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Combining QTL-seq and linkage mapping to fine map a wild soybean allele characteristic of greater plant height

Overview of attention for article published in BMC Genomics, March 2018
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Title
Combining QTL-seq and linkage mapping to fine map a wild soybean allele characteristic of greater plant height
Published in
BMC Genomics, March 2018
DOI 10.1186/s12864-018-4582-4
Pubmed ID
Authors

Xiaoli Zhang, Wubin Wang, Na Guo, Youyi Zhang, Yuanpeng Bu, Jinming Zhao, Han Xing

Abstract

Plant height (PH) is an important agronomic trait and is closely related to yield in soybean [Glycine max (L.) Merr.]. Previous studies have identified many QTLs for PH. Due to the complex genetic background of PH in soybean, there are few reports on its fine mapping. In this study, we used a mapping population derived from a cross between a chromosome segment substitution line CSSL3228 (donor N24852 (G. Soja), a receptor NN1138-2 (G. max)) and NN1138-2 to fine map a wild soybean allele of greater PH by QTL-seq and linkage mapping. We identified a QTL for PH in a 1.73 Mb region on soybean chromosome 13 through QTL-seq, which was confirmed by SSR marker-based classical QTL mapping in the mapping population. The linkage analysis showed that the QTLs of PH were located between the SSR markers BARCSOYSSR_13_1417 and BARCSOYSSR_13_1421 on chromosome 13, and the physical distance was 69.3 kb. RT-PCR and sequence analysis of possible candidate genes showed that Glyma.13 g249400 revealed significantly higher expression in higher PH genotypes, and the gene existed 6 differences in the amino acids encoding between the two parents. Data presented here provide support for Glyma.13 g249400 as a possible candidate genes for higher PH in wild soybean line N24852.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Ph. D. Student 7 15%
Student > Master 6 13%
Student > Bachelor 4 9%
Student > Doctoral Student 3 7%
Other 3 7%
Unknown 14 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 50%
Biochemistry, Genetics and Molecular Biology 5 11%
Environmental Science 1 2%
Physics and Astronomy 1 2%
Medicine and Dentistry 1 2%
Other 0 0%
Unknown 15 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 February 2022.
All research outputs
#14,478,822
of 23,202,641 outputs
Outputs from BMC Genomics
#5,727
of 10,725 outputs
Outputs of similar age
#187,696
of 330,362 outputs
Outputs of similar age from BMC Genomics
#108
of 217 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,725 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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We're also able to compare this research output to 217 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.