Ping Zhang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Ping Zhang has a total of 26 co-authors. Here are the top co-authors by number of shared publications:
- Xudong Zhu
Beijing Key Laboratory of Genetic Engineering Drug and Biotechnology, College of Life Sciences, Beijing Normal University, Beijing 100875, China
6 shared publications - Chenxi Li
Beijing Key Laboratory of Genetic Engineering Drug and Biotechnology, College of Life Sciences, Beijing Normal University , Beijing 100875, China
5 shared publications Lan Ma
Beijing Key Laboratory of Genetic Engineering Drug and Biotechnology, College of Life Sciences, Beijing Normal University , Beijing 100875, China
3 shared publicationsXiaoyu Ma
Beijing Key Laboratory of Genetic Engineering Drug and Biotechnology, College of Life Sciences, Beijing Normal University, Beijing, 100875, China
3 shared publicationsSihui Zhen
Beijing Key Laboratory of Traditional Chinese Veterinary Medicine, Animal Science and Technology College, Beijing University of Agriculture , Beijing 102206 , China
2 shared publications- Xiaoyu Ma
State Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
2 shared publications
Latest Publications
- 10 December 2022
- Published by Oxford University Press (OUP) in Medical Mycology
- Vol. 61 (2)
RNAi machinery regulates nutrient metabolism and fluconazole resistance in the pathogenic fungusCryptococcus deneoformans
The RNAi machinery has been extensively studied in plant and animal cells for their crucial roles in regulation of genome function. However, the potential roles of RNAi in controlling fungal growth and development have been poorly studied, especially in the basidiomycetous yeast Cryptococcus deneoformans. To characterize the biological functions of RNAi in the pathogenic fungus, comparative analysis of mRNA profiles using the high-throughput sequencing technology was performed for the wild type and the RNAi mutants of C. deneoformans. The results revealed a clear difference in the expression of genes associated with metabolic processes in the RNAi mutants. Besides, the growth under nutrient-limited conditions was significantly reduced in the ago2Δ mutant, suggesting the essential roles of Ago2 in nutrient metabolism. Further investigations revealed the differentially expressed transporters in the RNAi mutants, in which transporters involved in fluconazole efflux were significantly up-regulated. More importantly, on account of the upregulated transporters, RNAi mutant strains developed resistance to fluconazole. By disrupting AFR1 gene using the ‘suicide’ CRISPR-Cas9 system, we verified that the upregulated ABC transporter Afr1 in the RNAi mutants contributed to the fluconazole resistance. In summary, our data demonstrate that in C. deneoformans the RNAi pathway participates in nutrient metabolism and plays a role in the repression of fluconazole resistance, which provides a deep insight into RNAi mechanisms in Cryptococcus and brings great hints for clinical treatment of cryptococcosis. ● Transcriptome sequencing reveals biological functions of RNAi in C. deneoformans. ● Nutritional metabolism is deficient due to the AGO2 disruption. ● RNAi mechanism inhibits fluconazole resistance by regulating the expression of transporters.
- 10 December 2022
- Published by Oxford University Press (OUP) in Medical Mycology
- Vol. 61 (2)
RNAi machinery regulates nutrient metabolism and fluconazole resistance in the pathogenic fungusCryptococcus deneoformans
The RNAi machinery has been extensively studied in plant and animal cells for their crucial roles in regulation of genome function. However, the potential roles of RNAi in controlling fungal growth and development have been poorly studied, especially in the basidiomycetous yeast Cryptococcus deneoformans. To characterize the biological functions of RNAi in the pathogenic fungus, comparative analysis of mRNA profiles using the high-throughput sequencing technology was performed for the wild type and the RNAi mutants of C. deneoformans. The results revealed a clear difference in the expression of genes associated with metabolic processes in the RNAi mutants. Besides, the growth under nutrient-limited conditions was significantly reduced in the ago2Δ mutant, suggesting the essential roles of Ago2 in nutrient metabolism. Further investigations revealed the differentially expressed transporters in the RNAi mutants, in which transporters involved in fluconazole efflux were significantly up-regulated. More importantly, on account of the upregulated transporters, RNAi mutant strains developed resistance to fluconazole. By disrupting AFR1 gene using the ‘suicide’ CRISPR-Cas9 system, we verified that the upregulated ABC transporter Afr1 in the RNAi mutants contributed to the fluconazole resistance. In summary, our data demonstrate that in C. deneoformans the RNAi pathway participates in nutrient metabolism and plays a role in the repression of fluconazole resistance, which provides a deep insight into RNAi mechanisms in Cryptococcus and brings great hints for clinical treatment of cryptococcosis. ● Transcriptome sequencing reveals biological functions of RNAi in C. deneoformans. ● Nutritional metabolism is deficient due to the AGO2 disruption. ● RNAi mechanism inhibits fluconazole resistance by regulating the expression of transporters.
- 14 October 2022
- Published by Oxford University Press (OUP) in Medical Mycology
- Vol. 60 (11)
The RNA helicase Ski2 in the fungal pathogen Cryptococcus neoformans highlights key roles in azoles resistance and stress tolerance
The yeast SKI (superkiller) complex was originally identified from cells that were infected by the M ‘killer’ virus. Ski2, as the core of the SKI complex, is a cytoplasmic cofactor and regulator of RNA-degrading exosome. The putative RNA helicase Ski2 was highly conserved from yeast to animals and has been demonstrated to play a key role in the regulation of RNA surveillance, temperature sensitivity, and growth in several yeasts but not yet in Cryptococcus neoformans (C. neoformans). Here, we report the identification of a gene encoding an equivalent Ski2 protein, named SKI2, in the fungal pathogen C. neoformans. To obtain insights into the function of Ski2, we created a mutant strain, ski2Δ, with the CRISPR–Cas9 editing tool. Disruption of SKI2 impaired cell wall integrity. Further investigations revealed the defects of the ski2Δ mutant in resistance to osmotic stresses and extreme growth temperatures. However, significantly, the ability to undergo invasive growth under nutrient-depleted conditions was increased in the ski2Δ mutant. More importantly, our results showed that the ski2Δ mutant exhibited slightly lower virulence and severe susceptibility to anti-ribosomal drugs by comparison to the wild type, but it developed multidrug resistance to azoles and flucytosine. By constructing the double deletion strain ski2Δafr1Δ, we verified that increased Afr1 in ski2Δ contributed to the azole resistance, which might be influenced by nonclassical small interfering RNA. Our work suggests that Ski2 plays critical roles in drug resistance and regulation of gene transcription in the yeast pathogen C. neoformans.
- 14 October 2022
- Published by Oxford University Press (OUP) in Medical Mycology
- Vol. 60 (11)
The RNA helicase Ski2 in the fungal pathogen Cryptococcus neoformans highlights key roles in azoles resistance and stress tolerance
The yeast SKI (superkiller) complex was originally identified from cells that were infected by the M ‘killer’ virus. Ski2, as the core of the SKI complex, is a cytoplasmic cofactor and regulator of RNA-degrading exosome. The putative RNA helicase Ski2 was highly conserved from yeast to animals and has been demonstrated to play a key role in the regulation of RNA surveillance, temperature sensitivity, and growth in several yeasts but not yet in Cryptococcus neoformans (C. neoformans). Here, we report the identification of a gene encoding an equivalent Ski2 protein, named SKI2, in the fungal pathogen C. neoformans. To obtain insights into the function of Ski2, we created a mutant strain, ski2Δ, with the CRISPR–Cas9 editing tool. Disruption of SKI2 impaired cell wall integrity. Further investigations revealed the defects of the ski2Δ mutant in resistance to osmotic stresses and extreme growth temperatures. However, significantly, the ability to undergo invasive growth under nutrient-depleted conditions was increased in the ski2Δ mutant. More importantly, our results showed that the ski2Δ mutant exhibited slightly lower virulence and severe susceptibility to anti-ribosomal drugs by comparison to the wild type, but it developed multidrug resistance to azoles and flucytosine. By constructing the double deletion strain ski2Δafr1Δ, we verified that increased Afr1 in ski2Δ contributed to the azole resistance, which might be influenced by nonclassical small interfering RNA. Our work suggests that Ski2 plays critical roles in drug resistance and regulation of gene transcription in the yeast pathogen C. neoformans.
- 20 September 2022
- Published by Oxford University Press (OUP) in Pathogens and Disease
- Vol. 80 (1)
Involvement of the Noncanonical Polyadenylation Polymerase Cid14 in Fungal Azole Resistance in the Pathogen Cryptococcus neoformans
The yeast noncanonical polyadenylation polymerase Cid14 was originally identified from fission yeast and plays a critical role in the TRAMP complex. This protein is a cytoplasmic cofactor and regulator of RNA-degrading exosomes. Cid14 is highly conserved from yeast to animals and has been demonstrated to play key roles in the regulation of RNA surveillance, nutrition metabolism, and growth in model organisms, but not yet in Cryptococcus neoformans (C. neoformans). Here, we report the identification of a gene encoding an equivalent Cid14 protein, named CID14, in the fungal pathogen C. neoformans. To obtain insights into the function of Cid14, we created a mutant strain, cid14Δ, with the CRISPR–Cas9 editing tool. Disruption of CID14 impaired cell membrane stability. Further investigations revealed the defects of the cid14Δ mutant in resistance to low carbohydrate levels. Meanwhile, significantly, the ability to grow under flucytosine stress was decreased in the cid14Δ mutant. More importantly, our results showed that the cid14Δ mutant does not affect yeast virulence but exhibits multidrug resistance to azole. Our work is the first to suggest that Cid14 plays critical roles in azole resistance by affecting Afr1, which is chiefly responsible for azole excretion in the ABC (ATP-binding cassette) transporter.
- 20 September 2022
- Published by Oxford University Press (OUP) in Pathogens and Disease
- Vol. 80 (1)
Involvement of the Noncanonical Polyadenylation Polymerase Cid14 in Fungal Azole Resistance in the Pathogen Cryptococcus neoformans
The yeast noncanonical polyadenylation polymerase Cid14 was originally identified from fission yeast and plays a critical role in the TRAMP complex. This protein is a cytoplasmic cofactor and regulator of RNA-degrading exosomes. Cid14 is highly conserved from yeast to animals and has been demonstrated to play key roles in the regulation of RNA surveillance, nutrition metabolism, and growth in model organisms, but not yet in Cryptococcus neoformans (C. neoformans). Here, we report the identification of a gene encoding an equivalent Cid14 protein, named CID14, in the fungal pathogen C. neoformans. To obtain insights into the function of Cid14, we created a mutant strain, cid14Δ, with the CRISPR–Cas9 editing tool. Disruption of CID14 impaired cell membrane stability. Further investigations revealed the defects of the cid14Δ mutant in resistance to low carbohydrate levels. Meanwhile, significantly, the ability to grow under flucytosine stress was decreased in the cid14Δ mutant. More importantly, our results showed that the cid14Δ mutant does not affect yeast virulence but exhibits multidrug resistance to azole. Our work is the first to suggest that Cid14 plays critical roles in azole resistance by affecting Afr1, which is chiefly responsible for azole excretion in the ABC (ATP-binding cassette) transporter.
- Open Access
- 31 December 2021
- Published by MDPI AG in Journal of Fungi
- Vol. 8 (1) , 38
Transcription Factors Pmr1 and Pmr2 Cooperatively Regulate Melanin Biosynthesis, Conidia Development and Secondary Metabolism in Pestalotiopsis microspora
Melanins are the common fungal pigment, which contribute to stress resistance and pathogenesis. However, few studies have explored the regulation mechanism of its synthesis in filamentous fungi. In this study, we identified two transcription factors, Pmr1 and Pmr2, in the filamentous fungus Pestalotiopsis microspora. Computational and phylogenetic analyses revealed that Pmr1 and Pmr2 were located in the gene cluster for melanin biosynthesis. The targeted deletion mutant strain Δpmr1 displayed defects in biosynthesis of conidia pigment and morphological integrity. The deletion of pmr2 resulted in reduced conidia pigment, but the mycelial morphology had little change. Moreover, Δpmr2 produced decreased conidia. RT-qPCR data revealed that expression levels of genes in the melanin biosynthesis gene cluster were downregulated from the loss of Pmr1 and Pmr2. Interestingly, the yield of secondary metabolites in the mutant strains Δpmr1 and Δpmr2 increased, comparing with the wild type, and additionally, Pmr1 played a larger regulatory role in secondary metabolism. Taken together, our results revealed the crucial roles of the transcription factors Pmr1 and Pmr2 in melanin synthesis, asexual development and secondary metabolism in the filamentous fungus P. microspora.
- 31 December 2021
- Published by MDPI AG in Journal of Fungi
- Vol. 8 (1) , 38
Open AccessTranscription Factors Pmr1 and Pmr2 Cooperatively Regulate Melanin Biosynthesis, Conidia Development and Secondary Metabolism in Pestalotiopsis microspora
Melanins are the common fungal pigment, which contribute to stress resistance and pathogenesis. However, few studies have explored the regulation mechanism of its synthesis in filamentous fungi. In this study, we identified two transcription factors, Pmr1 and Pmr2, in the filamentous fungus Pestalotiopsis microspora. Computational and phylogenetic analyses revealed that Pmr1 and Pmr2 were located in the gene cluster for melanin biosynthesis. The targeted deletion mutant strain Δpmr1 displayed defects in biosynthesis of conidia pigment and morphological integrity. The deletion of pmr2 resulted in reduced conidia pigment, but the mycelial morphology had little change. Moreover, Δpmr2 produced decreased conidia. RT-qPCR data revealed that expression levels of genes in the melanin biosynthesis gene cluster were downregulated from the loss of Pmr1 and Pmr2. Interestingly, the yield of secondary metabolites in the mutant strains Δpmr1 and Δpmr2 increased, comparing with the wild type, and additionally, Pmr1 played a larger regulatory role in secondary metabolism. Taken together, our results revealed the crucial roles of the transcription factors Pmr1 and Pmr2 in melanin synthesis, asexual development and secondary metabolism in the filamentous fungus P. microspora.
- Open Access
- 22 August 2021
- Published by Wiley in Engineering in Life Sciences
- Vol. 21 (11) , 769-777
Machine learning‐based automated fungal cell counting under a complicated background with ilastik and ImageJ
Measuring the concentration and viability of fungal cells is an important and fundamental procedure in scientific research and industrial fermentation. In consideration of the drawbacks of manual cell counting, large quantities of fungal cells require methods that provide easy, objective and reproducible high‐throughput calculations, especially for samples in complicated backgrounds. To answer this challenge, we explored and developed an easy‐to‐use fungal cell counting pipeline that combined the machine learning‐based ilastik tool with the freeware ImageJ, as well as a conventional photomicroscope. Briefly, learning from labels provided by the user, ilastik performs segmentation and classification automatically in batch processing mode and thus discriminates fungal cells from complex backgrounds. The files processed through ilastik can be recognized by ImageJ, which can compute the numeric results with the macro ‘Fungal Cell Counter’. Taking the yeast Cryptococccus deneoformans and the filamentous fungus Pestalotiopsis microspora as examples, we observed that the customizable software algorithm reduced inter‐operator errors significantly and achieved accurate and objective results, while manual counting with a haemocytometer exhibited some errors between repeats and required more time. In summary, a convenient, rapid, reproducible and extremely low‐cost method to count yeast cells and fungal spores is described here, which can be applied to multiple kinds of eucaryotic microorganisms in genetics, cell biology and industrial fermentation.
- 22 August 2021
- Published by Wiley in Engineering in Life Sciences
- Vol. 21 (11) , 769-777
Open AccessMachine learning‐based automated fungal cell counting under a complicated background with ilastik and ImageJ
Measuring the concentration and viability of fungal cells is an important and fundamental procedure in scientific research and industrial fermentation. In consideration of the drawbacks of manual cell counting, large quantities of fungal cells require methods that provide easy, objective and reproducible high‐throughput calculations, especially for samples in complicated backgrounds. To answer this challenge, we explored and developed an easy‐to‐use fungal cell counting pipeline that combined the machine learning‐based ilastik tool with the freeware ImageJ, as well as a conventional photomicroscope. Briefly, learning from labels provided by the user, ilastik performs segmentation and classification automatically in batch processing mode and thus discriminates fungal cells from complex backgrounds. The files processed through ilastik can be recognized by ImageJ, which can compute the numeric results with the macro ‘Fungal Cell Counter’. Taking the yeast Cryptococccus deneoformans and the filamentous fungus Pestalotiopsis microspora as examples, we observed that the customizable software algorithm reduced inter‐operator errors significantly and achieved accurate and objective results, while manual counting with a haemocytometer exhibited some errors between repeats and required more time. In summary, a convenient, rapid, reproducible and extremely low‐cost method to count yeast cells and fungal spores is described here, which can be applied to multiple kinds of eucaryotic microorganisms in genetics, cell biology and industrial fermentation.
- Open Access
- 24 June 2021
- Published by MDPI AG in Journal of Fungi
- Vol. 7 (7) , 505
Simplified All-In-One CRISPR-Cas9 Construction for Efficient Genome Editing in Cryptococcus Species
Cryptococcus neoformans and Cryptococcus deneoformans are opportunistic fungal pathogens found worldwide that are utilized to reveal mechanisms of fungal pathogenesis. However, their low homologous recombination frequency has greatly encumbered genetic studies. In preliminary work, we described a ‘suicide’ CRISPR-Cas9 system for use in the efficient gene editing of C. deneoformans, but this has not yet been used in the C. neoformans strain. The procedures involved in constructing vectors are time-consuming, whether they involve restriction enzyme-based cloning of donor DNA or the introduction of a target sequence into the gRNA expression cassette via overlap PCR, as are sophisticated, thus impeding their widespread application. Here, we report the optimized and simplified construction method for all-in-one CRISPR-Cas9 vectors that can be used in C. neoformans and C. deneoformans strains respectively, named pNK003 (Genbank: MW938321) and pRH003 (Genbank: KX977486). Taking several gene manipulations as examples, we also demonstrate the accuracy and efficiency of the new simplified all-in-one CRISPR-Cas9 genome editing tools in both Serotype A and Serotype D strains, as well as their ability to eliminate Cas9 and gDNA cassettes after gene editing. We anticipate that the availability of new vectors that can simplify and streamline the technical steps for all-in-one CRISPR-Cas9 construction could accelerate genetic studies of the Cryptococcus species.
- 24 June 2021
- Published by MDPI AG in Journal of Fungi
- Vol. 7 (7) , 505
Open AccessSimplified All-In-One CRISPR-Cas9 Construction for Efficient Genome Editing in Cryptococcus Species
Cryptococcus neoformans and Cryptococcus deneoformans are opportunistic fungal pathogens found worldwide that are utilized to reveal mechanisms of fungal pathogenesis. However, their low homologous recombination frequency has greatly encumbered genetic studies. In preliminary work, we described a ‘suicide’ CRISPR-Cas9 system for use in the efficient gene editing of C. deneoformans, but this has not yet been used in the C. neoformans strain. The procedures involved in constructing vectors are time-consuming, whether they involve restriction enzyme-based cloning of donor DNA or the introduction of a target sequence into the gRNA expression cassette via overlap PCR, as are sophisticated, thus impeding their widespread application. Here, we report the optimized and simplified construction method for all-in-one CRISPR-Cas9 vectors that can be used in C. neoformans and C. deneoformans strains respectively, named pNK003 (Genbank: MW938321) and pRH003 (Genbank: KX977486). Taking several gene manipulations as examples, we also demonstrate the accuracy and efficiency of the new simplified all-in-one CRISPR-Cas9 genome editing tools in both Serotype A and Serotype D strains, as well as their ability to eliminate Cas9 and gDNA cassettes after gene editing. We anticipate that the availability of new vectors that can simplify and streamline the technical steps for all-in-one CRISPR-Cas9 construction could accelerate genetic studies of the Cryptococcus species.