Youlin Peng

Dr. Youlin Peng

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2014 in Molecular Plant
Verified
Journal Article
Open access
GZGuang-Heng Zhang
Guang-Heng Zhang
SLShu-Yu Li
Shu-Yu Li
Li WangLi Wang
Li Wang
WYWei-Jun Ye
Wei-Jun Ye
DZDa-Li Zeng
Da-Li Zeng
QQQian Qian
Qian Qian
The basic premise of high yield in rice is to improve leaf photosynthetic efficiency and coordinate the source-sink relationship in rice plants. Quantitative trait loci (QTLs) related to morphological traits and chlorophyll content of rice leaves were detected at the stages of heading to maturity, and a major QTL (qLSCHL4) related to flag leaf shape and chlorophyll content was detected at both stages in recombinant inbred lines constructed using the indica rice cultivar 93-11 and the japonica rice cultivar Nipponbare. Map-based cloning and expression analysis showed that LSCHL4 is allelic to NAL1, a gene previously reported in narrow leaf mutant of rice. Overexpression lines transformed with vector carrying LSCHL4 from Nipponbare and a near-isogenic line of 93-11 (NIL-9311) had significantly increased leaf chlorophyll content, enlarged flag leaf size, and improved panicle type. The average yield of NIL-9311 was 18.70% higher than that of 93-11. These results indicate that LSCHL4 had a pleiotropic function. Exploring and pyramiding more high-yield alleles resembling LSCHL4 for super rice breeding provides an effective way to achieve new breakthroughs in raising rice yield and generate new ideas for solving the problem of global food safety.

13 March 2020 in New Phytologist
Verified
Journal Article
Closed access
PDF file
BRBanpu Ruan
Banpu Ruan
SLShang Lianguang
Shang Lianguang
BZBin Zhang
Bin Zhang
JHJiang Hu
Jiang Hu
YWYuexing Wang
Yuexing Wang
Zhenyu GaoZhenyu Gao
Zhenyu Gao

12 August 2013 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
PDF file
ZGZhen-Yu Gao
Zhen-Yu Gao
SZShan-Cen Zhao
Shan-Cen Zhao
WHWei-Ming He
Wei-Ming He
LGLong-Biao Guo
Long-Biao Guo
YPYoulin Peng
Youlin Peng
QQQian Qian
Qian Qian
Significance: Hybrid rice developed in China has been contributing greatly to the world’s food production. The pioneer super hybrid rice developed by crossing 93–11 and Peiai 64s , Liang–You–Pei–Jiu has been widely grown in China and other Asia-Pacific regions for its high yield. Here, the quality genome sequences for both parental lines were presented and updated, and a high-resolution map of genome-wide graphic genotypes was constructed by deep resequencing a core population of 132 Liang–You–Pei–Jiu recombinant inbred lines. A series of yield-associated loci were fine-mapped, and two of them were delimited to regions each covering one candidate gene with the large recombinant inbred line population. The study provided an ideal platform for molecular breeding by quantitative trait loci cloning in rice.

17 January 2015 in Rice
Verified
Journal Article
Open access
PDF file
BZBin Zhang
Bin Zhang
WYWeijun Ye
Weijun Ye
Deyong RenDeyong Ren
Deyong Ren
PTPeng Tian
Peng Tian
YPYoulin Peng
Youlin Peng
Zhenyu GaoZhenyu Gao
Zhenyu Gao
Background: Flag leaf is the most essential organ for photosynthesis in rice and its size plays an important role in rice breeding for ideal plant-type. Flag leaf size affect photosynthesis to a certain extent, thereby influencing rice production. Several genes controlling leaf size and shape have been identified with mutants. Although a number of quantitative trait loci (QTLs) for leaf size and shape have been detected on 12 chromosomes with different populations of rice, few of them were cloned. Results: The pair-wise correlation analysis was conducted on length, width and length-width ratio of the flag leaf, and yield per plant in the core recombinant inbred lines of Liang-You-Pei-Jiu (LYP9) developed in Hainan and Hangzhou. There were significant correlations among the three flag leaf size and shape traits. Interestingly, a positive correlation was found between flag leaf width and yield per plant. Based on the high-resolution linkage map we constructed before, 43 QTLs were detected for three flag leaf size and shape traits and yield per plant, among which 31 QTLs were unreported so far. Seven QTLs were identified common in two environments. And qFLW7.2, a new major QTL for flag leaf width, was fine mapped within 27.1 kb region on chromosome 7. Both qFLW7.2 and qPY7 were located in the interval of 45.30 ~ 53.34 cM on chromosome 7, which coincided with the relationship between yield per plant (PY) and flag leaf width (FLW). Conclusion: qFLW7.2, which explained 14% of the phenotypic variation, increased flag leaf width with 93–11 allele. Two candidate genes were selected based on sequence variation and expression difference between two parents, which facilitated further QTL cloning and molecular breeding in super rice.

16 August 2024 in Plant Biotechnology Journal
Verified
Journal Article
Open access
XZXiaoming Zheng
Xiaoming Zheng
YPYoulin Peng
Youlin Peng
JQJiyue Qiao
Jiyue Qiao
Robert HenryRobert Henry
Robert Henry
QQQian Qian
Qian Qian
Summary: Germplasm resources serve as the foundations of advancements in breeding and are crucial for maintaining food security. Wild rice species of the genus Oryza include rich sources of genetic diversity and high adaptability, making them a substantial resource for rice breeding. The discovery of wild‐type cytoplasmic male sterility resources enabled the achievement of the ‘three lines’ goal in hybrid rice, significantly increasing rice yields. The application of resistance alleles from wild rice enables rice production to withstand losses caused by stress. Reduced genetic diversity due to rice breeding poses a significant limitation to further advances and can be alleviated through a systematic use of wild genetic resources that integrate geographic, climatic and environmental data of the original habitat, along with extensive germplasm collection and identification using advanced methods. Leveraging technological advancements in plant genomics, the understanding of genetic mechanisms and the application of artificial intelligence and gene editing can further enhance the efficiency and accuracy of this process. These advancements facilitate rapid isolation and functional studies of genes, and precise genome manipulation. This review systematically summarizes the utilization of superior genes and germplasm resources derived from wild rice sources, while also exploring the collection, conservation, identification and utilization of further wild rice germplasm resources. A focus on genome sequencing and biotechnology developments is leading to new breeding and biotechnology opportunities. These new opportunities will not only promote the development of rice varieties that exhibit high yields, superior stress resistance and high quality but also expand the genetic diversity among rice cultivars.

29 June 2021 in Agriculture
Verified
Journal Article
Open access
PDF file
YPYoulin Peng
Youlin Peng
YHYungao Hu
Yungao Hu
QQQian Qian
Qian Qian
Deyong RenDeyong Ren
Deyong Ren
Rice (Oryza sativa L.) is one of the most important cereal crops in the world. The identification of sd1 mutants in rice resulted in a semi-dwarf phenotype that was used by breeders to improve yields. Investigations of sd1 mutants initiated the “green revolution” for rice and staved off famine for many people in the 1960s. The smaller plant height conferred by sd1 allele gives the plants lodging resistance even with a high amount of nitrogen fertilizer. Guang-chang-ai-carrying sd1 was the first high-yielding rice variety that capitalized on the semi-dwarf trait, aiming to significantly improve the rice yield in China. IR8, known as the miracle rice, was also bred by using sd1. The green revolution gene sd1 in rice has been used for decades, but was not identified for a long time. The SD1 gene encodes the rice Gibberellin 20 oxidase-2 (GA20ox2). As such, the SD1 gene is instrumental in uncovering the molecular mechanisms underlying gibberellin biosynthesis There are ten different alleles of SD1. These alleles are identified by genome sequencing within several donor lines in breeding for semi-dwarf rice. Apart from breeding applications and the molecular mechanism of GA biosynthesis, the SD1 gene is also involved in the molecular regulation of other important agronomic traits, like nitrogen fertilizer utilization. The dentification of new alleles of SD1 can be obtained by mutagenesis and genome editing. These new alleles will play an important role in improving the resource diversity of semi-dwarf breeding in the future.