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Mapping and validation of major quantitative trait loci for kernel length in wild barley (Hordeum vulgare ssp. spontaneum)

Overview of attention for article published in BMC Genomic Data, September 2016
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Title
Mapping and validation of major quantitative trait loci for kernel length in wild barley (Hordeum vulgare ssp. spontaneum)
Published in
BMC Genomic Data, September 2016
DOI 10.1186/s12863-016-0438-6
Pubmed ID
Authors

Hong Zhou, Shihang Liu, Yujiao Liu, Yaxi Liu, Jing You, Mei Deng, Jian Ma, Guangdeng Chen, Yuming Wei, Chunji Liu, Youliang Zheng

Abstract

Kernel length is an important target trait in barley (Hordeum vulgare L.) breeding programs. However, the number of known quantitative trait loci (QTLs) controlling kernel length is limited. In the present study, we aimed to identify major QTLs for kernel length, as well as putative candidate genes that might influence kernel length in wild barley. A recombinant inbred line (RIL) population derived from the barley cultivar Baudin (H. vulgare ssp. vulgare) and the long-kernel wild barley genotype Awcs276 (H.vulgare ssp. spontaneum) was evaluated at one location over three years. A high-density genetic linkage map was constructed using 1,832 genome-wide diversity array technology (DArT) markers, spanning a total of 927.07 cM with an average interval of approximately 0.49 cM. Two major QTLs for kernel length, LEN-3H and LEN-4H, were detected across environments and further validated in a second RIL population derived from Fleet (H. vulgare ssp. vulgare) and Awcs276. In addition, a systematic search of public databases identified four candidate genes and four categories of proteins related to LEN-3H and LEN-4H. This study establishes a fundamental research platform for genomic studies and marker-assisted selection, since LEN-3H and LEN-4H could be used for accelerating progress in barley breeding programs that aim to improve kernel length.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 25%
Student > Ph. D. Student 6 19%
Student > Master 6 19%
Student > Doctoral Student 2 6%
Professor 2 6%
Other 2 6%
Unknown 6 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 59%
Biochemistry, Genetics and Molecular Biology 4 13%
Environmental Science 2 6%
Medicine and Dentistry 1 3%
Unknown 6 19%
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 September 2016.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from BMC Genomic Data
#861
of 1,204 outputs
Outputs of similar age
#256,187
of 330,885 outputs
Outputs of similar age from BMC Genomic Data
#20
of 29 outputs
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So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.