Jianbo Jian

Jianbo Jian


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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29 April 2019 in Nature Genetics
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Rajeev VarshneyRajeev Varshney
Rajeev Varshney
Mahendar ThudiMahendar Thudi
Mahendar Thudi
Manish RoorkiwalManish Roorkiwal
Manish Roorkiwal
WHWeiming He
Weiming He
HUHari D. Upadhyaya
Hari D. Upadhyaya
XLXin Liu
Xin Liu

28 November 2022 in Nature Communications
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Journal Article
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JYJunhui Yuan
Junhui Yuan
SJSanjie Jiang
Sanjie Jiang
JJJianbo Jian
Jianbo Jian
MLMingyu Liu
Mingyu Liu
ZYZhen Yue
Zhen Yue
YHYonghong Hu
Yonghong Hu
Tree peony (Paeonia ostii) is an economically important ornamental plant native to China. It is also notable for its seed oil, which is abundant in unsaturated fatty acids such as α-linolenic acid (ALA). Here, we report chromosome-level genome assembly (12.28 Gb) ofP. ostii. In contrast to monocots with giant genomes, tree peony does not appear to have undergone lineage-specific whole-genome duplication. Instead, explosive LTR expansion in the intergenic regions within a short period (~ two million years) may have contributed to the formation of its giga-genome. In addition, expansion of five types of histone encoding genes may have helped maintain the giga-chromosomes. Further, we conduct genome-wide association studies (GWAS) on 448 accessions and show expansion and high expression of several genes in the key nodes of fatty acid biosynthetic pathway, includingSAD,FAD2andFAD3, may function in high level of ALAs synthesis in tree peony seeds. Moreover, by comparing with cultivated tree peony (P. suffruticosa), we show that ectopic expression of class A geneAP1and reduced expression of class C geneAGmay contribute to the formation of petaloid stamens. Genomic resources reported in this study will be valuable for studying chromosome/genome evolution and tree peony breeding.

5 August 2021 in Horticulture Research
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Hong-Lei LiHong-Lei Li
Hong-Lei Li
LWLin Wu
Lin Wu
Zhaoming DongZhaoming Dong
Zhaoming Dong
YJYusong Jiang
Yusong Jiang
SJSanjie Jiang
Sanjie Jiang
QLQing yi Liu
Qing yi Liu
Ginger (Zingiber officinale), the type species of Zingiberaceae, is one of the most widespread medicinal plants and spices. Here, we report a high-quality, chromosome-scale reference genome of ginger ‘Zhugen’, a traditionally cultivated ginger in Southwest China used as a fresh vegetable, assembled from PacBio long reads, Illumina short reads, and high-throughput chromosome conformation capture (Hi-C) reads. The ginger genome was phased into two haplotypes, haplotype 1 (1.53 Gb with a contig N50 of 4.68 M) and haplotype 0 (1.51 Gb with a contig N50 of 5.28 M). Homologous ginger chromosomes maintained excellent gene pair collinearity. In 17,226 pairs of allelic genes, 11.9% exhibited differential expression between alleles. Based on the results of ginger genome sequencing, transcriptome analysis, and metabolomic analysis, we proposed a backbone biosynthetic pathway of gingerol analogs, which consists of 12 enzymatic gene families, PAL, C4H, 4CL, CST, C3’H, C3OMT, CCOMT, CSE, PKS, AOR, DHN, and DHT. These analyses also identified the likely transcription factor networks that regulate the synthesis of gingerol analogs. Overall, this study serves as an excellent resource for further research on ginger biology and breeding, lays a foundation for a better understanding of ginger evolution, and presents an intact biosynthetic pathway for species-specific gingerol biosynthesis.

18 October 2020 in The Plant Journal
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ZLZhengwei Liu
Zhengwei Liu
HZHonglian Zhu
Honglian Zhu
JZJuhong Zhou
Juhong Zhou
SJSanjie Jiang
Sanjie Jiang
YWYun Wang
Yun Wang
WKWeidong Ke
Weidong Ke

2 September 2015 in BMC Genomics
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HYHuaan Yang
Huaan Yang
JJJianbo Jian
Jianbo Jian
XLXuan Li
Xuan Li
DRDaniel Renshaw
Daniel Renshaw
JCJonathan Clements
Jonathan Clements
Chengdao LiChengdao Li
Chengdao Li
Molecular marker-assisted breeding provides an efficient tool to develop improved crop varieties. A major challenge for the broad application of markers in marker-assisted selection is that the marker phenotypes must match plant phenotypes in a wide range of breeding germplasm. In this study, we used the legume crop species Lupinus angustifolius (lupin) to demonstrate the utility of whole genome sequencing and re-sequencing on the development of diagnostic markers for molecular plant breeding. Nine lupin cultivars released in Australia from 1973 to 2007 were subjected to whole genome re-sequencing. The re-sequencing data together with the reference genome sequence data were used in marker development, which revealed 180,596 to 795,735 SNP markers from pairwise comparisons among the cultivars. A total of 207,887 markers were anchored on the lupin genetic linkage map. Marker mining obtained an average of 387 SNP markers and 87 InDel markers for each of the 24 genome sequence assembly scaffolds bearing markers linked to 11 genes of agronomic interest. Using the R gene PhtjR conferring resistance to phomopsis stem blight disease as a test case, we discovered 17 candidate diagnostic markers by genotyping and selecting markers on a genetic linkage map. A further 243 candidate diagnostic markers were discovered by marker mining on a scaffold bearing non-diagnostic markers linked to the PhtjR gene. Nine out from the ten tested candidate diagnostic markers were confirmed as truly diagnostic on a broad range of commercial cultivars. Markers developed using these strategies meet the requirements for broad application in molecular plant breeding. We demonstrated that low-cost genome sequencing and re-sequencing data were sufficient and very effective in the development of diagnostic markers for marker-assisted selection. The strategies used in this study may be applied to any trait or plant species. Whole genome sequencing and re-sequencing provides a powerful tool to overcome current limitations in molecular plant breeding, which will enable plant breeders to precisely pyramid favourable genes to develop super crop varieties to meet future food demands.

9 January 2021 in Molecular Ecology Resources
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YJYun‐Tao Ji
Yun‐Tao Ji
ZXZhihui Xiu
Zhihui Xiu
CCChun‐Hai Chen
Chun‐Hai Chen
YWYouru Wang
Youru Wang
JYJing‐Xia Yang
Jing‐Xia Yang
CQChangqing Qu
Changqing Qu