Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Wenhui Wei is active.

Publication


Featured researches published by Wenhui Wei.


BMC Genomics | 2013

Transcriptome profile analysis of young floral buds of fertile and sterile plants from the self-pollinated offspring of the hybrid between novel restorer line NR1 and Nsa CMS line in Brassica napus

Xiaohong Yan; Caihua Dong; Jingyin Yu; Wanghui Liu; Chenghong Jiang; Jia Liu; Qiong Hu; Xiaoping Fang; Wenhui Wei

BackgroundThe fertile and sterile plants were derived from the self-pollinated offspring of the F1 hybrid between the novel restorer line NR1 and the Nsa CMS line in Brassica napus. To elucidate gene expression and regulation caused by the A and C subgenomes of B. napus, as well as the alien chromosome and cytoplasm from Sinapis arvensis during the development of young floral buds, we performed a genome-wide high-throughput transcriptomic sequencing for young floral buds of sterile and fertile plants.ResultsIn this study, equal amounts of total RNAs taken from young floral buds of sterile and fertile plants were sequenced using the Illumina/Solexa platform. After filtered out low quality data, a total of 2,760,574 and 2,714,441 clean tags were remained in the two libraries, from which 242,163 (Ste) and 253,507 (Fer) distinct tags were obtained. All distinct sequencing tags were annotated using all possible CATG+17-nt sequences of the genome and transcriptome of Brassica rapa and those of Brassica oleracea as the reference sequences, respectively. In total, 3231 genes of B. rapa and 3371 genes of B. oleracea were detected with significant differential expression levels. GO and pathway-based analyses were performed to determine and further to understand the biological functions of those differentially expressed genes (DEGs). In addition, there were 1089 specially expressed unknown tags in Fer, which were neither mapped to B. oleracea nor to B. rapa, and these unique tags were presumed to arise basically from the added alien chromosome of S. arvensis. Fifteen genes were randomly selected and their expression levels were confirmed by quantitative RT-PCR, and fourteen of them showed consistent expression patterns with the digital gene expression (DGE) data.ConclusionsA number of genes were differentially expressed between the young floral buds of sterile and fertile plants. Some of these genes may be candidates for future research on CMS in Nsa line, fertility restoration and improved agronomic traits in NR1 line. Further study of the unknown tags which were specifically expressed in Fer will help to explore desirable agronomic traits from wild species.


Theoretical and Applied Genetics | 2010

Development of a novel Sinapis arvensis disomic addition line in Brassica napus containing the restorer gene for Nsa CMS and improved resistance to Sclerotinia sclerotiorum and pod shattering

Wenhui Wei; Yunchang Li; Li-Jun Wang; Shengyi Liu; Xiaohong Yan; Desheng Mei; Yinde Li; Yusong Xu; Pengfei Peng; Qiong Hu

An allo-cytoplasmic male sterile line, which was developed through somatic hybridization between Brassica napus and Sinapis arvensis (thus designated as Nsa CMS line), possesses high potential for hybrid production of rapeseed. In order to select for restorer lines, fertile plants derived from the same somatic hybridization combination were self-pollinated and testcrossed with the parental Nsa CMS line for six generations. A novel disomic alien addition line, B. napus–S. arvensis, has been successfully developed. GISH analysis showed that it contains one pair of chromosomes from S. arvensis and 19 pairs from B. napus, and retains stable and regular mitotic and meiotic processes. The addition line displays very strong restoration ability to Nsa CMS line, high resistance to Sclerotinia sclerotiorum and a low incidence of pod shattering. Because the addition line shares these very important agricultural characters, it is a valuable restorer to Nsa CMS line, and is named NR1 here (Nsa restorer no. 1).


PLOS ONE | 2016

Rapid Identification of Candidate Genes for Seed Weight Using the SLAF-Seq Method in Brassica napus.

Xinxin Geng; Chenghong Jiang; Jie Yang; Lijun Wang; Xiaoming Wu; Wenhui Wei

Seed weight is a critical and direct trait for oilseed crop seed yield. Understanding its genetic mechanism is of great importance for yield improvement in Brassica napus breeding. Two hundred and fifty doubled haploid lines derived by microspore culture were developed from a cross between a large-seed line G-42 and a small-seed line 7–9. According to the 1000-seed weight (TSW) data, the individual DNA of the heaviest 46 lines and the lightest 47 lines were respectively selected to establish two bulked DNA pools. A new high-throughput sequencing technology, Specific Locus Amplified Fragment Sequencing (SLAF-seq), was used to identify candidate genes of TSW in association analysis combined with bulked segregant analysis (BSA). A total of 1,933 high quality polymorphic SLAF markers were developed and 4 associated markers of TSW were procured. A hot region of ~0.58 Mb at nucleotides 25,401,885–25,985,931 on ChrA09 containing 91 candidate genes was identified as tightly associated with the TSW trait. From annotation information, four genes (GSBRNA2T00037136001, GSBRNA2T00037157001, GSBRNA2T00037129001 and GSBRNA2T00069389001) might be interesting candidate genes that are highly related to seed weight.


PLOS ONE | 2014

Genetic Diversity and Population Structure of the Major Peanut (Arachis hypogaea L.) Cultivars Grown in China by SSR Markers

Xiaoping Ren; Huifang Jiang; Zhongyuan Yan; Yuning Chen; Xiaojing Zhou; Li Huang; Yong Lei; Jiaquan Huang; Liying Yan; Yue Qi; Wenhui Wei; Boshou Liao

One hundred and forty-six highly polymorphic simple sequence repeat (SSR) markers were used to assess the genetic diversity and population structure of 196 peanut (Arachis Hypogaea L.) cultivars which had been extensively planted in different regions in China. These SSR markers amplified 440 polymorphic bands with an average of 2.99, and the average gene diversity index was 0.11. Eighty-six rare alleles with a frequency of less than 1% were identified in these cultivars. The largest Fst or genetic distance was found between the cultivars that adapted to the south regions and those to the north regions in China. A neighbor-joining tree of cultivars adapted to different ecological regions was constructed based on pairwise Nei’s genetic distances, which showed a significant difference between cultivars from the south and the north regions. A model-based population structure analysis divided these peanut cultivars into five subpopulations (P1a, P1b, P2, P3a and P3b). P1a and P1b included most the cultivars from the southern provinces including Guangdong, Guangxi and Fujian. P2 population consisted of the cultivars from Hubei province and parts from Shandong and Henan. P3a and P3b had cultivars from the northern provinces including Shandong, Anhui, Henan, Hebei, Jiangsu and the Yangtze River region including Sichuan province. The cluster analysis, PCoA and PCA based on the marker genotypes, revealed five distinct clusters for the entire population that were related to their germplasm regions. The results indicated that there were obvious genetic variations between cultivars from the south and the north, and there were distinct genetic differentiation among individual cultivars from the south and the north. Taken together, these results provided a molecular basis for understanding genetic diversity of Chinese peanut cultivars.


Molecular Biology Reports | 2012

Gene expression profiling of Sinapis alba leaves under drought stress and rewatering growth conditions with Illumina deep sequencing

Caihua Dong; Chen Li; Xiaohong Yan; Shun-Mou Huang; Jin-Yong Huang; Li-Jun Wang; Rui-Xing Guo; Guangyuan Lu; Xue-Kun Zhang; Xiaoping Fang; Wenhui Wei

Sinapis alba has many desirable agronomic traits including tolerance to drought. In this investigation, we performed the genome-wide transcriptional profiling of S. alba leaves under drought stress and rewatering growth conditions in an attempt to identify candidate genes involved in drought tolerance, using the Illumina deep sequencing technology. The comparative analysis revealed numerous changes in gene expression level attributable to the drought stress, which resulted in the down-regulation of 309 genes and the up-regulation of 248 genes. Gene ontology analysis revealed that the differentially expressed genes were mainly involved in cell division and catalytic and metabolic processes. Our results provide useful information for further analyses of the drought stress tolerance in Sinapis, and will facilitate molecular breeding for Brassica crop plants.


PLOS ONE | 2012

Functional Identification and Characterization of the Brassica Napus Transcription Factor Gene BnAP2, the Ortholog of Arabidopsis Thaliana APETALA2

Xiaohong Yan; Lei Zhang; Bo Chen; Zhiyong Xiong; Chunli Chen; Lijun Wang; Jingyin Yu; Changming Lu; Wenhui Wei

BnAP2, an APETALA2 (AP2)-like gene, has been isolated from Brassica napus cultivar Zhongshuang 9. The cDNA of BnAP2, with 1, 299 bp in length, encoded a transcription factor comprising of 432 amino acid residues. Results from complementary experiment indicated that BnAP2 was completely capable of restoring the phenotype of Arabidopsis ap2-11 mutant. Together with the sequence and expression data, the complementation data suggested that BnAP2 encodes the ortholog of AtAP2. To address the transcriptional activation of BnAP2, we performed transactivation assays in yeast. Fusion protein of BnAP2 with GAL4 DNA binding domain strongly activated transcription in yeast, and the transactivating activity of BnAP2 was localized to the N-terminal 100 amino acids. To further study the function of BnAP2 involved in the phenotype of B. napus, we used a transgenic approach that involved targeted RNA interference (RNAi) repression induced by ihp-RNA. Floral various phenotype defectives and reduced female fertility were observed in B. napus BnAP2-RNAi lines. Loss of the function of BnAP2 gene also resulted in delayed sepal abscission and senescence with the ethylene-independent pathway. In the strong BnAP2-RNAi lines, seeds showed defects in shape, structure and development and larger size. Strong BnAP2-RNAi and wild-type seeds initially did not display a significant difference in morphology at 10 DAF, but the development of BnAP2-RNAi seeds was slower than that of wild type at 20 DAF, and further at 30 DAF, wild-type seeds were essentially at their final size, whereas BnAP2-RNAi seeds stopped growing and developing and gradually withered.


BMC Genomics | 2014

Dynamics in the resistant and susceptible peanut (Arachis hypogaea L.) root transcriptome on infection with the Ralstonia solanacearum.

Yuning Chen; Xiaoping Ren; Xiaojing Zhou; Li-Li Huang; Liying Yan; Yong Lei; Boshou Liao; Jin-Yong Huang; Shunmou Huang; Wenhui Wei; Huifang Jiang

BackgroundBacterial wilt caused by Ralstonia solanacearum is a serious soil-borne disease of peanut (Arachis hypogaea L). The molecular basis of peanut response to R. solanacearum remains unknown. To understand the resistance mechanism behind peanut resistance to R. solanacearum, we used RNA-Seq to perform global transcriptome profiling on the roots of peanut resistant (R) and susceptible (S) genotypes under R. solanacearum infection.ResultsA total of 4.95 x 108 raw sequence reads were generated and subsequently assembled into 271, 790 unigenes with an average length of 890 bp and a N50 of 1, 665 bp. 179, 641 unigenes could be annotated by public protein databases. The pairwise transcriptome comparsions of time course (6, 12, 24, 48 and 72 h post inoculation) were conducted 1) between inoculated and control samples of each genotype, 2) between inoculated samples of R and S genotypes. The linear dynamics of transcriptome profile was observed between adjacent samples for each genotype, two genotypes shared similar transcriptome pattern at early time points with most significant up regulation at 12 hour, and samples from R genotype at 24 h and S genotype at 48 h showed similar transcriptome pattern, significant differences of transcriptional profile were observed in pairwise comparisons between R and S genotypes. KEGG analysis showed that the primary metabolisms were inhibited in both genotypes and stronger inhibition in R genotype post inoculation. The defense related genes (R gene, LRR-RLK, cell wall genes, etc.) generally showed a genotype-specific down regulation and different expression between both genotypes.ConclusionThis transcriptome profiling provided the largest data set that explores the dynamic in crosstalk between peanut and R. solanacearum. The results suggested that the down-regulation of primary metabolism is contributed to the resistance difference between R and S genotypes. The genotype-specific expression pattern of defense related DEGs also contributed to the resistance difference between R and S genotype. This study will strongly contribute to better understand the molecular interaction between plant and R. solanacearum.


Molecular Biology Reports | 2012

Large-scale sequencing of normalized full-length cDNA library of soybean seed at different developmental stages and analysis of the gene expression profiles based on ESTs

Ai-Hua Sha; Chen Li; Xiaohong Yan; Zhihui Shan; Xinan Zhou; Mulan Jiang; Han Mao; Bo Chen; Xia Wan; Wenhui Wei

Although GenBank has now covered over 1,400,000 expressed sequence tags (ESTs) from soybean, most ESTs available to the public have been derived from tissues or environmental conditions rather than developing seeds. It is absolutely necessary for annotating the molecular mechanisms of soybean seed development to analyze completely the gene expression profiles of its immature seed at various stages. Here we have constructed a full-length-enriched cDNA library comprised of a total of 45,408 cDNA clones which cover various stages of soybean seed development. Furthermore, we have sequenced from 5′ ends of these clones, 36,656 ESTs were obtained in the present study. These EST sequences could be categorized into 27,982 unigenes, including 22,867 contigs and 5,115 singletons, among which 27,931 could be mapped onto soybean 20 chromosome sequences. Comparative genomic analysis with other plants has revealed that these unigenes include lots of candidate genes specific to dicot, legume and soybean. Approximately 1,789 of these unigenes currently show no homology to known soybean sequences, suggesting that many represent mRNAs specifically expressed in seeds. Novel abundant genes involved in the oil synthesis have been found in this study, may serve as a valuable resource for soybean seed improvement.


Agricultural Sciences in China | 2010

Cloning and Expression Level Analysis of Two BnaANT Candidate Genes in Brassica napus

Bo Chen; Tai-xia Wang; Han-zhong Wang; Yun-chang Li; Xiaohong Yan; Lijun Wang; Wenhui Wei

AINTEGUMENTA (ANT) gene has been proved to have a novel function on controlling the organ size and the seed weight in Arabidopsis thaliana, the research on its orthologous gene in Brassica napus will be of potential interest to elucidate the molecular mechanism of rapeseed development and increase the rapeseed output. A SMART cDNA library of the flower bud from B. napus cultivar Zhongshuang 9 was constructed, and the full-length cDNAs of two homologous BnaANT candidate genes were cloned by PCR in B. napus, namely BnaX.ANT.a (GenBank accession no. DQ211969) and BnaX.ANT.b (accession no. DQ211970). They shared 87.1 and 83.4% amino acid identity with ANT of A. thaliana, respectively. There is 87.4% amino acid identity between BnaX.ANT.a and BnaX.ANT.b. By quantitative real-time PCR, the obviously differential expression levels of the two BnaANT candidate genes were detected in the 28 DAF seeds of the big and small grains B. napus lines, the expression abundance of BnaANT in the 28 DAF seed of 9311 was over three times compared to that of 9260, which indicates that these two BnaANT genes are also likely related to the floral organ size and the seed weight in B. napus.


PLOS ONE | 2018

Small RNA and degradome profiling involved in seed development and oil synthesis of Brassica napus

Wenhui Wei; Gan Li; Xiaoling Jiang; Yuquan Wang; Zhihui Ma; Zhipeng Niu; Zhiwei Wang; Xinxin Geng

MicroRNAs (miRNAs) play a prominent role in post-transcriptional gene expression regulation and have been involved in various biological and metabolic processes to regulate gene expression. For Brassica napus, improving seed-weight and oil-content is the main breeding goal. In order to better understand the regulation mechanism of miRNAs during seed-weight formation and oil-content accumulation in B. napus, in this study, a high-throughput sequencing technology was used to profile miRNAs expression of Brassica napus immature seeds from one to six weeks after flowering. A total of 1,276 miRNAs, including 1,248 novel and 28 known miRNAs, were obtained from both the high-seed-weight with low-oil-content RNA pool (S03) and the low-seed-weight with high-oil-content RNA pool (S04). Analysis of their expression profiles disclosed that 300 novel and two known miRNAs were differentially expressed between S03 and S04. For degradome analysis, 57 genes with 64 degradation sites were predicted to be targeted for degradation by these miRNAs. Further bioinformatics analysis indicated that these differentially expressed miRNAs might participate in regulation of myriad cellular and molecular processes, during seed development and oil synthesis. Finally, 6 target genes with potential roles in regulation of seed development and 9 other targets in seed oil synthesis, were further confirmed as candidate genes from small RNA and degradome sequencing.

Collaboration


Dive into the Wenhui Wei's collaboration.

Top Co-Authors

Avatar

Xiaohong Yan

Crops Research Institute

View shared research outputs
Top Co-Authors

Avatar

Li-Jun Wang

Crops Research Institute

View shared research outputs
Top Co-Authors

Avatar

Xinxin Geng

Crops Research Institute

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Boshou Liao

Crops Research Institute

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Huifang Jiang

Crops Research Institute

View shared research outputs
Top Co-Authors

Avatar

Lijun Wang

Crops Research Institute

View shared research outputs
Top Co-Authors

Avatar

Liying Yan

Crops Research Institute

View shared research outputs
Top Co-Authors

Avatar

Xiaoping Ren

Crops Research Institute

View shared research outputs
Researchain Logo
Decentralizing Knowledge