Xiaming Wu

Mr. Xiaming Wu


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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14 March 2020 in BMC Plant Biology
Verified
Journal Article
Open access
PDF file
XWXiaming Wu
Xiaming Wu
BWBo Wang
Bo Wang
FXFugui Xie
Fugui Xie
LZLiping Zhang
Liping Zhang
JGJie Gong
Jie Gong
JHJun Huang
Jun Huang
Background: In recent years, the planting area of sweet corn in China has expanded rapidly. Some new varieties with high yields and good adaptabilities have emerged. However, the improvement of edible quality traits, especially through the development of varieties with thin pericarp thickness, has not been achieved to date. Pericarp thickness is a complex trait that is the key factor determining the edible quality of sweet corn. Genetic mapping combined with transcriptome analysis was used to identify candidate genes controlling pericarp thickness.Results: To identify novel quantitative trait loci (QTLs) for pericarp thickness, a sweet corn BC4F3population of 148 lines was developed using the two sweet corn lines M03 (recurrent parent) and M08 (donor parent). Additionally, a high-density genetic linkage map containing 3876 specific length amplified fragment (SLAF) tags was constructed and used for mapping QTLs for pericarp thickness. Interestingly, 14 QTLs for pericarp thickness were detected, and one stable QTL (qPT10–5)was detected across multiple years, which explained 7.78–35.38% of the phenotypic variation located on chromosome 10 (144,631,242-145,532,401). Forty-two candidate genes were found within the target region ofqPT10–5. Moreover, of these 42 genes, five genes (GRMZM2G143402,GRMZM2G143389,GRMZM2G143352,GRMZM6G287947, andAC234202.1_FG004) were differentially expressed between the two parents, as revealed by transcriptome analysis. According to the gene annotation information, three genes might be considered candidates for pericarp thickness.GRMZM2G143352andGRMZM2G143402have been annotated as AUX/IAA transcription factor and ZIM transcription factor, respectively, whileGRMZM2G143389has been annotated as FATTY ACID EXPORT 2, chloroplastic.Conclusions: This study identified a major QTL and candidate genes that could accelerate breeding for the thin pericarp thickness variety of sweet corn, and these results established the basis for map-based cloning and further functional research.

28 December 2019 in Genes
Verified
Journal Article
Open access
PDF file
XWXiaming Wu
Xiaming Wu
FFFaqiang Feng
Faqiang Feng
YZYuzhong Zhu
Yuzhong Zhu
FXFugui Xie
Fugui Xie
JYJing Yang
Jing Yang
JHJun Huang
Jun Huang
Seed vigor is a key factor that determines the quality of seeds, which is of great significance for agricultural production, with the potential to promote growth and productivity. However, the underlying molecular mechanisms and genetic basis for seed vigor remain unknown. High-density genetic linkage mapping is an effective method for genomic study and quantitative trait loci (QTL) mapping. In this study, a high-density genetic map was constructed from a 148 BC4F3 population cross between ‘M03’ and ‘M08’ strains based on specific-locus amplified fragment (SLAF) sequencing. The constructed high-density genetic linkage map (HDGM) included 3876 SNP markers on ten chromosomes covering 2413.25 cM in length, with a mean distance between markers of 0.62 cM. QTL analysis was performed on four sweet corn germination traits that are related to seed vigor under artificial aging conditions. A total of 18 QTLs were identified in two seasons. Interestingly, a stable QTL was detected in two seasons on chromosome 10—termed qGR10—within an interval of 1.37 Mb. Within this interval, combined with gene annotation, we found four candidate genes (GRMZM2G074309, GRMZM2G117319, GRMZM2G465812, and GRMZM2G343519) which may be related to seed vigor after artificial aging.