Literature DB >> 33498523

Genetic Elucidation for Response of Flowering Time to Ambient Temperatures in Asian Rice Cultivars.

Kiyosumi Hori1, Daisuke Saisho2, Kazufumi Nagata1, Yasunori Nonoue1, Yukiko Uehara-Yamaguchi3, Asaka Kanatani3, Koka Shu1, Takashi Hirayama2, Jun-Ichi Yonemaru1, Shuichi Fukuoka1, Keiichi Mochida2,3,4.   

Abstract

Climate resilience of crops is critical for global food security. Understanding the genetic basis of plant responses to ambient environmental changes is key to developing resilient crops. To detect genetic factors that set flowering time according to seasonal temperature conditions, we evaluated differences of flowering time over years by using chromosome segment substitution lines (CSSLs) derived from japonica rice cultivars "Koshihikari" × "Khao Nam Jen", each with different robustness of flowering time to environmental fluctuations. The difference of flowering times in 9 years' field tests was large in "Khao Nam Jen" (36.7 days) but small in "Koshihikari" (9.9 days). Part of this difference was explained by two QTLs. A CSSL with a "Khao Nam Jen" segment on chromosome 11 showed 28.0 days' difference; this QTL would encode a novel flowering-time gene. Another CSSL with a segment from "Khao Nam Jen" in the region around Hd16 on chromosome 3 showed 23.4 days" difference. A near-isogenic line (NIL) for Hd16 showed 21.6 days' difference, suggesting Hd16 as a candidate for this QTL. RNA-seq analysis showed differential expression of several flowering-time genes between early and late flowering seasons. Low-temperature treatment at panicle initiation stage significantly delayed flowering in the CSSL and NIL compared with "Koshihikari". Our results unravel the molecular control of flowering time under ambient temperature fluctuations.

Entities:  

Keywords:  ambient temperature fluctuation; chromosome segment substitution line (CSSL); flowering time; quantitative trait locus (QTL); rice

Mesh:

Substances:

Year:  2021        PMID: 33498523      PMCID: PMC7864171          DOI: 10.3390/ijms22031024

Source DB:  PubMed          Journal:  Int J Mol Sci        ISSN: 1422-0067            Impact factor:   5.923


  35 in total

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2.  SnapShot: Control of flowering in Arabidopsis.

Authors:  Fabio Fornara; Amaury de Montaigu; George Coupland
Journal:  Cell       Date:  2010-04-30       Impact factor: 41.582

Review 3.  Remembering winter through vernalisation.

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Journal:  Nat Plants       Date:  2018-11-26       Impact factor: 15.793

Review 4.  Fine-tuning timing: natural variation informs the mechanistic basis of the switch to flowering in Arabidopsis thaliana.

Authors:  R H Bloomer; C Dean
Journal:  J Exp Bot       Date:  2017-11-28       Impact factor: 6.992

5.  Genomic adaptation of flowering-time genes during the expansion of rice cultivation area.

Authors:  Hironori Itoh; Kaede C Wada; Hiroaki Sakai; Kyohei Shibasaki; Shuichi Fukuoka; Jianzhong Wu; Jun-Ichi Yonemaru; Masahiro Yano; Takeshi Izawa
Journal:  Plant J       Date:  2018-04-21       Impact factor: 6.417

Review 6.  Daylength measurements by rice plants in photoperiodic short-day flowering.

Authors:  Takeshi Izawa
Journal:  Int Rev Cytol       Date:  2007

7.  Antagonistic Transcription Factor Complexes Modulate the Floral Transition in Rice.

Authors:  Vittoria Brambilla; Damiano Martignago; Daniela Goretti; Martina Cerise; Marc Somssich; Matteo de Rosa; Francesca Galbiati; Roshi Shrestha; Federico Lazzaro; Rüdiger Simon; Fabio Fornara
Journal:  Plant Cell       Date:  2017-10-17       Impact factor: 11.277

8.  CCT domain-containing genes in cereal crops: flowering time and beyond.

Authors:  Haiyang Liu; Xiangchun Zhou; Qiuping Li; Lei Wang; Yongzhong Xing
Journal:  Theor Appl Genet       Date:  2020-01-31       Impact factor: 5.699

9.  Recent Advances in Molecular Research in Rice: Agronomically Important Traits.

Authors:  Kiyosumi Hori; Matthew Shenton
Journal:  Int J Mol Sci       Date:  2020-08-19       Impact factor: 5.923

10.  Hd16, a gene for casein kinase I, is involved in the control of rice flowering time by modulating the day-length response.

Authors:  Kiyosumi Hori; Eri Ogiso-Tanaka; Kazuki Matsubara; Utako Yamanouchi; Kaworu Ebana; Masahiro Yano
Journal:  Plant J       Date:  2013-07-25       Impact factor: 6.417

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  3 in total

1.  Genetic Background Negates Improvements in Rice Flour Characteristics and Food Processing Properties Caused by a Mutant Allele of the PDIL1-1 Seed Storage Protein Gene.

Authors:  Kiyosumi Hori; Tomoya Okunishi; Kenji Nakamura; Ken Iijima; Masahiro Hagimoto; Katsuyuki Hayakawa; Koka Shu; Takashi Ikka; Hiroto Yamashita; Masanori Yamasaki; Yoshinobu Takeuchi; Shota Koyama; Yoshimasa Tsujii; Toshiaki Kayano; Takuro Ishii; Toshihiro Kumamaru; Yasushi Kawagoe; Toshio Yamamoto
Journal:  Rice (N Y)       Date:  2022-03-05       Impact factor: 4.783

Review 2.  Introgression Lines: Valuable Resources for Functional Genomics Research and Breeding in Rice (Oryza sativa L.).

Authors:  Bo Zhang; Ling Ma; Bi Wu; Yongzhong Xing; Xianjin Qiu
Journal:  Front Plant Sci       Date:  2022-04-26       Impact factor: 6.627

3.  Current Advances and Future Prospects for Molecular Research for Agronomically Important Traits in Rice.

Authors:  Kiyosumi Hori; Matthew Shenton
Journal:  Int J Mol Sci       Date:  2022-07-07       Impact factor: 6.208

  3 in total

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