Genome-wide meta-analysis on yield and yield-related QTLs in barley (Hordeum vulgare L.)
Meta-QTL (MQTL) analysis improves genetic dissection and detection of consistent chromosomal regions associated with economically important quantitative traits such as yield and yield-related traits through integrating QTL data from independent experiments. In order to identify the most reliable and...
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| Veröffentlicht in: | Molecular breeding 2019-04, Vol.39 (4), p.1-16, Article 56 |
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| creator | Khahani, Bahman Tavakol, Elahe Shariati J., Vahid |
| description | Meta-QTL (MQTL) analysis improves genetic dissection and detection of consistent chromosomal regions associated with economically important quantitative traits such as yield and yield-related traits through integrating QTL data from independent experiments. In order to identify the most reliable and stable QTLs for grain yield, thousand grain weight, plant height, heading date, harvest index, and number of ears per m
2
in barley under normal conditions, we carried out a MQTL analysis on 639 QTLs reported in the last 15 years representing 26 independent mapping populations. Consequently, all the QTLs were condensed to 31 MQTLs distributed on all seven barley chromosomes with a median number of nine initial QTLs and reduced confidence interval mainly to |
| doi_str_mv | 10.1007/s11032-019-0962-y |
| format | Article |
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2
in barley under normal conditions, we carried out a MQTL analysis on 639 QTLs reported in the last 15 years representing 26 independent mapping populations. Consequently, all the QTLs were condensed to 31 MQTLs distributed on all seven barley chromosomes with a median number of nine initial QTLs and reduced confidence interval mainly to < 2 cM. The QTL and MQTL projection on the barley genome indicated a sub-telomeric enrichment of QTLs likely due to higher gene density and recombination rate at these regions. Finally, the most promising candidate genes (CGs) located in MQTL intervals were presented and discussed based on their revealed function in the orthologous genes. The detected narrowed and stable QTLs and CGs provided a new perspective to improve yield and yield-related traits under normal conditions for breeding programs in barley and its close cereal species.</description><identifier>ISSN: 1380-3743</identifier><identifier>EISSN: 1572-9788</identifier><identifier>DOI: 10.1007/s11032-019-0962-y</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Barley ; Biomedical and Life Sciences ; Biotechnology ; Chromosomes ; Confidence intervals ; Crop yield ; Economic importance ; Gene mapping ; Genes ; Genetic analysis ; Genomes ; Genomics ; Grain ; Life Sciences ; Mapping ; Meta-analysis ; Molecular biology ; Plant biology ; Plant breeding ; Plant Genetics and Genomics ; Plant Pathology ; Plant Physiology ; Plant Sciences ; Quantitative trait loci ; Recombination ; Weight</subject><ispartof>Molecular breeding, 2019-04, Vol.39 (4), p.1-16, Article 56</ispartof><rights>Springer Nature B.V. 2019</rights><rights>Copyright Springer Nature B.V. 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-aeac8fa0ee350770364e03a2f6b70c349be27b2471b0e6b34f68e03e860381c33</citedby><cites>FETCH-LOGICAL-c316t-aeac8fa0ee350770364e03a2f6b70c349be27b2471b0e6b34f68e03e860381c33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11032-019-0962-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11032-019-0962-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Khahani, Bahman</creatorcontrib><creatorcontrib>Tavakol, Elahe</creatorcontrib><creatorcontrib>Shariati J., Vahid</creatorcontrib><title>Genome-wide meta-analysis on yield and yield-related QTLs in barley (Hordeum vulgare L.)</title><title>Molecular breeding</title><addtitle>Mol Breeding</addtitle><description>Meta-QTL (MQTL) analysis improves genetic dissection and detection of consistent chromosomal regions associated with economically important quantitative traits such as yield and yield-related traits through integrating QTL data from independent experiments. In order to identify the most reliable and stable QTLs for grain yield, thousand grain weight, plant height, heading date, harvest index, and number of ears per m
2
in barley under normal conditions, we carried out a MQTL analysis on 639 QTLs reported in the last 15 years representing 26 independent mapping populations. Consequently, all the QTLs were condensed to 31 MQTLs distributed on all seven barley chromosomes with a median number of nine initial QTLs and reduced confidence interval mainly to < 2 cM. The QTL and MQTL projection on the barley genome indicated a sub-telomeric enrichment of QTLs likely due to higher gene density and recombination rate at these regions. Finally, the most promising candidate genes (CGs) located in MQTL intervals were presented and discussed based on their revealed function in the orthologous genes. The detected narrowed and stable QTLs and CGs provided a new perspective to improve yield and yield-related traits under normal conditions for breeding programs in barley and its close cereal species.</description><subject>Barley</subject><subject>Biomedical and Life Sciences</subject><subject>Biotechnology</subject><subject>Chromosomes</subject><subject>Confidence intervals</subject><subject>Crop yield</subject><subject>Economic importance</subject><subject>Gene mapping</subject><subject>Genes</subject><subject>Genetic analysis</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Grain</subject><subject>Life Sciences</subject><subject>Mapping</subject><subject>Meta-analysis</subject><subject>Molecular biology</subject><subject>Plant biology</subject><subject>Plant breeding</subject><subject>Plant Genetics and Genomics</subject><subject>Plant Pathology</subject><subject>Plant Physiology</subject><subject>Plant Sciences</subject><subject>Quantitative trait loci</subject><subject>Recombination</subject><subject>Weight</subject><issn>1380-3743</issn><issn>1572-9788</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kE1LxDAURYMoOI7-AHcBN7rI-JK0SbuUQWeEgggjuAtp-zp06MeYtEr_vZEKrly9uzjnwruEXHNYcQB97zkHKRjwlEGqBJtOyILHWrBUJ8lpyDIBJnUkz8mF9wcITqrUgrxvsOtbZF91ibTFwTLb2Wbytad9R6cam5LarpwTc9jYAUv6uss8rTuaW9fgRG-3vStxbOnn2OytQ5qt7i7JWWUbj1e_d0nenh536y3LXjbP64eMFZKrgVm0RVJZQJQxaA1SRQjSikrlGgoZpTkKnYtI8xxQ5TKqVBIATBTIhBdSLsnN3Ht0_ceIfjCHfnThB28ETyMVqThWgeIzVbjee4eVObq6tW4yHMzPgGYe0IQBzc-AZgqOmB0f2G6P7q_5f-kb8KNyVg</recordid><startdate>20190401</startdate><enddate>20190401</enddate><creator>Khahani, Bahman</creator><creator>Tavakol, Elahe</creator><creator>Shariati J., Vahid</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20190401</creationdate><title>Genome-wide meta-analysis on yield and yield-related QTLs in barley (Hordeum vulgare L.)</title><author>Khahani, Bahman ; Tavakol, Elahe ; Shariati J., Vahid</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-aeac8fa0ee350770364e03a2f6b70c349be27b2471b0e6b34f68e03e860381c33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Barley</topic><topic>Biomedical and Life Sciences</topic><topic>Biotechnology</topic><topic>Chromosomes</topic><topic>Confidence intervals</topic><topic>Crop yield</topic><topic>Economic importance</topic><topic>Gene mapping</topic><topic>Genes</topic><topic>Genetic analysis</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Grain</topic><topic>Life Sciences</topic><topic>Mapping</topic><topic>Meta-analysis</topic><topic>Molecular biology</topic><topic>Plant biology</topic><topic>Plant breeding</topic><topic>Plant Genetics and Genomics</topic><topic>Plant Pathology</topic><topic>Plant Physiology</topic><topic>Plant Sciences</topic><topic>Quantitative trait loci</topic><topic>Recombination</topic><topic>Weight</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Khahani, Bahman</creatorcontrib><creatorcontrib>Tavakol, Elahe</creatorcontrib><creatorcontrib>Shariati J., Vahid</creatorcontrib><collection>CrossRef</collection><jtitle>Molecular breeding</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khahani, Bahman</au><au>Tavakol, Elahe</au><au>Shariati J., Vahid</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genome-wide meta-analysis on yield and yield-related QTLs in barley (Hordeum vulgare L.)</atitle><jtitle>Molecular breeding</jtitle><stitle>Mol Breeding</stitle><date>2019-04-01</date><risdate>2019</risdate><volume>39</volume><issue>4</issue><spage>1</spage><epage>16</epage><pages>1-16</pages><artnum>56</artnum><issn>1380-3743</issn><eissn>1572-9788</eissn><abstract>Meta-QTL (MQTL) analysis improves genetic dissection and detection of consistent chromosomal regions associated with economically important quantitative traits such as yield and yield-related traits through integrating QTL data from independent experiments. In order to identify the most reliable and stable QTLs for grain yield, thousand grain weight, plant height, heading date, harvest index, and number of ears per m
2
in barley under normal conditions, we carried out a MQTL analysis on 639 QTLs reported in the last 15 years representing 26 independent mapping populations. Consequently, all the QTLs were condensed to 31 MQTLs distributed on all seven barley chromosomes with a median number of nine initial QTLs and reduced confidence interval mainly to < 2 cM. The QTL and MQTL projection on the barley genome indicated a sub-telomeric enrichment of QTLs likely due to higher gene density and recombination rate at these regions. Finally, the most promising candidate genes (CGs) located in MQTL intervals were presented and discussed based on their revealed function in the orthologous genes. The detected narrowed and stable QTLs and CGs provided a new perspective to improve yield and yield-related traits under normal conditions for breeding programs in barley and its close cereal species.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11032-019-0962-y</doi><tpages>16</tpages></addata></record> |
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| subjects | Barley Biomedical and Life Sciences Biotechnology Chromosomes Confidence intervals Crop yield Economic importance Gene mapping Genes Genetic analysis Genomes Genomics Grain Life Sciences Mapping Meta-analysis Molecular biology Plant biology Plant breeding Plant Genetics and Genomics Plant Pathology Plant Physiology Plant Sciences Quantitative trait loci Recombination Weight |
| title | Genome-wide meta-analysis on yield and yield-related QTLs in barley (Hordeum vulgare L.) |
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