zuxin Zhang

Prof. Dr. zuxin Zhang


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

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28 September 2012 in The Plant Journal
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Journal Article
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FTFeng Teng
Feng Teng
LZLihong Zhai
Lihong Zhai
RLRuixiang Liu
Ruixiang Liu
WBWei Bai
Wei Bai
LWLiqiu Wang
Liqiu Wang
ZZzuxin Zhang
zuxin Zhang
Summary: Maize plant height is closely associated with biomass, lodging resistance and grain yield. Determining the genetic basis of plant height by characterizing and cloning plant height genes will guide the genetic improvement of crops. In this study, a quantitative trait locus (QTL) for plant height, qPH3.1, was identified on chromosome 3 using populations derived from a cross between Zong3 and its chromosome segment substitution line, SL15. The plant height of the two lines was obviously different, and application of exogenous gibberellin A3 removed this difference. QTL mapping placed qPH3.1 within a 4.0 cM interval, explaining 32.3% of the phenotypic variance. Furthermore, eight homozygous segmental isolines (SILs) developed from two larger F2 populations further narrowed down qPH3.1 to within a 12.6 kb interval. ZmGA3ox2, an ortholog of OsGA3ox2, which encodes a GA3 β‐hydroxylase, was positionally cloned. Association mapping identified two polymorphisms in ZmGA3ox2 that were significantly associated with plant height across two experiments. Quantitative RT‐PCR showed that SL15 had higher ZmGA3ox2 expression relative to Zong3. The resultant higher GA1 accumulation led to longer internodes in SL15 because of increased cell lengths. Moreover, a large deletion in the coding region of ZmGA3ox2 is responsible for the dwarf mutant d1‐6016. The successfully isolated qPH3.1 enriches our knowledge on the genetic basis of plant height in maize, and provides an opportunity for improvement of plant architecture in maize breeding.

17 November 2015 in PLOS Genetics
Verified
Journal Article
Open access
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LLLei Liu
Lei Liu
YDYanfang Du
Yanfang Du
XSXiaomeng Shen
Xiaomeng Shen
MLManfei Li
Manfei Li
WSWei Sun
Wei Sun
ZZzuxin Zhang
zuxin Zhang
Kernel row number (KRN) is an important component of yield during the domestication and improvement of maize and controlled by quantitative trait loci (QTL). Here, we fine-mapped a major KRN QTL, KRN4, which can enhance grain productivity by increasing KRN per ear. We found that a ~3-Kb intergenic region about 60 Kb downstream from the SBP-box gene Unbranched3 (UB3) was responsible for quantitative variation in KRN by regulating the level of UB3 expression. Within the 3-Kb region, the 1.2-Kb Presence-Absence variant was found to be strongly associated with quantitative variation in KRN in diverse maize inbred lines, and our results suggest that this 1.2-Kb transposon-containing insertion is likely responsible for increased KRN. A previously identified A/G SNP (S35, also known as Ser220Asn) in UB3 was also found to be significantly associated with KRN in our association-mapping panel. Although no visible genetic effect of S35 alone could be detected in our linkage mapping population, it was found to genetically interact with the 1.2-Kb PAV to modulate KRN. The KRN4 was under strong selection during maize domestication and the favorable allele for the 1.2-Kb PAV and S35 has been significantly enriched in modern maize improvement process. The favorable haplotype (Hap1) of 1.2-Kb-PAV-S35 was selected during temperate maize improvement, but is still rare in tropical and subtropical maize germplasm. The dissection of the KRN4 locus improves our understanding of the genetic basis of quantitative variation in complex traits in maize. Maize (Zea mays L.) is one of the world's most important sources of calories for humans. With an expanding global population, the demands for maize-derived food, feed, and fuel are rapidly increasing. To meet these needs, geneticists and breeders are facing the challenge of enhancing grain yield through genetic improvement of maize germplasm. Understanding the genetic basis of grain yield is necessary to guide breeding efforts towards the development of high-yielding hybrids. Kernel row number (KRN) in maize is one of the most important yield components and a significant breeding target. Over the last few decades, many genes that determine inflorescence development and architecture have been identified and characterized. The formation of kernel rows is an integral part of the development of the female inflorescence in maize. Nevertheless, the genetic basis and molecular regulation of quantitative variation in KRN is poorly understood. This study provides experimental evidence for the hypothesis that variation in intergenic regions can regulate quantitative variation of important grain yield-related traits, and also provides tools for improving KRN in maize.

5 February 2018 in The Plant Cell
Verified
Journal Article
Closed access
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DZDan Zhang
Dan Zhang
WSWei Sun
Wei Sun
RSRenee Singh
Renee Singh
YZYuanyuan Zheng
Yuanyuan Zheng
ZCZheng Cao
Zheng Cao
ZZzuxin Zhang
zuxin Zhang
Plant architecture results from a balance of indeterminate and determinate cell fates. Cells with indeterminate fates are located in meristems, comprising groups of pluripotent cells that produce lateral organs. Meristematic cells are also found in intercalary stem tissue, which provides cells for internodes, and at leaf margins to contribute to leaf width. We identified a maize (Zea mays) mutant that has a defect in balancing determinacy and indeterminacy. The mutant has narrow leaves and short internodes, suggesting a reduction in indeterminate cells in the leaf and stem. In contrast, the mutants fail to control indeterminacy in shoot meristems. Inflorescence meristems are fasciated, and determinate axillary meristems become indeterminate. Positional cloning identified growth regulating factor-interacting factor1 (gif1) as the responsible gene. gif1 mRNA accumulates in distinct domains of shoot meristems, consistent with tissues affected by the mutation. We determined which GROWTH REGULATING FACTORs interact with GIF1 and performed RNA-seq analysis. Many genes known to play roles in inflorescence architecture were differentially expressed in gif1. Chromatin immunoprecipitation identified some differentially expressed genes as direct targets of GIF1. The interactions with these diverse direct and indirect targets help explain the paradoxical phenotypes of maize GIF1. These results provide insights into the biological functions of gif1.

20 February 2020 in Nature Communications
Verified
Journal Article
Open access
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HJHaitao Jia
Haitao Jia
Manfei LiManfei Li
Manfei Li
WLWeiya Li
Weiya Li
LLLei Liu
Lei Liu
YJYinan Jian
Yinan Jian
ZZzuxin Zhang
zuxin Zhang
Increasing grain yield of maize (Zea maysL.) is required to meet the rapidly expanding demands for maize-derived food, feed, and fuel. Breeders have enhanced grain productivity of maize hybrids by pyramiding desirable characteristics for larger ears. However, loci selected for improving grain productivity remain largely unclear. Here, we show that a serine/threonine protein kinase encoding geneKERNEL NUMBER PER ROW6 (KNR6)determines pistillate floret number and ear length. Overexpression ofKNR6or introgression of alleles lacking the insertions of two transposable elements in the regulatory region ofKNR6can significantly enhance grain yield. Further in vitro evidences indicate that KNR6 can interact with an Arf GTPase-activating protein (AGAP) and its phosphorylation by KNR6 may affect ear length and kernel number. This finding provides knowledge basis to enhance maize hybrids grain yield.

19 July 2015 in Theoretical and Applied Genetics
Verified
Journal Article
Open access
PDF file
LLLei Liu
Lei Liu
YDYanfang Du
Yanfang Du
DHDongao Huo
Dongao Huo
MWMan Wang
Man Wang
XSXiaomeng Shen
Xiaomeng Shen
ZZzuxin Zhang
zuxin Zhang
Key message Maize kernel row number might be dominated by a set of large additive or partially dominant loci and several small dominant loci and can be accurately predicted by fewer than 300 top KRN-associated SNPs. Abstract Kernel row number (KRN) is an important yield component in maize and directly affects grain yield. In this study, we combined linkage and association mapping to uncover the genetic architecture of maize KRN and to evaluate the phenotypic predictability using these detected loci. A genome-wide association study revealed 31 associated single nucleotide polymorphisms (SNPs) representing 17 genomic loci with an effect in at least one of five individual environments and the best linear unbiased prediction (BLUP) over all environments. Linkage mapping in three F2:3 populations identified 33 KRN quantitative trait loci (QTLs) representing 21 QTLs common to several population/environments. The majority of these common QTLs that displayed a large effect were additive or partially dominant. We found 70 % KRN-associated genomic loci were mapped in KRN QTLs identified in this study, KRN-associated SNP hotspots detected in NAM population and/or previous identified KRN QTL hotspots. Furthermore, the KRN of inbred lines and hybrids could be predicted by the additive effect of the SNPs, which was estimated using inbred lines as a training set. The prediction accuracy using the top KRN-associated tag SNPs was obviously higher than that of the randomly selected SNPs, and approximately 300 top KRN-associated tag SNPs were sufficient for predicting the KRN of the inbred lines and hybrids. The results suggest that the KRN-associated loci and QTLs that were detected in this study show great potential for improving the KRN with genomic selection in maize breeding.

5 October 2021 in Nature Communications
Verified
Journal Article
Open access
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QNQiang Ning
Qiang Ning
YJYinan Jian
Yinan Jian
YDYanfang Du
Yanfang Du
YLYunfu Li
Yunfu Li
XSXiaomeng Shen
Xiaomeng Shen
ZZzuxin Zhang
zuxin Zhang
Maize ear size and kernel number differ among lines, however, little is known about the molecular basis of ear length and its impact on kernel number. Here, we characterize a quantitative trait locus, qEL7, to identify a maize gene controlling ear length, flower number and fertility. qEL7 encodes 1-aminocyclopropane-1- carboxylate oxidase2 (ACO2), a gene that functions in the final step of ethylene biosynthesis and is expressed in specific domains in developing inflorescences. Confirmation of qEL7 by gene editing of ZmACO2 leads to a reduction in ethylene production in developing ears, and promotes meristem and flower development, resulting in a ~13.4% increase in grain yield per ear in hybrids lines. Our findings suggest that ethylene serves as a key signal in inflorescence development, affecting spikelet number, floral fertility, ear length and kernel number, and also provide a tool to improve grain productivity by optimizing ethylene levels in maize or in other cereals.