Beijiu Cheng
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Beijiu Cheng has a total of 88 co-authors. Here are the top co-authors by number of shared publications:
Haiyang Jiang
National Engineering Laboratory of Crop Stress Resistence, Anhui Agricultural University, Hefei, 230036, China
6 shared publicationsSuwen Zhu
Anhui Agricultural University
6 shared publications- Suwen Zhu
School of Life Sciences, Anhui Agricultural University, Hefei 230036, China
5 shared publications - Haiyang Jiang
National Engineering Laboratory of Crop Stress Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei 230036, China
4 shared publications - Haiyang Jiang
Key Laboratory of Crop Biology, Anhui Agricultural University, Hefei, China
4 shared publications Qing Dong
National Engineering Laboratory of Crop Stress Resistence, Anhui Agricultural University, Hefei, 230036, China; Maize Research Center, Anhui Academy of Agricultural Sciences, Hefei, 230031, China
4 shared publications
Latest Publications
- Open Access
- 20 June 2023
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 24  (12) , 10411
Identification and Functional Characterization of ZmSCYL2 Involved in Phytosterol Accumulation in Plants
Phytosterols are natural active substances widely found in plants and play an important role in hypolipidemia, antioxidants, antitumor, immunomodulation, plant growth, and development. In this study, phytosterols were extracted and identified from the seed embryos of 244 maize inbred lines. Based on this, a genome-wide association study (GWAS) was used to predict the possible candidate genes responsible for phytosterol content; 9 SNPs and 32 candidate genes were detected, and ZmSCYL2 was identified to be associated with phytosterol accumulation. We initially confirmed its functions in transgenic Arabidopsis and found that mutation of ZmSCYL2 resulted in slow plant growth and a significant reduction in sterol content, while overexpression of ZmSCYL2 accelerated plant growth and significantly increased sterol content. These results were further confirmed in transgenic tobacco and suggest that ZmSCYL2 was closely related to plant growth; overexpression of ZmSCYL2 not only facilitated plant growth and development but also promoted the accumulation of phytosterols.
- 20 June 2023
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 24  (12) , 10411
Open AccessIdentification and Functional Characterization of ZmSCYL2 Involved in Phytosterol Accumulation in Plants
Phytosterols are natural active substances widely found in plants and play an important role in hypolipidemia, antioxidants, antitumor, immunomodulation, plant growth, and development. In this study, phytosterols were extracted and identified from the seed embryos of 244 maize inbred lines. Based on this, a genome-wide association study (GWAS) was used to predict the possible candidate genes responsible for phytosterol content; 9 SNPs and 32 candidate genes were detected, and ZmSCYL2 was identified to be associated with phytosterol accumulation. We initially confirmed its functions in transgenic Arabidopsis and found that mutation of ZmSCYL2 resulted in slow plant growth and a significant reduction in sterol content, while overexpression of ZmSCYL2 accelerated plant growth and significantly increased sterol content. These results were further confirmed in transgenic tobacco and suggest that ZmSCYL2 was closely related to plant growth; overexpression of ZmSCYL2 not only facilitated plant growth and development but also promoted the accumulation of phytosterols.
- Open Access
Peptidome and Transcriptome Analysis of Plant Peptides Involved in Bipolaris maydis Infection of Maize
Southern corn leaf blight (SCLB) caused by Bipolaris maydis threatens maize growth and yield worldwide. In this study, TMT-labeled comparative peptidomic analysis was established between infected and uninfected maize leaf samples using liquid-chromatography-coupled tandem mass spectrometry. The results were further compared and integrated with transcriptome data under the same experimental conditions. Plant peptidomic analysis identified 455 and 502 differentially expressed peptides (DEPs) in infected maize leaves on day 1 and day 5, respectively. A total of 262 common DEPs were identified in both cases. Bioinformatic analysis indicated that the precursor proteins of DEPs are associated with many pathways generated by SCLB-induced pathological changes. The expression profiles of plant peptides and genes in maize plants were considerably altered after B. maydis infection. These findings provide new insights into the molecular mechanisms of SCLB pathogenesis and offer a basis for the development of maize genotypes with SCLB resistance.
Open AccessPeptidome and Transcriptome Analysis of Plant Peptides Involved in Bipolaris maydis Infection of Maize
Southern corn leaf blight (SCLB) caused by Bipolaris maydis threatens maize growth and yield worldwide. In this study, TMT-labeled comparative peptidomic analysis was established between infected and uninfected maize leaf samples using liquid-chromatography-coupled tandem mass spectrometry. The results were further compared and integrated with transcriptome data under the same experimental conditions. Plant peptidomic analysis identified 455 and 502 differentially expressed peptides (DEPs) in infected maize leaves on day 1 and day 5, respectively. A total of 262 common DEPs were identified in both cases. Bioinformatic analysis indicated that the precursor proteins of DEPs are associated with many pathways generated by SCLB-induced pathological changes. The expression profiles of plant peptides and genes in maize plants were considerably altered after B. maydis infection. These findings provide new insights into the molecular mechanisms of SCLB pathogenesis and offer a basis for the development of maize genotypes with SCLB resistance.
- Open Access
Applicability of Near Infrared Reflectance Spectroscopy to Predict Amylose Contents of Single-Grain Maize
Near infrared reflectance spectroscopy (NIRS) and reference data were used to determine the amylose contents of single maize seeds to enable rapid, effective selection of individual seeds with desired traits. To predict the amylose contents of a single seed, a total of 1069 (865 as calibration set, 204 as validation set) single seeds representing 120 maize varieties were analyzed using chemical methods and performed calibration and external validation of the 150 single seeds set in parallel. Compared to various spectral pretreatments, the regression of partial least squares (PLS) with mathematical treatment of Harmonization showed the final optimization. The single-seed amylose contents showed the root mean square error of calibration (RMSEC) of 2.899, coefficient of determination for calibration (R2) of 0.902, and root mean square error of validation (RMSEV) of 2.948. In external validations, the coefficient of determination in cross-validation (r2), root mean square error of the prediction (RMSEP) and ratio of the standard deviation to SEP (RPD) were 0.892, 2.975 and 3.086 in the range of 20–30%, respectively. Therefore, NIRS will be helpful to breeders for determining the amylose contents of single-grain maize.
Open AccessApplicability of Near Infrared Reflectance Spectroscopy to Predict Amylose Contents of Single-Grain Maize
Near infrared reflectance spectroscopy (NIRS) and reference data were used to determine the amylose contents of single maize seeds to enable rapid, effective selection of individual seeds with desired traits. To predict the amylose contents of a single seed, a total of 1069 (865 as calibration set, 204 as validation set) single seeds representing 120 maize varieties were analyzed using chemical methods and performed calibration and external validation of the 150 single seeds set in parallel. Compared to various spectral pretreatments, the regression of partial least squares (PLS) with mathematical treatment of Harmonization showed the final optimization. The single-seed amylose contents showed the root mean square error of calibration (RMSEC) of 2.899, coefficient of determination for calibration (R2) of 0.902, and root mean square error of validation (RMSEV) of 2.948. In external validations, the coefficient of determination in cross-validation (r2), root mean square error of the prediction (RMSEP) and ratio of the standard deviation to SEP (RPD) were 0.892, 2.975 and 3.086 in the range of 20–30%, respectively. Therefore, NIRS will be helpful to breeders for determining the amylose contents of single-grain maize.
- 1 June 2019
- Published by Elsevier in Plant Science
- Vol. 283, 407-415
Overexpression of ZmbZIP22 gene alters endosperm starch content and composition in maize and rice
- 1 June 2019
- Published by Elsevier in Plant Science
- Vol. 283, 407-415
Overexpression of ZmbZIP22 gene alters endosperm starch content and composition in maize and rice
- Open Access
- 1 March 2019
- Published by Springer Nature in Scientific Reports
- Vol. 9  (1) , 3253
Functional analysis of ZmMADS1a reveals its role in regulating starch biosynthesis in maize endosperm
MADS-box family proteins play an important role in grain formation and flower development; however, the molecular mechanisms by which transcription factors regulate the starch metabolism pathway are unclear in maize. Here, we report a transcription factor, ZmMADS1a, that controls starch biosynthesis in maize (Zea mays L.). We demonstrate the expression of ZmMADS1a in tassel, silk, and endosperm, and show that the protein is localized to the cell nucleus. Compared with the control, seeds of overexpressing ZmMADS1a increased starch content (especially amylose content), had smaller starch granules and altered chemical structure. Meanwhile, overexpression of ZmMADS1a resulted in increases in the contents of soluble sugars and reducing sugars in maize. ZmMADS1a plays a positive regulatory role in the starch biosynthesis pathway by up-regulating several starch biosynthesis related genes. We also show that ZmMADS1a has a similar adjustment mechanism of starch biosynthesis in rice. Collectively, our study suggests that ZmMADS1a functions as a positive regulator of starch biosynthesis by regulating the expression of key starch metabolism genes during seed development.
- 1 March 2019
- Published by Springer Nature in Scientific Reports
- Vol. 9  (1) , 3253
Open AccessFunctional analysis of ZmMADS1a reveals its role in regulating starch biosynthesis in maize endosperm
MADS-box family proteins play an important role in grain formation and flower development; however, the molecular mechanisms by which transcription factors regulate the starch metabolism pathway are unclear in maize. Here, we report a transcription factor, ZmMADS1a, that controls starch biosynthesis in maize (Zea mays L.). We demonstrate the expression of ZmMADS1a in tassel, silk, and endosperm, and show that the protein is localized to the cell nucleus. Compared with the control, seeds of overexpressing ZmMADS1a increased starch content (especially amylose content), had smaller starch granules and altered chemical structure. Meanwhile, overexpression of ZmMADS1a resulted in increases in the contents of soluble sugars and reducing sugars in maize. ZmMADS1a plays a positive regulatory role in the starch biosynthesis pathway by up-regulating several starch biosynthesis related genes. We also show that ZmMADS1a has a similar adjustment mechanism of starch biosynthesis in rice. Collectively, our study suggests that ZmMADS1a functions as a positive regulator of starch biosynthesis by regulating the expression of key starch metabolism genes during seed development.
- Open Access
- 1 June 2017
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 12  (6) , e0178424
Comparative transcription analysis of different Antirrhinum phyllotaxy nodes identifies major signal networks involved in vegetative-reproductive transition
Vegetative-reproductive phase change is an indispensable event which guarantees several aspects of successful meristem behaviour and organ development. Antirrhinum majus undergoes drastic changes of shoot architecture during the phase change, including phyllotactic change and leaf type alteration from opposite decussate to spiral. However, the regulation mechanism in both of phyllotactic morphology changes is still unclear. Here, the Solexa/Illumina RNA-seq high-throughput sequencing was used to evaluate the global changes of transcriptome levels among four node regions during phyllotactic development. More than 86,315,782 high quality reads were sequenced and assembled into 58,509 unigenes. These differentially expressed genes (DEGs) were classified into 118 pathways described in the KEGG database. Based on the heat-map analysis, a large number of DEGs were overwhelmingly distributed in the hormone signal pathway as well as the carbohydrate biosynthesis and metabolism. The quantitative real time (qRT)-PCR results indicated that most of DEGs were highly up-regulated in the swapping regions of phyllotactic morphology. Moreover, transcriptions factors (TFs) with high transcripts were also identified, controlling the phyllotactic morphology by the regulation of hormone and sugar-metabolism signal pathways. A number of DEGs did not align with any databases and might be novel genes involved in the phyllotactic development. These genes will serve as an invaluable genetic resource for understanding the molecular mechanism of the phyllotactic development.
- 1 June 2017
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 12  (6) , e0178424
Open AccessComparative transcription analysis of different Antirrhinum phyllotaxy nodes identifies major signal networks involved in vegetative-reproductive transition
Vegetative-reproductive phase change is an indispensable event which guarantees several aspects of successful meristem behaviour and organ development. Antirrhinum majus undergoes drastic changes of shoot architecture during the phase change, including phyllotactic change and leaf type alteration from opposite decussate to spiral. However, the regulation mechanism in both of phyllotactic morphology changes is still unclear. Here, the Solexa/Illumina RNA-seq high-throughput sequencing was used to evaluate the global changes of transcriptome levels among four node regions during phyllotactic development. More than 86,315,782 high quality reads were sequenced and assembled into 58,509 unigenes. These differentially expressed genes (DEGs) were classified into 118 pathways described in the KEGG database. Based on the heat-map analysis, a large number of DEGs were overwhelmingly distributed in the hormone signal pathway as well as the carbohydrate biosynthesis and metabolism. The quantitative real time (qRT)-PCR results indicated that most of DEGs were highly up-regulated in the swapping regions of phyllotactic morphology. Moreover, transcriptions factors (TFs) with high transcripts were also identified, controlling the phyllotactic morphology by the regulation of hormone and sugar-metabolism signal pathways. A number of DEGs did not align with any databases and might be novel genes involved in the phyllotactic development. These genes will serve as an invaluable genetic resource for understanding the molecular mechanism of the phyllotactic development.
- Open Access
- 20 February 2016
- Published by Oxford University Press (OUP) in Database: The Journal of Biological Databases and Curation
- Vol. 2016
MGFD: the maize gene families database
Most gene families are transcription factor (TF) families, which have fundamental roles in almost all biological processes (development, growth and response to environmental factors) and have been employed to manipulate various types of metabolic, developmental and stress response pathways in plants. Maize ( Zea mays ) is one of the most important cereal crops in the world due its importance to human nutrition and health. Thus, identifying and annotating all the gene families in maize is an important primary step in defining their functions and understanding their roles in the regulation of diverse biological processes. In this study, we identified 96 predicted maize gene families and systematically characterized all 5826 of the genes in those families. We have also developed a comprehensive database of maize gene families (the MGFD). To further explore the functions of these gene families, we extensively annotated the genes, including such basic information as protein sequence features, gene structure, Gene Ontology classifications, phylogenetic relationships and expression profiles. The MGFD has a user-friendly web interface with multiple browse and search functions, as well as data downloading. The MGFD is freely available to users at http://mgfd.ahau.edu.cn/ . Database URL : http://mgfd.ahau.edu.cn/
- 20 February 2016
- Published by Oxford University Press (OUP) in Database: The Journal of Biological Databases and Curation
- Vol. 2016
Open AccessMGFD: the maize gene families database
Most gene families are transcription factor (TF) families, which have fundamental roles in almost all biological processes (development, growth and response to environmental factors) and have been employed to manipulate various types of metabolic, developmental and stress response pathways in plants. Maize ( Zea mays ) is one of the most important cereal crops in the world due its importance to human nutrition and health. Thus, identifying and annotating all the gene families in maize is an important primary step in defining their functions and understanding their roles in the regulation of diverse biological processes. In this study, we identified 96 predicted maize gene families and systematically characterized all 5826 of the genes in those families. We have also developed a comprehensive database of maize gene families (the MGFD). To further explore the functions of these gene families, we extensively annotated the genes, including such basic information as protein sequence features, gene structure, Gene Ontology classifications, phylogenetic relationships and expression profiles. The MGFD has a user-friendly web interface with multiple browse and search functions, as well as data downloading. The MGFD is freely available to users at http://mgfd.ahau.edu.cn/ . Database URL : http://mgfd.ahau.edu.cn/
- Open Access
- 16 February 2016
- Published by International Union of Crystallography (IUCr) in Acta Crystallographica Section F Structural Biology Communications
- Vol. 72  (3) , 165-171
Crystal structure of maize serine racemase with pyridoxal 5′-phosphate
Serine racemase (SR) is a pyridoxal 5′-phosphate (PLP)-dependent enzyme that is responsible for D-serine biosynthesisin vivo. The first X-ray crystal structure of maize SR was determined to 2.1 Å resolution and PLP binding was confirmed in solution by UV–Vis absorption spectrometry. Maize SR belongs to the type II PLP-dependent enzymes and differs from the SR of a vancomycin-resistant bacterium. The PLP is bound to each monomer by forming a Schiff base with Lys67. Structural comparison with rat and fission yeast SRs reveals a similar arrangement of active-site residues but a different orientation of the C-terminal helix.
- 16 February 2016
- Published by International Union of Crystallography (IUCr) in Acta Crystallographica Section F Structural Biology Communications
- Vol. 72  (3) , 165-171
Open AccessCrystal structure of maize serine racemase with pyridoxal 5′-phosphate
Serine racemase (SR) is a pyridoxal 5′-phosphate (PLP)-dependent enzyme that is responsible for D-serine biosynthesisin vivo. The first X-ray crystal structure of maize SR was determined to 2.1 Å resolution and PLP binding was confirmed in solution by UV–Vis absorption spectrometry. Maize SR belongs to the type II PLP-dependent enzymes and differs from the SR of a vancomycin-resistant bacterium. The PLP is bound to each monomer by forming a Schiff base with Lys67. Structural comparison with rat and fission yeast SRs reveals a similar arrangement of active-site residues but a different orientation of the C-terminal helix.
- Open Access
- 30 September 2015
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 16  (10) , 23517-23544
Systematic Analysis of the Maize PHD-Finger Gene Family Reveals a Subfamily Involved in Abiotic Stress Response
Plant homeodomain (PHD)-finger proteins were found universally in eukaryotes and known as key players in regulating transcription and chromatin structure. Many PHD-finger proteins have been well studied on structure and function in animals. Whereas, only a few of plant PHD-finger factors had been characterized, and majority of PHD-finger proteins were functionally unclear. In this study, a complete comprehensive analysis of maize PHD family is presented. Sixty-seven PHD-finger genes in maize were identified and further divided into ten groups according to phylogenetic analysis that was supported by motif and intron/exon analysis. These genes were unevenly distributed on ten chromosomes and contained 12 segmental duplication events, suggesting that segmental duplications were the major contributors in expansion of the maize PHD family. The paralogous genes mainly experienced purifying selection with restrictive functional divergence after the duplication events on the basis of the Ka/Ks ratio. Gene digital expression analysis showed that the PHD family had a wide expression profile in maize development. In addition, 15 potential stress response genes were detected by promoter cis-element and expression analysis. Two proteins ZmPHD14 and ZmPHD19 were located in the nucleus. These results provided a solid base for future functional genome study of the PHD-finger family in maize and afforded important clues for characterizing and cloning potentially important candidates in response to abiotic stresses.
- 30 September 2015
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 16  (10) , 23517-23544
Open AccessSystematic Analysis of the Maize PHD-Finger Gene Family Reveals a Subfamily Involved in Abiotic Stress Response
Plant homeodomain (PHD)-finger proteins were found universally in eukaryotes and known as key players in regulating transcription and chromatin structure. Many PHD-finger proteins have been well studied on structure and function in animals. Whereas, only a few of plant PHD-finger factors had been characterized, and majority of PHD-finger proteins were functionally unclear. In this study, a complete comprehensive analysis of maize PHD family is presented. Sixty-seven PHD-finger genes in maize were identified and further divided into ten groups according to phylogenetic analysis that was supported by motif and intron/exon analysis. These genes were unevenly distributed on ten chromosomes and contained 12 segmental duplication events, suggesting that segmental duplications were the major contributors in expansion of the maize PHD family. The paralogous genes mainly experienced purifying selection with restrictive functional divergence after the duplication events on the basis of the Ka/Ks ratio. Gene digital expression analysis showed that the PHD family had a wide expression profile in maize development. In addition, 15 potential stress response genes were detected by promoter cis-element and expression analysis. Two proteins ZmPHD14 and ZmPHD19 were located in the nucleus. These results provided a solid base for future functional genome study of the PHD-finger family in maize and afforded important clues for characterizing and cloning potentially important candidates in response to abiotic stresses.
- Open Access
- 1 January 2015
- Published by Ivyspring International Publisher in International Journal of Biological Sciences
- Vol. 11  (7) , 781-793
Identification and Characterization of Novel Maize Mirnas Involved in Different Genetic Background
MicroRNAs (miRNAs) are a class of small, non-coding regulatory RNAs that regulate gene expression by guiding target mRNA cleavage or translational inhibition in plants and animals. At present there is relatively little information regarding the role of miRNAs in the response to drought stress in maize. In this study, two small RNA libraries were sequenced, and a total of 11,973,711 and 14,326,010 raw sequences were generated from growing leaves of drought-tolerant and drought-sensitive maize seedlings, respectively. Further analysis identified 192 mature miRNAs, which include 124 known maize (zma) miRNAs and 68 potential novel miRNA candidates. Additionally, 167 target genes (259 transcripts) of known and novel miRNAs were predicted to be differentially expressed between two maize inbred lines. Of these, three novel miRNAs were up-regulated and two were down-regulated under drought stress. The expression of these five miRNAs and nine target genes was confirmed using quantitative reverse transcription PCR. The expression of three of the miRNAs and their putative target genes exhibited an inverse correlation, and expression analysis suggested that all five may play important roles in maize leaves. Finally, GO annotations of the target genes indicated a potential role in photosynthesis, may therefore contribute to the drought stress response. This study describes the identification and characterization of novel miRNAs that are the differentially expressed in drought-tolerant and drought-sensitive inbred maize lines. This provides the foundation for further investigation into the mechanism of miRNA function in response to drought stress in maize.
- 1 January 2015
- Published by Ivyspring International Publisher in International Journal of Biological Sciences
- Vol. 11  (7) , 781-793
Open AccessIdentification and Characterization of Novel Maize Mirnas Involved in Different Genetic Background
MicroRNAs (miRNAs) are a class of small, non-coding regulatory RNAs that regulate gene expression by guiding target mRNA cleavage or translational inhibition in plants and animals. At present there is relatively little information regarding the role of miRNAs in the response to drought stress in maize. In this study, two small RNA libraries were sequenced, and a total of 11,973,711 and 14,326,010 raw sequences were generated from growing leaves of drought-tolerant and drought-sensitive maize seedlings, respectively. Further analysis identified 192 mature miRNAs, which include 124 known maize (zma) miRNAs and 68 potential novel miRNA candidates. Additionally, 167 target genes (259 transcripts) of known and novel miRNAs were predicted to be differentially expressed between two maize inbred lines. Of these, three novel miRNAs were up-regulated and two were down-regulated under drought stress. The expression of these five miRNAs and nine target genes was confirmed using quantitative reverse transcription PCR. The expression of three of the miRNAs and their putative target genes exhibited an inverse correlation, and expression analysis suggested that all five may play important roles in maize leaves. Finally, GO annotations of the target genes indicated a potential role in photosynthesis, may therefore contribute to the drought stress response. This study describes the identification and characterization of novel miRNAs that are the differentially expressed in drought-tolerant and drought-sensitive inbred maize lines. This provides the foundation for further investigation into the mechanism of miRNA function in response to drought stress in maize.