Literature DB >> 21178307

QTL analysis for flowering time using backcross population between Oryza sativa Nipponbare and O. rufipogon.

Pham Thien Thanh1, Phuong Dang Thai Phan, Ryo Ishikawa, Takashige Ishii.   

Abstract

In the near future, global average temperature is expected to increase due to the accumulation of greenhouse gases, and increased temperatures will cause severe sterility in many crop species. In rice, since wild species show high genetic variation, they may have the potential to improve the flowering characters of cultivars. In this study, we investigated flowering characters under natural conditions by comparing an Asian wild rice accession of Oryza rufipogon W630 (originated from Myanmar) with a Japanese rice cultivar, O. sativa Japonica cv. Nipponbare. Further, QTL analysis for days to heading (DH) and spikelet opening time (SOT: the time of day when the spikelet opens) was carried out using BC(2)F(8) backcross population derived from the cross between them. Regarding DH, four QTLs were detected, and two of them were found to have wild alleles with strong effects leading to longer days to heading during the Japanese summer. These wild alleles may be used to produce late-heading cultivars that do not flower during the high summer temperatures anticipated in the future. As for SOT, two parameters of SOTb (beginning time when the first spikelet opens) and SOTm (median time when 50% of the spikelets open) were recorded and the time differences from Nipponbare were investigated. Two QTLs on chromosomes 5 and 10 and two QTLs on chromosomes 4 and 5 were detected for SOTb and SOTm, respectively. The wild alleles were responsible for early spikelet opening time at all loci. If the wild alleles detected in this study have the same effects in the genetic background of other cultivars, they will be very useful in producing early-flowering rice cultivars that complete fertilization in the morning before the temperature rises.

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Year:  2010        PMID: 21178307     DOI: 10.1266/ggs.85.273

Source DB:  PubMed          Journal:  Genes Genet Syst        ISSN: 1341-7568            Impact factor:   1.517


  10 in total

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Journal:  Theor Appl Genet       Date:  2022-06-17       Impact factor: 5.574

2.  Effect of quantitative trait loci for seed shattering on abscission layer formation in Asian wild rice Oryza rufipogon.

Authors:  Than Myint Htun; Chizuru Inoue; Orn Chhourn; Takashige Ishii; Ryo Ishikawa
Journal:  Breed Sci       Date:  2014-09-01       Impact factor: 2.086

3.  qEMF3, a novel QTL for the early-morning flowering trait from wild rice, Oryza officinalis, to mitigate heat stress damage at flowering in rice, O. sativa.

Authors:  Hideyuki Hirabayashi; Kazuhiro Sasaki; Takashi Kambe; Ritchel B Gannaban; Monaliza A Miras; Merlyn S Mendioro; Eliza V Simon; Patrick D Lumanglas; Daisuke Fujita; Yoko Takemoto-Kuno; Yoshinobu Takeuchi; Ryota Kaji; Motohiko Kondo; Nobuya Kobayashi; Tsugufumi Ogawa; Ikuo Ando; Krishna S V Jagadish; Tsutomu Ishimaru
Journal:  J Exp Bot       Date:  2014-12-22       Impact factor: 6.992

4.  Mapping quantitative trait loci for heat tolerance at anthesis in rice using chromosomal segment substitution lines.

Authors:  Lei Zhao; Jianguo Lei; Yingjin Huang; Shan Zhu; Hongping Chen; Renliang Huang; Zhiqin Peng; Qinghua Tu; Xianhua Shen; Song Yan
Journal:  Breed Sci       Date:  2016-05-20       Impact factor: 2.086

5.  Is early morning flowering an effective trait to minimize heat stress damage during flowering in rice?

Authors:  Raju Bheemanahalli; Rajendran Sathishraj; Muthukumar Manoharan; H N Sumanth; Raveendran Muthurajan; Tsutomo Ishimaru; Jagadish S V Krishna
Journal:  Field Crops Res       Date:  2017-03-01       Impact factor: 5.224

6.  Neural Net Classification Combined With Movement Analysis to Evaluate Setaria viridis as a Model System for Time of Day of Anther Appearance.

Authors:  Jigar S Desai; Erin Slabaugh; Donna J Liebelt; Jacob D Fredenberg; Benjamin N Gray; S V Krishna Jagadish; Olivia Wilkins; Colleen J Doherty
Journal:  Front Plant Sci       Date:  2018-10-31       Impact factor: 5.753

7.  Assessment of genetic diversity and genetic structure of wild rice populations in Myanmar.

Authors:  Rieko Shishido; Masahiro Akimoto; Tin Htut; Tadashi Sato; Takashige Ishii
Journal:  Breed Sci       Date:  2019-07-11       Impact factor: 2.086

8.  Genome wide screening and comparative genome analysis for Meta-QTLs, ortho-MQTLs and candidate genes controlling yield and yield-related traits in rice.

Authors:  Bahman Khahani; Elahe Tavakol; Vahid Shariati; Fabio Fornara
Journal:  BMC Genomics       Date:  2020-04-10       Impact factor: 3.969

9.  QTL Mapping and Identification of Candidate Genes for Heat Tolerance at the Flowering Stage in Rice.

Authors:  Lei Chen; Qiang Wang; Maoyan Tang; Xiaoli Zhang; Yinghua Pan; Xinghai Yang; Guoqing Gao; Ronghua Lv; Wei Tao; Ligeng Jiang; Tianfeng Liang
Journal:  Front Genet       Date:  2021-01-22       Impact factor: 4.599

Review 10.  Implications of High Temperature and Elevated CO2 on Flowering Time in Plants.

Authors:  S V Krishna Jagadish; Rajeev N Bahuguna; Maduraimuthu Djanaguiraman; Rico Gamuyao; P V Vara Prasad; Peter Q Craufurd
Journal:  Front Plant Sci       Date:  2016-06-27       Impact factor: 5.753

  10 in total

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