Literature DB >> 24913362

Genetic and molecular bases of yield-associated traits: a translational biology approach between rice and wheat.

Ravi Valluru1, Matthew P Reynolds, Jerome Salse.   

Abstract

Transferring the knowledge bases between related species may assist in enlarging the yield potential of crop plants. Being cereals, rice and wheat share a high level of gene conservation; however, they differ at metabolic levels as a part of the environmental adaptation resulting in different yield capacities. This review focuses on the current understanding of genetic and molecular regulation of yield-associated traits in both crop species, highlights the similarities and differences and presents the putative knowledge gaps. We focus on the traits associated with phenology, photosynthesis, and assimilate partitioning and lodging resistance; the most important drivers of yield potential. Currently, there are large knowledge gaps in the genetic and molecular control of such major biological processes that can be filled in a translational biology approach in transferring genomics and genetics informations between rice and wheat.

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Year:  2014        PMID: 24913362     DOI: 10.1007/s00122-014-2332-9

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


  271 in total

1.  OsPNH1 regulates leaf development and maintenance of the shoot apical meristem in rice.

Authors:  Asuka Nishimura; Momoyo Ito; Noriko Kamiya; Yutaka Sato; Makoto Matsuoka
Journal:  Plant J       Date:  2002-04       Impact factor: 6.417

2.  Identification of quantitative trait Loci for lipid metabolism in rice seeds.

Authors:  Jie-Zheng Ying; Jun-Xiang Shan; Ji-Ping Gao; Mei-Zhen Zhu; Min Shi; Hong-Xuan Lin
Journal:  Mol Plant       Date:  2011-12-06       Impact factor: 13.164

3.  Transcriptional profiling of wheat caryopsis development using cDNA microarrays.

Authors:  Debbie L Laudencia-Chingcuanco; Boryana S Stamova; Frank M You; Gerard R Lazo; Diane M Beckles; Olin D Anderson
Journal:  Plant Mol Biol       Date:  2007-01-09       Impact factor: 4.076

4.  Evolutionary switch and genetic convergence on rbcL following the evolution of C4 photosynthesis.

Authors:  Pascal-Antoine Christin; Nicolas Salamin; A Muthama Muasya; Eric H Roalson; Flavien Russier; Guillaume Besnard
Journal:  Mol Biol Evol       Date:  2008-08-11       Impact factor: 16.240

5.  Rice Chlorina-1 and Chlorina-9 encode ChlD and ChlI subunits of Mg-chelatase, a key enzyme for chlorophyll synthesis and chloroplast development.

Authors:  Haitao Zhang; Jinjie Li; Jeong-Hoon Yoo; Soo-Cheul Yoo; Sung-Hwan Cho; Hee-Jong Koh; Hak Soo Seo; Nam-Chon Paek
Journal:  Plant Mol Biol       Date:  2006-08-17       Impact factor: 4.076

6.  Genetic and physiological architecture of early vigor in Aegilops tauschii, the D-genome donor of hexaploid wheat. A quantitative trait loci analysis.

Authors:  Margreet W ter Steege; Franka M den Ouden; Hans Lambers; Piet Stam; Anton J M Peeters
Journal:  Plant Physiol       Date:  2005-09-23       Impact factor: 8.340

7.  Targeted re-sequencing of the allohexaploid wheat exome.

Authors:  Mark O Winfield; Paul A Wilkinson; Alexandra M Allen; Gary L A Barker; Jane A Coghill; Amanda Burridge; Anthony Hall; Rachael C Brenchley; Rosalinda D'Amore; Neil Hall; Michael W Bevan; Todd Richmond; Daniel J Gerhardt; Jeffrey A Jeddeloh; Keith J Edwards
Journal:  Plant Biotechnol J       Date:  2012-06-18       Impact factor: 9.803

8.  Intron-mediated alternative splicing of Arabidopsis P5CS1 and its association with natural variation in proline and climate adaptation.

Authors:  Ravi Kesari; Jesse R Lasky; Joji Grace Villamor; David L Des Marais; Ying-Jiun C Chen; Tzu-Wen Liu; Wendar Lin; Thomas E Juenger; Paul E Verslues
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-21       Impact factor: 11.205

9.  Engineering OsBAK1 gene as a molecular tool to improve rice architecture for high yield.

Authors:  Dan Li; Lei Wang; Min Wang; Yun-Yuan Xu; Wei Luo; Ya-Ju Liu; Zhi-Hong Xu; Jia Li; Kang Chong
Journal:  Plant Biotechnol J       Date:  2009-10       Impact factor: 9.803

10.  Identification and characterization of a QTL on chromosome 2 for cytosolic glutamine synthetase content and panicle number in rice.

Authors:  Mitsuhiro Obara; Tadashi Sato; Shohei Sasaki; Kenji Kashiba; Atsushi Nagano; Ikuo Nakamura; Takeshi Ebitani; Masahiro Yano; Tomoyuki Yamaya
Journal:  Theor Appl Genet       Date:  2004-11-10       Impact factor: 5.699

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  16 in total

1.  Considering causal genes in the genetic dissection of kernel traits in common wheat.

Authors:  Volker Mohler; Theresa Albrecht; Adelheid Castell; Manuela Diethelm; Günther Schweizer; Lorenz Hartl
Journal:  J Appl Genet       Date:  2016-04-23       Impact factor: 3.240

2.  Development and validation of KASP assays for genes underpinning key economic traits in bread wheat.

Authors:  Awais Rasheed; Weie Wen; Fengmei Gao; Shengnan Zhai; Hui Jin; Jindong Liu; Qi Guo; Yingjun Zhang; Susanne Dreisigacker; Xianchun Xia; Zhonghu He
Journal:  Theor Appl Genet       Date:  2016-06-15       Impact factor: 5.699

Review 3.  From markers to genome-based breeding in wheat.

Authors:  Awais Rasheed; Xianchun Xia
Journal:  Theor Appl Genet       Date:  2019-01-23       Impact factor: 5.699

4.  TaFlo2-A1, an ortholog of rice Flo2, is associated with thousand grain weight in bread wheat (Triticum aestivum L.).

Authors:  Muhammad Sajjad; Xiaoling Ma; Sultan Habibullah Khan; Muhammad Shoaib; Yanhong Song; Wenlong Yang; Aimin Zhang; Dongcheng Liu
Journal:  BMC Plant Biol       Date:  2017-10-16       Impact factor: 4.215

5.  Combined Genomic and Genetic Data Integration of Major Agronomical Traits in Bread Wheat (Triticum aestivum L.).

Authors:  Umar M Quraishi; Caroline Pont; Qurat-Ul Ain; Raphael Flores; Laura Burlot; Michael Alaux; Hadi Quesneville; Jerome Salse
Journal:  Front Plant Sci       Date:  2017-11-14       Impact factor: 5.753

6.  QTL mapping and comparative genome analysis of agronomic traits including grain yield in winter rye.

Authors:  Bernd Hackauf; Stefan Haffke; Franz Joachim Fromme; Steffen R Roux; Barbara Kusterer; Dörthe Musmann; Andrzej Kilian; Thomas Miedaner
Journal:  Theor Appl Genet       Date:  2017-05-31       Impact factor: 5.699

7.  Genetic analysis of multi-environmental spring wheat trials identifies genomic regions for locus-specific trade-offs for grain weight and grain number.

Authors:  Sivakumar Sukumaran; Marta Lopes; Susanne Dreisigacker; Matthew Reynolds
Journal:  Theor Appl Genet       Date:  2017-12-07       Impact factor: 5.699

Review 8.  Advanced phenotyping and phenotype data analysis for the study of plant growth and development.

Authors:  Md Matiur Rahaman; Dijun Chen; Zeeshan Gillani; Christian Klukas; Ming Chen
Journal:  Front Plant Sci       Date:  2015-08-10       Impact factor: 5.753

9.  Analysis of main effect QTL for thousand grain weight in European winter wheat (Triticum aestivum L.) by genome-wide association mapping.

Authors:  Christine D Zanke; Jie Ling; Jörg Plieske; Sonja Kollers; Erhard Ebmeyer; Viktor Korzun; Odile Argillier; Gunther Stiewe; Maike Hinze; Felix Neumann; Andrea Eichhorn; Andreas Polley; Cornelia Jaenecke; Martin W Ganal; Marion S Röder
Journal:  Front Plant Sci       Date:  2015-09-01       Impact factor: 5.753

10.  Genome-wide association for grain yield under rainfed conditions in historical wheat cultivars from Pakistan.

Authors:  Qurat-Ul Ain; Awais Rasheed; Alia Anwar; Tariq Mahmood; Muhammad Imtiaz; Tariq Mahmood; Xianchun Xia; Zhonghu He; Umar M Quraishi
Journal:  Front Plant Sci       Date:  2015-09-22       Impact factor: 5.753

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