Literature DB >> 16432734

QTL analysis of yield traits in an advanced backcross population derived from a cultivated Andean x wild common bean (Phaseolus vulgaris L.) cross.

M W Blair1, G Iriarte, S Beebe.   

Abstract

Advanced backcross QTL analysis was used to identify quantitative trait loci (QTL) for agronomic performance in a population of BC2F(3:5) introgression lines created from the cross of a Colombian large red-seeded commercial cultivar, ICA Cerinza, and a wild common bean accession, G24404. A total of 157 lines were evaluated for phenological traits, plant architecture, seed weight, yield and yield components in replicated trials in three environments in Colombia and genotyped with microsatellite, SCAR, and phaseolin markers that were used to create a genetic map that covered all 11 linkage groups of the common bean genome with markers spaced at an average distance of every 10.4 cM. Segregation distortion was most significant in regions orthologous for a seed coat color locus (R-C) on linkage group b08 and two domestication syndrome genes, one on linkage group b01 at the determinacy (fin) locus and the other on linkage group b02 at the seed-shattering (st) locus. Composite interval mapping analysis identified a total of 41 significant QTL for the eight traits measured of which five for seed weight, two for days to flowering, and one for yield were consistent across two or more environments. QTL were located on every linkage group with b06 showing the greatest number of independent loci. A total of 13 QTL for plant height, yield and yield components along with a single QTL for seed size showed positive alleles from the wild parent while the remaining QTL showed positive alleles from the cultivated parent. Some QTL co-localized with regions that had previously been described to be important for these traits. Compensation was observed between greater pod and seed production and smaller seed size and may have resulted from QTL for these traits being linked or pleiotropic. Although wild beans have been used before to transfer biotic stress resistance traits, this study is the first to attempt to simultaneously obtain a higher yield potential from wild beans and to analyze this trait with single-copy markers. The wild accession was notable for being from a unique center of diversity and for contributing positive alleles for yield and other traits to the introgression lines showing the potential that advanced backcrossing has in common bean improvement.

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Year:  2006        PMID: 16432734     DOI: 10.1007/s00122-006-0217-2

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


  18 in total

1.  Structure and level of genetic diversity in various bean types evidenced with microsatellite markers isolated from a genomic enriched library.

Authors:  I. Métais; B. Hamon; R. Jalouzot; D. Peltier
Journal:  Theor Appl Genet       Date:  2002-05-08       Impact factor: 5.699

2.  Development of a genome-wide anchored microsatellite map for common bean (Phaseolus vulgaris L.).

Authors:  M W Blair; F Pedraza; H F Buendia; E Gaitán-Solís; S E Beebe; P Gepts; J Tohme
Journal:  Theor Appl Genet       Date:  2003-09-20       Impact factor: 5.699

3.  Advanced backcross QTL analysis: a method for the simultaneous discovery and transfer of valuable QTLs from unadapted germplasm into elite breeding lines.

Authors:  S D Tanksley; J C Nelson
Journal:  Theor Appl Genet       Date:  1996-02       Impact factor: 5.699

4.  Mitochondrial restriction fragment length polymorphisms in wild Phaseolus vulgaris L.: insights on the domestication of the common bean.

Authors:  M M Khairallah; B B Sears; M W Adams
Journal:  Theor Appl Genet       Date:  1992-09       Impact factor: 5.699

Review 5.  Seed banks and molecular maps: unlocking genetic potential from the wild.

Authors:  S D Tanksley; S R McCouch
Journal:  Science       Date:  1997-08-22       Impact factor: 47.728

6.  Nucleotide sequence of an alpha-phaseolin gene from Phaseolus vulgaris.

Authors:  J L Anthony; R A Vonder Haar; T C Hall
Journal:  Nucleic Acids Res       Date:  1990-06-11       Impact factor: 16.971

7.  Domestication patterns in common bean (Phaseolus vulgaris L.) and the origin of the Mesoamerican and Andean cultivated races.

Authors:  M I Chacón S; B Pickersgill; D G Debouck
Journal:  Theor Appl Genet       Date:  2005-01-18       Impact factor: 5.699

8.  Identification of presumed ancestral DNA sequences of phaseolin in Phaseolus vulgaris.

Authors:  J Kami; V B Velásquez; D G Debouck; P Gepts
Journal:  Proc Natl Acad Sci U S A       Date:  1995-02-14       Impact factor: 11.205

9.  Identifying resistance gene analogs associated with resistances to different pathogens in common bean.

Authors:  Camilo E López; Iván F Acosta; Carlos Jara; Fabio Pedraza; Eliana Gaitán-Solís; Gerardo Gallego; Steve Beebe; Joe Tohme
Journal:  Phytopathology       Date:  2003-01       Impact factor: 4.025

10.  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

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  55 in total

1.  Use of the advanced backcross-QTL method to transfer seed mineral accumulation nutrition traits from wild to Andean cultivated common beans.

Authors:  Matthew W Blair; Paulo Izquierdo
Journal:  Theor Appl Genet       Date:  2012-06-21       Impact factor: 5.699

2.  Nucleotide diversity patterns at the drought-related DREB2 encoding genes in wild and cultivated common bean (Phaseolus vulgaris L.).

Authors:  Andrés J Cortés; Dominique This; Carolina Chavarro; Santiago Madriñán; Matthew W Blair
Journal:  Theor Appl Genet       Date:  2012-07-08       Impact factor: 5.699

3.  Effectiveness of in situ and ex situ conservation of crop diversity. What a Phaseolus vulgaris L. landrace case study can tell us.

Authors:  Valeria Negri; Barbara Tiranti
Journal:  Genetica       Date:  2010-09-11       Impact factor: 1.082

4.  QTL analyses for seed iron and zinc concentrations in an intra-genepool population of Andean common beans (Phaseolus vulgaris L.).

Authors:  Matthew W Blair; Carohna Astudillo; Judith Rengifo; Steve E Beebe; Robin Graham
Journal:  Theor Appl Genet       Date:  2010-11-27       Impact factor: 5.699

5.  Nucleotide diversity of a genomic sequence similar to SHATTERPROOF (PvSHP1) in domesticated and wild common bean (Phaseolus vulgaris L.).

Authors:  L Nanni; E Bitocchi; E Bellucci; M Rossi; D Rau; G Attene; P Gepts; R Papa
Journal:  Theor Appl Genet       Date:  2011-08-10       Impact factor: 5.699

6.  Development of a near-isogenic line population of Arabidopsis thaliana and comparison of mapping power with a recombinant inbred line population.

Authors:  Joost J B Keurentjes; Leónie Bentsink; Carlos Alonso-Blanco; Corrie J Hanhart; Hetty Blankestijn-De Vries; Sigi Effgen; Dick Vreugdenhil; Maarten Koornneef
Journal:  Genetics       Date:  2006-12-18       Impact factor: 4.562

7.  Characterization of AT-rich microsatellites in common bean (Phaseolus vulgaris L.).

Authors:  Mathew W Blair; Hector F Buendía; Martha C Giraldo; Isabelle Métais; Didier Peltier
Journal:  Theor Appl Genet       Date:  2008-09-11       Impact factor: 5.699

8.  Linkage disequilibrium based association mapping of micronutrients in common bean (Phaseolus vulgaris L.): a collection of Jammu & Kashmir, India.

Authors:  Reetika Mahajan; Sajad Majeed Zargar; R K Salgotra; Ravinder Singh; Aijaz Ahmad Wani; Muslima Nazir; Parvaze A Sofi
Journal:  3 Biotech       Date:  2017-08-30       Impact factor: 2.406

9.  Mapping of QTLs for morpho-agronomic and seed quality traits in a RIL population of common bean (Phaseolus vulgaris L.).

Authors:  Elena Pérez-Vega; Astrid Pañeda; Cristina Rodríguez-Suárez; Ana Campa; Ramón Giraldez; Juan José Ferreira
Journal:  Theor Appl Genet       Date:  2010-01-19       Impact factor: 5.699

10.  Genetic dissection and fine mapping of a novel dt gene associated with determinate growth habit in sesame.

Authors:  Yanxin Zhang; Linhai Wang; Yuan Gao; Donghua Li; Jingyin Yu; Rong Zhou; Xiurong Zhang
Journal:  BMC Genet       Date:  2018-06-14       Impact factor: 2.797

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