Literature DB >> 36070104

Mapping QTLs for yield and photosynthesis-related traits in three consecutive backcross populations of Oryza sativa cultivar Cottondora Sannalu (MTU1010) and Oryza rufipogon.

Venkateswara Rao Yadavalli1, Divya Balakrishnan1,2, Malathi Surapaneni1, Krishnamraju Addanki1, Sukumar Mesapogu1, Kavitha Beerelli1, Subrahmanyam Desiraju3, Sitapati Rao Voleti3, Sarla Neelamraju4.   

Abstract

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CONCLUSION: Identification of trait enhancing QTLs for yield and photosynthesis-related traits in rice using interspecific mapping population and chromosome segment substitution lines derived from a cross between Oryza sativa and Oryza rufipogon. Wild rice contains novel genes which can help in improving rice yield. Common wild rice Oryza rufipogon is a known source for enhanced photosynthesis and yield-related traits. We developed BC2F2:3:4 mapping populations using O. rufipogon IC309814 with high photosynthetic rate as donor, and elite cultivar MTU1010 as recurrent parent. Evaluation of 238 BC2F2 families for 13 yield-related traits and 208 BC2F2 families for seven photosynthesis-related physiological traits resulted in identification of significantly different lines which performed better than MTU1010 for various yield contributing traits. 49 QTLs were identified for 13 yield traits and 7 QTLs for photosynthesis-related traits in BC2F2. In addition, 34 QTLs in BC2F3 and 26 QTLs in BC2F4 were also detected for yield traits.11 common QTLs were identified in three consecutive generations and their trait-increasing alleles were derived from O. rufipogon. Significantly, one major effect common QTL qTGW3.1 for thousand grain weight with average phenotypic variance 8.1% and one novel QTL qBM7.1 for biomass were identified. Photosynthesis-related QTLs qPN9.1, qPN12.1, qPN12.2 qSPAD1.1 and qSPAD6.1 showed additive effect from O. rufipogon. A set of 145 CSSLs were identified in BC2F2 which together represented 87% of O. rufipogon genome. In addition, 87 of the 145 CSSLs were significantly different than MTU1010 for at least one trait. The major effect QTLs can be fine mapped for gene discovery. CSSLs developed in this study are a good source of novel alleles from O. rufipogon in the background of Cottondora Sannalu for rapid improvement of any trait in rice.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  BILs; CSSLs; Oryza rufipogon; Photosynthesis; QTLs; Wild rice; Yield

Mesh:

Year:  2022        PMID: 36070104     DOI: 10.1007/s00425-022-03983-3

Source DB:  PubMed          Journal:  Planta        ISSN: 0032-0935            Impact factor:   4.540


  38 in total

1.  Fine mapping of a major QTL for flag leaf width in rice, qFLW4, which might be caused by alternative splicing of NAL1.

Authors:  Mingliang Chen; Ju Luo; Gaoneng Shao; Xiangjin Wei; Shaoqing Tang; Zhonghua Sheng; Jian Song; Peisong Hu
Journal:  Plant Cell Rep       Date:  2011-12-18       Impact factor: 4.570

Review 2.  Natural genetic variation in plant photosynthesis.

Authors:  Pádraic J Flood; Jeremy Harbinson; Mark G M Aarts
Journal:  Trends Plant Sci       Date:  2011-03-23       Impact factor: 18.313

3.  Quantitative trait loci for rice yield-related traits using recombinant inbred lines derived from two diverse cultivars.

Authors:  Xu Feng Bai; Li Jun Luo; Wen Hao Yan; Mallikarjuna Rao Kovi; Yong Zhong Xing
Journal:  J Genet       Date:  2011-08       Impact factor: 1.166

4.  Two new genomes in the Oryza complex identified on the basis of molecular divergence analysis using total genomic DNA hybridization.

Authors:  R K Aggarwal; D S Brar; G S Khush
Journal:  Mol Gen Genet       Date:  1997-03-18

5.  Genetic identification of quantitative trait loci for contents of mineral nutrients in rice grain.

Authors:  Ana Luisa Garcia-Oliveira; Lubin Tan; Yongcai Fu; Chuanqing Sun
Journal:  J Integr Plant Biol       Date:  2009-01       Impact factor: 7.061

6.  Identification and characterization of genomic regions on chromosomes 4 and 8 that control the rate of photosynthesis in rice leaves.

Authors:  Shunsuke Adachi; Yukiko Tsuru; Naoko Nito; Kazumasa Murata; Toshio Yamamoto; Takeshi Ebitani; Taiichiro Ookawa; Tadashi Hirasawa
Journal:  J Exp Bot       Date:  2011-02-04       Impact factor: 6.992

7.  Development and evaluation of chromosome segment substitution lines (CSSLs) carrying chromosome segments derived from Oryza rufipogon in the genetic background of Oryza sativa L.

Authors:  Tomoyuki Furuta; Kanako Uehara; Rosalyn B Angeles-Shim; Junghyun Shim; Motoyuki Ashikari; Tomonori Takashi
Journal:  Breed Sci       Date:  2014-03-01       Impact factor: 2.086

8.  Development and GBS-genotyping of introgression lines (ILs) using two wild species of rice, O. meridionalis and O. rufipogon, in a common recurrent parent, O. sativa cv. Curinga.

Authors:  Juan D Arbelaez; Laura T Moreno; Namrata Singh; Chih-Wei Tung; Lyza G Maron; Yolima Ospina; César P Martinez; Cécile Grenier; Mathias Lorieux; Susan McCouch
Journal:  Mol Breed       Date:  2015-02-14       Impact factor: 2.589

9.  Fine Mapping of Carbon Assimilation Rate 8, a Quantitative Trait Locus for Flag Leaf Nitrogen Content, Stomatal Conductance and Photosynthesis in Rice.

Authors:  Shunsuke Adachi; Kazuaki Yoshikawa; Utako Yamanouchi; Takanari Tanabata; Jian Sun; Taiichiro Ookawa; Toshio Yamamoto; Rowan F Sage; Tadashi Hirasawa; Junichi Yonemaru
Journal:  Front Plant Sci       Date:  2017-01-31       Impact factor: 5.753

10.  Introgression of two chromosome regions for leaf photosynthesis from an indica rice into the genetic background of a japonica rice.

Authors:  Shunsuke Adachi; Leticia Z Baptista; Tomohiro Sueyoshi; Kazumasa Murata; Toshio Yamamoto; Takeshi Ebitani; Taiichiro Ookawa; Tadashi Hirasawa
Journal:  J Exp Bot       Date:  2014-03-03       Impact factor: 6.992

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