Fei Chen

Dr. Fei Chen

College of Tropical crops, Hainan University, Haikou 570228, China

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 January 2016 in Scientific Reports
Verified
Journal Article
Open access
GZGuo-Qiang Zhang
Guo-Qiang Zhang
QXQing Xu
Qing Xu
CBChao Bian
Chao Bian
WTWen-Chieh Tsai
Wen-Chieh Tsai
CYChuan-Ming Yeh
Chuan-Ming Yeh
ZLZhongjian Liu
Zhongjian Liu
Orchids make up about 10% of all seed plant species, have great economical value and are of specific scientific interest because of their renowned flowers and ecological adaptations. Here, we report the first draft genome sequence of a lithophytic orchid, Dendrobium catenatum. We predict 28,910 protein-coding genes and find evidence of a whole genome duplication shared with Phalaenopsis. We observed the expansion of many resistance-related genes, suggesting a powerful immune system responsible for adaptation to a wide range of ecological niches. We also discovered extensive duplication of genes involved in glucomannan synthase activities, likely related to the synthesis of medicinal polysaccharides. Expansion of MADS-box gene clades ANR1, StMADS11, and MIKC*, involved in the regulation of development and growth, suggests that these expansions are associated with the astonishing diversity of plant architecture in the genus Dendrobium. On the contrary, members of the type I MADS box gene family are missing, which might explain the loss of the endospermous seed. The findings reported here will be important for future studies into polysaccharide synthesis, adaptations to diverse environments and flower architecture of Orchidaceae.

13 April 2014 in BMC Genomics
Verified
Journal Article
Open access
PDF file
JLJinyi Liu
Jinyi Liu
NCNana Chen
Nana Chen
Fei ChenFei Chen
Fei Chen
BCBin Cai
Bin Cai
SSSilvia Dal Santo
Silvia Dal Santo
ZCZong-Ming (MAX) Cheng
Zong-Ming (MAX) Cheng
Background: Basic leucine zipper (bZIP) transcription factor gene family is one of the largest and most diverse families in plants. Current studies have shown that the bZIP proteins regulate numerous growth and developmental processes and biotic and abiotic stress responses. Nonetheless, knowledge concerning the specific expression patterns and evolutionary history of plant bZIP family members remains very limited. Results: We identified 55 bZIP transcription factor-encoding genes in the grapevine (Vitis vinifera) genome, and divided them into 10 groups according to the phylogenetic relationship with those in Arabidopsis. The chromosome distribution and the collinearity analyses suggest that expansion of the grapevine bZIP (VvbZIP) transcription factor family was greatly contributed by the segment/chromosomal duplications, which may be associated with the grapevine genome fusion events. Nine intron/exon structural patterns within the bZIP domain and the additional conserved motifs were identified among all VvbZIP proteins, and showed a high group-specificity. The predicted specificities on DNA-binding domains indicated that some highly conserved amino acid residues exist across each major group in the tree of land plant life. The expression patterns of VvbZIP genes across the grapevine gene expression atlas, based on microarray technology, suggest that VvbZIP genes are involved in grapevine organ development, especially seed development. Expression analysis based on qRT-PCR indicated that VvbZIP genes are extensively involved in drought- and heat-responses, with possibly different mechanisms. Conclusions: The genome-wide identification, chromosome organization, gene structures, evolutionary and expression analyses of grapevine bZIP genes provide an overall insight of this gene family and their potential involvement in growth, development and stress responses. This will facilitate further research on the bZIP gene family regarding their evolutionary history and biological functions.

8 October 2019 in Horticulture Research
Verified
Journal Article
Open access
PDF file
Fei ChenFei Chen
Fei Chen
YSYunfeng Song
Yunfeng Song
XLXiaojiang Li
Xiaojiang Li
Junhao ChenJunhao Chen
Junhao Chen
LMLan Mo
Lan Mo
LZLiangsheng Zhang
Liangsheng Zhang
Horticultural plants play various and critical roles for humans by providing fruits, vegetables, materials for beverages, and herbal medicines and by acting as ornamentals. They have also shaped human art, culture, and environments and thereby have influenced the lifestyles of humans. With the advent of sequencing technologies, there has been a dramatic increase in the number of sequenced genomes of horticultural plant species in the past decade. The genomes of horticultural plants are highly diverse and complex, often with a high degree of heterozygosity and a high ploidy due to their long and complex history of evolution and domestication. Here we summarize the advances in the genome sequencing of horticultural plants, the reconstruction of pan-genomes, and the development of horticultural genome databases. We also discuss past, present, and future studies related to genome sequencing, data storage, data quality, data sharing, and data visualization to provide practical guidance for genomic studies of horticultural plants. Finally, we propose a horticultural plant genome project as well as the roadmap and technical details toward three goals of the project.

1 October 2020 in Plant, Cell & Environment
Verified
Journal Article
Closed access
PDF file
LZLiangsheng Zhang
Liangsheng Zhang
Shengdan WuShengdan Wu
Shengdan Wu
XCXiaojun Chang
Xiaojun Chang
XWXiuyun Wang
Xiuyun Wang
YZYunpeng Zhao
Yunpeng Zhao
Fei ChenFei Chen
Fei Chen

21 November 2024 in BioDesign Research
Verified
Journal Article
Open access
YLYunqing Luo
Yunqing Luo
CZChengjun Zhao
Chengjun Zhao
Fei ChenFei Chen
Fei Chen
Multiomics research is a transformative approach in the biological sciences that integrates data from genomics, transcriptomics, proteomics, metabolomics, and other omics technologies to provide a comprehensive understanding of biological systems. This review elucidates the fundamental principles of multiomics, emphasizing the necessity of data integration to uncover the complex interactions and regulatory mechanisms underlying various biological processes. We explore the latest advances in computational methodologies, including deep learning, graph neural networks (GNNs), and generative adversarial networks (GANs), which facilitate the effective synthesis and interpretation of multiomics data. Additionally, this review addresses the critical challenges in this field, such as data heterogeneity, scalability, and the need for robust, interpretable models. We highlight the potential of large language models to enhance multiomics analysis through automated feature extraction, natural language generation, and knowledge integration. Despite the important promise of multiomics, the review acknowledges the substantial computational resources required and the complexity of model tuning, underscoring the need for ongoing innovation and collaboration in the field. This comprehensive analysis aims to guide researchers in navigating the principles and challenges of multiomics research to foster advances in integrative biological analysis.

20 February 2023 in Horticulture Research
Verified
Journal Article
Open access
PDF file
YZYuhan Zhou
Yuhan Zhou
JXJinsong Xiong
Jinsong Xiong
ZSZiqiang Shu
Ziqiang Shu
CDChao Dong
Chao Dong
TGTingting Gu
Tingting Gu
ZCZong-Ming (MAX) Cheng
Zong-Ming (MAX) Cheng
Fragaria vesca, commonly known as wild or woodland strawberry, is the most widely distributed diploid Fragaria species and is native to Europe and Asia. Because of its small plant size, low heterozygosity, and relative ease of genetic transformation, F. vesca has been a model plant for fruit research since the publication of its Illumina-based genome in 2011. However, its genomic contribution to octoploid cultivated strawberry remains a long-standing question. Here, we de novo assembled and annotated a telomere-to-telomere, gap-free genome of F. vesca ‘Hawaii 4’, with all seven chromosomes assembled into single contigs, providing the highest completeness and assembly quality to date. The gap-free genome is 220 785 082 bp in length and encodes 36 173 protein-coding gene models, including 1153 newly annotated genes. All 14 telomeres and seven centromeres were annotated within the seven chromosomes. Among the three previously recognized wild diploid strawberry ancestors, F. vesca, F. iinumae, and F. viridis, phylogenomic analysis showed that F. vesca and F. viridis are the ancestors of the cultivated octoploid strawberry F. × ananassa, and F. vesca is its closest relative. Three subgenomes of F. × ananassa belong to the F. vesca group, and one is sister to F. viridis. We anticipate that this high-quality, telomere-to-telomere, gap-free F. vesca genome, combined with our phylogenomic inference of the origin of cultivated strawberry, will provide insight into the genomic evolution of Fragaria and facilitate strawberry genetics and molecular breeding.