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Dive into the research topics where Anping Guo is active.

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Featured researches published by Anping Guo.


Scientific Reports | 2016

Proteomics Profiling Reveals Carbohydrate Metabolic Enzymes and 14-3-3 Proteins Play Important Roles for Starch Accumulation during Cassava Root Tuberization.

Xuchu Wang; Lili Chang; Zheng Tong; Dongyang Wang; Qi Yin; Dan Wang; Xiang Jin; Qian Yang; Liming Wang; Yong Sun; Qixing Huang; Anping Guo; Ming Peng

Cassava is one of the most important root crops as a reliable source of food and carbohydrates. Carbohydrate metabolism and starch accumulation in cassava storage root is a cascade process that includes large amounts of proteins and cofactors. Here, comparative proteomics were conducted in cassava root at nine developmental stages. A total of 154 identified proteins were found to be differentially expressed during starch accumulation and root tuberization. Many enzymes involved in starch and sucrose metabolism were significantly up-regulated, and functional classification of the differentially expressed proteins demonstrated that the majority were binding-related enzymes. Many proteins were took part in carbohydrate metabolism to produce energy. Among them, three 14-3-3 isoforms were induced to be clearly phosphorylated during storage root enlargement. Overexpression of a cassava 14-3-3 gene in Arabidopsis thaliana confirmed that the older leaves of these transgenic plants contained higher sugar and starch contents than the wild-type leaves. The 14-3-3 proteins and their binding enzymes may play important roles in carbohydrate metabolism and starch accumulation during cassava root tuberization. These results not only deepened our understanding of the tuberous root proteome, but also uncovered new insights into carbohydrate metabolism and starch accumulation during cassava root enlargement.


Frontiers in Plant Science | 2016

Comparative Physiological and Transcriptomic Analyses Reveal the Actions of Melatonin in the Delay of Postharvest Physiological Deterioration of Cassava

Wei Hu; Hua Kong; Yunling Guo; Yuliang Zhang; Zehong Ding; Weiwei Tie; Yan Yan; Qixing Huang; Ming Peng; Haitao Shi; Anping Guo

Melatonin plays important roles in various aspects of biological processes. However, it is less known on the effects and mechanism of melatonin on the postharvest physiological deterioration (PPD) process of cassava, which largely restricts the potential of cassava as a food and industrial crop. In this study, we found that exogenous application of melatonin significantly delayed PPD of cassava tuberous roots by reducing H2O2 content and improving activities of catalase and peroxidase. Moreover, 3425 differentially expressed genes by melatonin during the PPD process were identified by transcriptomic analysis. Several pathways were markedly affected by melatonin treatments, including metabolic-, ion homeostasis-, and enzyme activity-related processes. Further detailed analysis revealed that melatonin acted through activation of ROS-scavenging and ROS signal transduction pathways, including antioxidant enzymes, calcium signaling, MAPK cascades, and transcription factors at early stages. Notably, the starch degradation pathway was also activated at early stages, whereas it was repressed by melatonin at middle and late stages, thereby indicating its regulatory role in starch metabolism during PPD. Taken together, this study yields new insights into the effect and underlying mechanism of melatonin on the delay of PPD and provides a good strategy for extending shelf life and improvement of cassava tuberous roots.


Scientific Reports | 2015

Analysis of key genes of jasmonic acid mediated signal pathway for defense against insect damages by comparative transcriptome sequencing.

Fengshan Yang; Yuliang Zhang; Qixing Huang; Guohua Yin; Kayla K. Pennerman; Jiujiang Yu; Zhixin Liu; Dafei Li; Anping Guo

Corn defense systems against insect herbivory involve activation of genes that lead to metabolic reconfigurations to produce toxic compounds, proteinase inhibitors, oxidative enzymes, and behavior-modifying volatiles. Similar responses occur when the plant is exposed to methyl jasmonate (MeJA). To compare the defense responses between stalk borer feeding and exogenous MeJA on a transcriptional level, we employed deep transcriptome sequencing methods following Ostrinia furnacalis leaf feeding and MeJA leaf treatment. 39,636 genes were found to be differentially expressed with O. furnacalis feeding, MeJA application, and O. furnacalis feeding and MeJA application. Following Gene Ontology enrichment analysis of the up- or down- regulated genes, many were implicated in metabolic processes, stimuli-responsive catalytic activity, and transfer activity. Fifteen genes that indicated significant changes in the O. furnacalis feeding group: LOX1, ASN1, eIF3, DXS, AOS, TIM, LOX5, BBTI2, BBTI11, BBTI12, BBTI13, Cl-1B, TPS10, DOX, and A20/AN1 were found to almost all be involved in jasmonate defense signaling pathways. All of the data demonstrate that the jasmonate defense signal pathway is a major defense signaling pathways of Asian corn borer’s defense against insect herbivory. The transcriptome data are publically available at NCBI SRA: SRS965087.


Phytopathology | 2016

Geographical and Genetic Divergence Among Papaya ringspot virus Populations Within Hainan Province, China

Hui Zhao; Rui Zong Jia; Yuliang Zhang; Yun Judy Zhu; Huicai Zeng; Hua Kong; Heather McCafferty; Anping Guo; Ming Peng

Papaya ringspot virus (PRSV) severely affects the global papaya industry. Transgenic papaya has been proven to have effective resistance to PRSV isolates from Hawaii, Thailand, Taiwan, and other countries. However, those transgenic cultivars failed to show resistance to Hainan Island isolates. Some 76 PRSV samples, representative of all traditional papaya planting areas across five cities (Wen Chang, n = 13; Cheng Mai, n = 14; Chang Jiang, n = 11; Le Dong, n = 25; and San Ya, n = 13) within Hainan Province, were investigated. Results revealed three genetic diversity groups (Hainan I, II, and III) that correlated with geographical distribution. Frequent mutations among PRSV isolates from Hainan were also observed. The high genetic divergence in PRSV isolates from Hainan is likely to be the cause of the failure of genetically modified papaya that targets sequence-specific virus.


Genome Announcements | 2016

Draft Genome Sequence of the Fungus Penicillium solitum NJ1

Guohua Yin; Yuliang Zhang; Kayla K. Pennerman; Sui Sheng T. Hua; Jiujiang Yu; Anping Guo; Zhixin Liu; Joan W. Bennett

ABSTRACT Penicillium solitum is one of the most prevalent species causing postharvest decay of pomaceous fruits during storage. Here, we report the draft genome of P. solitum strain NJ1, received as a transfer of a strain originally identified as P. griseofulvum by classical means.


Frontiers in Plant Science | 2016

Genome-Wide Identification, Phylogeny, and Expression Analyses of the 14-3-3 Family Reveal Their Involvement in the Development, Ripening, and Abiotic Stress Response in Banana

Meiying Li; Licheng Ren; Biyu Xu; Xiaoliang Yang; Qiyu Xia; Pingping He; Susheng Xiao; Anping Guo; Wei Hu; Zhiqiang Jin

Plant 14-3-3 proteins act as critical components of various cellular signaling processes and play an important role in regulating multiple physiological processes. However, less information is known about the 14-3-3 gene family in banana. In this study, 25 14-3-3 genes were identified from the banana genome. Based on the evolutionary analysis, banana 14-3-3 proteins were clustered into ε and non-ε groups. Conserved motif analysis showed that all identified banana 14-3-3 genes had the typical 14-3-3 motif. The gene structure of banana 14-3-3 genes showed distinct class-specific divergence between the ε group and the non-ε group. Most banana 14-3-3 genes showed strong transcript accumulation changes during fruit development and postharvest ripening in two banana varieties, indicating that they might be involved in regulating fruit development and ripening. Moreover, some 14-3-3 genes also showed great changes after osmotic, cold, and salt treatments in two banana varieties, suggested their potential role in regulating banana response to abiotic stress. Taken together, this systemic analysis reveals the involvement of banana 14-3-3 genes in fruit development, postharvest ripening, and response to abiotic stress and provides useful information for understanding the functions of 14-3-3 genes in banana.


Scientific Reports | 2017

Use of RNAi technology to develop a PRSV-resistant transgenic papaya

Ruizong Jia; Hui Zhao; Jing Huang; Hua Kong; Yuliang Zhang; Jingyuan Guo; Qixing Huang; Yunling Guo; Qing Wei; Jiao Zuo; Yun J. Zhu; Ming Peng; Anping Guo

Papaya ringspot virus (PRSV) seriously limits papaya (Carica papaya L.) production in tropical and subtropical areas throughout the world. Coat protein (CP)- transgenic papaya lines resistant to PRSV isolates in the sequence-homology-dependent manner have been developed in the U.S.A. and Taiwan. A previous investigation revealed that genetic divergence among Hainan isolates of PRSV has allowed the virus to overcome the CP-mediated transgenic resistance. In this study, we designed a comprehensive RNAi strategy targeting the conserved domain of the PRSV CP gene to develop a broader-spectrum transgenic resistance to the Hainan PRSV isolates. We used an optimized particle-bombardment transformation system to produce RNAi-CP-transgenic papaya lines. Southern blot analysis and Droplet Digital PCR revealed that line 474 contained a single transgene insert. Challenging this line with different viruses (PRSV I, II and III subgroup) under greenhouse conditions validated the transgenic resistance of line 474 to the Hainan isolates. Northern blot analysis detected the siRNAs products in virus-free transgenic papaya tissue culture seedlings. The siRNAs also accumulated in PRSV infected transgenic papaya lines. Our results indicated that this transgenic papaya line has a useful application against PRSV in the major growing area of Hainan, China.


Genome Announcements | 2016

Genome Sequencing and Analysis of the Filamentous Fungus Penicillium sclerotiorum 113, Isolated after Hurricane Sandy

Guohua Yin; Yuliang Zhang; Kayla K. Pennerman; Sui Sheng T. Hua; Qixing Huang; Anping Guo; Zhixin Liu; Joan W. Bennett

ABSTRACT Penicillium sclerotiorum is a distinctive species within the genus Penicillium that usually produces vivid orange to red colonies, sometimes with colorful sclerotia. Here, we report the first draft genome sequence of P. sclerotiorum strain 113, isolated in 2013 in the aftermath of Hurricane Sandy from a flooded home in New Jersey.


Data in Brief | 2016

Datasets for transcriptomic analyses of maize leaves in response to Asian corn borer feeding and/or jasmonic acid

Yuliang Zhang; Qixing Huang; Kayla K. Pennerman; Jiujiang Yu; Zhixin Liu; Anping Guo; Guohua Yin

Corn is one of the most widely grown crops throughout the world. However, many corn fields develop pest problems such as corn borers every year that seriously affect its yield and quality. Corn′s response to initial insect damage involves a variety of changes to the levels of defensive enzymes, toxins, and communicative volatiles. Such a dramatic change secondary metabolism necessitates the regulation of gene expression at the transcript level. In this paper, we summarized the datasets of the transcriptome of corn plants in response to corn stalk borers (Ostrinia furnacalis) and/or methyl jasmonate (MeJA). Altogether, 39, 636 genes were found to be differentially expressed. The sequencing data are available in the NCBI SRA database under accession number SRS965087. Our dataset will provide more scientific and valuable information for future work such as the study of the functions of important genes or proteins and develop new insect-resistant maize varieties.


Scientific Reports | 2017

Publisher Correction: Use of RNAi technology to develop a PRSV-resistant transgenic papaya

Ruizong Jia; Hui Zhao; Jing Huang; Hua Kong; Yuliang Zhang; Jingyuan Guo; Qixing Huang; Yunling Guo; Qing Wei; Jiao Zuo; Yun J. Zhu; Ming Peng; Anping Guo

 A correction to this article has been published and is linked from the HTML version of this paper. The error has been fixed in the paper.

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Qixing Huang

Chinese Academy of Tropical Agricultural Sciences

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Yuliang Zhang

Chinese Academy of Tropical Agricultural Sciences

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Hua Kong

Chinese Academy of Tropical Agricultural Sciences

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Yunling Guo

Chinese Academy of Tropical Agricultural Sciences

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Ming Peng

Chinese Academy of Tropical Agricultural Sciences

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Zhixin Liu

Chinese Academy of Tropical Agricultural Sciences

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Jiujiang Yu

United States Department of Agriculture

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Jiao Zuo

Chinese Academy of Tropical Agricultural Sciences

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