Literature DB >> 20224891

Genetic diversity, inter-gene pool introgression and nutritional quality of common beans (Phaseolus vulgaris L.) from Central Africa.

Matthew W Blair1, Laura F González, Paul M Kimani, Louis Butare.   

Abstract

The Great Lakes region of Central Africa is a major producer of common beans in Africa. The region is known for high population density and small average farm size. The common bean represents the most important legume crop of the region, grown on over a third of the cultivated land area, and the per capita consumption is among the highest in the world for the food crop. The objective of this study was to evaluate the genetic diversity in a collection of 365 genotypes from the Great Lakes region of Central Africa, including a large group of landraces from Rwanda as well as varieties from primary centers of diversity and from neighboring countries of Central Africa, such as the Democratic Republic of Congo and Uganda, using 30 fluorescently labeled microsatellite markers and automated allele detection. In addition, the landraces were evaluated for their seed iron and zinc concentration to determine if genetic diversity influenced nutritional quality. Principal coordinate and neighbor-joining analyses allowed the separation of the landraces into 132 Andean and 195 Mesoamerican (or Middle American) genotypes with 32 landraces and 6 varieties intermediate between the gene pools and representing inter-gene pool introgression in terms of seed characteristics and alleles. Genetic diversity and the number of alleles were high for the collection, reflecting the preference for a wide range of seed types in the region and no strong commercial class preference, although red, red mottled and brown seeded beans were common. Observed heterozygosity was also high and may be explained by the common practice of maintaining seed and plant mixtures, a coping strategy practiced by Central African farmers to reduce the effects of abiotic and biotic stresses. Finally, nutritional quality differed between the gene pools with respect to seed iron and zinc concentration, while genotypes from the intermediate group were notably high in both minerals. In conclusion, this study has shown that Central African varieties of common bean are a source of wide genetic diversity with variable nutritional quality that can be used in crop improvement programs for the region.

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Year:  2010        PMID: 20224891      PMCID: PMC2886139          DOI: 10.1007/s00122-010-1305-x

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


  14 in total

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Authors:  F M Amirul Islam; S Beebe; M Muñoz; J Tohme; R J Redden; K E Basford
Journal:  Theor Appl Genet       Date:  2003-12-05       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.  PowerMarker: an integrated analysis environment for genetic marker analysis.

Authors:  Kejun Liu; Spencer V Muse
Journal:  Bioinformatics       Date:  2005-02-10       Impact factor: 6.937

4.  Microsatellite marker diversity in common bean (Phaseolus vulgaris L.).

Authors:  M W Blair; M C Giraldo; H F Buendía; E Tovar; M C Duque; S E Beebe
Journal:  Theor Appl Genet       Date:  2006-04-14       Impact factor: 5.699

5.  Development, characterization, and comparative analysis of polymorphism at common bean SSR loci isolated from genic and genomic sources.

Authors:  Luiz Ricardo Hanai; Tatiana de Campos; Luis Eduardo Aranha Camargo; Luciana Lasry Benchimol; Anete Pereira de Souza; Maeli Melotto; Sérgio Augusto Moraes Carbonell; Alisson Fernando Chioratto; Luciano Consoli; Eduardo Fernando Formighieri; Marcos Vinícius Bohrer Monteiro Siqueira; Siu Mui Tsai; Maria Lucia Carneiro Vieira
Journal:  Genome       Date:  2007-03       Impact factor: 2.166

6.  Genetic diversity of Chinese common bean (Phaseolus vulgaris L.) landraces assessed with simple sequence repeat markers.

Authors:  Xiaoyan Zhang; Matthew W Blair; Shumin Wang
Journal:  Theor Appl Genet       Date:  2008-06-12       Impact factor: 5.699

7.  Genetic diversity and population structure of common bean (Phaseolus vulgaris L.) landraces from the East African highlands.

Authors:  Asrat Asfaw; Matthew W Blair; Conny Almekinders
Journal:  Theor Appl Genet       Date:  2009-09-16       Impact factor: 5.699

8.  Microsatellite characterization of Andean races of common bean (Phaseolus vulgaris L.).

Authors:  M W Blair; J M Díaz; R Hidalgo; L M Díaz; M C Duque
Journal:  Theor Appl Genet       Date:  2007-10-09       Impact factor: 5.699

9.  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

10.  Mitochondrial DNA polymorphisms of Malawian bean lines: further evidence for two major gene pools.

Authors:  M M Khairallah; M W Adams; B B Sears
Journal:  Theor Appl Genet       Date:  1990-12       Impact factor: 5.699

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  25 in total

1.  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

2.  Studies on nutritional and functional properties of various genotypes of Andean beans.

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Journal:  J Food Sci Technol       Date:  2021-07-02       Impact factor: 2.701

3.  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

4.  Variation and inheritance of iron reductase activity in the roots of common bean (Phaseolus vulgaris L.) and association with seed iron accumulation QTL.

Authors:  Matthew W Blair; Sharon Jb Knewtson; Carolina Astudillo; Chee-Ming Li; Andrea C Fernandez; Michael A Grusak
Journal:  BMC Plant Biol       Date:  2010-10-05       Impact factor: 4.215

5.  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

6.  Assessing nutritional diversity of cropping systems in African villages.

Authors:  Roseline Remans; Dan F B Flynn; Fabrice DeClerck; Willy Diru; Jessica Fanzo; Kaitlyn Gaynor; Isabel Lambrecht; Joseph Mudiope; Patrick K Mutuo; Phelire Nkhoma; David Siriri; Clare Sullivan; Cheryl A Palm
Journal:  PLoS One       Date:  2011-06-16       Impact factor: 3.240

7.  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

8.  Investigation of Genotype by Environment Interactions for Seed Zinc and Iron Concentration and Iron Bioavailability in Common Bean.

Authors:  Dennis N Katuuramu; Jason A Wiesinger; Gabriel B Luyima; Stanley T Nkalubo; Raymond P Glahn; Karen A Cichy
Journal:  Front Plant Sci       Date:  2021-05-10       Impact factor: 5.753

9.  Development and application of microsatellites in candidate genes related to wood properties in the Chinese white poplar (Populus tomentosa Carr.).

Authors:  Qingzhang Du; Chenrui Gong; Wei Pan; Deqiang Zhang
Journal:  DNA Res       Date:  2012-12-04       Impact factor: 4.458

10.  Transcriptome Characterization of Developing Bean (Phaseolus vulgaris L.) Pods from Two Genotypes with Contrasting Seed Zinc Concentrations.

Authors:  Carolina Astudillo-Reyes; Andrea C Fernandez; Karen A Cichy
Journal:  PLoS One       Date:  2015-09-14       Impact factor: 3.240

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