Literature DB >> 35244733

Genotyping-by-sequencing and genome-wide association study reveal genetic diversity and loci controlling agronomic traits in triticale.

Dong Cao1,2,3,4, Dongxia Wang5, Shiming Li1,2, Yun Li1,2,3, Ming Hao6, Baolong Liu7,8,9,10.   

Abstract

KEY MESSAGE: The genetic diversity and loci underlying agronomic traits were analyzed by the reads coverage and genome-wide association study based genotyping-by-sequencing in a diverse population consisting of 199 accessions. Triticale (× Triticosecale Wittmack) is an economically important grain forage and energy crop planted worldwide for its high biomass. Little is known about the genetic diversity and loci underlying agronomic traits in triticale. We performed genotyping-by-sequencing of 199 cultivars and mapped reads to the A, B, D, and R genomes for karyotype analysis. These cultivars could mostly be grouped into five types. Some chromosome abnormalities occurred with high frequency, such as 2D (2R) substitution, deletion of the long arm of chromosome 2D or the short arm of 5R, and translocation of the long arms of 7D/7A, the short arms of 6D/6A, or the long arms of 1D/1A. We chose only widely planted hexaploid triticale cultivars (153) for genome-wide association study. These cultivars could be divided into nine distinct groups, and the linkage disequilibrium decay was 25.4 kb in this population. We identified 253 significant marker-trait associations (MTAs) on 20 chromosomes, except 7R. Twenty-one reliable MTAs were identified repeatedly over two environments. We predicted 16 putative candidate genes involved in plant growth and development using the genome sequences of wheat and rye. These results provide a basis for understanding the genetic mechanisms of agronomic traits and will benefit the breeding of improved hexaploid triticale.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Year:  2022        PMID: 35244733     DOI: 10.1007/s00122-022-04064-5

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


  40 in total

1.  Loss of chromosomes 2R and 5RS in octoploid triticale selected for agronomic traits.

Authors:  Zhi-Jun Cheng; Minoru Murata
Journal:  Genes Genet Syst       Date:  2002-02       Impact factor: 1.517

2.  Multiple-line cross QTL mapping for biomass yield and plant height in triticale (× Triticosecale Wittmack).

Authors:  Katharina V Alheit; Lucas Busemeyer; Wenxin Liu; Hans Peter Maurer; Manje Gowda; Volker Hahn; Sigrid Weissmann; Arno Ruckelshausen; Jochen C Reif; Tobias Würschum
Journal:  Theor Appl Genet       Date:  2013-10-31       Impact factor: 5.699

3.  Fast model-based estimation of ancestry in unrelated individuals.

Authors:  David H Alexander; John Novembre; Kenneth Lange
Journal:  Genome Res       Date:  2009-07-31       Impact factor: 9.043

4.  Simultaneous genotype calling and haplotype phasing improves genotype accuracy and reduces false-positive associations for genome-wide association studies.

Authors:  Brian L Browning; Zhaoxia Yu
Journal:  Am J Hum Genet       Date:  2009-12       Impact factor: 11.025

5.  Flavonoid accumulation in Arabidopsis repressed in lignin synthesis affects auxin transport and plant growth.

Authors:  Sébastien Besseau; Laurent Hoffmann; Pierrette Geoffroy; Catherine Lapierre; Brigitte Pollet; Michel Legrand
Journal:  Plant Cell       Date:  2007-01-19       Impact factor: 11.277

6.  A GBS-based GWAS analysis of adaptability and yield traits in bread wheat (Triticum aestivum L.).

Authors:  Saba Akram; Mian Abdur Rehman Arif; Amjad Hameed
Journal:  J Appl Genet       Date:  2020-10-30       Impact factor: 3.240

7.  Increased pericarp cell length underlies a major quantitative trait locus for grain weight in hexaploid wheat.

Authors:  Jemima Brinton; James Simmonds; Francesca Minter; Michelle Leverington-Waite; John Snape; Cristobal Uauy
Journal:  New Phytol       Date:  2017-06-02       Impact factor: 10.151

8.  Detection of segregation distortion loci in triticale (x Triticosecale Wittmack) based on a high-density DArT marker consensus genetic linkage map.

Authors:  Katharina V Alheit; Jochen C Reif; Hans Peter Maurer; Volker Hahn; Elmar A Weissmann; Thomas Miedaner; Tobias Würschum
Journal:  BMC Genomics       Date:  2011-07-28       Impact factor: 3.969

9.  Bin-based genome-wide association studies reveal superior alleles for improvement of appearance quality using a 4-way MAGIC population in rice.

Authors:  Mohammed Ayaad; Zhongmin Han; Kou Zheng; Gang Hu; Mahmoud Abo-Yousef; Sobeih El S Sobeih; Yongzhong Xing
Journal:  J Adv Res       Date:  2020-08-11       Impact factor: 10.479

10.  Identification of QTLs associated with seedling root traits and their correlation with plant height in wheat.

Authors:  Caihong Bai; Yinli Liang; Malcolm J Hawkesford
Journal:  J Exp Bot       Date:  2013-04       Impact factor: 6.992

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