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Phenotypic evaluation and genetic dissection of resistance to Phytophthora sojae in the Chinese soybean mini core collection

Overview of attention for article published in BMC Genetics, June 2016
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Title
Phenotypic evaluation and genetic dissection of resistance to Phytophthora sojae in the Chinese soybean mini core collection
Published in
BMC Genetics, June 2016
DOI 10.1186/s12863-016-0383-4
Pubmed ID
Authors

Jing Huang, Na Guo, Yinghui Li, Jutao Sun, Guanjun Hu, Haipeng Zhang, Yanfei Li, Xing Zhang, Jinming Zhao, Han Xing, Lijuan Qiu

Abstract

Phytophthora root and stem rot (PRR) caused by Phytophthora sojae is one of the most serious diseases affecting soybean (Glycine max (L.) Merr.) production all over the world. The most economical and environmentally-friendly way to control the disease is the exploration and utilization of resistant varieties. We screened a soybean mini core collection composed of 224 germplasm accessions for resistance against eleven P. sojae isolates. Soybean accessions from the Southern and Huanghuai regions, especially the Hubei, Jiangsu, Sichuan and Fujian provinces, had the most varied and broadest spectrum of resistance. Based on gene postulation, Rps1b, Rps1c, Rps4, Rps7 and novel resistance genes were identified in resistant accessions. Consequently, association mapping of resistance to each isolate was performed with 1,645 single nucleotide polymorphism (SNP) markers. A total of 14 marker-trait associations for Phytophthora resistance were identified. Among them, four were located in known PRR resistance loci intervals, five were located in other disease resistance quantitative trait locus (QTL) regions, and five associations unmasked novel loci for PRR resistance. In addition, we also identified candidate genes related to resistance. This is the first P. sojae resistance evaluation conducted using the Chinese soybean mini core collection, which is a representative sample of Chinese soybean cultivars. The resistance reaction analyses provided an excellent database of resistant resources and genetic variations for future breeding programs. The SNP markers associated with resistance will facilitate marker-assisted selection (MAS) in breeding programs for resistance to PRR, and the candidate genes may be useful for exploring the mechanism underlying P. sojae resistance.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 24%
Student > Ph. D. Student 4 19%
Student > Doctoral Student 2 10%
Professor 2 10%
Student > Postgraduate 2 10%
Other 2 10%
Unknown 4 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 38%
Biochemistry, Genetics and Molecular Biology 4 19%
Environmental Science 1 5%
Computer Science 1 5%
Psychology 1 5%
Other 1 5%
Unknown 5 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 June 2016.
All research outputs
#6,006,577
of 7,921,887 outputs
Outputs from BMC Genetics
#476
of 678 outputs
Outputs of similar age
#183,927
of 262,461 outputs
Outputs of similar age from BMC Genetics
#32
of 46 outputs
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So far Altmetric has tracked 678 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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