Lijuan Qiu

Prof. Dr. Lijuan Qiu

Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China

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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Journal Article
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MNMuhammad Nadeem
Muhammad Nadeem
JLJiajia Li
Jiajia Li
MYMuhammad Yahya
Muhammad Yahya
ASAlam Sher
Alam Sher
HZHaiping Zhang
Haiping Zhang
Lijuan QiuLijuan Qiu
Lijuan Qiu
Climate change, food shortage, water scarcity, and population growth are some of the threatening challenges being faced in today’s world. Drought stress (DS) poses a constant challenge for agricultural crops and has been considered a severe constraint for global agricultural productivity; its intensity and severity are predicted to increase in the near future. Legumes demonstrate high sensitivity to DS, especially at vegetative and reproductive stages. They are mostly grown in the dry areas and are moderately drought tolerant, but severe DS leads to remarkable production losses. The most prominent effects of DS are reduced germination, stunted growth, serious damage to the photosynthetic apparatus, decrease in net photosynthesis, and a reduction in nutrient uptake. To curb the catastrophic effect of DS in legumes, it is imperative to understand its effects, mechanisms, and the agronomic and genetic basis of drought for sustainable management. This review highlights the impact of DS on legumes, mechanisms, and proposes appropriate management approaches to alleviate the severity of water stress. In our discussion, we outline the influence of water stress on physiological aspects (such as germination, photosynthesis, water and nutrient uptake), growth parameters and yield. Additionally, mechanisms, various management strategies, for instance, agronomic practices (planting time and geometry, nutrient management), plant growth-promoting Rhizobacteria and arbuscular mycorrhizal fungal inoculation, quantitative trait loci (QTLs), functional genomics and advanced strategies (CRISPR-Cas9) are also critically discussed. We propose that the integration of several approaches such as agronomic and biotechnological strategies as well as advanced genome editing tools is needed to develop drought-tolerant legume cultivars.

4 November 2014 in The Plant Journal
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RGRongxia Guan
Rongxia Guan
YQYue Qu
Yue Qu
YGYong Guo
Yong Guo
LYLili Yu
Lili Yu
YLYing Liu
Ying Liu
Lijuan QiuLijuan Qiu
Lijuan Qiu
Summary: The identification of genes that improve the salt tolerance of crops is essential for the effective utilization of saline soils for agriculture. Here, we use fine mapping in a soybean (Glycine max (L.) Merr.) population derived from the commercial cultivars Tiefeng 8 and 85–140 to identify GmSALT3 (salt tolerance‐associated gene on chromosome 3), a dominant gene associated with limiting the accumulation of sodium ions (Na+) in shoots and a substantial enhancement in salt tolerance in soybean. GmSALT3 encodes a protein from the cation/H+ exchanger family that we localized to the endoplasmic reticulum and which is preferentially expressed in the salt‐tolerant parent Tiefeng 8 within root cells associated with phloem and xylem. We identified in the salt‐sensitive parent, 85–140, a 3.78‐kb copia retrotransposon insertion in exon 3 of Gmsalt3 that truncates the transcript. By sequencing 31 soybean landraces and 22 wild soybean (Glycine soja) a total of nine haplotypes including two salt‐tolerant haplotypes and seven salt‐sensitive haplotypes were identified. By analysing the distribution of haplotypes among 172 Chinese soybean landraces and 57 wild soybean we found that haplotype 1 (H1, found in Tiefeng 8) was strongly associated with salt tolerance and is likely to be the ancestral allele. Alleles H2–H6, H8 and H9, which do not confer salinity tolerance, were acquired more recently. H1, unlike other alleles, has a wide geographical range including saline areas, which indicates it is maintained when required but its potent stress tolerance can be lost during natural selection and domestication. GmSALT3 is a gene associated with salt tolerance with great potential for soybean improvement.

28 August 2013 in BMC Genomics
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yinghui liyinghui li
yinghui li
SZShan-Cen Zhao
Shan-Cen Zhao
JMJianxin Ma
Jianxin Ma
DLDong Li
Dong Li
LYLong Yan
Long Yan
Lijuan QiuLijuan Qiu
Lijuan Qiu
Background: Artificial selection played an important role in the origin of modern Glycine max cultivars from the wild soybean Glycine soja. To elucidate the consequences of artificial selection accompanying the domestication and modern improvement of soybean, 25 new and 30 published whole-genome re-sequencing accessions, which represent wild, domesticated landrace, and Chinese elite soybean populations were analyzed. Results: A total of 5,102,244 single nucleotide polymorphisms (SNPs) and 707,969 insertion/deletions were identified. Among the SNPs detected, 25.5% were not described previously. We found that artificial selection during domestication led to more pronounced reduction in the genetic diversity of soybean than the switch from landraces to elite cultivars. Only a small proportion (2.99%) of the whole genomic regions appear to be affected by artificial selection for preferred agricultural traits. The selection regions were not distributed randomly or uniformly throughout the genome. Instead, clusters of selection hotspots in certain genomic regions were observed. Moreover, a set of candidate genes (4.38% of the total annotated genes) significantly affected by selection underlying soybean domestication and genetic improvement were identified. Conclusions: Given the uniqueness of the soybean germplasm sequenced, this study drew a clear picture of human-mediated evolution of the soybean genomes. The genomic resources and information provided by this study would also facilitate the discovery of genes/loci underlying agronomically important traits.

14 October 2022 in Theoretical and Applied Genetics
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BGBingfu Guo
Bingfu Guo
LSLiping Sun
Liping Sun
SJSiqi Jiang
Siqi Jiang
HRHonglei Ren
Honglei Ren
RSRujian Sun
Rujian Sun
Lijuan QiuLijuan Qiu
Lijuan Qiu
Key message: Genetic resources contributes to the sustainable protein production in soybean. Soybean is an important crop for food, oil, and forage and is the main source of edible vegetable oil and vegetable protein. It plays an important role in maintaining balanced dietary nutrients for human health. The soybean protein content is a quantitative trait mainly controlled by gene additive effects and is usually negatively correlated with agronomic traits such as the oil content and yield. The selection of soybean varieties with high protein content and high yield to secure sustainable protein production is one of the difficulties in soybean breeding. The abundant genetic variation of soybean germplasm resources is the basis for overcoming the obstacles in breeding for soybean varieties with high yield and high protein content. Soybean has been cultivated for more than 5000 years and has spread from China to other parts of the world. The rich genetic resources play an important role in promoting the sustainable production of soybean protein worldwide. In this paper, the origin and spread of soybean and the current status of soybean production are reviewed; the genetic characteristics of soybean protein and the distribution of resources are expounded based on phenotypes; the discovery of soybean seed protein-related genes as well as transcriptomic, metabolomic, and proteomic studies in soybean are elaborated; the creation and utilization of high-protein germplasm resources are introduced; and the prospect of high-protein soybean breeding is described.

19 October 2015 in New Phytologist
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YHYingpeng Han
Yingpeng Han
XZXue Zhao
Xue Zhao
DLDongyuan Liu
Dongyuan Liu
YLYinghui Li
Yinghui Li
DLDavid A. Lightfoot
David A. Lightfoot
WLWenbin Li
Wenbin Li

1 May 2020 in Molecular Plant
Verified
Journal Article
Closed access
CLCong Li
Cong Li
YLYing-Hui Li
Ying-Hui Li
YLYanfei Li
Yanfei Li
HLHongfeng Lu
Hongfeng Lu
HHHuilong Hong
Huilong Hong
Lijuan QiuLijuan Qiu
Lijuan Qiu