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Genomic and Transcriptomic Analysis Identified Gene Clusters and Candidate Genes for Oil Content in Peanut (Arachis hypogaea L.)

Overview of attention for article published in Plant Molecular Biology Reporter, June 2018
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Title
Genomic and Transcriptomic Analysis Identified Gene Clusters and Candidate Genes for Oil Content in Peanut (Arachis hypogaea L.)
Published in
Plant Molecular Biology Reporter, June 2018
DOI 10.1007/s11105-018-1088-9
Pubmed ID
Authors

Xiaohua Wang, Ping Xu, Liang Yin, Yan Ren, Shuangling Li, Yanmao Shi, Thomas D. Alcock, Qing Xiong, Wei Qian, Xiaoyuan Chi, Manish K. Pandey, Rajeev K. Varshney, Mei Yuan

Abstract

Peanut (Arachis hypogaea), a major source of vegetable oil in many Asian countries, has become an integral part of human diet globally due to its high nutritional properties and option to consume in different forms. In order to meet the demand of vegetable oil, many peanut breeding programs of China have intensified their efforts in increasing oil content in newly bred varieties for reducing the import of edible oils in China. In this context, transcriptome sequencing data generated on 49 peanut cultivars were analyzed to identify candidate genes and develop molecular markers for seed oil content across multiple environments. Transcriptome analysis identified 5458 differentially expressed genes (DEGs) including 2243 positive DEGs and 3215 negative DEGs involved in oil synthesis process. Genome-wide association study identified 48 significant insertion/deletion (InDel) markers associated with seed oil content across five environments. A comparative genomics and transcriptomics analysis detected a total of 147 common gene clusters located in 17 chromosomes. Interestingly, an InDel cluster associated with seed oil content on A03 chromosome was detected in three different environments. Candidate genes identified on A03 form a haplotype, in which variable alleles were found to be different in oil content in an independent population. This locus is important for understanding the genetic control of peanut oil content and may be useful for marker-assisted selection in peanut breeding programs.

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Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 28%
Researcher 4 13%
Student > Bachelor 2 6%
Professor 2 6%
Professor > Associate Professor 2 6%
Other 2 6%
Unknown 11 34%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 44%
Biochemistry, Genetics and Molecular Biology 4 13%
Engineering 2 6%
Business, Management and Accounting 1 3%
Unknown 11 34%
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 14 August 2018.
All research outputs
#15,539,088
of 23,094,276 outputs
Outputs from Plant Molecular Biology Reporter
#263
of 356 outputs
Outputs of similar age
#209,389
of 328,765 outputs
Outputs of similar age from Plant Molecular Biology Reporter
#4
of 5 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 356 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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