Jianhui Ma

Dr. Jianhui Ma

College of Life Science, Henan Normal University, Xinxiang 453007, China
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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24 November 2017 in Frontiers in Plant Science
Verified
Journal Article
Open access
Jianhui MaJianhui Ma
Jianhui Ma
XGXiaolong Gao
Xiaolong Gao
QLQing Liu
Qing Liu
YSYun Shao
Yun Shao
DZDaijing Zhang
Daijing Zhang
CLChunxi Li
Chunxi Li
As a superfamily of transcription factors, the tryptophan-arginine-lysine-tyrosine (WRKY) transcription factors have been found to be essential for abiotic and biotic stress responses in plants. Currently, only 76 WRKY transcription factors in wheat could be identified in the NCBI database, among which only a few have been functionally analyzed. Herein, a total of 188 WRKY transcription factors were identified from the wheat genome database, which included 123 full-length coding sequences, and all of them were used for detailed evolution studies. By bioinformatics analysis, a WRKY transcription factor, named TaWRKY146, was found to be the homologous gene of AtWRKY46, overexpression of which leads to hypersensitivity to drought and salt stress in Arabidopsis. Consequently, the full length of TaWRKY146 was cloned, and the expression levels of TaWRKY146 were found significantly up-regulated in the leaves and roots of wheat seedlings, which were subjected to osmotic stress. Overexpression of TaWRKY146 in Arabidopsis was shown to enhance drought tolerance by the induction of stomatal closure that reduced the transpiration rate. All these results provide a firm foundation for further identification of WRKY transcription factors with important functions in wheat.

1 August 2015 in Journal of Proteomics
Verified
Journal Article
Closed access
JLJi Liu
Ji Liu
CPChaoyou Pang
Chaoyou Pang
HWHengling Wei
Hengling Wei
MSMeizhen Song
Meizhen Song
YMYanyan Meng
Yanyan Meng
Shuxun YuShuxun Yu
Shuxun Yu

1 January 2016 in Gene
Verified
Journal Article
Closed access
FZFengli Zhao
Fengli Zhao
Jianhui MaJianhui Ma
Jianhui Ma
LLLibei Li
Libei Li
SFShuli Fan
Shuli Fan
YGYaning Guo
Yaning Guo
Shuxun YuShuxun Yu
Shuxun Yu

1 January 2019 in Environmental and Experimental Botany
Verified
Journal Article
Closed access
DZDaijing Zhang
Daijing Zhang
XLXueqing Liu
Xueqing Liu
Jianhui MaJianhui Ma
Jianhui Ma
HYHuili Yang
Huili Yang
WZWenli Zhang
Wenli Zhang
CLChunxi Li
Chunxi Li

Verified
Journal Article
Open access
PDF file
Jianhui MaJianhui Ma
Jianhui Ma
DZDongyang Zhao
Dongyang Zhao
XTXiaoxiao Tang
Xiaoxiao Tang
MYMeng Yuan
Meng Yuan
DZDaijing Zhang
Daijing Zhang
LJLina Jiang
Lina Jiang
The root tissues play important roles in water and nutrient acquisition, environmental adaptation, and plant development. In this study, a diversity panel of 388 wheat accessions was collected to investigate nine root system architecture (RSA) traits at the three-leaf stage under two growing environments: outdoor pot culture (OPC) and indoor pot culture (IPC). Phenotypic analysis revealed that root development was faster under OPC than that under IPC and a significant correlation was observed between the nine RSA traits. The 660K single-nucleotide polymorphism (SNP) chip was used for a genome-wide association study (GWAS). Significant SNPs with a threshold of −log10 (p-value) ≥ 4 were considered. Thus, 36 quantitative trait loci (QTLs), including 13 QTL clusters that were associated with more than one trait, were detected, and 31 QTLs were first identified. The QTL clusters on chromosomes 3D and 5B were associated with four and five RSA traits, respectively. Two candidate genes, TraesCS2A01G516200 and TraesCS7B01G036900, were found to be associated with more than one RSA trait using haplotype analysis, and preferentially expressed in the root tissues. These favourable alleles for RSA traits identified in this study may be useful to optimise the root system in wheat.

14 November 2012 in PLOS ONE
Verified
Journal Article
Open access
PDF file
Jianhui MaJianhui Ma
Jianhui Ma
HWHengling Wei
Hengling Wei
MSMeizhen Song
Meizhen Song
CPChaoyou Pang
Chaoyou Pang
JLJi Liu
Ji Liu
Shuxun YuShuxun Yu
Shuxun Yu
Previous transcriptome profiling studies have investigated the molecular mechanisms of pollen and anther development, and identified many genes involved in these processes. However, only 51 anther ESTs of Upland cotton (Gossypium hirsutum) were found in NCBI and there have been no reports of transcriptome profiling analyzing anther development in Upland cotton, a major fiber crop in the word. Ninety-eight hundred and ninety-six high quality ESTs were sequenced from their 3′-ends and assembled into 6,643 unigenes from a normalized, full-length anther cDNA library of Upland cotton. Combined with previous sequenced anther-related ESTs, 12,244 unigenes were generated as the reference genes for digital gene expression (DGE) analysis. The DGE was conducted on anthers that were isolated at tetrad pollen (TTP), uninucleate pollen (UNP), binucleate pollen (BNP) and mature pollen (MTP) periods along with four other tissues, i.e., roots (RO), stems (ST), leaves (LV) and embryos (EB). Through transcriptome profiling analysis, we identified 1,165 genes that were enriched at certain anther development periods, and many of them were involved in starch and sucrose metabolism, pentose and glucuronate interconversion, flavonoid biosynthesis, and ascorbate and aldarate metabolism. We first generated a normalized, full-length cDNA library from anthers and performed transcriptome profiling analysis of anther development in Upland cotton. From these results, 10,178 anther expressed genes were identified, among which 1,165 genes were stage-enriched in anthers. And many of these stage-enriched genes were involved in some important processes regulating anther development.