Dong Wang

Dr. Dong Wang

Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences, Jinan, Shandong, China
orcid

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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22 September 2022 in Nature Genetics
Verified
Journal Article
Open access
PDF file
TYTao Yang
Tao Yang
RLRong Liu
Rong Liu
YLYingfeng Luo
Yingfeng Luo
SHSongnian Hu
Songnian Hu
Dong WangDong Wang
Dong Wang
XZXuxiao Zong
Xuxiao Zong
Complete and accurate reference genomes and annotations provide fundamental resources for functional genomics and crop breeding. Here we report a de novo assembly and annotation of a pea cultivar ZW6 with contig N50 of 8.98 Mb, which features a 243-fold increase in contig length and evident improvements in the continuity and quality of sequence in complex repeat regions compared with the existing one. Genome diversity of 118 cultivated and wild pea demonstrated thatPisum abyssinicumis a separate species different fromP. fulvumandP. sativumwithinPisum. Quantitative trait locus analyses uncovered two known Mendel’s genes related to stem length (Le/le) and seed shape (R/r) as well as some candidate genes for pod form studied by Mendel. A pan-genome of 116 pea accessions was constructed, and pan-genes preferred inP. abyssinicumandP. fulvumshowed distinct functional enrichment, indicating the potential value of them as pea breeding resources in the future.

5 March 2022 in Plant Methods
Verified
Journal Article
Open access
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Yishan JiYishan Ji
Yishan Ji
ZCZhen Chen
Zhen Chen
QCQian Cheng
Qian Cheng
RLRong Liu
Rong Liu
MLMengwei Li
Mengwei Li
TYTao Yang
Tao Yang
Background: Faba bean is an important legume crop in the world. Plant height and yield are important traits for crop improvement. The traditional plant height and yield measurement are labor intensive and time consuming. Therefore, it is essential to estimate these two parameters rapidly and efficiently. The purpose of this study was to provide an alternative way to accurately identify and evaluate faba bean germplasm and breeding materials. Results: The results showed that 80% of the maximum plant height extracted from two-dimensional red–green–blue (2D-RGB) images had the best fitting degree with the ground measured values, with the coefficient of determination (R2), root-mean-square error (RMSE), and normalized root-mean-square error (NRMSE) were 0.9915, 1.4411 cm and 5.02%, respectively. In terms of yield estimation, support vector machines (SVM) showed the best performance (R2 = 0.7238, RMSE = 823.54 kg ha−1, NRMSE = 18.38%), followed by random forests (RF) and decision trees (DT). Conclusion: The results of this study indicated that it is feasible to monitor the plant height of faba bean during the whole growth period based on UAV imagery. Furthermore, the machine learning algorithms can estimate the yield of faba bean reasonably with the multiple time points data of plant height.

24 May 2022 in The Crop Journal
Verified
Journal Article
Open access
GLGuan Li
Guan Li
RLRong Liu
Rong Liu
RXRongfang Xu
Rongfang Xu
RVRajeev K. Varshney
Rajeev K. Varshney
HDHanfeng Ding
Hanfeng Ding
TYTao Yang
Tao Yang
Pea (Pisum sativum L.) is an annual cool-season legume crop. Owing to its role in sustainable agriculture as both a rotation and a cash crop, its global market is expanding and increased production is urgently needed. For both technical and regulatory reasons, neither conventional nor transgenic breeding techniques can keep pace with the demand for increased production. In answer to this challenge, CRISPR/Cas9 genome editing technology has been gaining traction in plant biology and crop breeding in recent years. However, there are currently no reports of the successful application of the CRISPR/Cas9 genome editing technology in pea. We developed a transient transformation system of hairy roots, mediated by Agrobacterium rhizogenes strain K599, to validate the efficiency of a CRISPR/Cas9 system. Further optimization resulted in an efficient vector, PsU6.3-tRNA-PsPDS3-en35S-PsCas9. We used this optimized CRISPR/Cas9 system to edit the pea phytoene desaturase (PsPDS) gene, causing albinism, by Agrobacterium-mediated genetic transformation. This is the first report of successful generation of gene-edited pea plants by this route.

31 October 2017 in Frontiers in Plant Science
Verified
Journal Article
Open access
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XHXiaopeng Hao
Xiaopeng Hao
TYTao Yang
Tao Yang
RLRong Liu
Rong Liu
JHJinguo Hu
Jinguo Hu
YYYang Yao
Yang Yao
XZXuxiao Zong
Xuxiao Zong
Grasspea (Lathyrus sativus L., 2n = 14) has great agronomic potential because of its ability to survive under extreme conditions, such as drought and flood. However, this legume is less investigated because of its sparse genomic resources and very slow breeding process. In this study, 570 million quality-filtered and trimmed cDNA sequence reads with total length of over 82 billion bp were obtained using the Illumina NextSeqTM 500 platform. Approximately two million contigs and 142,053 transcripts were assembled from our RNA-Seq data, which resulted in 27,431 unigenes with an average length of 1,250 bp and maximum length of 48,515 bp. The unigenes were of high-quality. For example, the stay-green (SGR) gene of grasspea was aligned with the SGR gene of pea with high similarity. Among these unigenes, 3,204 EST-SSR primers were designed, 284 of which were randomly chosen for validation. Of these validated unigenes, 87 (30.6%) EST-SSR primers produced polymorphic amplicons among 43 grasspea accessions selected from different geographical locations. Meanwhile, 146,406 SNPs were screened and 50 SNP loci were randomly chosen for the kompetitive allele-specific PCR (KASP) validation. Over 80% (42) SNP loci were successfully transformed to KASP markers. Comparison of the dendrograms according to the SSR and KASP markers showed that the different marker systems are partially consistent with the dendrogram constructed in our study.

1 October 2019 in Infection and Immunity
Verified
Journal Article
Open access
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Shaohui WangShaohui Wang
Shaohui Wang
DYDenghui Yang
Denghui Yang
XWXiaojun Wu
Xiaojun Wu
ZYZhengfei Yi
Zhengfei Yi
Yang WangYang Wang
Yang Wang
SYShengqing Yu
Shengqing Yu
Type VI secretion systems (T6SSs) are highly conserved and complex protein secretion systems that deliver effector proteins into eukaryotic hosts or other bacteria. T6SSs are regulated precisely by a variety of regulatory systems, which enables bacteria to adapt to varied environments. A T6SS within Salmonella pathogenicity island 6 (SPI-6) is activated during infection, and it contributes to the pathogenesis, as well as interbacterial competition, of Salmonella enterica serovar Typhimurium (S. Typhimurium). However, the regulation of the SPI-6 T6SS in S. Typhimurium is not well understood. In this study, we found that the SPI-6 T6SS core gene clpV was significantly upregulated in response to the iron-depleted condition and during infection. The global ferric uptake regulator (Fur) was shown to repress the clpV expression in the iron-replete medium. Moreover, electrophoretic mobility shift and DNase I footprinting assays revealed that Fur binds directly to the clpV promoter region at multiple sites spanning the transcriptional start site. We also observed that the relieving of Fur-mediated repression on clpV contributed to the interbacterial competition activity and pathogenicity of S. Typhimurium. These findings provide insights into the direct regulation of Fur in the expression and functional activity of SPI-6 T6SS in S. Typhimurium and thus help to elucidate the mechanisms of bacterial adaptability and virulence.

12 June 2021 in Theoretical and Applied Genetics
Verified
Journal Article
Closed access
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CWChenyu Wang
Chenyu Wang
RLRong Liu
Rong Liu
YLYujiao Liu
Yujiao Liu
WHWanwei Hou
Wanwei Hou
XWXuejun Wang
Xuejun Wang
TYTao Yang
Tao Yang