Meta-QTL analysis of seed iron and zinc concentration and content in common bean (Phaseolus vulgaris L.)
Key message Twelve meta-QTL for seed Fe and Zn concentration and/or content were identified from 87 QTL originating from seven population grown in sixteen field trials. These meta-QTL include 2 specific to iron, 2 specific to zinc and 8 that co-localize for iron and zinc concentrations and/or conten...
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| Veröffentlicht in: | Theoretical and applied genetics 2018-08, Vol.131 (8), p.1645-1658 |
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| creator | Izquierdo, Paulo Astudillo, Carolina Blair, Matthew W. Iqbal, Asif M. Raatz, Bodo Cichy, Karen A. |
| description | Key message
Twelve meta-QTL for seed Fe and Zn concentration and/or content were identified from 87 QTL originating from seven population grown in sixteen field trials. These meta-QTL include 2 specific to iron, 2 specific to zinc and 8 that co-localize for iron and zinc concentrations and/or content.
Common bean (
Phaseolus vulgaris
L.) is the most important legume for human consumption worldwide and it is an important source of microelements, especially iron and zinc. Bean biofortification breeding programs develop new varieties with high levels of Fe and Zn targeted for countries with human micronutrient deficiencies. Biofortification efforts thus far have relied on phenotypic selection of raw seed mineral concentrations in advanced generations. While numerous quantitative trait loci (QTL) studies have been conducted to identify genomic regions associated with increased Fe and Zn concentration in seeds, these results have yet to be employed for marker-assisted breeding. The objective of this study was to conduct a meta-analysis from seven QTL studies in Andean and Middle American intra- and inter-gene pool populations to identify the regions in the genome that control the Fe and Zn levels in seeds. Two meta-QTL specific to Fe and two meta-QTL specific to Zn were identified. Additionally, eight Meta QTL that co-localized for Fe and Zn concentration and/or content were identified across seven chromosomes. The Fe and Zn shared meta-QTL could be useful candidates for marker-assisted breeding to simultaneously increase seed Fe and Zn. The physical positions for 12 individual meta-QTL were identified and within five of the meta-QTL, candidate genes were identified from six gene families that have been associated with transport of iron and zinc in plants. |
| doi_str_mv | 10.1007/s00122-018-3104-8 |
| format | Article |
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Twelve meta-QTL for seed Fe and Zn concentration and/or content were identified from 87 QTL originating from seven population grown in sixteen field trials. These meta-QTL include 2 specific to iron, 2 specific to zinc and 8 that co-localize for iron and zinc concentrations and/or content.
Common bean (
Phaseolus vulgaris
L.) is the most important legume for human consumption worldwide and it is an important source of microelements, especially iron and zinc. Bean biofortification breeding programs develop new varieties with high levels of Fe and Zn targeted for countries with human micronutrient deficiencies. Biofortification efforts thus far have relied on phenotypic selection of raw seed mineral concentrations in advanced generations. While numerous quantitative trait loci (QTL) studies have been conducted to identify genomic regions associated with increased Fe and Zn concentration in seeds, these results have yet to be employed for marker-assisted breeding. The objective of this study was to conduct a meta-analysis from seven QTL studies in Andean and Middle American intra- and inter-gene pool populations to identify the regions in the genome that control the Fe and Zn levels in seeds. Two meta-QTL specific to Fe and two meta-QTL specific to Zn were identified. Additionally, eight Meta QTL that co-localized for Fe and Zn concentration and/or content were identified across seven chromosomes. The Fe and Zn shared meta-QTL could be useful candidates for marker-assisted breeding to simultaneously increase seed Fe and Zn. The physical positions for 12 individual meta-QTL were identified and within five of the meta-QTL, candidate genes were identified from six gene families that have been associated with transport of iron and zinc in plants.</description><identifier>ISSN: 0040-5752</identifier><identifier>EISSN: 1432-2242</identifier><identifier>DOI: 10.1007/s00122-018-3104-8</identifier><identifier>PMID: 29752522</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Agriculture ; Biochemistry ; Biomedical and Life Sciences ; Biotechnology ; Breeding ; Chromosome Mapping ; Chromosomes ; Gene families ; Gene Pool ; Genetic aspects ; Genomes ; Genotype & phenotype ; Health aspects ; Iron ; Iron (Nutrient) ; Iron - analysis ; Legumes ; Life Sciences ; Nutritional aspects ; Original Article ; Phaseolus - genetics ; Phaseolus vulgaris ; Phenotype ; Plant Biochemistry ; Plant Breeding ; Plant Breeding/Biotechnology ; Plant Genetics and Genomics ; Quantitative Trait Loci ; Seeds ; Seeds - chemistry ; Zinc ; Zinc (Nutrient) ; Zinc - analysis</subject><ispartof>Theoretical and applied genetics, 2018-08, Vol.131 (8), p.1645-1658</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature (outside the USA) 2018</rights><rights>COPYRIGHT 2018 Springer</rights><rights>Theoretical and Applied Genetics is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c400t-d7189cd0c3981281b83ded8ab647803e445f746a404a0a8dddefe5b7ba780baf3</citedby><cites>FETCH-LOGICAL-c400t-d7189cd0c3981281b83ded8ab647803e445f746a404a0a8dddefe5b7ba780baf3</cites><orcidid>0000-0002-4311-0774</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00122-018-3104-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00122-018-3104-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29752522$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Izquierdo, Paulo</creatorcontrib><creatorcontrib>Astudillo, Carolina</creatorcontrib><creatorcontrib>Blair, Matthew W.</creatorcontrib><creatorcontrib>Iqbal, Asif M.</creatorcontrib><creatorcontrib>Raatz, Bodo</creatorcontrib><creatorcontrib>Cichy, Karen A.</creatorcontrib><title>Meta-QTL analysis of seed iron and zinc concentration and content in common bean (Phaseolus vulgaris L.)</title><title>Theoretical and applied genetics</title><addtitle>Theor Appl Genet</addtitle><addtitle>Theor Appl Genet</addtitle><description>Key message
Twelve meta-QTL for seed Fe and Zn concentration and/or content were identified from 87 QTL originating from seven population grown in sixteen field trials. These meta-QTL include 2 specific to iron, 2 specific to zinc and 8 that co-localize for iron and zinc concentrations and/or content.
Common bean (
Phaseolus vulgaris
L.) is the most important legume for human consumption worldwide and it is an important source of microelements, especially iron and zinc. Bean biofortification breeding programs develop new varieties with high levels of Fe and Zn targeted for countries with human micronutrient deficiencies. Biofortification efforts thus far have relied on phenotypic selection of raw seed mineral concentrations in advanced generations. While numerous quantitative trait loci (QTL) studies have been conducted to identify genomic regions associated with increased Fe and Zn concentration in seeds, these results have yet to be employed for marker-assisted breeding. The objective of this study was to conduct a meta-analysis from seven QTL studies in Andean and Middle American intra- and inter-gene pool populations to identify the regions in the genome that control the Fe and Zn levels in seeds. Two meta-QTL specific to Fe and two meta-QTL specific to Zn were identified. Additionally, eight Meta QTL that co-localized for Fe and Zn concentration and/or content were identified across seven chromosomes. The Fe and Zn shared meta-QTL could be useful candidates for marker-assisted breeding to simultaneously increase seed Fe and Zn. The physical positions for 12 individual meta-QTL were identified and within five of the meta-QTL, candidate genes were identified from six gene families that have been associated with transport of iron and zinc in plants.</description><subject>Agriculture</subject><subject>Biochemistry</subject><subject>Biomedical and Life Sciences</subject><subject>Biotechnology</subject><subject>Breeding</subject><subject>Chromosome Mapping</subject><subject>Chromosomes</subject><subject>Gene families</subject><subject>Gene Pool</subject><subject>Genetic aspects</subject><subject>Genomes</subject><subject>Genotype & phenotype</subject><subject>Health aspects</subject><subject>Iron</subject><subject>Iron (Nutrient)</subject><subject>Iron - analysis</subject><subject>Legumes</subject><subject>Life Sciences</subject><subject>Nutritional aspects</subject><subject>Original Article</subject><subject>Phaseolus - genetics</subject><subject>Phaseolus vulgaris</subject><subject>Phenotype</subject><subject>Plant Biochemistry</subject><subject>Plant Breeding</subject><subject>Plant Breeding/Biotechnology</subject><subject>Plant Genetics and Genomics</subject><subject>Quantitative Trait Loci</subject><subject>Seeds</subject><subject>Seeds - 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analysis</topic><topic>Legumes</topic><topic>Life Sciences</topic><topic>Nutritional aspects</topic><topic>Original Article</topic><topic>Phaseolus - genetics</topic><topic>Phaseolus vulgaris</topic><topic>Phenotype</topic><topic>Plant Biochemistry</topic><topic>Plant Breeding</topic><topic>Plant Breeding/Biotechnology</topic><topic>Plant Genetics and Genomics</topic><topic>Quantitative Trait Loci</topic><topic>Seeds</topic><topic>Seeds - chemistry</topic><topic>Zinc</topic><topic>Zinc (Nutrient)</topic><topic>Zinc - analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Izquierdo, Paulo</creatorcontrib><creatorcontrib>Astudillo, Carolina</creatorcontrib><creatorcontrib>Blair, Matthew W.</creatorcontrib><creatorcontrib>Iqbal, Asif M.</creatorcontrib><creatorcontrib>Raatz, Bodo</creatorcontrib><creatorcontrib>Cichy, Karen A.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Theoretical and applied genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Izquierdo, Paulo</au><au>Astudillo, Carolina</au><au>Blair, Matthew W.</au><au>Iqbal, Asif M.</au><au>Raatz, Bodo</au><au>Cichy, Karen A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Meta-QTL analysis of seed iron and zinc concentration and content in common bean (Phaseolus vulgaris L.)</atitle><jtitle>Theoretical and applied genetics</jtitle><stitle>Theor Appl Genet</stitle><addtitle>Theor Appl Genet</addtitle><date>2018-08-01</date><risdate>2018</risdate><volume>131</volume><issue>8</issue><spage>1645</spage><epage>1658</epage><pages>1645-1658</pages><issn>0040-5752</issn><eissn>1432-2242</eissn><abstract>Key message
Twelve meta-QTL for seed Fe and Zn concentration and/or content were identified from 87 QTL originating from seven population grown in sixteen field trials. These meta-QTL include 2 specific to iron, 2 specific to zinc and 8 that co-localize for iron and zinc concentrations and/or content.
Common bean (
Phaseolus vulgaris
L.) is the most important legume for human consumption worldwide and it is an important source of microelements, especially iron and zinc. Bean biofortification breeding programs develop new varieties with high levels of Fe and Zn targeted for countries with human micronutrient deficiencies. Biofortification efforts thus far have relied on phenotypic selection of raw seed mineral concentrations in advanced generations. While numerous quantitative trait loci (QTL) studies have been conducted to identify genomic regions associated with increased Fe and Zn concentration in seeds, these results have yet to be employed for marker-assisted breeding. The objective of this study was to conduct a meta-analysis from seven QTL studies in Andean and Middle American intra- and inter-gene pool populations to identify the regions in the genome that control the Fe and Zn levels in seeds. Two meta-QTL specific to Fe and two meta-QTL specific to Zn were identified. Additionally, eight Meta QTL that co-localized for Fe and Zn concentration and/or content were identified across seven chromosomes. The Fe and Zn shared meta-QTL could be useful candidates for marker-assisted breeding to simultaneously increase seed Fe and Zn. The physical positions for 12 individual meta-QTL were identified and within five of the meta-QTL, candidate genes were identified from six gene families that have been associated with transport of iron and zinc in plants.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>29752522</pmid><doi>10.1007/s00122-018-3104-8</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-4311-0774</orcidid></addata></record> |
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| ispartof | Theoretical and applied genetics, 2018-08, Vol.131 (8), p.1645-1658 |
| issn | 0040-5752 1432-2242 |
| language | eng |
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| source | MEDLINE; Springer Nature - Complete Springer Journals |
| subjects | Agriculture Biochemistry Biomedical and Life Sciences Biotechnology Breeding Chromosome Mapping Chromosomes Gene families Gene Pool Genetic aspects Genomes Genotype & phenotype Health aspects Iron Iron (Nutrient) Iron - analysis Legumes Life Sciences Nutritional aspects Original Article Phaseolus - genetics Phaseolus vulgaris Phenotype Plant Biochemistry Plant Breeding Plant Breeding/Biotechnology Plant Genetics and Genomics Quantitative Trait Loci Seeds Seeds - chemistry Zinc Zinc (Nutrient) Zinc - analysis |
| title | Meta-QTL analysis of seed iron and zinc concentration and content in common bean (Phaseolus vulgaris L.) |
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