zhiying Ma

zhiying Ma


Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

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

Representative Publications

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7 May 2018 in Nature Genetics
Verified
Journal Article
Closed access
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ZMzhiying Ma
zhiying Ma
SHShoupu He
Shoupu He
XWXingfen Wang
Xingfen Wang
JSJunling Sun
Junling Sun
YZYan Zhang
Yan Zhang
XDXiong-mimg Du
Xiong-mimg Du

7 March 2017 in Plant Biotechnology Journal
Verified
Journal Article
Open access
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ZSZhengwen Sun
Zhengwen Sun
XWXingfen Wang
Xingfen Wang
ZLZhengwen Liu
Zhengwen Liu
QGQishen Gu
Qishen Gu
YZYan Zhang
Yan Zhang
ZMzhiying Ma
zhiying Ma
Summary: Genetic improvement of fibre quality is one of the main breeding goals for the upland cotton, Gossypium hirsutum, but there are difficulties with precise selection of traits. Therefore, it is important to improve the understanding of the genetic basis of phenotypic variation. In this study, we conducted phenotyping and genetic variation analyses of 719 diverse accessions of upland cotton based on multiple environment tests and a recently developed Cotton 63K Illumina Infinium SNP array and performed a genome‐wide association study (GWAS) of fibre quality traits. A total of 10 511 polymorphic SNPs distributed in 26 chromosomes were screened across the cotton germplasms, and forty‐six significant SNPs associated with five fibre quality traits were detected. These significant SNPs were scattered over 15 chromosomes and were involved in 612 unique candidate genes, many related to polysaccharide biosynthesis, signal transduction and protein translocation. Two major haplotypes for fibre length and strength were identified on chromosomes Dt11 and At07. Furthermore, by combining GWAS and transcriptome analysis, we identified 163 and 120 fibre developmental genes related to length and strength, respectively, of which a number of novel genes and 19 promising genes were screened. These results provide new insight into the genetic basis of fibre quality in G. hirsutum and provide candidate SNPs and genes to accelerate the improvement of upland cotton.

29 September 2018 in Molecular Plant Pathology
Verified
Journal Article
Open access
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YZYan Zhang
Yan Zhang
LWLizhu Wu
Lizhu Wu
XWXingfen Wang
Xingfen Wang
BCBin Chen
Bin Chen
JZJing Zhao
Jing Zhao
ZMzhiying Ma
zhiying Ma
Summary: Verticillium dahliae is a phytopathogenic fungal pathogen that causes vascular wilt diseases responsible for considerable decreases in cotton yields. The lignification of cell wall appositions is a conserved basal defence mechanism in the plant innate immune response. However, the function of laccase in defence‐induced lignification has not been described. Screening of an SSH library of a resistant cotton cultivar, Jimian20, inoculated with V. dahliae revealed a laccase gene that was strongly induced by the pathogen . This gene was phylogenetically related to AtLAC15 and contained domains conserved by laccases; therefore, we named it GhLAC15 . Quantitative reverse transcription‐polymerase chain reaction indicated that GhLAC15 maintained higher expression levels in tolerant than in susceptible cultivars. Overexpression of GhLAC15 enhanced cell wall lignification, resulting in increased total lignin, G monolignol and G/S ratio, which significantly improved the Verticillium wilt resistance of transgenic Arabidopsis. In addition, the levels of arabinose and xylose were higher in transgenic plants than in wild‐type plants, which resulted in transgenic Arabidopsis plants being less easily hydrolysed. Furthermore, suppression of the transcriptional level of GhLAC15 resulted in an increase in susceptibility in cotton. The content of monolignol and the G/S ratio were lower in silenced cotton plants, which led to resistant cotton cv. Jimian20 becoming susceptible. These results demonstrate that GhLAC15 enhances Verticillium wilt resistance via an increase in defence‐induced lignification and arabinose and xylose accumulation in the cell wall of Gossypium hirsutum. This study broadens our knowledge of defence‐induced lignification and cell wall modifications as defence mechanisms against V. dahliae .

9 August 2021 in Nature Genetics
Verified
Journal Article
Open access
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ZMzhiying Ma
zhiying Ma
YZYan Zhang
Yan Zhang
LWLiqiang Wu
Liqiang Wu
GZGuiyin Zhang
Guiyin Zhang
ZSZhengwen Sun
Zhengwen Sun
XWXingfen Wang
Xingfen Wang
Cotton produces natural fiber for the textile industry. The genetic effects of genomic structural variations underlying agronomic traits remain unclear. Here, we generate two high-quality genomes of Gossypium hirsutum cv. NDM8 and Gossypium barbadense acc. Pima90, and identify large-scale structural variations in the two species and 1,081 G. hirsutum accessions. The density of structural variations is higher in the D-subgenome than in the A-subgenome, indicating that the D-subgenome undergoes stronger selection during species formation and variety development. Many structural variations in genes and/or regulatory regions potentially influencing agronomic traits were discovered. Of 446 significantly associated structural variations, those for fiber quality and Verticillium wilt resistance are located mainly in the D-subgenome and those for yield mainly in the A-subgenome. Our research provides insight into the role of structural variations in genotype-to-phenotype relationships and their potential utility in crop improvement.

22 September 2013 in BMC Genomics
Verified
Journal Article
Open access
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YZYan Zhang
Yan Zhang
XWXingfen Wang
Xingfen Wang
ZDZe Guo Ding
Ze Guo Ding
QMQing Ma
Qing Ma
GZGui Rong Zhang
Gui Rong Zhang
ZMzhiying Ma
zhiying Ma
Background: Verticillium wilt, caused by the fungal pathogenVerticillium dahliae, is the most severe disease in cotton (Gossypiumspp.), causing great lint losses worldwide. Disease management could be achieved in the field if genetically improved, resistant plants were used. However, the interaction betweenV. dahliaeand cotton is a complicated process, and its molecular mechanism remains obscure. To understand better the defense response to this pathogen as a means for obtaining more tolerant cultivars, we monitored the transcriptome profiles of roots from resistant plants ofG.barbadensecv. Pima90-53 that were challenged withV. dahliae.Results: In all, 46,192 high-quality expressed sequence tags (ESTs) were generated from a full-length cDNA library ofG. barbadense. They were clustered and assembled into 23126 unigenes that comprised 2661 contigs and 20465 singletons. Those unigenes were assigned Gene Ontology terms and mapped to 289 KEGG pathways. A total of 3027 unigenes were found to be homologous to known defense-related genes in other plants. They were assigned to the functional classification of plant–pathogen interactions, including disease defenses and signal transduction. The branch of "SA→NPR1→TGA→PR-1→Disease resistance" was first discovered in the interaction of cotton–V. dahliae, indicating that this wilt process includes both biotrophic and necrotrophic stages. In all, 4936 genes coding for putative transcription factors (TF) were identified in our library. The most abundant TF family was the NAC group (527), followed by G2-like (440), MYB (372), BHLH (331), bZIP (271) ERF, C3H, and WRKY. We also analyzed the expression of genes involved in pathogen-associated molecular pattern (PAMP) recognition, the activation of effector-triggered immunity, TFs, and hormone biosynthesis, as well as genes that are pathogenesis-related, or have roles in signaling/regulatory functions and cell wall modification. Their differential expression patterns were compared among mock-/inoculated- and resistant/susceptible cotton. Our results suggest that the cotton defense response has significant transcriptional complexity and that large accumulations of defense-related transcripts may contribute toV. dahliaeresistance in cotton. Therefore, these data provide a resource for cotton improvement through molecular breeding approaches.Conclusions: This study generated a substantial amount of cotton transcript sequences that are related to defense responses againstV. dahliae. These genomics resources and knowledge of important related genes contribute to our understanding of host–pathogen interactions and the defense mechanisms utilized byG. barbadense, a non-model plant system. These tools can be applied in establishing a modern breeding program that uses marker-assisted selections and oligonucleotide arrays to identify candidate genes that can be linked to valuable agronomic traits in cotton, including disease resistance.

26 August 2015 in The Plant Journal
Verified
Journal Article
Closed access
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HMHuijuan Mo
Huijuan Mo
XWXingfen Wang
Xingfen Wang
YZYan Zhang
Yan Zhang
GZGuiyin Zhang
Guiyin Zhang
JZJinfa Zhang
Jinfa Zhang
ZMzhiying Ma
zhiying Ma