Rice Chromosome Research Articles

Comparative Metabolome and Transcriptome Analysis Reveals the Possible Roles of Rice Phospholipase A Genes in the Accumulation of Oil in Grains.

The phospholipase A (PLA) gene family plays a crucial role in the regulation of plant growth, development and stress response. Although PLA genes have been identified in various plant species, their specific functions and characteristics in oil quality formation of rice grains (Oryza sativa L.) have not been studied yet. Here, we identified and characterized 35 rice PLA genes, which were divided into three subgroups based on gene structures and phylogenetic relationships. These genes are distributed unevenly across 11 rice chromosomes. The promoter sequence of rice PLAs contain multiple plant hormones and stress-related elements. Gene expression analyses in various tissues and under stress conditions indicated that PLAs may be involved in rice growth, development and stress response. In addition, metabolomics, transcriptomics and qRT-PCR analyses between two rice varieties Guang8B (G8B, high oil content) and YueFengB (YFB, low oil content) revealed that the different expressional levels of rice PLA genes were closely related to the differences in the oil content between 'G8B' and 'YFB' grains. The findings of this study provide potential novel insights into the molecular information of the phospholipase A gene family in rice, and underscore the potential functions of PLA genes in rice oil content accumulation, providing valuable resources for future genetic improvement and breeding strategies.

Genome-wide association study and genotypic variation for the major tocopherol content in rice grain.

Rice tocopherols, vitamin E compounds with antioxidant activity, play essential roles in human health. Even though the key genes involved in vitamin E biosynthetic pathways have been identified in plants, the genetic architecture of vitamin E content in rice grain remains unclear. A genome-wide association study (GWAS) on 179 genotypically diverse rice accessions with 34,323 SNP markers was conducted to detect QTLs that define total and α- tocopherol contents in rice grains. Total and α-tocopherol contents had a strong positive correlation and varied greatly across the accessions, ranging from 0.230-31.76 and 0.011-30.83 (μg/g), respectively. A total of 13 QTLs were identified, which were spread across five of the rice chromosomes. Among the 13 QTLs, 11 were considered major with phenotypic variation explained (PVE) greater than 10%. Twelve transcription factor (TF) genes, one microprotein (miP), and a transposon were found to be associated with the QTLs with putative roles in controlling tocopherol contents. Moreover, intracellular transport proteins, ABC transporters, nonaspanins, and SNARE, were identified as associated genes on chromosomes 1 and 8. In the vicinity of seven QTLs, protein kinases were identified as key signaling factors. Haplotype analysis revealed the QTLs qAlph1.1, qTot1.1, qAlph2.1, qAlph6.1, qTot6.1, and qTot8.3 to have significant haplogroups. Quantitative RT-PCR validated the expression direction and magnitude of WRKY39 (Os02g0265200), PIP5Ks (Os08g0450800), and MADS59 (Os06g0347700) in defining the major tocopherol contents. This study provides insights for ongoing biofortification efforts to breed and/or engineer vitamin E and antioxidant levels in rice and other cereals.

CRISPR/Cas9 effectively generate chromosome structural variations in rice protoplasts

AbstractChromosome structural variations (SVs), such as deletion, duplication, inversion, and translocation, are important contributors to genetic diversification and crop improvement. Using genome editing tools such as clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR‐associated nuclease (Cas9), desired SVs involving large DNA fragments have been created in rice (Oryza sativa L.), maize (Zea mays L.), and Arabidopsis (Arabidopsis thaliana L.). However, it is still uncertain whether the size of DNA fragment involved could be a prohibiting factor to generate Cas9‐mediated SVs. In this study, we constructed five CRISPR/Cas9 vectors, each expressing two single‐guide RNAs (sgRNAs), to cut two sites spacing at 0.5, 5, 10, 20, and 30 Mb on rice chromosome 4 (Chr4), respectively. Meanwhile, another CRISPR/Cas9 vector cutting two sites, one on Chr4 and the other on Chr1, was also constructed for creation of chromosomal translocation between Chr1 and Chr4. These vectors were transfected into rice protoplasts by polyethylene glycol–mediated transformation. Specific primers were designed to detect desired SV events. The results showed that all designed SVs could be effectively generated by CRISPR/Cas9 in rice protoplasts. This study suggested that the size of DNA fragment involved is unlikely a prohibiting factor for creation of desired SV events.

Allelic variation in rice blast resistance: a pathway to sustainable disease management.

Rice blast is a major problem in agriculture, affecting rice production and threatening food security worldwide. This disease, caused by the fungus Magnaporthe oryzae, has led to a lot of research since the discovery of the first resistance gene, pib, in 1999. Researchers have now identified more than 50 resistance genes on eight of the twelve chromosomes in rice, each targeting different strains of the pathogen.These genes are spread out across seventeen different loci. These genes, which primarily code for nucleotide-binding and leucine-rich repeat proteins, play an important part in the defense of rice against the pathogen, either alone or in combination with other genes. An important characteristic of these genes is the allelic or paralogous interactions that exist within these loci. These relationships contribute to the gene's increased capacity for evolutionary adaptation. The ability of resistance proteins to recognize and react to novel effectors is improved by the frequent occurrence of variations within the domains that are responsible for recognizing pathogen effectors. The purpose of this review is to summarize the progress that has been made in identifying these essential genes and to investigate the possibility of utilizing the allelic variants obtained from these genes in future rice breeding efforts to increase resistance to rice blast.

Profiling and Improvement of Grain Quality Traits for Consumer Preferable Basmati Rice in the United States.

Basmati rice is a premium aromatic rice that consumers choose primarily because of its distinct aroma and excellent grain quality. The grain quality of Basmati rice (GQBR) reflects the perspectives of producers, processors, sellers, and consumers related to the production, processing, marketing, and consumption of Basmati rice. Consumers, an invaluable part of the production demand and value chain of the Basmati rice industry, have the freedom to choose from different types of aromatic rice. Consumers expect their preferred Basmati rice to possess all superior rice grain qualities, including the physical, biochemical, and physiological properties. Gene functional analysis explained that a 10-base pair deletion in the promoter region of the OsSPL16 gene causes the slender grains in Basmati rice, whereas an 8-base-pair deletion in exon 7 of the OsBadh2 gene (located in the fgr region on rice chromosome 8) results in the distinct aroma. Furthermore, a combination of the genetic characteristics of the gw8 and gs3 genes has led to the creation of a long-grain Basmati-type rice cultivar. It has also been demonstrated that agricultural, genetic, and environmental conditions significantly influence GQBR. Hence, research on improving GQBR requires a multidimensional approach and sophisticated elements due to the complexity of its nature and preference diversity. This review covers the basic definitions of grain quality traits, consumer preference criteria, influencing factors, and strategies for producing superior-quality Basmati rice in the United States. This knowledge will be useful in improving the grain quality of Basmati and Basmati-type rice, as well as developing appropriate breeding programs that will meet the preferences of different countries and cultures.

Wheat Cybrid Plants, OryzaWheat, Regenerated from Wheat-Rice Hybrid Zygotes via in Vitro Fertilization System Possess Wheat-Rice Hybrid Mitochondria.

Hybridization generates biodiversity, and wide hybridization plays a pivotal role in enhancing and broadening the useful attributes of crops. The hybridization barrier between wheat and rice, the two most important cereals, was recently overcome by in vitro production of allopolyploid wheat-rice hybrid zygotes, which can develop and grow into mature plants. In the study, genomic sequences and compositions of the possible hybrid plants were investigated through short- and long-read sequencing analyses and fluorescence in situ hybridization (FISH)-based visualization. The possible hybrid possessed whole wheat nuclear and cytoplasmic DNAs and rice mitochondrial (mt) DNA, along with variable retention rates of rice mtDNA ranging from 11% to 47%. The rice mtDNA retained in the wheat cybrid, termed Oryzawheat, can be transmitted across generations. In addition to mitochondrial hybridization, translocation of rice chromosome 1 into wheat chromosome 6A was detected in a F1 hybrid individual. OryzaWheat can provide a new horizon for utilizing inter-subfamily genetic resources among wheat and rice belonging to different subfamilies, Pooideae and Ehrhartoideae, respectively.

Genome-Wide Association Analysis Identifies Candidate Loci for Callus Induction in Rice (Oryza sativa L.).

Callus induction (CI) is a critical trait for transforming desirable genes in plants. A genome-wide association study (GWAS) analysis was conducted on the rice germplasms of 110 Indica rice accessions, in which three tissue culture media, B5, MS, and N6, were used for the CI of those rice panels' mature seeds. Seven quantitative trait loci (QTLs) on rice chromosomes 2, 6, 7, and 11 affected the CI percentage in the three media. For the B5 medium, one QTL (qCI-B5-Chr6) was identified on rice chromosome 6; for the MS medium, two QTLs were identified on rice chromosomes 2 and 6 (qCI-MS-Chr2 and qCI-MS-Chr6, respectively); for the N6 medium, four QTLs were identified on rice chromosomes 6, 7, and 11 (qCI-N6-Chr6.1 and qCI-N6-Chr6.2, qCI-N6-Chr7, and qCI-N6-Chr11, respectively). Fifty-five genes were identified within the haplotype blocks corresponding to these QTLs, thirty-one of which showed haplotypes associated with different CI percentages in those media. qCI-B5-Chr6 was located in the same region as qCI-N6-Chr6.2, and the Caleosin-related family protein was also identified in this region. Analysis of the gene-based haplotype revealed the association of this gene with different CI percentages in both B5 and N6 media, suggesting that the gene may play a critical role in the CI mechanism. Moreover, several genes, including those that encode the beta-tubulin protein, zinc finger protein, RNP-1 domain-containing protein, and lysophosphatidic acid acyltransferase, were associated with different CI percentages in the N6 medium. The results of this study provide insights into the potential QTLs and candidate genes for callus induction in rice that contribute to our understanding of the physiological and biochemical processes involved in callus formation, which is an essential tool in the molecular breeding of rice.

Refinement of rice blast disease resistance QTLs and gene networks through meta-QTL analysis

Rice blast disease is the most devastating disease constraining crop productivity. Vertical resistance to blast disease is widely studied despite its instability. Clusters of genes or QTLs conferring blast resistance that offer durable horizontal resistance are important in resistance breeding. In this study, we aimed to refine the reported QTLs and identify stable meta-QTLs (MQTLs) associated with rice blast resistance. A total of 435 QTLs were used to project 71 MQTLs across all the rice chromosomes. As many as 199 putative rice blast resistance genes were identified within 53 MQTL regions. The genes included 48 characterized resistance gene analogs and related proteins, such as NBS–LRR type, LRR receptor-like kinase, NB-ARC domain, pathogenesis-related TF/ERF domain, elicitor-induced defense and proteins involved in defense signaling. MQTL regions with clusters of RGA were also identified. Fifteen highly significant MQTLs included 29 candidate genes and genes characterized for blast resistance, such as Piz, Nbs-Pi9, pi55-1, pi55-2, Pi3/Pi5-1, Pi3/Pi5-2, Pikh, Pi54, Pik/Pikm/Pikp, Pb1 and Pb2. Furthermore, the candidate genes (42) were associated with differential expression (in silico) in compatible and incompatible reactions upon disease infection. Moreover, nearly half of the genes within the MQTL regions were orthologous to those in O. sativa indica, Z. mays and A. thaliana, which confirmed their significance. The peak markers within three significant MQTLs differentiated blast-resistant and susceptible lines and serve as potential surrogates for the selection of blast-resistant lines. These MQTLs are potential candidates for durable and broad-spectrum rice blast resistance and could be utilized in blast resistance breeding.

Mapping and Candidate Gene Analysis of the Low-Temperature-Sensitive Albino Gene OsLTSA8 in Rice Seedlings.

Chloroplasts are organelles responsible for photosynthesis in plants, providing energy for growth and development. However, the genetic regulatory mechanisms underlying early chloroplast development in rice remain incompletely understood. In this study, we identified a rice seedling thermosensitive chlorophyll-deficient mutant, osltsa8, and the genetic analysis of two F2 populations suggested that this trait may be controlled by more than one pair of alleles. Through reciprocal F2 populations and QTL-seq technology, OsLTSA8 was mapped to the interval of 24,280,402-25,920,942 bp on rice chromosome 8, representing a novel albino gene in rice. Within the candidate gene region of OsLTSA8, there were 258 predicted genes, among which LOC_Os08g39050, LOC_Os08g39130, and LOC_Os08g40870 encode pentatricopeptide repeat (PPR) proteins. RNA-seq identified 18 DEGs (differentially expressed genes) within the candidate interval, with LOC_Os08g39420 showing homology to the pigment biosynthesis-related genes Zm00001d017656 and Sb01g000470; LOC_Os08g39430 and LOC_Os08g39850 were implicated in chlorophyll precursor synthesis. RT-qPCR was employed to assess the expression levels of LOC_Os08g39050, LOC_Os08g39130, LOC_Os08g40870, LOC_Os08g39420, LOC_Os08g39430, and LOC_Os08g39850 in the wild-type and mutant plants. Among them, the differences in the expression levels of LOC_Os08g39050 and LOC_Os08g39430 were the most significant. This study will contribute to further elucidating the molecular mechanisms of rice chloroplast development.

Functional genomic regions associated with blast disease resistance in rice predicted syntenic orthologs and potential resistance gene candidates from diverse cereal genomes

Blast disease is a major production constraint in cereal crops worldwide. Genome regions associated with blast resistance in rice were used in homology-based prediction of resistance gene orthologs across cereals. Seventy-four Resistance Gene Analogs (RGAs) that were collocated with rice QTLs (Quantitative Trait Loci) associated with blast resistance, predicted 89 orthologs from cereals,including 61 from finger millet. The RGA orthologs found hits in cereal transcriptomes derived from blast-infected tissues. Over 92% of the putative RGAs encoded NBS-LRR (Nucleotide Binding Site -Leucine Rich Repeat) proteins. Despite conserved primary protein structures, NBS-LRRs were variable in the encoding genes. Primers designed on conserved NBS-LRRs motifs amplified multiple fragments in PCR indicating the presence of highly similar paralogs in genomes. Rice chromosomes 1, 2, 4, 6, and 11 dock clusters of RGAs and syntenic clusters of orthologous RGAs were predicted from other cereal genomes identifying genome hotspots for resistance gene cassettes. RGAs in such cassettes were tightly linked with 50 %–90 % within-cluster similarity. Local finger millet germplasm identified multi-modes of resistance, and lack of correlation between the resistance traits points to independent expression of resistance mechanisms and associated genes in different tissues and development stages. The significant diversity, genomic abundance, and potential functional redundancy complicate use of RGAs for resistance breeding in given host genetic backgrounds, pathogen pools and agro-climates; therefore, robust technology pipelines that enable system-level analysis of expression and effectiveness can increase the practical use of RGAs.

Autotetraploidy of rice does not potentiate the tolerance to drought stress in the seedling stage

Polyploid is considered an advantage that has evolved to be more environmentally adaptable than its diploid. To understand if doubled chromosome of diploid rice can improve drought tolerance, we evaluated the diploid (2X) and autotetraploid (4X) plants of three indica and three japonica varieties. Drought stress in the plastic bucket of four-leaf stage revealed that the drought tolerance of 4X plants was lower than that of its diploid donor plants. The assay of photosynthetic rate of all varieties showed that all 4X varieties had lower rates than their diploid donors. The capacity for reactive oxygen species production and scavenging varied among different 2X and 4X varieties. Further, transcriptomic analysis of 2X and 4X plants of four varieties under normal and drought condition showed that the wide variation of gene expression was caused by difference of varieties, not by chromosome ploidy. However, weighted gene co-expression network analysis (WGCNA) revealed that the severe interference of photosynthesis-related genes in tetraploid plants under drought stress is the primary reason for the decrease of drought tolerance in autotetraploid lines. Consistently, new transcripts analysis in autotetraploid revealed that the gene transcription related with mitochondrion and plastid of cell component was influenced most significantly. The results indicated that chromosome doubling of diploid rice weakened their drought tolerance, primarily due to disorder of photosynthesis-related genes in tetraploid plants under drought stress. Maintain tetraploid drought tolerance through chromosome doubling breeding in rice needs to start with the selection of parental varieties and more efforts.

The dynamics of N6-methyladenine RNA modification in resistant and susceptible rice varieties responding to rice stem borer damage.

N6-methyladenosine (m6A) is the most prevalent modification in cellular RNA which orchestrates diverse physiological and pathological processes during stress response. However, the differential m6A modifications that cope with herbivore stress in resistant and susceptible crop varieties remain unclear. Here, we found that rice stem borer (RSB) larvae grew better on indica rice (e.g., MH63, IR64, Nanjing 11) than on japonica rice varieties (e.g., Nipponbare, Zhonghua 11, Xiushui 11). Then, transcriptome-wide m6A profiling of representative resistant (Nipponbare) and susceptible (MH63) rice varieties were performed using a nanopore direct RNA sequencing approach, to reveal variety-specific m6A modifications against RSB. Upon RSB infestation, m6A methylation occurred in actively expressed genes in Nipponbare and MH63, but the number of methylation sites decreased across rice chromosomes. Integrative analysis showed that m6A methylation levels were closely associated with transcriptional regulation. Genes involved in herbivorous resistance related to mitogen-activated protein kinase, jasmonic acid (JA), and terpenoid biosynthesis pathways, as well as JA-mediated trypsin protease inhibitors, were heavily methylated by m6A, and their expression was more pronounced in RSB-infested Nipponbare than in RSB-infested MH63, which may have contributed to RSB resistance in Nipponbare. Therefore, dynamics of m6A modifications act as the main regulatory strategy for expression of genes involved in plant-insect interactions, which is attributed to differential responses of resistant and susceptible rice varieties to RSB infestation. These findings could contribute to developing molecular breeding strategies for controlling herbivorous pests.

Study on submergence tolerance of rice (Oryza sativa L.) in a core panel of North-East India using GWAS

Rice (Oryza sativa L.) being the major food crop of the north-eastern region, combating floods in rice fields for higher economic yield is a major challenge. A core panel, consisting of local rice landraces that have been cultivated in the flood-prone areas of this region for years, was used for this GWAS study to uncover possible genetic resistance sources to submergence. A study on GWAS was conducted to understand the mechanism of resistance of rice under water-submerged conditions through higher expression of genes. The GWAS analysis of a core panel of 400 rice landraces generated 38,723 filtered SNPs. The result showcased nine loci across the 12 rice chromosomes, one locus each in chromosome 2 and 4, five loci in chromosome 6, and two loci in chromosome 9. The two promising loci among these nine identified loci codes for zinc fingers, C3HC4 type domain-containing proteins, with FDR adjusted p-values of 0.04 each and allele effect of 4.60 and 4.57, respectively. These GWAS-identified association signals are a valuable source for allele mining and can be validated and introgressed into elite germplasms to decipher submergence tolerance in future breeding programs.

Mapping and candidate gene analysis of QTLs for grain shape in a rice chromosome segment substitution line Z485 and breeding of SSSLs.

The online version contains supplementary material available at 10.1007/s11032-024-01480-x.

Identification and expression analysis of XIP gene family members in rice.

Xylanase inhibitor proteins (XIP) are widely distributed in the plant kingdom, and also exist in rice. However, a systematic bioinformatics analysis of this gene family in rice (OsXIP) has not been conducted to date. In this study, we identified 32 members of the OsXIP gene family and analyzed their physicochemical properties, chromosomal localization, gene structure, protein structure, expression profiles, and interaction networks. Our results indicated that OsXIP genes exhibit an uneven distribution across eight rice chromosomes. These genes generally feature a low number of introns or are intronless, all family members, except for OsXIP20, contain two highly conserved motifs, namely Motif 8 and Motif 9. In addition, it is worth noting that the promoter regions of OsXIP gene family members feature a widespread presence of abscisic acid response elements (ABRE) and gibberellin response elements (GARE-motif and TATC-box). Quantitative Real-time PCR (qRT-PCR) analysis unveiled that the expression of OsXIP genes exhibited higher levels in leaves and roots, with considerable variation in the expression of each gene in these tissues both prior to and following treatments with abscisic acid (ABA) and gibberellin (GA3). Protein interaction studies and microRNA (miRNA) target prediction showed that OsXIP engages with key elements within the hormone-responsive and drought signaling pathways. The qRT-PCR suggested osa-miR2927 as a potential key regulator in the rice responding to drought stress, functioning as tissue-specific and temporally regulation. This study provides a theoretical foundation for further analysis of the functions within the OsXIP gene family.

Precision mapping and expression analysis of recessive bacterial blight resistance gene xa-45(t) from Oryza glaberrima.

Bacterial blight, caused by Xanthomonas oryzae pv. oryzae (Xoo), is one of the most devastating diseases of rice leading to huge yield losses in Southeast Asia. The recessive resistance gene xa-45(t) from Oryza glaberrima IRGC102600B, mapped on rice chromosome 8, spans 80Kb with 9 candidate genes on Nipponbare reference genome IRGSP-1.0. The xa-45(t) gene provides durable resistance against all the ten Xanthomonas pathotypes of Northern India, thus aiding in the expansion of recessive bacterial blight resistance gene pool. Punjab Rice PR127, carrying xa-45(t), was released for wider use in breeding programs. This study aims to precisely locate the target gene among the 9 candidates conferring resistance to bacterial blight disease. Sanger sequencing of all nine candidate genes revealed seven SNPs and an Indel between the susceptible parent Pusa 44 and the resistant introgression line IL274. The genotyping with polymorphic markers identified three recombinant breakpoints for LOC_Os08g42370, and LOC_Os08g42400, 15 recombinants for LOC_Os08g423420 and 26 for LOC_Os08g42440 out of 190 individuals. Relative expression analysis across six time intervals (0, 8, 24, 48, 72, and 96h) after bacterial blight infection showed over expression of LOC_Os08g42410-specific transcripts in IL274 compared to Pusa 44, with a significant 4.46-fold increase observed at 72h post-inoculation. The Indel marker at the locus LOC_Os08g42410 was found co-segregating with the phenotype, suggesting its candidacy towards xa-45(t). The transcript abundance assay provides strong evidence for the involvement of LOC_Os08g42410 in the resistance conferred by the bacterial blight gene xa-45(t).

Multiomics-assisted characterization of rice-Yellow Stem Borer interaction provides genomic and mechanistic insights into stem borer resistance in rice.

By deploying a multi-omics approach, we unraveled the mechanisms that might help rice to combat Yellow Stem Borer infestation, thus providing insights and scope for developing YSB resistant rice varieties. Yellow Stem Borer (YSB), Scirpophaga incertulas (Walker) (Lepidoptera: Crambidae), is a major pest of rice, that can lead to 20-60% loss in rice production. Effective management of YSB infestation is challenged by the non-availability of adequate sources of resistance and poor understanding of resistance mechanisms, thus necessitating studies for generating resources to breed YSB resistant rice and to understand rice-YSB interaction. In this study, by using bulk-segregant analysis in combination with next-generation sequencing, Quantitative Trait Loci (QTL) intervals in five rice chromosomes were mapped that could be associated with YSB resistance at the vegetative phase in a resistant rice line named SM92. Further, multiple SNP markers that showed significant association with YSB resistance in rice chromosomes 1, 5, 10, and 12 were developed. RNA-sequencing of the susceptible and resistant lines revealedseveral genes present in the candidate QTL intervals to be differentially regulated upon YSB infestation. Comparative transcriptome analysis revealed a putative candidate gene that was predicted to encode an alpha-amylase inhibitor. Analysis of the transcriptome and metabolite profiles further revealed a possible link between phenylpropanoid metabolism and YSB resistance. Taken together, our study provides deeper insights into rice-YSB interaction and enhances the understanding of YSB resistance mechanism. Importantly, a promising breeding line and markers for YSB resistance have been developed that can potentially aid in marker-assisted breeding of YSB resistance among elite rice cultivars.

Identification and expression profile analysis of rice CRF gene family

Cytokinin response factors (CRFs), as unique transcription factors in plants, play crucial roles in regulating development, phytohormone signaling pathway, and stress responses. In this study, we identified nine CRF genes from the rice genome by conducting a BLAST analysis using the protein sequences of twelve Arabidopsis AtCRFs. These genes are located on seven different rice chromosomes. We conducted a comprehensive analysis of the conserved domains, physicochemical properties, secondary structures, and phylogenetic relationships of rice CRF proteins using various online tools and local software. Additionally, we analyzed the exon-intron structures and cis-acting elements of OsCRFs, and found an abundance of elements relevant to phytohormone response and stress response on the promoters of rice CRF genes. Spatial-temporal expression pattern analysis revealed that four of the OsCRFs were barely expressed in all tested samples, while the other five were highly expressed in the leaf, panicle, or seed of rice. Microarray data showed that OsCRF genes are regulated to varying degrees by abscisic acid, auxin, cytokinin, and jasmonic acid. Furthermore, through analyzing the RNA-seq data, we found that OsCRFs are primarily involved in plant response to temperature stress (chilling and heat), with several OsCRFs also implicated in drought response, while hardly any respond to salt stress. This study provides an important basis for the functional characterization of rice CRF family genes.

Genome-wide characterization and expression of Oryza sativa AP2 transcription factor genes associated with the metabolism of mesotrione

BackgroundThe APETALA2 (AP2) transcription factor (TF) superfamily, one of the largest gene families in plants, plays an essential role in regulating plant growth and their stress responses. However, the role of AP2 in rice under pesticide stress remains unclear. To investigate the characteristics and functions of the rice AP2 gene family under pesticide stress, the expression of 105 AP2-coding genes and 26 AP2 differentially expressed genes (DEGs) were identified in mesotrione (MTR)-treated rice transcriptome datasets.ResultsThree subfamilies of the AP2 gene family (AP2/ERF, RAV, and soloists) were identified using sequence alignment and phylogenetic analysis. Chromosome location analysis revealed that the 26 rice AP2 DEGs were unevenly distributed on 10 of the 12 rice chromosomes, and segmental duplication contributed to the expansion of Oryza sativa AP2 (OsAP2) gene family. Collinearity analyses demonstrated that rice AP2 genes displayed 16 orthologous gene pairs, and 12 and 26 orthologous gene pairs were shared of Arabidopsis and soybean, respectively. In addition, rice AP2 genes featured various gene structures, cis-elements, motif compositions, and conserved domains that allowed them to encode genes that elicit biotic and abiotic stress responses. An analysis of docking between MTR and six AP2 DEGs revealed amino acid residues involved in MTR binding. Quantitative reverse transcription–polymerase chain reaction verified that several AP2 genes were preferentially expressed during MTR-induced stress. The roles of OsAP2 proteins in MTR metabolism were further supported by protein–protein interaction network analysis, which illustrated how these proteins interact with target proteins.ConclusionThe initial findings of this study define the features of the OsAP2 superfamily and offer important tools for functional analyses of OsAP2 genes implicated in the metabolism of MTR.Graphical

Methylomes as key features for predicting recombination in some plant species

Knowing how chromosome recombination works is essential for plant breeding. It enables the design of crosses between different varieties to combine desirable traits and create new ones. This is because the meiotic crossovers between homologous chromatids are not purely random, and various strategies have been developed to describe and predict such exchange events. Recent studies have used methylation data to predict chromosomal recombination in rice using machine learning models. This approach proved successful due to the presence of a positive correlation between the CHH context cytosine methylation and recombination rates in rice chromosomes. This paper assesses the question if methylation can be used to predict recombination in four plant species: Arabidopsis, maize, sorghum, and tomato. The results indicate a positive association between CHH context methylation and recombination rates in certain plant species, with varying degrees of strength in their relationships. The CG and CHG methylation contexts show negative correlation with recombination. Methylation data was key effectively in predicting recombination in sorghum and tomato, with a mean determination coefficient of 0.65 ± 0.11 and 0.76 ± 0.05, respectively. In addition, the mean correlation values between predicted and experimental recombination rates were 0.83 ± 0.06 for sorghum and 0.90 ± 0.05 for tomato, confirming the significance of methylomes in both monocotyledonous and dicotyledonous species. The predictions for Arabidopsis and maize were not as accurate, likely due to the comparatively weaker relationships between methylation contexts and recombination, in contrast to sorghum and tomato, where stronger associations were observed. To enhance the accuracy of predictions, further evaluations using data sets closely related to each other might prove beneficial. In general, this methylome-based method holds great potential as a reliable strategy for predicting recombination rates in various plant species, offering valuable insights to breeders in their quest to develop novel and improved varieties.