Literature DB >> 24170005

Tagging and mapping the thermo-sensitive genic male-sterile gene in rice (Oryza sativa L.) with molecular markers.

B Wang1, W W Xu, J Z Wang, W Wu, H G Zheng, Z Y Yang, J D Ray, H T Nguyen.   

Abstract

The thermo-sensititve genic male-sterile (TGMS) gene in rice can alter fertility in response to temperature and is useful in the two-line system of hybrid rice production. However, little is known about the TGMS gene at the molecular level. The objective of this study was to identify molecular markers tightly linked with the TGMS gene and to map the gene onto a specific rice chromosome. Bulked segregant analysis of an F2 population from 5460s (a TGMS mutant line) x 'Hong Wan 52' was used to identify RAPD markers linked to the rice TGMS gene. Four hundred RAPD primers were screened for polymorphisms between the parents and between two bulks representing fertile and sterile plants; of these, 4 primers produced polymorphic products. Most of the polymorphic fragments contained repetitive sequences. Only one singlecopy sequence fragment was found, a 1.2-kb fragment amplified by primer OPB-19 and subsequently named TGMS1.2. TGMS1.2 was mapped on chromosome 8 with a RIL population and confirmed by remapping with a DHL population. Segregation analysis using TGMS1.2 as a probe indicated that TGMS1.2 both consegregated and was lined with the TGMS gene in this population. It is located about 6.7 cM from the TGMS gene. As TGMS1.2 is linked to the TGMS gene, the TGMS gene must be located on chromosome 8.

Entities:  

Year:  1995        PMID: 24170005     DOI: 10.1007/BF00223928

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  6 in total

1.  Identification of markers linked to disease-resistance genes by bulked segregant analysis: a rapid method to detect markers in specific genomic regions by using segregating populations.

Authors:  R W Michelmore; I Paran; R V Kesseli
Journal:  Proc Natl Acad Sci U S A       Date:  1991-11-01       Impact factor: 11.205

2.  DNA polymorphisms amplified by arbitrary primers are useful as genetic markers.

Authors:  J G Williams; A R Kubelik; K J Livak; J A Rafalski; S V Tingey
Journal:  Nucleic Acids Res       Date:  1990-11-25       Impact factor: 16.971

3.  A 300 kilobase interval genetic map of rice including 883 expressed sequences.

Authors:  N Kurata; Y Nagamura; K Yamamoto; Y Harushima; N Sue; J Wu; B A Antonio; A Shomura; T Shimizu; S Y Lin
Journal:  Nat Genet       Date:  1994-12       Impact factor: 38.330

4.  RFLP mapping of genes conferring complete and partial resistance to blast in a durably resistant rice cultivar.

Authors:  G L Wang; D J Mackill; J M Bonman; S R McCouch; M C Champoux; R J Nelson
Journal:  Genetics       Date:  1994-04       Impact factor: 4.562

5.  Molecular mapping of rice chromosomes.

Authors:  S R McCouch; G Kochert; Z H Yu; Z Y Wang; G S Khush; W R Coffman; S D Tanksley
Journal:  Theor Appl Genet       Date:  1988-12       Impact factor: 5.699

6.  MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations.

Authors:  E S Lander; P Green; J Abrahamson; A Barlow; M J Daly; S E Lincoln; L A Newberg; L Newburg
Journal:  Genomics       Date:  1987-10       Impact factor: 5.736

  6 in total
  19 in total

1.  Fine mapping of the rice thermo-sensitive genic male-sterile gene tms5.

Authors:  Y G Wang; Q H Xing; Q Y Deng; F S Liang; L P Yuan; M L Weng; B Wang
Journal:  Theor Appl Genet       Date:  2003-06-25       Impact factor: 5.699

2.  Genetic analyses and mapping of a new thermo-sensitive genic male sterile gene in maize.

Authors:  J H Tang; Z Y Fu; Y M Hu; J S Li; L L Sun; H Q Ji
Journal:  Theor Appl Genet       Date:  2006-05-11       Impact factor: 5.699

3.  Characterization and identification of the candidate gene of rice thermo-sensitive genic male sterile gene tms5 by mapping.

Authors:  Qingkai Yang; Chunyang Liang; Wen Zhuang; Jun Li; Huabing Deng; Qiyun Deng; Bin Wang
Journal:  Planta       Date:  2006-08-02       Impact factor: 4.116

4.  Characterization of a novel thermosensitive restorer of fertility for cytoplasmic male sterility in maize.

Authors:  Susan Gabay-Laughnan; Evgeny V Kuzmin; Jessica Monroe; Leah Roark; Kathleen J Newton
Journal:  Genetics       Date:  2009-03-02       Impact factor: 4.562

5.  Fine mapping and candidate gene prediction of the photoperiod and thermo-sensitive genic male sterile gene pms1(t) in rice.

Authors:  Yuan-fei Zhou; Xian-yin Zhang; Qing-zhong Xue
Journal:  J Zhejiang Univ Sci B       Date:  2011-06       Impact factor: 3.066

6.  Fine mapping and candidate gene analysis of the novel thermo-sensitive genic male sterility tms9-1 gene in rice.

Authors:  Yongbin Qi; Qinglong Liu; Lin Zhang; Bizeng Mao; Dawei Yan; Qingsheng Jin; Zuhua He
Journal:  Theor Appl Genet       Date:  2014-03-12       Impact factor: 5.699

7.  Photoperiod- and thermo-sensitive genic male sterility in rice are caused by a point mutation in a novel noncoding RNA that produces a small RNA.

Authors:  Hai Zhou; Qinjian Liu; Jing Li; Dagang Jiang; Lingyan Zhou; Ping Wu; Sen Lu; Feng Li; Liya Zhu; Zhenlan Liu; Letian Chen; Yao-Guang Liu; Chuxiong Zhuang
Journal:  Cell Res       Date:  2012-02-21       Impact factor: 25.617

Review 8.  Genetic and molecular characterization of photoperiod and thermo-sensitive male sterility in rice.

Authors:  Yourong Fan; Qifa Zhang
Journal:  Plant Reprod       Date:  2017-11-02       Impact factor: 3.767

9.  Fine mapping of a gene for non-pollen type thermosensitive genic male sterility in rice (Oryza sativa L.).

Authors:  H F Peng; X H Chen; Y P Lu; Y F Peng; B H Wan; N D Chen; B Wu; S P Xin; G Q Zhang
Journal:  Theor Appl Genet       Date:  2009-12-11       Impact factor: 5.699

10.  Molecular mapping of two reverse photoperiod-sensitive genic male sterility genes (rpms1 and rpms2) in rice (Oryza sativa L.).

Authors:  H F Peng; Z F Zhang; B Wu; X H Chen; G Q Zhang; Z M Zhang; B H Wan; Y P Lu
Journal:  Theor Appl Genet       Date:  2008-09-23       Impact factor: 5.699

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