Literature DB >> 22718301

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

Matthew W Blair1, Paulo Izquierdo.   

Abstract

Iron deficiency anemia and zinc deficiency are major health concerns across the world and can be addressed by biofortification breeding of higher mineral concentration in staple crops, such as common bean. Wild common beans have for the most part had higher average seed mineral concentration than cultivars of this species but have small un-commercial seeds. A logical approach for the transfer of the seed mineral trait from wild beans to cultivated beans is through the advanced backcross breeding approach. The goal of this study was to analyze a population of 138 BC(2)F(3:5) introgression lines derived from the very high iron wild genotype G10022 backcrossed into the genetic background of the commercial-type variety 'Cerinza', a large-red seeded bush bean cultivar of the Andean genepool. In addition to measuring seed mineral accumulation traits and the quantitative trait loci (QTL) controlling these traits we were interested in simultaneously testing the adaptation of the introgression lines in two replicated yield trials. We found the cross to have high polymorphism and constructed an anchored microsatellite map for the population that was 1,554-cM long and covered all 11 linkage groups of the common bean genome. Through composite interval mapping (CIM) and single point analysis (SPA), we identified associations of markers and mineral traits on b01, b06, b07, b08, b10 and b11 for seed iron concentration, and markers on b01, b04 and b10 for seed zinc concentration. The b07 and b08 QTL aligned with previous QTL for iron concentration. A large number of QTL were found for seed weight (9 with CIM and 36 with SPA analysis) and correlations between seed size and mineral content affected the identification of iron and zinc contents' QTL on many linkage groups. Segregation distortion around domestication genes made some areas difficult to introgress. However, in conclusion, the advanced backcross program produced some introgression lines with high mineral accumulation traits using a wild donor parent.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22718301     DOI: 10.1007/s00122-012-1891-x

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


  24 in total

1.  QTL for seed iron and zinc concentration and content in a Mesoamerican common bean (Phaseolus vulgaris L.) population.

Authors:  Matthew W Blair; Juliana I Medina; Carolina Astudillo; Judith Rengifo; Steve E Beebe; Gloria Machado; Robin Graham
Journal:  Theor Appl Genet       Date:  2010-06-09       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.  QTL analysis of yield traits in an advanced backcross population derived from a cultivated Andean x wild common bean (Phaseolus vulgaris L.) cross.

Authors:  M W Blair; G Iriarte; S Beebe
Journal:  Theor Appl Genet       Date:  2006-01-24       Impact factor: 5.699

4.  Genetic mapping of a new set of microsatellite markers in a reference common bean (Phaseolus vulgaris) population BAT93 x Jalo EEP558.

Authors:  M C M Grisi; M W Blair; P Gepts; C Brondani; P A A Pereira; R P V Brondani
Journal:  Genet Mol Res       Date:  2007-09-30

5.  Genetic dissection and pyramiding of quantitative traits for panicle architecture by using chromosomal segment substitution lines in rice.

Authors:  Tsuyu Ando; Toshio Yamamoto; Takehiko Shimizu; Xiu Fang Ma; Ayahiko Shomura; Yoshinobu Takeuchi; Shao Yang Lin; Masahiro Yano
Journal:  Theor Appl Genet       Date:  2008-02-15       Impact factor: 5.699

6.  Extended map for the phaseolin linkage group ofPhaseolus vulgaris L.

Authors:  C E Vallejos; C D Chase
Journal:  Theor Appl Genet       Date:  1991-09       Impact factor: 5.699

7.  Development of microsatellite markers for common bean (Phaseolus vulgaris L.) based on screening of non-enriched, small-insert genomic libraries.

Authors:  Matthew W Blair; Monica Muñoz Torres; Fabio Pedraza; Martha C Giraldo; Hector F Buendía; Natalia Hurtado
Journal:  Genome       Date:  2009-09       Impact factor: 2.166

Review 8.  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

9.  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

10.  Gene-based SSR markers for common bean (Phaseolus vulgaris L.) derived from root and leaf tissue ESTs: an integration of the BMc series.

Authors:  Matthew W Blair; Natalia Hurtado; Carolina M Chavarro; Monica C Muñoz-Torres; Martha C Giraldo; Fabio Pedraza; Jeff Tomkins; Rod Wing
Journal:  BMC Plant Biol       Date:  2011-03-22       Impact factor: 4.215

View more
  20 in total

Review 1.  Genetics- and genomics-based interventions for nutritional enhancement of grain legume crops: status and outlook.

Authors:  Abhishek Bohra; Kanwar L Sahrawat; Shiv Kumar; Rohit Joshi; Ashok K Parihar; Ummed Singh; Deepak Singh; Narendra P Singh
Journal:  J Appl Genet       Date:  2015-01-16       Impact factor: 3.240

2.  Marker association study of yield attributing traits in common bean (Phaseolus vulgaris L.).

Authors:  Nancy Gupta; Sajad Majeed Zargar; Ravinder Singh; Muslima Nazir; Reetika Mahajan; R K Salgotra
Journal:  Mol Biol Rep       Date:  2020-08-27       Impact factor: 2.316

3.  Genome-wide association study for grain mineral content in a Brazilian common bean diversity panel.

Authors:  Jessica Delfini; Vânia Moda-Cirino; José Dos Santos Neto; Douglas Mariani Zeffa; Alison Fernando Nogueira; Luriam Aparecida Brandão Ribeiro; Paulo Maurício Ruas; Paul Gepts; Leandro Simões Azeredo Gonçalves
Journal:  Theor Appl Genet       Date:  2021-05-24       Impact factor: 5.699

4.  A legume biofortification quandary: variability and genetic control of seed coat micronutrient accumulation in common beans.

Authors:  Matthew W Blair; Paulo Izquierdo; Carolina Astudillo; Michael A Grusak
Journal:  Front Plant Sci       Date:  2013-07-29       Impact factor: 5.753

Review 5.  Review: The potential of the common bean (Phaseolus vulgaris) as a vehicle for iron biofortification.

Authors:  Nicolai Petry; Erick Boy; James P Wirth; Richard F Hurrell
Journal:  Nutrients       Date:  2015-02-11       Impact factor: 5.717

Review 6.  Potential Uses of Wild Germplasms of Grain Legumes for Crop Improvement.

Authors:  Nacira Muñoz; Ailin Liu; Leo Kan; Man-Wah Li; Hon-Ming Lam
Journal:  Int J Mol Sci       Date:  2017-02-04       Impact factor: 5.923

Review 7.  Iron homeostasis in plants - a brief overview.

Authors:  James M Connorton; Janneke Balk; Jorge Rodríguez-Celma
Journal:  Metallomics       Date:  2017-07-19       Impact factor: 4.526

8.  Common Bean Fe Biofortification Using Model Species' Lessons.

Authors:  Raul A Sperotto; Felipe K Ricachenevsky
Journal:  Front Plant Sci       Date:  2017-12-22       Impact factor: 5.753

9.  Meta-QTL analysis of seed iron and zinc concentration and content in common bean (Phaseolus vulgaris L.).

Authors:  Paulo Izquierdo; Carolina Astudillo; Matthew W Blair; Asif M Iqbal; Bodo Raatz; Karen A Cichy
Journal:  Theor Appl Genet       Date:  2018-05-11       Impact factor: 5.699

10.  Studies of Cream Seeded Carioca Beans (Phaseolus vulgaris L.) from a Rwandan Efficacy Trial: In Vitro and In Vivo Screening Tools Reflect Human Studies and Predict Beneficial Results from Iron Biofortified Beans.

Authors:  Elad Tako; Spenser Reed; Amrutha Anandaraman; Steve E Beebe; Jonathan J Hart; Raymond P Glahn
Journal:  PLoS One       Date:  2015-09-18       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.