and high resistance. Therefore, the authenticity of S. officinarum and S. spontaneum progeny materials directly affects the efficiency of sugarcane breeding. In this study, the tetra-primer amplification hindered mutation system (ARMS PCR) was used to identify ten suspected S. officinarum and eleven suspected S. spontaneum germplasm materials, then further validated by chromosome counting and genome in situ hybridization (GISH). Among the ten suspected S. officinarum materials to be identified, three were real S. officinarum materials, they were 14NG124, 51NG103, and Guan A. Nine of the eleven suspected S. spontaneum to be identified were fake S. spontaneum materials, these were Yunge 2007-12-165, Guangxi 87-20, Yunnan 82-16, Yunge 2007-11, YNLC 16, Laos No. 2, Yunnan 82-29, 2015-83, and 2013-20. The ARMS PCR results were the same as the GISH results. The three real S. officinarum materials had 80 chromosomes. Using ARMS PCR and GISH, three S. officinarum and nine S. spontaneum materials were proven to be authentic. Through chromosome number statistics, it was found that the three real S. officinarum had 80 chromosomes. Authentic materials were identified and selected to enrich the genetic background of sugarcane through hybridization and reduce the influence on the breeding process of the misuse of fake S. officinarum and S. spontaneum.

Banana Fusarium wilt (BFW) is a devastating disease with no effective cure methods. Timely and effective detection of the disease and evaluation of its spreading trend will help farmers in making right decisions on plantation management. The main purpose of this study was to find the spectral features of the BFW-infected canopy and build the optimal BFW classification models for different stages of infection. A RedEdge-MX camera mounted on an unmanned aerial vehicle (UAV) was used to collect multispectral images of a banana plantation infected with BFW in July and August 2020. Three types of spectral features were used as the inputs of classification models, including three-visible-band images, five-multispectral-band images, and vegetation indices (VIs). Four supervised methods including Support Vector Machine (SVM), Random Forest (RF), Back Propagation Neural Networks (BPNN) and Logistic Regression (LR), and two unsupervised methods including Hotspot Analysis (HA) and Iterative Self-Organizing Data Analysis Technique Algorithm (ISODATA) were adopted to detect the BFW-infected canopies. Comparing to the healthy canopies, the BFW-infected canopies had higher reflectance in the visible region, but lower reflectance in the NIR region. The classification results showed that most of the supervised and unsupervised methods reached excellent accuracies. Among all the supervised methods, RF based on the five-multispectral-band was considered as the optimal model, with higher overall accuracy (OA) of 97.28% and faster running time of 22 min. For the unsupervised methods, HA reached high and balanced OAs of more than 95% based on the selected VIs derived from the red and NIR band, especially for WDRVI, NDVI, and TDVI. By comprehensively evaluating the classification results of different metrics, the unsupervised method HA was recommended for BFW recognition, especially in the late stage of infection; the supervised method RF was recommended in the early stage of infection to reach a slightly higher accuracy. The results found in this study could give advice for banana plantation management and provide approaches for plant disease detection.

One of the causative agents of pokkah boeng disease (PBD), which affects sugarcane crops globally, is the fungus Fusarium sacchari. These fungal infections reduce sugar quality and yield, resulting in severe economic losses. Effector proteins play important roles in the interactions between pathogenic fungi and plants. Here, we used bioinformatic prediction approaches to identify 316 candidate secreted effector proteins (CSEPs) in the complete genome of F. sacchari. In total, 95 CSEPs contained known conserved structures, representing 40 superfamilies and 18 domains, while an additional 91 CSEPs contained seven known motifs. Of the 130 CSEPs containing no known domains or motifs, 14 contained one of four novel motifs. A heterogeneous expression system in Nicotiana benthamiana was used to investigate the functions of 163 CSEPs. Seven CSEPs suppressed BAX-triggered programmed cell death in N. benthamiana, while four caused cell death in N. benthamiana. The expression profiles of these eleven CSEPs during F. sacchari infection suggested that they may be involved in sugarcane-F. sacchari interaction. Our results establish a basis for further studies of the role of effector molecules in pathogen–sugarcane interactions, and provide a framework for future predictions of pathogen effector molecules.

Sugarcane mosaic virus (SCMV) is one of the major pathogens of sugarcane. SCMV infection causes dynamic changes in plant cells, including decreased photosynthetic rate, respiration, and sugar metabolism. To understand the basics of pathogenicity mechanism, we performed transcriptome and proteomics analysis in two sugarcane genotypes (Badila: susceptible to SCMV and B-48: SCMV resistant). Using Saccharum spontaneum L. genome as a reference, we identified the differentially expressed genes (DEGs) and differentially expressed proteins (DEPs) that participate in sugar metabolism, transport of their metabolites, and Carbohydrate Activating enZYmes (CAZymes). Sequencing data revealed 287 DEGs directly or indirectly involved in sugar metabolism, transport, and storage, while 323 DEGs are associated with CAZymes. Significant upregulation of glucose, sucrose, fructose, starch, and SWEET-related transcripts was observed in the Badila after infection of SCMV. B-48 showed resistance against SCMV with a limited number of sugar transcripts up-regulation at the post-infection stage. For CAZymes, only glycosyltransferase (GT)1 and glycosyl hydrolase (GH)17 were upregulated in B-48. Regulation of DEGs was analyzed at the proteomics level as well. Starch, fructose, glucose, GT1, and GH17 transcripts were expressed at the post-translational level. We verified our transcriptomic results with proteomics and qPCR data. Comprehensively, this study proved that Badila upregulated sugar metabolizing and transporting transcripts and proteins, which enhance virus multiplication and infectionl.

The survival and prognosis of hepatocellular carcinoma (HCC) are poor, mainly due to metastasis. Therefore, insights into the molecular mechanisms underlying HCC invasion and metastasis are urgently needed to develop a more effective antimetastatic therapy. Here, we report that KIAA1217, a functionally unknown macromolecular protein, plays a crucial role in HCC metastasis. KIAA1217 expression was frequently upregulated in HCC cell lines and tissues, and high KIAA1217 expression was closely associated with shorter survival of patients with HCC. Overexpression and knockdown experiments revealed that KIAA1217 significantly promoted cell migration and invasion by inducing epithelial-mesenchymal transition (EMT) in vitro. Consistently, HCC cells overexpressing KIAA1217 exhibited markedly enhanced lung metastasis in vivo. Mechanistically, KIAA1217 enhanced EMT and accordingly promoted HCC metastasis by interacting with and activating JAK1/2 and STAT3. Interestingly, KIAA1217-activated p-STAT3 was retained in the cytoplasm instead of translocating into the nucleus, where p-STAT3 subsequently activated the Notch and Wnt/β-catenin pathways to facilitate EMT induction and HCC metastasis. Collectively, KIAA1217 may function as an adaptor protein or scaffold protein in the cytoplasm and coordinate multiple pathways to promote EMT-induced HCC metastasis, indicating its potential as a therapeutic target for curbing HCC metastasis.

Eukaryotic translation initiation factor 4E (eIF4E) plays a key role in the infection of potyviruses in susceptible plants by interacting with viral genome-linked protein (VPg). Sugarcane (Saccharum spp.) production is threatened by mosaic disease caused by Sugarcane mosaic virus (SCMV), Sorghum mosaic virus (SrMV), and Sugarcane streak mosaic virus (SCSMV). In this study, two eIF4Es and their isoform eIF(iso)4E and 4E-binding protein coding genes were cloned from sugarcane cultivar ROC22 and designated SceIF4Ea, SceIF4Eb, SceIF(iso)4E, and ScnCBP, respectively. Real-time quantitative PCR analysis showed different expression profiles of these four genes upon SCMV challenge. A subcellular localization assay showed that SceIF4Ea, SceIF4Eb, SceIF(iso)4E, and ScnCBP were distributed in the nucleus and cytoplasm. Yeast two-hybrid (Y2H) and bimolecular fluorescence complementation (BiFC) assays showed that SceIF4Ea/b and SceIF(iso)4E were selectively employed by different sugarcane mosaic pathogens, i.e., SCMV-VPg interacted with SceIF4Ea/b and SceIF(iso)4E, SrMV-VPg interacted with both SceIF4Eb and SceIF(iso)4E, and SCSMV-VPg interacted only with SceIF(iso)4E. Intriguingly, the BiFC assays, but not the Y2H assays, showed that ScnCBP interacted with the VPgs of SCMV, SrMV, and SCSMV. Competitive interaction assays showed that SCMV-VPg, SrMV-VPg, and SCMV-VPg did not compete with each other to interact with SceIF(iso)4E, and SceIF(iso)4E competed with SceIF4Eb to interact with SrMV-VPg but not SCMV-VPg. This study sheds light on the molecular mechanism of sugarcane mosaic pathogen infection of sugarcane plants and benefits sugarcane breeding against the sugarcane mosaic disease.

Citrus huanglongbing (HLB) is a devastating disease for the citrus industry. The previous studies demonstrated that oxytetracycline and penicillin are effective antibiotics against Candidatus Liberibacter asiaticus (CLas). However, since CLas is uncultured, the mechanisms of action of antibiotics against CLas are still unclear. It was recently reported that the endophytic microbial communities are associated with the progression of citrus HLB after oxytetracycline and penicillin treatment. Therefore, we hypothesize that penicillin has greater antibacterial activity against CLas than oxytetracycline, which may be associated with the alteration of the structure and function of endophytic microbial communities in HLB-affected citrus in response to these antibiotics. To test this hypothesis, the microbiome of HLB-affected citrus leaves treated with these two antibiotics was analyzed using a metagenomic method. Our results indicate that the microbial structure and function in HLB-affected citrus were altered by these two antibiotics. The relative abundance of beneficial bacterial species, including Streptomyces avermitilis and Bradyrhizobium, was higher in penicillin-treated plants compared to those treated with oxytetracycline, and the relative abundance of the bacterial species (such as Propionibacterium acnes and Synechocystis sp PCC 6803) associated with CLas survival was lower for penicillin-treated plants compared to oxytetracycline-treated plants. These results indicate that penicillin has greater antibacterial activity against CLas. Based on the metagenomic analysis, this study elucidated the mechanism for the observed increase in antibacterial activity of penicillin against CLas. The data presented here are not only invaluable for developing eco-friendly and effective biocontrol strategies to combat citrus HLB, but also provide a method for revealing mechanism of antimicrobial against uncultured bacteria in host.