16 results on '"Xia, Xiuzhong"'
Search Results
2. OsNPF3.1, a member of the NRT1/PTR family, increases nitrogen use efficiency and biomass production in rice
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Yang, Xinghai, Nong, Baoxuan, Chen, Can, Wang, Junrui, Xia, Xiuzhong, Zhang, Zongqiong, Wei, Yu, Zeng, Yu, Feng, Rui, Wu, Yanyan, Guo, Hui, Yan, Haifeng, Liang, Yuntao, Liang, Shuhui, Yan, Yong, Li, Danting, and Deng, Guofu
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- 2023
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3. Assessment of Rice Sheath Blight Resistance Including Associations with Plant Architecture, as Revealed by Genome-Wide Association Studies
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Li, Danting, Zhang, Fantao, Pinson, Shannon R. M., Edwards, Jeremy D., Jackson, Aaron K., Xia, Xiuzhong, and Eizenga, Georgia C.
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- 2022
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4. Metabolome and Transcriptome Unveil the Correlated Metabolites and Transcripts with 2-acetyl-1-pyrroline in Fragrant Rice.
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Zeng, Yu, Nong, Baoxuan, Xia, Xiuzhong, Zhang, Zongqiong, Wang, Yuhao, Xu, Yong, Feng, Rui, Guo, Hui, Liang, Yuntao, Chen, Can, Liang, Shuhui, Jiang, Xianbin, Yang, Xinghai, and Li, Danting
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GENE expression ,RICE breeding ,PROLINE metabolism ,COMPLEX compounds ,GENE regulatory networks - Abstract
Fragrance is a valuable trait in rice varieties, with its aroma significantly influencing consumer preference. In this study, we conducted comprehensive metabolome and transcriptome analyses to elucidate the genetic and biochemical basis of fragrance in the Shangsixiangnuo (SSXN) variety, a fragrant indica rice cultivated in Guangxi, China. Through sensory evaluation and genetic analysis, we confirmed SSXN as strongly fragrant, with an 806 bp deletion in the BADH2 gene associated with fragrance production. In the metabolome analysis, a total of 238, 233, 105 and 60 metabolic compounds exhibited significant changes at the seedling (S), reproductive (R), filling (F), and maturation (M) stages, respectively. We identified four compounds that exhibited significant changes in SSXN across all four development stages. Our analyses revealed a significant upregulation of 2-acetyl-1-pyrroline (2AP), the well-studied aromatic compound, in SSXN compared to the non-fragrant variety. Additionally, correlation analysis identified several metabolites strongly associated with 2AP, including ethanone, 1-(1H-pyrrol-2-yl)-, 1H-pyrrole, and pyrrole. Furthermore, Weighted Gene Co-expression Network Analysis (WGCNA) analysis highlighted the magenta and yellow modules as particularly enriched in aroma-related metabolites, providing insights into the complex aromatic compounds underlying the fragrance of rice. In the transcriptome analysis, a total of 5582, 5506, 4965, and 4599 differential expressed genes (DEGs) were identified across the four developmental stages, with a notable enrichment of the common pathway amino sugar and nucleotide sugar metabolism in all stages. In our correlation analysis between metabolome and transcriptome data, the top three connected metabolites, phenol-, 3-amino-, and 2AP, along with ethanone, 1-(1H-pyrrol-2-yl)-, exhibited strong associations with transcripts, highlighting their potential roles in fragrance biosynthesis. Additionally, the downregulated expression of the P4H4 gene, encoding a procollagen-proline dioxygenase that specifically targets proline, in SSXN suggests its involvement in proline metabolism and potentially in aroma formation pathways. Overall, our study provides comprehensive insights into the genetic and biochemical mechanisms underlying fragrance production in rice, laying the foundation for further research aimed at enhancing fragrance quality in rice breeding programs. [ABSTRACT FROM AUTHOR]
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- 2024
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5. DeepCCR: large‐scale genomics‐based deep learning method for improving rice breeding.
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Ma, Xiaoding, Wang, Hao, Wu, Shengyang, Han, Bing, Cui, Di, Liu, Jin, Zhang, Qiang, Xia, Xiuzhong, Song, Peng, Tang, Cuifeng, Geng, Leiyue, Yang, Yaolong, Yan, Shen, Zhou, Kunneng, and Han, Longzhi
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CONVOLUTIONAL neural networks ,ARTIFICIAL neural networks ,AGRICULTURAL technology ,RICE breeding ,AGRICULTURE ,RICE ,INTERNET servers ,RICE quality ,HYBRID rice - Published
- 2024
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6. Identification and evaluation of reference genes for quantitative real-time PCR analysis in Passiflora edulis under stem rot condition
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Wu, Yanyan, Tian, Qinglan, Huang, Weihua, Liu, Jieyun, Xia, Xiuzhong, Yang, Xinghai, and Mou, Haifei
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- 2020
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7. Genome-wide identification of the peptide transporter family in rice and analysis of the PTR expression modulation in two near-isogenic lines with different nitrogen use efficiency
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Yang, Xinghai, Xia, Xiuzhong, Zeng, Yu, Nong, Baoxuan, Zhang, Zongqiong, Wu, Yanyan, Tian, Qinglan, Zeng, Weiying, Gao, Ju, Zhou, Weiyong, Liang, Haifu, Li, Danting, and Deng, Guofu
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- 2020
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8. Rapid identification of a new gene influencing low amylose content in rice landraces (Oryza sativa L.) using genome-wide association study with specific-locus amplified fragment sequencing
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Yang, Xinghai, Nong, Baoxuan, Xia, Xiuzhong, Zhang, Zongqiong, Zeng, Yu, Liu, Kaiqiang, Deng, Guofu, and Li, Danting
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Nucleotide sequencing -- Methods -- Genetic aspects ,DNA sequencing -- Methods -- Genetic aspects ,Rice -- Genetic aspects -- Methods ,Genome-wide association studies -- Methods ,Biological sciences - Abstract
Abstract: Starch is the major component of milled rice, and amylose content (AC) affects eating quality. In this study, a genome-wide association study (GWAS) with specific-locus amplified fragment sequencing (SLAF-seq) [...]
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- 2017
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9. Combined Analysis of BSA-Seq Based Mapping, RNA-Seq, and Metabolomic Unraveled Candidate Genes Associated with Panicle Grain Number in Rice (Oryza sativa L.).
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Ma, Yafei, Mackon, Enerand, Jeazet Dongho Epse Mackon, Guibeline Charlie, Zhao, Yitong, Li, Qiufeng, Dai, Xianggui, Yao, Yuhang, Xia, Xiuzhong, Nong, Baoxuan, and Liu, Piqing
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METABOLOMICS ,PHYSIOLOGY ,ALCOHOL dehydrogenase ,METHIONINE metabolism ,RNA sequencing ,RICE ,GRAIN - Abstract
Rice grain yield is a complex and highly variable quantitative trait consisting of several key components, including the grain weight, the effective panicles per unit area, and the grain number per panicle (GNPP). The GNPP is a significant contributor to grain yield controlled by multiple genes (QTL) and is crucial for improvement. Attempts have been made to find genes for this trait, which has always been a challenging and arduous task through conventional methods. We combined a BSA analysis, RNA profiling, and a metabolome analysis in the present study to identify new candidate genes involved in the GNPP. The F
2 population from crossing R4233 (high GNPP) and Ce679 (low GNPP) revealed a frequency distribution fitting two segregated genes. Three pools, including low, middle, and high GNPP, were constructed and a BSA analysis revealed six candidate regions spanning 5.38 Mb, containing 739 annotated genes. Further, a conjunctive analysis of BSA-Seq and RNA-Seq showed 31 differentially expressed genes (DEGs) in the candidate intervals. Subsequently, a metabolome analysis showed 1024 metabolites, with 71 significantly enriched, including 44 up and 27 downregulated in Ce679 vs. R4233. A KEGG enrichment analysis of these 31 DEGs and 71 differentially enriched metabolites (DEMs) showed two genes, Os12g0102100 and Os01g0580500, significantly enriched in the metabolic pathways' biosynthesis of secondary metabolites, cysteine and methionine metabolism, and fatty acid biosynthesis. Os12g0102100, which encodes for the alcohol dehydrogenase superfamily and a zinc-containing protein, is a novel gene whose contribution to the GNPP is not yet elucidated. This gene coding for mitochondrial trans-2-enoyl-CoA reductase is involved in the biosynthesis of myristic acid, also known as tetradecanoic acid. The Os01g0580500 coding for the enzyme 1-aminoclopropane-1-carboxylate oxidase (OsACO7) is responsible for the final step of the ethylene biosynthesis pathway through the conversion of 1-aminocyclopropane-1-carboxylic acid (ACC) into ethylene. Unlike Os12g0102100, this gene was significantly upregulated in R4233, downregulated in Ce679, and significantly enriched in two of the three metabolite pathways. This result pointed out that these two genes are responsible for the difference in the GNPP in the two cultivars, which has never been identified. Further validation studies may disclose the physiological mechanisms through which they regulate the GNPP in rice. [ABSTRACT FROM AUTHOR]- Published
- 2022
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10. OsTTG1, a WD40 repeat gene, regulates anthocyanin biosynthesis in rice.
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Yang, Xinghai, Wang, Junrui, Xia, Xiuzhong, Zhang, Zongqiong, He, Jie, Nong, Baoxuan, Luo, Tongping, Feng, Rui, Wu, Yanyan, Pan, Yinghua, Xiong, Faqian, Zeng, Yu, Chen, Can, Guo, Hui, Xu, Zhijian, Li, Danting, and Deng, Guofu
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ANTHOCYANINS ,BIOSYNTHESIS ,RICE ,GERMPLASM ,GENETIC engineering ,IMMOBILIZED proteins - Abstract
Summary: Anthocyanins play an important role in the growth of plants, and are beneficial to human health. In plants, the MYB‐bHLH‐WD40 (MBW) complex activates the genes for anthocyanin biosynthesis. However, in rice, the WD40 regulators remain to be conclusively identified. Here, a crucial anthocyanin biosynthesis gene was fine mapped to a 43.4‐kb genomic region on chromosome 2, and a WD40 gene OsTTG1 (Oryza sativa TRANSPARENT TESTA GLABRA1) was identified as ideal candidate gene. Subsequently, a homozygous mutant (osttg1) generated by CRISPR/Cas9 showed significantly decreased anthocyanin accumulation in various rice organs. OsTTG1 was highly expressed in various rice tissues after germination, and it was affected by light and temperature. OsTTG1 protein was localized to the nucleus, and can physically interact with Kala4, OsC1, OsDFR and Rc. Furthermore, a total of 59 hub transcription factor genes might affect rice anthocyanin biosynthesis, and LOC_Os01g28680 and LOC_Os02g32430 could have functional redundancy with OsTTG1. Phylogenetic analysis indicated that directional selection has driven the evolutionary divergence of the indica and japonica OsTTG1 alleles. Our results suggest that OsTTG1 is a vital regulator of anthocyanin biosynthesis, and an important gene resource for the genetic engineering of anthocyanin biosynthesis in rice and other plants. Significance Statement: Anthocyanins have an important health care effect on human health. Thus, it is very important to explore the biosynthesis of anthocyanins in rice. We reported the map‐based cloning and characterization of OsTTG1, a key gene that regulates the anthocyanin biosynthesis in various rice organs. Our findings provide an understanding of the regulation of the plant anthocyanin biosynthesis. [ABSTRACT FROM AUTHOR]
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- 2021
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11. Identification of candidate genes for gelatinization temperature, gel consistency and pericarp color by GWAS in rice based on SLAF-sequencing.
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Yang, Xinghai, Xia, Xiuzhong, Zeng, Yu, Nong, Baoxuan, Zhang, Zongqiong, Wu, Yanyan, Xiong, Faqian, Zhang, Yuexiong, Liang, Haifu, Deng, Guofu, and Li, Danting
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GELATION , *PERICARP , *PLANT breeding , *PLANT germplasm ,RICE genetics - Abstract
Rice is an important cereal in the world. The study of the genetic basis of important agronomic traits in rice landraces and identification of genes will facilitate the breed improvement. Gelatinization temperature (GT), gel consistency (GC) and pericarp color (PC) are important indices of rice cooking and eating quality evaluation and potential nutritional importance, which attract wide attentions in the application of genetic and breeding. To dissect the genetic basis of GT, GC and PC, a total of 419 rice landraces core germplasm collections consisting of 330 indica lines, 78 japonica lines and 11 uncertain varieties were planted, collected, then GT, GC, PC were measured for two years, and sequenced using specific-locus amplified fragment sequencing (SLAF-seq) technology. In this study, 261,385,070 clean reads and 56,768 polymorphic SLAF tags were obtained, which a total of 211,818 single nucleotide polymorphisms (SNPs) were discovered. With 208,993 SNPs meeting the criterion of minor allele frequency (MAF) > 0.05 and integrity> 0.5, the phylogenetic tree and population structure analysis were performed for all 419 rice landraces, and the whole panel mainly separated into six subpopulations based on population structure analysis. Genome-wide association study (GWAS) was carried out for the whole panel, indica subpanel and japonica subpanel with subset SNPs respectively. One quantitative trait locus (QTL) on chromosome 6 for GT was detected in the whole panel and indica subpanel, and one QTL associated with GC was located on chromosome 6 in the whole panel and indica subpanel. For the PC trait, 8 QTLs were detected in the whole panel on chromosome 1, 3, 4, 7, 8, 10 and 11, and 7 QTLs in the indica subpanel on chromosome 3, 4, 7, 8, 10 and 11. For the three traits, no QTL was detected in japonica subpanel, probably because of the polymorphism repartition between the subpanel, or small population size of japonica subpanel. This paper provides new gene resources and insights into the molecular mechanisms of important agricultural trait of rice phenotypic variation and genetic improvement of rice quality variety breeding. [ABSTRACT FROM AUTHOR]
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- 2018
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12. Identification of anthocyanin biosynthesis genes in rice pericarp using PCAMP.
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Yang, Xinghai, Xia, Xiuzhong, Zhang, Zongqiong, Nong, Baoxuan, Zeng, Yu, Wu, Yanyan, Xiong, Faqian, Zhang, Yuexiong, Liang, Haifu, Pan, Yinghua, Dai, Gaoxing, Deng, Guofu, and Li, Danting
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ANTHOCYANINS , *RICE hulls , *BIOSYNTHESIS , *GENES , *HOMOZYGOSITY - Published
- 2019
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13. WD40 protein OsTTG1 promotes anthocyanin accumulation and CBF transcription factor-dependent pathways for rice cold tolerance.
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Zhu C, Yang X, Chen W, Xia X, Zhang Z, Qing D, Nong B, Li J, Liang S, Luo S, Zhou W, Yan Y, Dai G, Li D, and Deng G
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Temperature is a critical abiotic factor affecting rice (Oryza sativa L.) yields, and cold stress at the seedling stage can inhibit plant growth or even be fatal. Antioxidants such as anthocyanins accumulate in a variety of plants during cold stress, but the underlying mechanisms are not well understood. Here, we report that rice TRANSPARENT TESTA GLABRA 1 (OsTTG1), a major regulator of anthocyanin biosynthesis in rice, responds to short- and long-term cold stress at both the transcriptional and protein levels. Metabolomic and transcriptomic data indicate that OsTTG1 activates the expression of anthocyanidin synthase (OsANS) genes under cold stress. Our data also suggest that OsTTG1 forms a MYB-bHLH-WD (MBW) complex with Basic helix-loop-helix 148 (OsbHLH148) and Myb-related S3 (OsMYBS3), and this complex activates the expression of Dehydration-responsive element-binding protein 1 (OsDREB1) and OsANS genes. Together, our findings reveal the mechanisms by which OsTTG1 coordinates both anthocyanin biosynthesis and the expression of cold-responsive genes in colored rice, providing genetic resources for future cold resistance breeding in rice., Competing Interests: Conflict of interest statement. The authors declare no conflicts of interest for this work., (© The Author(s) 2024. Published by Oxford University Press on behalf of American Society of Plant Biologists. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)
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- 2024
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14. Genome-wide association study using specific-locus amplified fragment sequencing identifies new genes influencing nitrogen use efficiency in rice landraces.
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Liao Z, Xia X, Zhang Z, Nong B, Guo H, Feng R, Chen C, Xiong F, Qiu Y, Li D, and Yang X
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Nitrogen is essential for crop production. It is a critical macronutrient for plant growth and development. However, excessive application of nitrogen fertilizer is not only a waste of resources but also pollutes the environment. An effective approach to solving this problem is to breed rice varieties with high nitrogen use efficiency (NUE). In this study, we performed a genome-wide association study (GWAS) on 419 rice landraces using 208,993 single nucleotide polymorphisms (SNPs). With the mixed linear model (MLM) in the Tassel software, we identified 834 SNPs associated with root surface area (RSA), root length (RL), root branch number (RBN), root number (RN), plant dry weight (PDW), plant height (PH), root volume (RL), plant fresh weight (PFW), root fractal dimension (RFD), number of root nodes (NRN), and average root diameter (ARD), with a significant level of p < 2.39×10
-7 . In addition, we found 49 SNPs that were correlated with RL, RBN, RN, PDW, PH, PFW, RFD, and NRN using genome-wide efficient mixed-model association (GEMMA), with a significant level of p < 1×10-6 . Additionally, the final results for eight traits associated with 193 significant SNPs by using multi-locus random-SNP-effect mixed linear model (mrMLM) model and 272 significant SNPs associated with 11 traits by using IIIVmrMLM. Within the linkage intervals of significantly associated SNP, we identified eight known related genes to NUE in rice, namely, OsAMT2;3, OsGS1, OsNR2, OsNPF7.4, OsPTR9, OsNRT1.1B, OsNRT2.3 , and OsNRT2.2 . According to the linkage disequilibrium (LD) decay value of this population, there were 75 candidate genes within the 150-kb regions upstream and downstream of the most significantly associated SNP (Chr5_29804690, Chr5_29956584, and Chr10_17540654). These candidate genes included 22 transposon genes, 25 expressed genes, and 28 putative functional genes. The expression levels of these candidate genes were measured by real-time quantitative PCR (RT-qPCR), and the expression levels of LOC_Os05g51700 and LOC_Os05g51710 in C347 were significantly lower than that in C117; the expression levels of LOC_Os05g51740 , LOC_Os05g51780 , LOC_Os05g51960 , LOC_Os05g51970 , and LOC_Os10g33210 were significantly higher in C347 than C117. Among them, LOC_Os10g33210 encodes a peptide transporter, and LOC_Os05g51690 encodes a CCT domain protein and responds to NUE in rice. This study identified new loci related to NUE in rice, providing new genetic resources for the molecular breeding of rice landraces with high NUE., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer D-LH declared a shared affiliation with the authors XX, ZZ, BN, HG, RF, CC, FX, DL, and XY to the handling editor at the time of review., (Copyright © 2023 Liao, Xia, Zhang, Nong, Guo, Feng, Chen, Xiong, Qiu, Li and Yang.)- Published
- 2023
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15. Comparative transcriptomic analysis reveals the cold acclimation during chilling stress in sensitive and resistant passion fruit ( Passiflora edulis) cultivars.
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Wu Y, Huang W, Tian Q, Liu J, Xia X, Yang X, and Mou H
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Chilling stress (CS) is an important limiting factor for the growth and development of passion fruit ( Passiflora edulis ) in winter in South China. However, little is known about how the passion fruit responds and adapts to CS. In this study, we performed transcriptome sequencing of cold-susceptible cultivar Huangjinguo (HJG) and cold-tolerant cultivar Tainong 1 (TN1) under normal temperature (NT) and CS conditions, and a total of 47,353 unigenes were obtained by seven databases. Using differentially expressed unigenes (DEGs) analysis, 3,248 and 4,340 DEGs were identified at two stages, respectively. The Gene Ontology (GO) enrichment analysis showed that the DEGs were mainly related to phosphorylation, membrane protein, and catalytic activity. In Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, the unigenes of plant-pathogen interaction, plant hormone signal transduction and fatty acid metabolism were enriched. Then, the 12,471 filtered unigenes were clustered into eight co-expression modules, and two modules were correlated with CS. In this two modules, 32 hub unigenes were obtained. Furthermore, the unigenes related to CS were validated using quantitative real-time PCR (RT-qPCR). This work showed that the expression levels of CS-related unigenes were very different in two passion fruit cultivars. The results provide information for the development of passion fruit with increased chilling tolerance., Competing Interests: The authors declare there are no competing interests., (©2021 Wu et al.)
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- 2021
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16. QTL Mapping by Whole Genome Re-sequencing and Analysis of Candidate Genes for Nitrogen Use Efficiency in Rice.
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Yang X, Xia X, Zhang Z, Nong B, Zeng Y, Xiong F, Wu Y, Gao J, Deng G, and Li D
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Nitrogen is a major nutritional element in rice production. However, excessive application of nitrogen fertilizer has caused severe environmental pollution. Therefore, development of rice varieties with improved nitrogen use efficiency (NUE) is urgent for sustainable agriculture. In this study, bulked segregant analysis (BSA) combined with whole genome re-sequencing (WGS) technology was applied to finely map quantitative trait loci (QTL) for NUE. A key QTL, designated as qNUE6 was identified on chromosome 6 and further validated by Insertion/Deletion (InDel) marker-based substitutional mapping in recombinants from F
2 population (NIL-13B4 × GH998). Forty-four genes were identified in this 266.5-kb region. According to detection and annotation analysis of variation sites, 39 genes with large-effect single-nucleotide polymorphisms (SNPs) and large-effect InDels were selected as candidates and their expression levels were analyzed by qRT-PCR. Significant differences in the expression levels of LOC_Os06g15370 (peptide transporter PTR2) and LOC_Os06g15420 (asparagine synthetase) were observed between two parents (Y11 and GH998). Phylogenetic analysis in Arabidopsis thaliana identified two closely related homologs, AT1G68570 ( AtNPF3.1 ) and AT5G65010 ( ASN2 ), which share 72.3 and 87.5% amino acid similarity with LOC_Os06g15370 and LOC_Os06g15420 , respectively. Taken together, our results suggested that qNUE6 is a possible candidate gene for NUE in rice. The fine mapping and candidate gene analysis of qNUE6 provide the basis of molecular breeding for genetic improvement of rice varieties with high NUE, and lay the foundation for further cloning and functional analysis.- Published
- 2017
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