Jia Wang

Southwest University

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i-10 index

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Co-Authors

Liezhao Liu

Southwest University

Jiana Li

Southwest University

Tangren Cheng

Beijing Forestry University

Qixiang Zhang

University of Science and Technology of China

Kun Lu

Southwest University

Lijuan Wei

Second Affiliated Hospital of Jilin University

Huitang Pan

Beijing Forestry University

Tengyue Wang

Anhui Agricultural University

Cunmin Qu

Southwest University

Michael P. Timko

University of Virginia

Cooperative Institutions

Beijing Forestry University

Southwest University

Chinese Academy of Sciences

Northwest A&F University

Chinese Academy of Agricultural Sciences

Ministry of Education of the People's Republic of China

Shanxi Agricultural University

Ministry of Agriculture and Rural Affairs

Nanjing Agricultural University

Chinese Academy of Medical Sciences & Peking Union Medical College

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Additional file 6 of Integrating GWAS, linkage mapping and gene expression analyses reveals the genetic control of growth period traits in rapeseed (Brassica napus L.)

Figshare (2020)

Tengyue Wang Lijuan Wei Jia Wang Ling Xie Yang Yang Li

Additional file 6: Table S4. Genes identified in LD block or 300 kb up- and down-stream of significant SNPs identified in GWAS.

Linkage (software)

Genome-wide Association Study

Genetic linkage

10.6084/m9.figshare.12756938

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Citations (0)

Analysis of Non-Foodborne Contaminants and Residues

Richard J. Fussell Jia Wang Riki Kitano Laura Chambers Incorporated

Food contaminant

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Identification of the PmWEEP locus controlling weeping traits in Prunus mume through an integrated genome-wide association study and quantitative trait locus mapping

Horticulture Research (2021)

Xiaokang Zhuo Tangchun Zheng Suzhen Li Zhiyong Zhang Man Zhang

Weeping Prunus mume (mei) has long been cultivated in East Asia for its specific ornamental value. However, little is known about the regulatory mechanism of the weeping trait in mei, which limits molecular breeding for the improvement of weeping-type cultivars. Here, we quantified the weeping trait in mei using nested phenotyping of 214 accessions and 342 F1 hybrids. Two major associated loci were identified from the genome-wide association study (GWAS), which was conducted using 3,014,409 single nucleotide polymorphisms (SNPs) derived from resequencing, and 8 QTLs and 55 epistatic loci were identified from QTL mapping using 7,545 specific lengths amplified fragment (SLAF) markers. Notably, an overlapping PmWEEP major QTL was fine mapped within a 0.29 Mb region on chromosome 7 (Pa7), and a core SNP locus closely associated with the weeping trait was screened and validated. Furthermore, a total of 22 genes in the PmWEEP QTL region were expressed in weeping or upright mei based on RNA-seq analysis. Among them, only a novel gene (Pm024213) containing a thioredoxin (Trx) domain was found to be close to the core SNP and specifically expressed in buds and branches of weeping mei. Co-expression analysis of Pm024213 showed that most of the related genes were involved in auxin and lignin biosynthesis. These findings provide insights into the regulatory mechanism of the weeping trait and effective molecular markers for molecular-assisted breeding in Prunus mume.

Genome-wide Association Study

Trait

Association mapping

Genetic Association

Identification

10.1038/s41438-021-00573-4

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Citations (14)

Genetic control of juvenile growth and botanical architecture in an ornamental woody plant, Prunus mumeSieb. et Zucc. as revealed by a high-density linkage map

BMC Genomic Data (2014)

Lidan Sun Yaqun Wang Xiao-lan Yan Tangren Cheng Kaifeng Ma

Mei, Prunus mume Sieb. et Zucc., is an ornamental plant popular in East Asia and, as an important member of genus Prunus, has played a pivotal role in systematic studies of the Rosaceae. However, the genetic architecture of botanical traits in this species remains elusive. This paper represents the first genome-wide mapping study of quantitative trait loci (QTLs) that affect stem growth and form, leaf morphology and leaf anatomy in an intraspecific cross derived from two different mei cultivars. Genetic mapping based on a high-density linkage map constricted from 120 SSRs and 1,484 SNPs led to the detection of multiple QTLs for each trait, some of which exert pleiotropic effects on correlative traits. Each QTL explains 3-12% of the phenotypic variance. Several leaf size traits were found to share common QTLs, whereas growth-related traits and plant form traits might be controlled by a different set of QTLs. Our findings provide unique insights into the genetic control of tree growth and architecture in mei and help to develop an efficient breeding program for selecting superior mei cultivars.

Genetic architecture

Trait

Genetic linkage

Phenotypic trait

Association mapping

10.1186/1471-2156-15-s1-s1

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Citations (32)

Plasma pharmacokinetics of melamine and a blend of melamine and cyanuric acid in rainbow trout (Oncorhynchus mykiss)

Regulatory Toxicology and Pharmacology (2011)

Min Xue Yuchang Qin Jia Wang Jing Qiu Xiufeng Wu

Cyanuric acid

10.1016/j.yrtph.2011.06.005

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Citations (13)

Genome-Wide Analysis of the Gibberellin-Oxidases Family Members in Four Prunus Species and a Functional Analysis of PmGA2ox8 in Plant Height

International Journal of Molecular Sciences (2024)

Xue Li Jie Zhang Xiaoyu Guo Like Qiu Ke Chen

Gibberellins (GAs), enzymes that play a significant role in plant growth and development, and their levels in plants could be regulated by gibberellin-oxidases (GAoxs). As important fruit trees and ornamental plants, the study of the mechanism of plant architecture formation of the

Flowering plant

10.3390/ijms25168697

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Citations (1)

Studies on Spatial Distribution Pattern of Broad Bean Blight Infected Plants and Its Sampling Techniques

Yunnan Nongye Daxue xuebao (2003)

Jia Wang

The analysis principle of population spatial trends was applied in this study. According to the field survey data. the frequency fitness was tested statistically with Poission Neyman and binomial distribution models and the clumped intensity was decide by aggregated index. The spatial distribution of the blight infected plants was determined as the clumped one, which was caused by the environmental factors or the comprehensive effects between environment and the pathogen. Through comparing sampling methods of the field survey and calculating theoretical sampling number. the parelled sampling method was thought the suitable one for broad bean blight. The sampling spots should not be less than 30 and the sampling numbers should not be less than 300 plants.

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Isolation and functional characterization of a R2R3-MYB regulator of Prunus mume anthocyanin biosynthetic pathway

Plant Cell Tissue and Organ Culture (PCTOC) (2017)

Qin Zhang Ruijie Hao Zongda Xu Weiru Yang Jia Wang

MYB

Structural gene

Petal

10.1007/s11240-017-1294-4

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Citations (41)

Additional file 2 of Genetic mapping high protein content QTL from soybean ‘Nanxiadou 25’ and candidate gene analysis

Figshare (2021)

Jia Wang Lin Mao Zhaoqiong Zeng Xiaobo Yu Jianqiu Lian

Additional file 2: Table S2. Distribution of SNPs mapped on soybean chromosomes/linkage groups, Table S3. The information of high-density SNP map, Table S4. Summary of Illumina sequencing data, Table S6. QTL mapping of soybean SPC by bulked segregant analysis (BSA), Table S7. The information of SNP in coding sequences of gene, Table S8. The RNA-seq data of genes within the QTL region of qSPC_20-1 and qSPC_20-2, Table S9. Seed protein content of natural population and RILs population, Table S10. P values of t-test for the SPC-related InDel in different environments, Table S11. Primer information of candidate genes for RT-qPCR

Candidate gene

10.6084/m9.figshare.15982470

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Citations (0)

Genome-Wide Analysis of the AP2/ERF Gene Family in Prunus mume

Plant Molecular Biology Reporter (2012)

Dongliang Du Ruijie Hao Tangren Cheng Huitang Pan Weiru Yang

Synteny

10.1007/s11105-012-0531-6

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Citations (64)