Xueren Cao

Dr. Xueren Cao

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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1 January 2019 in Plant Disease
Verified
Journal Article
Open access
XCXueren Cao
Xueren Cao
Xiangming XuXiangming Xu
Xiangming Xu
HCHaiyan Che
Haiyan Che
Jonathan Spencer WestJonathan Spencer West
Jonathan Spencer West
DLDaquan Luo
Daquan Luo
Colletotrichum gloeosporioides and C. acutatum have been reported to be causal agents of anthracnose disease of rubber tree. Recent investigations have shown that both C. gloeosporioides and C. acutatum are species complexes. The identities of Colletotrichum species causing anthracnose disease of rubber tree in Hainan, China, are unknown. In this study, 106 isolates obtained from rubber tree with symptoms of anthracnose were collected from 12 counties of Hainan and identified at the species complex level based on the ITS sequences and colony morphologies. Seventy-four isolates were identified as C. gloeosporioides species complex and the other 32 isolates as C. acutatum species complex. Forty-two isolates were selected for further multilocus phylogenetic analyses in order to identify the isolates to the species level. Twenty-six isolates from the C. gloeosporioides species complex were characterized for partial sequences of seven gene regions (ACT, TUB2, CHS-1, GAPDH, ITS, ApMat, and GS), and the other 16 isolates from the C. acutatum species complex for five gene regions (ACT, TUB2, CHS-1, GAPDH, and ITS). Three species were identified: C. siamense and C. fructicola from the C. gloeosporioides species complex, and a new species C. wanningense from the C. acutatum species complex. Artificial inoculation of rubber tree leaves confirmed the pathogenicity of the three species. The present study improves the understanding of species causing anthracnose on rubber tree and provides useful information for the effective control of the disease.

1 October 2017 in Plant Disease
Verified
Journal Article
Open access
XTXiuli Tang
Xiuli Tang
XCXueren Cao
Xueren Cao
Xiangming XuXiangming Xu
Xiangming Xu
YJYuying Jiang
Yuying Jiang
YLYong Luo
Yong Luo
YZYilin Zhou
Yilin Zhou
Powdery mildew is a highly destructive winter wheat pathogen in China. Since the causative agent is sensitive to changing weather conditions, we analyzed climatic records from regions with previous wheat powdery mildew epidemics (1970 to 2012) and investigated the long-term effects of climate change on the percent acreage (PA) of the disease. Then, using PA and the pathogen’s temperature requirements, we constructed a multiregression model to predict changes in epidemics during the 2020s, 2050s, and 2080s under representative concentration pathways RCP2.6, RCP4.5, and RCP8.5. Mean monthly air temperature increased from 1970 to 2012, whereas hours of sunshine and relative humidity decreased (P < 0.001). Year-to-year temperature changes were negatively associated with those of PA during oversummering and late spring periods of disease epidemics, whereas positive relationships were noted for other periods, and year-to-year changes in relative humidity were correlated with PA changes in the early spring period of disease epidemics (P < 0.001). Our models also predicted that PA would increase less under RCP2.6 (14.43%) than under RCP4.5 (14.51%) by the 2020s but would be higher by the 2050s and 2080s and would increase least under RCP8.5 (14.37% by the 2020s). Powdery mildew will, thus, pose an even greater threat to China’s winter wheat production in the future.

9 April 2019 in Plant Pathology
Verified
Journal Article
Closed access
PDF file
XCXueren Cao
Xueren Cao
XXX. M. Xu
X. M. Xu
HCH. Y. Che
H. Y. Che
Jonathan Spencer WestJonathan Spencer West
Jonathan Spencer West
DLDaquan Luo
Daquan Luo

1 May 2020 in Plant Disease
Verified
Journal Article
Closed access
XCXueren Cao
Xueren Cao
Xiangming XuXiangming Xu
Xiangming Xu
HCHaiyan Che
Haiyan Che
Jonathan Spencer WestJonathan Spencer West
Jonathan Spencer West
DLDaquan Luo
Daquan Luo
Genus Colletotrichum is one of the most important genera of plant-pathogenic fungi affecting numerous species, particularly tropical and subtropical crops and fruit trees. In this study, 43 Colletotrichum strains were isolated from areca palm leaves with anthracnose symptoms in 11 areca palm plantations in eight counties of Hainan, China. Based on the morphology, phylogenetic analysis of six loci (internal transcribed spacer, actin, chitin synthase 1, glyceraldehyde-3-phosphate dehydrogenase, β-tubulin, and mating type locus MAT1-2), and pathogenicity tests, eight Colletotrichum species were distinguished, comprising five previously known species (C. cordylinicola, C. fructicola, C. gloeosporioides, C. siamense, and C. tropicale), one unidentified Colletotrichum species, a new species (C. arecicola) in the gloeosporioides species complex, and C. karstii in the boninense species complex. C. siamense was the most common species found in areca palm in Hainan, followed by C. arecicola. Pathogenicity tests showed that all eight species could cause anthracnose symptoms on areca palm leaves using a wound inoculation method and that the isolates from the gloeosporioides species complex caused larger lesions than the isolates from the boninense species complex. Further research is needed to understand the epidemiology of these pathogenic species on areca palm in order to develop management strategies.

1 October 2017 in Plant Disease
Verified
Journal Article
Open access
XCXueren Cao
Xueren Cao
Xiangming XuXiangming Xu
Xiangming Xu
HCHaiyan Che
Haiyan Che
Jonathan Spencer WestJonathan Spencer West
Jonathan Spencer West
DLDaquan Luo
Daquan Luo
Colletotrichum gloeosporioides and C. acutatum species complexes are causal agents of Colletotrichum leaf disease (CLD) of rubber trees worldwide. To determine the geographic distribution of Colletotrichum species complexes associated with CLD of rubber trees in Hainan, China, and their sensitivity to fungicides used in the region, a total of 275 Colletotrichum isolates were collected from 52 rubber tree plantations in 11 counties. These isolates were identified based jointly on morphological characteristics and PCR-based methodology. Of these isolates, 78 and 22% belonged to the C. gloeosporioides species complex (CGSC) and the C. acutatum complex (CASC), respectively. The incidence of CGSC isolates was greater than the CASC in all counties sampled. The incidence of CASC isolates appeared to be lower in the western and central south of Hainan than in other regions. There was no association in their presence at a given plantation between the two species complexes. The in vitro sensitivity of these two species complexes to carbendazim, chlorothalonil, and four demethylation inhibitor (DMI) fungicides (difenoconazole, propiconazole, myclobutanil, and prochloraz) was determined. Carbendazim was effective against CGSC but not against CASC with mean ED50 values of 0.176 and 2.182 µg/ml, respectively. CASC isolates were more sensitive to difenoconazole, propiconazole, and myclobutanil (mean ED50 values of 0.177, 0.129, and 1.424 µg/ml, respectively) than CGSC isolates (mean ED50 values of 0.710, 0.348, and 3.496 µg/ml, respectively). Mean ED50 values of CGSC against chlorothalonil and prochloraz were 173.341 and 0.035 µg/ml, respectively; corresponding values for CASC were 151.441 and 0.040 µg/ml. These results suggest that prochloraz, propiconazole, and difenoconazole are effective against both species complexes.

1 October 2018 in Plant Disease
Verified
Journal Article
Open access
WLWei Liu
Wei Liu
XCXueren Cao
Xueren Cao
JFJieru Fan
Jieru Fan
ZWZhenhua Wang
Zhenhua Wang
ZYZhengyuan Yan
Zhengyuan Yan
YZYilin Zhou
Yilin Zhou
High-resolution aerial imaging with an unmanned aerial vehicle (UAV) was used to quantify wheat powdery mildew and estimate grain yield. Aerial digital images were acquired at Feekes growth stage (GS) 10.5.4 from flight altitudes of 200, 300, and 400 m during the 2009–10 and 2010–11 seasons; and 50, 100, 200, and 300 m during the 2011–12, 2012–13, and 2013–14 seasons. The image parameter lgR was consistently correlated positively with wheat powdery mildew severity and negatively with wheat grain yield for all combinations of flight altitude and year. Fitting the data with random coefficient regression models showed that the exact relationship of lgR with disease severity and grain yield varied considerably from year to year and to a lesser extent with flight altitude within the same year. The present results raise an important question about the consistency of using remote imaging information to estimate disease severity and grain yield. Further research is needed to understand the nature of interyear variability in the relationship of remote imaging data with disease or grain yield. Only then can we determine how the remote imaging tool can be used in commercial agriculture.