zhenqian zhang

Prof. Dr. zhenqian zhang

College of Agronomy, Hunan Agricultural University, Changsha 410128, China
orcid

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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10 December 2015 in DNA Research
Verified
Journal Article
Open access
PDF file
LXLiping Xu
Liping Xu
KHKaining Hu
Kaining Hu
ZZzhenqian zhang
zhenqian zhang
CGChunyun Guan
Chunyun Guan
SCSong Chen
Song Chen
TFTingdong Fu
Tingdong Fu
Flowering time adaptation is a major breeding goal in the allopolyploid species Brassica napus. To investigate the genetic architecture of flowering time, a genome-wide association study (GWAS) of flowering time was conducted with a diversity panel comprising 523 B. napus cultivars and inbred lines grown in eight different environments. Genotyping was performed with a Brassica 60K Illumina Infinium SNP array. A total of 41 single-nucleotide polymorphisms (SNPs) distributed on 14 chromosomes were found to be associated with flowering time, and 12 SNPs located in the confidence intervals of quantitative trait loci (QTL) identified in previous researches based on linkage analyses. Twenty-five candidate genes were orthologous to Arabidopsis thaliana flowering genes. To further our understanding of the genetic factors influencing flowering time in different environments, GWAS was performed on two derived traits, environment sensitivity and temperature sensitivity. The most significant SNPs were found near Bn-scaff_16362_1-p380982, just 13 kb away from BnaC09g41990D, which is orthologous to A. thaliana CONSTANS (CO), an important gene in the photoperiod flowering pathway. These results provide new insights into the genetic control of flowering time in B. napus and indicate that GWAS is an effective method by which to reveal natural variations of complex traits in B. napus.

20 September 2016 in Scientific Reports
Verified
Journal Article
Open access
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CSChengming Sun
Chengming Sun
BWBenqi Wang
Benqi Wang
XWXiaohua Wang
Xiaohua Wang
KHKaining Hu
Kaining Hu
KLKaidi Li
Kaidi Li
BYBin Yi
Bin Yi
The rapeseed branch angle is an important morphological trait because an adequate branch angle enables more efficient light capture under high planting densities. Here, we report that the average angle of the five top branches provides a reliable representation of the average angle of all branches. Statistical analyses revealed a significantly positive correlation between the branch angle and multiple plant-type and yield-related traits. The 60 KBrassicaInfinium®single nucleotide polymorphism (SNP) array was utilized to genotype an association panel with 520 diverse accessions. A genome-wide association study was performed to determine the genetic architecture of branch angle and 56 loci were identified as being significantly associated with the branch angle trait via three models, including a robust, novel, nonparametric Anderson-Darling (A-D) test. Moreover, these loci explained 51.1% of the phenotypic variation when a simple additive model was applied. Within the linkage disequilibrium (LD) decay ranges of 53 loci, we observed plausible candidates orthologous to documentedArabidopsisgenes, such asLAZY1,SGR2,SGR4,SGR8,SGR9,PIN3,PIN7,CRK5,TIR1andAPD7. These results provide insight into the genetic basis of the branch angle trait in rapeseed and might facilitate marker-based breeding for improvements in plant architecture.

27 July 2016 in Frontiers in Plant Science
Verified
Journal Article
Open access
PDF file
CSChengming Sun
Chengming Sun
BWBenqi Wang
Benqi Wang
LYLei Yan
Lei Yan
KHKaining Hu
Kaining Hu
SLSheng Liu
Sheng Liu
BYBin Yi
Bin Yi
Plant height is a key morphological trait of rapeseed. In this study, we measured plant height of a rapeseed population across six environments. This population contains 476 inbred lines representing the major Chinese rapeseed genepool and 44 lines from other countries. The 60K Brassica Infinium® SNP array was utilized to genotype the association panel. A genome-wide association study (GWAS) was performed via three methods, including a robust, novel, nonparametric Anderson–Darling (A–D) test. Consequently, 68 loci were identified as significantly associated with plant height (P < 5.22 × 10−5), and more than 70% of the loci (48) overlapped the confidence intervals of reported QTLs from nine mapping populations. Moreover, 24 GWAS loci were detected with selective sweep signals, which reflected the signatures of historical semi-dwarf breeding. In the linkage disequilibrium (LD) decay range up—and downstream of 65 loci (r2 > 0.1), we found plausible candidates orthologous to the documented Arabidopsis genes involved in height regulation. One significant association found by GWAS colocalized with the established height locus BnRGA in rapeseed. Our results provide insights into the genetic basis of plant height in rapeseed and may facilitate marker-based breeding.

10 September 2017 in Ecology and Evolution
Verified
Journal Article
Open access
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HZHao Zhang
Hao Zhang
FZFuping Zeng
Fuping Zeng
ZZZhigang Zou
Zhigang Zou
ZZzhenqian zhang
zhenqian zhang
YLYou-Zhi Li
You-Zhi Li
Nitrogen (N) deficiency occurs in over 80% of karst soil of southwest China, which restricts regional agricultural production. To test whether N fixed by legumes becomes available to nonfixing companion species, N fluxes between soybean and maize under no, partial, and total restriction of root contact were measured on a karst site in southwest China. N content and its transfer between soybean and maize intercrops were explored in a 2‐year plot experiment, with N movement between crops monitored using 15N isotopes. Mesh barrier (30 μm) and no restrictions barrier root separation increased N uptake of maize by 1.28%–3.45% and 3.2%–3.45%, respectively. N uptake by soybean with no restrictions root separation was 1.23 and 1.56 times higher than that by mesh and solid barriers, respectively. In the unrestricted root condition, N transfer from soybean to maize in no restrictions barrier was 2.34–3.02 mg higher than that of mesh barrier. Therefore, it was implied that soybean/maize intercropping could improve N uptake and transfer efficiently in the karst region of southwest China.

23 April 2020 in BMC Genomics
Verified
Journal Article
Open access
PDF file
MYMin Yao
Min Yao
官G官梅 Guan
官梅 Guan
ZZzhenqian zhang
zhenqian zhang
QZQiuping Zhang
Qiuping Zhang
YCYixin Cui
Yixin Cui
LQLunwen Qian
Lunwen Qian
Strong artificial and natural selection causes the formation of highly conserved haplotypes that harbor agronomically important genes. GWAS combination with haplotype analysis has evolved as an effective method to dissect the genetic architecture of complex traits in crop species. We used the 60 K Brassica Infinium SNP array to perform a genome-wide analysis of haplotype blocks associated with oleic acid (C18:1) in rapeseed. Six haplotype regions were identified as significantly associated with oleic acid (C18:1) that mapped to chromosomes A02, A07, A08, C01, C02, and C03. Additionally, whole-genome sequencing of 50 rapeseed accessions revealed three genes (BnmtACP2-A02, BnABCI13-A02 and BnECI1-A02) in the A02 chromosome haplotype region and two genes (BnFAD8-C02 and BnSDP1-C02) in the C02 chromosome haplotype region that were closely linked to oleic acid content phenotypic variation. Moreover, the co-expression network analysis uncovered candidate genes from these two different haplotype regions with potential regulatory interrelationships with oleic acid content accumulation. Our results suggest that several candidate genes are closely linked, which provides us with an opportunity to develop functional haplotype markers for the improvement of the oleic acid content in rapeseed.

21 September 2021 in Food Chemistry: X
Verified
Journal Article
Open access
YZYicheng Zhong
Yicheng Zhong
ZZzhenqian zhang
zhenqian zhang
JCJing Chen
Jing Chen
JNJuan Niu
Juan Niu
YSYaliang Shi
Yaliang Shi
MingBao LuanMingBao Luan
MingBao Luan
• Feasibility of using A. trifoliata seed oil (ASO) as an edible oil was studied. • A partial least squares regression model for the ASO content was established. • The PLS model was well suited for the determination of ASO and UFA content. • Based on the study, High ASO content germplasm could be used in A. trifoliata breeding.