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Integrated RNA Sequencing and QTL Mapping to Identify Candidate Genes from Oryza rufipogon Associated with Salt Tolerance at the Seedling Stage

Overview of attention for article published in Frontiers in Plant Science, August 2017
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Title
Integrated RNA Sequencing and QTL Mapping to Identify Candidate Genes from Oryza rufipogon Associated with Salt Tolerance at the Seedling Stage
Published in
Frontiers in Plant Science, August 2017
DOI 10.3389/fpls.2017.01427
Pubmed ID
Authors

Shanshan Wang, Meng Cao, Xin Ma, Weikang Chen, Jie Zhao, Chuanqing Sun, Lubin Tan, Fengxia Liu

Abstract

Soil salinity is a common abiotic stress affecting crop productivity. To identify favorable alleles from wild rice (Oryza rufipogon Griff.) that enhance salinity tolerance of rice (O. sativa L.), a set of introgression lines (ILs) were developed. The ILs were derived from an O. rufipogon accession collected from Chaling (Hunan Province, China) as the donor, and a widely grown O. sativa indica cultivar 93-11 as the recipient. Through evaluating the salt tolerance of 285 ILs at the seedling stage, a total of 10 quantitative trait loci (QTLs) related to salt tolerance were identified on chromosomes 1, 5, 7 and 9-12, with individual QTLs explaining 2-8% of phenotypic variance. The O. rufipogon-derived alleles at four QTLs improved salt tolerance in the 93-11 background. At the same time, a salt-tolerant IL, 9L136, was identified and characterized. Compared with the recipient parent 93-11, a total of 1,391 differentially expressed genes (DEGs) were detected specifically in 9L136 between salt stress and normal condition through genome-wide expression analysis. Of these, four DEGs located in the QTL regions carried by 9L136, suggesting that the four genes might be candidates associated with salt tolerance. Both the highly salt-tolerant ILs and the favorable O. rufipogon-derived QTLs identified in the present study will provide new genetic resources for improving the resistance of cultivated rice against salinity stress using molecular breeding strategies in the future.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 28%
Researcher 8 14%
Student > Master 8 14%
Student > Bachelor 3 5%
Student > Doctoral Student 3 5%
Other 7 12%
Unknown 13 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 59%
Biochemistry, Genetics and Molecular Biology 6 10%
Business, Management and Accounting 1 2%
Immunology and Microbiology 1 2%
Physics and Astronomy 1 2%
Other 1 2%
Unknown 14 24%
Attention Score in Context

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 19 September 2017.
All research outputs
#18,569,430
of 22,999,744 outputs
Outputs from Frontiers in Plant Science
#13,957
of 20,492 outputs
Outputs of similar age
#242,641
of 316,577 outputs
Outputs of similar age from Frontiers in Plant Science
#374
of 496 outputs
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