Literature DB >> 31254025

High-resolution mapping of rachis nodes per rachis, a critical determinant of grain yield components in wheat.

Kai P Voss-Fels1,2, Gabriel Keeble-Gagnère3, Lee T Hickey1, Josquin Tibbits3, Sergej Nagornyy2, Matthew J Hayden3,4, Raj K Pasam3, Surya Kant3, Wolfgang Friedt2, Rod J Snowdon2, Rudi Appels5, Benjamin Wittkop6.   

Abstract

KEY MESSAGE: Exploring large genomic data sets based on the latest reference genome assembly identifies the rice ortholog APO1 as a key candidate gene for number of rachis nodes per spike in wheat. Increasing grain yield in wheat is a key breeding objective worldwide. Several component traits contribute to grain yield with spike attributes being among the most important. In this study, we performed a genome-wide association analysis for 12 grain yield and component traits measured in field trials with contrasting agrochemical input levels in a panel of 220 hexaploid winter wheats. A highly significant, environmentally consistent QTL was detected for number of rachis nodes per rachis (NRN) on chromosome 7AL. The five most significant SNPs formed a strong linkage disequilibrium (LD) block and tagged a 2.23 Mb region. Using pairwise LD for exome SNPs located across this interval in a large worldwide hexaploid wheat collection, we reduced the genomic region for NRN to a 258 Kb interval containing four of the original SNP and six high-confidence genes. The ortholog of one (TraesCS7A01G481600) of these genes in rice was ABBERANT PANICLE ORGANIZATION1 (APO1), which is known to have significant effects on panicle attributes. The APO1 ortholog was the best candidate for NRN and was associated with a 115 bp promoter deletion and two amino acid (C47F and D384 N) changes. Using a large worldwide collection of tetraploid and hexaploid wheat, we found 12 haplotypes for the NRN QTL and evidence for positive enrichment of two haplotypes in modern germplasm. Comparison of five QTL haplotypes in Australian yield trials revealed their relative, context-dependent contribution to grain yield. Our study provides diagnostic SNPs and value propositions to support deployment of the NRN trait in wheat breeding.

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Year:  2019        PMID: 31254025     DOI: 10.1007/s00122-019-03383-4

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


  28 in total

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Journal:  Genetics       Date:  1992-10       Impact factor: 4.562

2.  Haploview: analysis and visualization of LD and haplotype maps.

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Journal:  Bioinformatics       Date:  2004-08-05       Impact factor: 6.937

3.  Bread matters: a national initiative to profile the genetic diversity of Australian wheat.

Authors:  David Edwards; Stephen Wilcox; Roberto A Barrero; Delphine Fleury; Colin R Cavanagh; Kerrie L Forrest; Matthew J Hayden; Paula Moolhuijzen; Gabriel Keeble-Gagnère; Matthew I Bellgard; Michał T Lorenc; Catherine A Shang; Ute Baumann; Jennifer M Taylor; Matthew K Morell; Peter Langridge; Rudi Appels; Anna Fitzgerald
Journal:  Plant Biotechnol J       Date:  2012-06-09       Impact factor: 9.803

4.  OsSPL14 promotes panicle branching and higher grain productivity in rice.

Authors:  Kotaro Miura; Mayuko Ikeda; Atsushi Matsubara; Xian-Jun Song; Midori Ito; Kenji Asano; Makoto Matsuoka; Hidemi Kitano; Motoyuki Ashikari
Journal:  Nat Genet       Date:  2010-05-23       Impact factor: 38.330

5.  Cytokinin oxidase regulates rice grain production.

Authors:  Motoyuki Ashikari; Hitoshi Sakakibara; Shaoyang Lin; Toshio Yamamoto; Tomonori Takashi; Asuka Nishimura; Enrique R Angeles; Qian Qian; Hidemi Kitano; Makoto Matsuoka
Journal:  Science       Date:  2005-06-23       Impact factor: 47.728

6.  GenABEL: an R library for genome-wide association analysis.

Authors:  Yurii S Aulchenko; Stephan Ripke; Aaron Isaacs; Cornelia M van Duijn
Journal:  Bioinformatics       Date:  2007-03-23       Impact factor: 6.937

7.  Architecture of floral branch systems in maize and related grasses.

Authors:  Erik Vollbrecht; Patricia S Springer; Lindee Goh; Edward S Buckler; Robert Martienssen
Journal:  Nature       Date:  2005-07-24       Impact factor: 49.962

8.  Dissecting a wheat QTL for yield present in a range of environments: from the QTL to candidate genes.

Authors:  Sa Quarrie; S Pekic Quarrie; R Radosevic; D Rancic; A Kaminska; J D Barnes; M Leverington; C Ceoloni; D Dodig
Journal:  J Exp Bot       Date:  2006-07-10       Impact factor: 6.992

9.  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

10.  Recent patterns of crop yield growth and stagnation.

Authors:  Deepak K Ray; Navin Ramankutty; Nathaniel D Mueller; Paul C West; Jonathan A Foley
Journal:  Nat Commun       Date:  2012       Impact factor: 14.919

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  17 in total

1.  QTL mapping for grain yield-related traits in bread wheat via SNP-based selective genotyping.

Authors:  Li Yang; Dehui Zhao; Zili Meng; Kaijie Xu; Jun Yan; Xianchun Xia; Shuanghe Cao; Yubing Tian; Zhonghu He; Yong Zhang
Journal:  Theor Appl Genet       Date:  2019-12-16       Impact factor: 5.699

Review 2.  Crop adaptation to climate change as a consequence of long-term breeding.

Authors:  Rod J Snowdon; Benjamin Wittkop; Tsu-Wei Chen; Andreas Stahl
Journal:  Theor Appl Genet       Date:  2020-11-22       Impact factor: 5.699

3.  Identification of a candidate gene for a QTL for spikelet number per spike on wheat chromosome arm 7AL by high-resolution genetic mapping.

Authors:  Saarah Kuzay; Yunfeng Xu; Junli Zhang; Andrew Katz; Stephen Pearce; Zhenqi Su; Max Fraser; James A Anderson; Gina Brown-Guedira; Noah DeWitt; Amanda Peters Haugrud; Justin D Faris; Eduard Akhunov; Guihua Bai; Jorge Dubcovsky
Journal:  Theor Appl Genet       Date:  2019-06-28       Impact factor: 5.699

4.  TaAPO-A1, an ortholog of rice ABERRANT PANICLE ORGANIZATION 1, is associated with total spikelet number per spike in elite European hexaploid winter wheat (Triticum aestivum L.) varieties.

Authors:  Quddoos H Muqaddasi; Jonathan Brassac; Ravi Koppolu; Jörg Plieske; Martin W Ganal; Marion S Röder
Journal:  Sci Rep       Date:  2019-09-25       Impact factor: 4.379

5.  Transcripts of wheat at a target locus on chromosome 6B associated with increased yield, leaf mass and chlorophyll index under combined drought and heat stress.

Authors:  Jessica Schmidt; Melissa Garcia; Chris Brien; Priyanka Kalambettu; Trevor Garnett; Delphine Fleury; Penny J Tricker
Journal:  PLoS One       Date:  2020-11-09       Impact factor: 3.240

6.  Identification and Validation of a Novel Locus Controlling Spikelet Number in Bread Wheat (Triticum aestivum L.).

Authors:  Tao Li; Guangbing Deng; Yanyan Tang; Yan Su; Jinhui Wang; Jie Cheng; Zhao Yang; Xuebing Qiu; Xi Pu; Haili Zhang; Junjun Liang; Maoqun Yu; Yuming Wei; Hai Long
Journal:  Front Plant Sci       Date:  2021-02-26       Impact factor: 5.753

7.  Identification of eight QTL controlling multiple yield components in a German multi-parental wheat population, including Rht24, WAPO-A1, WAPO-B1 and genetic loci on chromosomes 5A and 6A.

Authors:  Beatrice Corsi; Lia Obinu; Camila M Zanella; Saverio Cutrupi; Rob Day; Manuel Geyer; Morten Lillemo; Min Lin; Lorenzo Mazza; Lawrence Percival-Alwyn; Melanie Stadlmeier; Volker Mohler; Lorenz Hartl; James Cockram
Journal:  Theor Appl Genet       Date:  2021-03-12       Impact factor: 5.699

8.  Genome-wide association study reveals the genetic basis of yield- and quality-related traits in wheat.

Authors:  Le Gao; Chengsheng Meng; Tengfei Yi; Ke Xu; Huiwen Cao; Shuhua Zhang; Xueju Yang; Yong Zhao
Journal:  BMC Plant Biol       Date:  2021-03-19       Impact factor: 4.215

9.  Linkage mapping identifies a non-synonymous mutation in FLOWERING LOCUS T (FT-B1) increasing spikelet number per spike.

Authors:  Jonathan Brassac; Quddoos H Muqaddasi; Jörg Plieske; Martin W Ganal; Marion S Röder
Journal:  Sci Rep       Date:  2021-01-15       Impact factor: 4.379

10.  The wheat AGL6-like MADS-box gene is a master regulator for floral organ identity and a target for spikelet meristem development manipulation.

Authors:  Xingchen Kong; Fang Wang; Shuaifeng Geng; Jiantao Guan; Shu Tao; Meiling Jia; Guoliang Sun; Zhenyu Wang; Ke Wang; Xingguo Ye; Jian Ma; Dengcai Liu; Yuming Wei; Youliang Zheng; Xiangdong Fu; Long Mao; Xiujin Lan; Aili Li
Journal:  Plant Biotechnol J       Date:  2021-10-02       Impact factor: 9.803

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