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Genetic architecture of variation in heading date among Asian rice accessions

Overview of attention for article published in BMC Plant Biology, May 2015
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Title
Genetic architecture of variation in heading date among Asian rice accessions
Published in
BMC Plant Biology, May 2015
DOI 10.1186/s12870-015-0501-x
Pubmed ID
Authors

Kiyosumi Hori, Yasunori Nonoue, Nozomi Ono, Taeko Shibaya, Kaworu Ebana, Kazuki Matsubara, Eri Ogiso-Tanaka, Takanari Tanabata, Kazuhiko Sugimoto, Fumio Taguchi-Shiobara, Jun-ichi Yonemaru, Ritsuko Mizobuchi, Yusaku Uga, Atsunori Fukuda, Tadamasa Ueda, Shin-ichi Yamamoto, Utako Yamanouchi, Toshiyuki Takai, Takashi Ikka, Katsuhiko Kondo, Tomoki Hoshino, Eiji Yamamoto, Shunsuke Adachi, Hideki Nagasaki, Ayahiko Shomura, Takehiko Shimizu, Izumi Kono, Sachie Ito, Tatsumi Mizubayashi, Noriyuki Kitazawa, Kazufumi Nagata, Tsuyu Ando, Shuichi Fukuoka, Toshio Yamamoto, Masahiro Yano

Abstract

Heading date, a crucial factor determining regional and seasonal adaptation in rice (Oryza sativa L.), has been a major selection target in breeding programs. Although considerable progress has been made in our understanding of the molecular regulation of heading date in rice during last two decades, the previously isolated genes and identified quantitative trait loci (QTLs) cannot fully explain the natural variation for heading date in diverse rice accessions. To genetically dissect naturally occurring variation in rice heading date, we collected QTLs in advanced-backcross populations derived from multiple crosses of the japonica rice accession Koshihikari (as a common parental line) with 11 diverse rice accessions (5 indica, 3 aus, and 3 japonica) that originate from various regions of Asia. QTL analyses of over 14,000 backcrossed individuals revealed 255 QTLs distributed widely across the rice genome. Among the detected QTLs, 128 QTLs corresponded to genomic positions of heading date genes identified by previous studies, such as Hd1, Hd6, Hd3a, Ghd7, DTH8, and RFT1. The other 127 QTLs were detected in different chromosomal regions than heading date genes. Our results indicate that advanced-backcross progeny allowed us to detect and confirm QTLs with relatively small additive effects, and the natural variation in rice heading date could result from combinations of large- and small-effect QTLs. We also found differences in the genetic architecture of heading date (flowering time) among maize, Arabidopsis, and rice.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Philippines 1 2%
Sri Lanka 1 2%
Unknown 57 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 25%
Student > Master 10 17%
Student > Ph. D. Student 9 15%
Student > Doctoral Student 3 5%
Student > Bachelor 3 5%
Other 7 12%
Unknown 12 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 69%
Biochemistry, Genetics and Molecular Biology 4 7%
Environmental Science 2 3%
Business, Management and Accounting 1 2%
Unknown 11 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 09 May 2015.
All research outputs
#15,333,503
of 22,805,349 outputs
Outputs from BMC Plant Biology
#1,485
of 3,244 outputs
Outputs of similar age
#156,892
of 264,541 outputs
Outputs of similar age from BMC Plant Biology
#30
of 54 outputs
Altmetric has tracked 22,805,349 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 3,244 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,541 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.