Cunhong Pan

Cunhong Pan

orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

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

Representative Publications

View All Publications
6 October 2021 in Genome Biology
Verified
Journal Article
Open access
PDF file
NXNing Xiao
Ning Xiao
CPCunhong Pan
Cunhong Pan
YLYuhong Li Li
Yuhong Li Li
YWYunyu Wu
Yunyu Wu
YCYue Cai
Yue Cai
ALAiHong Li
AiHong Li
Background: Balancing the yield, quality and resistance to disease is a daunting challenge in crop breeding due to the negative relationship among these traits. Large-scale genomic landscape analysis of germplasm resources is considered to be an efficient approach to dissect the genetic basis of the complex traits. Central China is one of the main regions where thejaponicarice is produced. However, dozens of high-yield rice varieties in this region still exist with low quality or susceptibility to blast disease, severely limiting their application in rice production.Results: Here, we re-sequence 200japonicarice varieties grown in central China over the past 30 years and analyze the genetic structure of these cultivars using 2.4 million polymorphic SNP markers. Genome-wide association mapping and selection scans indicate that strong selection for high-yield and taste quality associated with low-amylose content may have led to the loss of resistance to the rice blast fungusMagnaporthe oryzae. By extensive bioinformatic analyses of yield components, resistance to rice blast, and taste quality, we identify several superior alleles for these traits in the population. Based on this information, we successfully introduce excellent taste quality and blast-resistant alleles into the background of two high-yield cultivars and develop two elite lines, XY99 and JXY1, with excellent taste, high yield, and broad-spectrum of blast resistance.Conclusions: This is the first large-scale genomic landscape analysis ofjaponicarice varieties grown in central China and we demonstrate a balancing of multiple agronomic traits by genomic-based strategy.

15 May 2018 in Plant Physiology
Verified
Journal Article
Closed access
PDF file
NXNing Xiao
Ning Xiao
YGYong Gao
Yong Gao
HQHuangjun Qian
Huangjun Qian
QGQiang Gao
Qiang Gao
YWYunyu Wu
Yunyu Wu
ALAiHong Li
AiHong Li
Cold stress is a major factor limiting rice (Oryza sativa L.) production worldwide, especially at the seedling and booting stages. Identification of genes associated with cold tolerance (CT) in rice is important for sustainable food production. Here, we report the results of a genome-wide association study (GWAS) to identify the genetic loci associated with CT by using a 1,033-accession diversity panel. We identified five CT-related genetic loci at the booting stage. Accessions carrying multiple cold-tolerant alleles displayed a higher seed setting rate than did accessions that had no cold-tolerant alleles or carried a single allele. At the seedling stage, eight genetic loci related to CT have been identified. Among these, LOC_Os10g34840 was identified as the candidate gene for the qPSR10 genetic locus that is associated with CT in rice seedlings. A single-nucleotide polymorphism (SNP), SNP2G, at position 343 in LOC_Os10g34840 is responsible for conferring cold tolerance at the seedling stage in rice. Further analysis of the haplotype network revealed that SNP2G was present in 80.08% of the temperate japonica accessions but only 3.8% of the indica ones. We used marker-assisted selection to construct a series of BC4F3 near-isogenic lines possessing the cold-tolerance allele SNP2G. When subjected to cold stress, plants carrying SNP2G survived better as seedlings and showed higher grain weight than plants with carrying the SNP2A allele. The CT-related loci identified here and the functional verification of LOC_Os10g34840 will provide genetic resources for breeding cold-tolerant varieties and for studying the molecular basis of cold tolerance in rice.

16 December 2009 in Acta Agronomica Sinica
Verified
Journal Article
Closed access
CPCunhong Pan
Cunhong Pan
ALAiHong Li
AiHong Li
ZCZong-Xiang Chen
Zong-Xiang Chen
LWLin-Bo Wu
Lin-Bo Wu
ZDZheng-Yuan Dai
Zheng-Yuan Dai
XPXue-Biao Pan
Xue-Biao Pan

Verified
Journal Article
Open access
PDF file
XZXiaoxiang Zhang
Xiaoxiang Zhang
HHHuang Huang
Huang Huang
LMLanjing Mo
Lanjing Mo
MLMinjia Lv
Minjia Lv
YGYingbo Gao
Yingbo Gao
YYYouli Yao
Youli Yao
Japonica and indica are two important subspecies in cultivated Asian rice. Irradiation is a classical approach to induce mutations and create novel germplasm. However, little is known about the differential response between japonica and indica rice after γ radiation. Here, we utilized the RNA sequencing and Weighted Gene Co-expression Network Analysis (WGCNA) to compare the transcriptome differences between japonica Nipponbare (NPB) and indica Yangdao6 (YD6) in response to irradiation. Japonica subspecies are more sensitive to irradiation than the indica subspecies. Indica showed a higher seedling survival rate than japonica. Irradiation caused more extensive DNA damage in shoots than in roots, and the severity was higher in NPB than in YD6. GO and KEGG pathway analyses indicate that the core genes related to DNA repair and replication and cell proliferation are similarly regulated between the varieties, however the universal stress responsive genes show contrasting differential response patterns in japonica and indica. WGCNA identifies 37 co-expressing gene modules and ten candidate hub genes for each module. This provides novel evidence indicating that certain peripheral pathways may dominate the molecular networks in irradiation survival and suggests more potential target genes in breeding for universal stress tolerance in rice.

30 April 2009 in Acta Agronomica Sinica
Verified
Journal Article
Closed access
SZShi-Min Zuo
Shi-Min Zuo
ZWZi-Bin Wang
Zi-Bin Wang
XCXi-Jun Chen
Xi-Jun Chen
FGFang Gu
Fang Gu
YZYafang Zhang
Yafang Zhang
CPCunhong Pan
Cunhong Pan

6 February 2022 in Journal of Plant Physiology
Verified
Journal Article
Closed access
YCYue Cai
Yue Cai
HCHaiyuan Chen
Haiyuan Chen
NXNing Xiao
Ning Xiao
YWYunyu Wu
Yunyu Wu
LYLing Yu
Ling Yu
ALAiHong Li
AiHong Li