Ping Hu

Dr. Ping Hu

Henan Institute of Science and Technology

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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1 June 2018 in Molecular Plant
Verified
Journal Article
Closed access
LXLiping Xing
Liping Xing
PHPing Hu
Ping Hu
JLJiaqian Liu
Jiaqian Liu
KWKamil Witek
Kamil Witek
SZShuang Zhou
Shuang Zhou
ACAizhong Cao
Aizhong Cao

20 July 2018 in Molecular Plant Pathology
Verified
Journal Article
Closed access
PDF file
PHPing Hu
Ping Hu
JLJiaqian Liu
Jiaqian Liu
JXJiefei Xu
Jiefei Xu
CZChuanyu Zhou
Chuanyu Zhou
SCShuqi Cao
Shuqi Cao
ACAizhong Cao
Aizhong Cao

1 December 2015 in Journal of Genetics and Genomics
Verified
Journal Article
Closed access
YLYuan Lu
Yuan Lu
LXLiping Xing
Liping Xing
SXShujuan Xing
Shujuan Xing
PHPing Hu
Ping Hu
CCChaofan Cui
Chaofan Cui
ACAizhong Cao
Aizhong Cao

10 February 2022 in BMC Genomics
Verified
Journal Article
Open access
PDF file
ZHZhenpu Huang
Zhenpu Huang
FQFangyuan Qiao
Fangyuan Qiao
BYBoming Yang
Boming Yang
JLJiaqian Liu
Jiaqian Liu
YLYangqi Liu
Yangqi Liu
ACAizhong Cao
Aizhong Cao
Background: Nucleotide-binding and leucine-rich repeat (NLR) genes have attracted wide attention due to their crucial role in protecting plants from pathogens. SMRT-RenSeq, combining PacBio sequencing after resistance gene enrichment sequencing (RenSeq), is a powerful method for selectively capturing and sequencing full-length NLRs. Haynaldia villosa, a wild grass species with a proven potential for wheat improvement, confers resistance to multiple diseases. So, genome-wide identification of the NLR gene family in Haynaldia villosa by SMRT-RenSeq can facilitate disease resistance genes exploration. Results: In this study, SMRT-RenSeq was performed to identify the genome-wide NLR complement of H. villosa. In total, 1320 NLRs were annotated in 1169 contigs, including 772 complete NLRs. All the complete NLRs were phylogenetically analyzed and 11 main clades with special characteristics were derived. NLRs could be captured with high efficiency when aligned with cloned R genes, and cluster expansion in some specific gene loci was observed. The physical location of NLRs to individual chromosomes in H. villosa showed a perfect homoeologous relationship with group 1, 2, 3, 5 and 6 of other Triticeae species, however, NLRs physically located on 4VL were largely in silico predicted to be located on the homoeologous group 7. Fifteen types of integrated domains (IDs) were integrated in 52 NLRs, and Kelch and B3 NLR-IDs were found to have expanded in H. villosa, while DUF948, NAM-associated and PRT_C were detected as unique integrated domains implying the new emergence of NLR-IDs after H. villosa diverged from other species. Conclusion: SMRT-RenSeq is a powerful tool to identify NLR genes from wild species using the baits of the evolutionary related species with reference sequences. The availability of the NLRs from H. villosa provide a valuable library for R gene mining and transfer of disease resistance into wheat.

11 August 2021 in PeerJ
Verified
Journal Article
Open access
PDF file
JXJun Xu
Jun Xu
PHPing Hu
Ping Hu
YTYe Tao
Ye Tao
PSPuwen Song
Puwen Song
HGHuanting Gao
Huanting Gao
YGYuanyuan Guan
Yuanyuan Guan
Background: Wheat (Triticum aestivum) originated from three different diploid ancestral grass species and experienced two rounds of polyploidization. Exploring how certain wheat gene subfamilies have expanded during the evolutionary process is of great importance. The Lateral Organ Boundaries Domain (LBD) gene family encodes plant-specific transcription factors that share a highly conserved LOB domain and are prime candidates for this, as they are involved in plant growth, development, secondary metabolism and stress in various species. Methods: Using a genome-wide analysis of high-quality polyploid wheat and related species genome sequences, a total of 228 LBD members from five Triticeae species were identified, and phylogenetic relationship analysis of LBD members classified them into two main classes (classes I and II) and seven subgroups (classes I a–e, II a and II b). Results: The gene structure and motif composition analyses revealed that genes that had a closer phylogenetic relationship in the same subgroup also had a similar gene structure. Macrocollinearity and microcollinearity analyses of Triticeae species suggested that some LBD genes from wheat produced gene pairs across subgenomes of chromosomes 4A and 5A and that the complex evolutionary history of TaLBD4B-9 homologs was a combined result of chromosome translocation, polyploidization, gene loss and duplication events. Public RNA-seq data were used to analyze the expression patterns of wheat LBD genes in various tissues, different developmental stages and following abiotic and biotic stresses. Furthermore, qRT-PCR results suggested that some TaLBDs in class II responded to powdery mildew, regulated reproductive growth and were involved in embryo sac development in common wheat.

26 June 2023 in International Journal of Biological Macromolecules
Verified
Journal Article
Closed access
PHPing Hu
Ping Hu
YRYueming Ren
Yueming Ren
JXJun Xu
Jun Xu
WLWanglong Luo
Wanglong Luo
MWMengfei Wang
Mengfei Wang
CLChengwei Li
Chengwei Li