Identification of genomic regions at seedling related traits in response to aluminium toxicity using a new high-density genetic map in rice (Oryza sativa L.)
Aluminium toxicity is adversely affecting the rice growth and production in acidic soils of developing countries. Rice is popular and stable crop which meets food requirements of about 50% world population. A set of 122 rice backcross recombinant inbreed lines (BRILs) derived from a cross between Ja...
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| Veröffentlicht in: | Genetic resources and crop evolution 2021-06, Vol.68 (5), p.1889-1903 |
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| container_title | Genetic resources and crop evolution |
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| creator | Rasheed, Adnan Wassan, Ghulam Mustafa Khanzada, Hira Solangi, Abdul Malik Han, Ruicai Li, Huijie Bian, Jianmin Wu, Ziming |
| description | Aluminium toxicity is adversely affecting the rice growth and production in acidic soils of developing countries. Rice is popular and stable crop which meets food requirements of about 50% world population. A set of 122 rice backcross recombinant inbreed lines (BRILs) derived from a cross between
Japonica
(cv.02428) and
Indica
(Changhui/891) was grown in nutrient solution. High density linkage map generated by using 3075 highly stable SNP markers. Relative root length (RRL) was used as standard criteria for aluminium tolerance. A total of 23 QTLs were detected in the current study for six traits across all experimental conditions. Regarding RRL, three QTLs
qCRL-6
,
qSRL-6
, and
qRRL-6
were found stable and common QTLs across all environments. Out of these three QTLs,
qRRL-6
with higher heritability estimates (H
2
= 96.59%) was novel QTL with a positive additive effect. In addition, shoot length (SL), shoot fresh weight (SFW), root fresh weight (RFW), shoot dry weight (SDW) and root dry weight (RDW) were used and identified QTLs,
qSSL-11, qRRFW-1
, and
qRRDW-1
and
qRRDW-
8 which were newly reported QTLs. Three pleiotropic QTLs
qRRFW-1, qRSDW-1
, and
qRRDW-1
were also reported and these QTLs would facilitate to improve Al tolerance by MAS selection and QTLs pyramiding. |
| doi_str_mv | 10.1007/s10722-020-01103-2 |
| format | Article |
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Japonica
(cv.02428) and
Indica
(Changhui/891) was grown in nutrient solution. High density linkage map generated by using 3075 highly stable SNP markers. Relative root length (RRL) was used as standard criteria for aluminium tolerance. A total of 23 QTLs were detected in the current study for six traits across all experimental conditions. Regarding RRL, three QTLs
qCRL-6
,
qSRL-6
, and
qRRL-6
were found stable and common QTLs across all environments. Out of these three QTLs,
qRRL-6
with higher heritability estimates (H
2
= 96.59%) was novel QTL with a positive additive effect. In addition, shoot length (SL), shoot fresh weight (SFW), root fresh weight (RFW), shoot dry weight (SDW) and root dry weight (RDW) were used and identified QTLs,
qSSL-11, qRRFW-1
, and
qRRDW-1
and
qRRDW-
8 which were newly reported QTLs. Three pleiotropic QTLs
qRRFW-1, qRSDW-1
, and
qRRDW-1
were also reported and these QTLs would facilitate to improve Al tolerance by MAS selection and QTLs pyramiding.</description><identifier>ISSN: 0925-9864</identifier><identifier>EISSN: 1573-5109</identifier><identifier>DOI: 10.1007/s10722-020-01103-2</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Acidic soils ; Agriculture ; Aluminum ; Barley ; Biomedical and Life Sciences ; Chromosomes ; Corn ; Density ; Developing countries ; Dry weight ; Heritability ; LDCs ; Life Sciences ; Oryza sativa indica ; Oryza sativa japonica ; Plant Genetics and Genomics ; Plant Physiology ; Plant Sciences ; Plant Systematics/Taxonomy/Biogeography ; Pollution tolerance ; Population ; Quantitative trait loci ; Research Article ; Rice ; Seedlings ; Single-nucleotide polymorphism ; Toxicity ; Weight ; World population</subject><ispartof>Genetic resources and crop evolution, 2021-06, Vol.68 (5), p.1889-1903</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-b28db963778b1b53f1e246fe067be1137f5c2cb892c498be01258eea6395142a3</citedby><cites>FETCH-LOGICAL-c319t-b28db963778b1b53f1e246fe067be1137f5c2cb892c498be01258eea6395142a3</cites><orcidid>0000-0001-5107-4913</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/s10722-020-01103-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10722-020-01103-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Rasheed, Adnan</creatorcontrib><creatorcontrib>Wassan, Ghulam Mustafa</creatorcontrib><creatorcontrib>Khanzada, Hira</creatorcontrib><creatorcontrib>Solangi, Abdul Malik</creatorcontrib><creatorcontrib>Han, Ruicai</creatorcontrib><creatorcontrib>Li, Huijie</creatorcontrib><creatorcontrib>Bian, Jianmin</creatorcontrib><creatorcontrib>Wu, Ziming</creatorcontrib><title>Identification of genomic regions at seedling related traits in response to aluminium toxicity using a new high-density genetic map in rice (Oryza sativa L.)</title><title>Genetic resources and crop evolution</title><addtitle>Genet Resour Crop Evol</addtitle><description>Aluminium toxicity is adversely affecting the rice growth and production in acidic soils of developing countries. Rice is popular and stable crop which meets food requirements of about 50% world population. A set of 122 rice backcross recombinant inbreed lines (BRILs) derived from a cross between
Japonica
(cv.02428) and
Indica
(Changhui/891) was grown in nutrient solution. High density linkage map generated by using 3075 highly stable SNP markers. Relative root length (RRL) was used as standard criteria for aluminium tolerance. A total of 23 QTLs were detected in the current study for six traits across all experimental conditions. Regarding RRL, three QTLs
qCRL-6
,
qSRL-6
, and
qRRL-6
were found stable and common QTLs across all environments. Out of these three QTLs,
qRRL-6
with higher heritability estimates (H
2
= 96.59%) was novel QTL with a positive additive effect. In addition, shoot length (SL), shoot fresh weight (SFW), root fresh weight (RFW), shoot dry weight (SDW) and root dry weight (RDW) were used and identified QTLs,
qSSL-11, qRRFW-1
, and
qRRDW-1
and
qRRDW-
8 which were newly reported QTLs. Three pleiotropic QTLs
qRRFW-1, qRSDW-1
, and
qRRDW-1
were also reported and these QTLs would facilitate to improve Al tolerance by MAS selection and QTLs pyramiding.</description><subject>Acidic soils</subject><subject>Agriculture</subject><subject>Aluminum</subject><subject>Barley</subject><subject>Biomedical and Life Sciences</subject><subject>Chromosomes</subject><subject>Corn</subject><subject>Density</subject><subject>Developing countries</subject><subject>Dry weight</subject><subject>Heritability</subject><subject>LDCs</subject><subject>Life Sciences</subject><subject>Oryza sativa indica</subject><subject>Oryza sativa japonica</subject><subject>Plant Genetics and Genomics</subject><subject>Plant Physiology</subject><subject>Plant Sciences</subject><subject>Plant Systematics/Taxonomy/Biogeography</subject><subject>Pollution tolerance</subject><subject>Population</subject><subject>Quantitative trait loci</subject><subject>Research Article</subject><subject>Rice</subject><subject>Seedlings</subject><subject>Single-nucleotide polymorphism</subject><subject>Toxicity</subject><subject>Weight</subject><subject>World population</subject><issn>0925-9864</issn><issn>1573-5109</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9UU1v1DAQtRBILIU_wMlSL_TgrceO4_iIqhYqrdRLe7Yc7yR1tXG2tgMs_4X_ireLxK2n0bx5HyM9Qj4DXwPn-jID10IwLjjjAFwy8YasQGnJFHDzlqy4EYqZrm3ekw85P3HOjW67Fflzu8VYwhC8K2GOdB7oiHGegqcJx4pk6grNiNtdiGPFdq7glpbkQsk0xIrkfWUhLTN1u2UKMSxTXX4FH8qBLvkoczTiT_oYxkdW4_LxUFOw1JTJ7V9sgkf65S4dfjua6ys_HN2sLz6Sd4PbZfz0b56Rh5vr-6vvbHP37fbq64Z5CaawXnTb3rRS666HXskBUDTtgLzVPQJIPSgvfN8Z4RvT9chBqA7RtdIoaISTZ-T85LtP8_OCudineUmxRlqhwECjlewqS5xYPs05JxzsPoXJpYMFbo812FMNttZgX2qwoorkSZQrOY6Y_lu_ovoLl8OMlw</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Rasheed, Adnan</creator><creator>Wassan, Ghulam Mustafa</creator><creator>Khanzada, Hira</creator><creator>Solangi, Abdul Malik</creator><creator>Han, Ruicai</creator><creator>Li, Huijie</creator><creator>Bian, Jianmin</creator><creator>Wu, Ziming</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M0K</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><orcidid>https://orcid.org/0000-0001-5107-4913</orcidid></search><sort><creationdate>20210601</creationdate><title>Identification of genomic regions at seedling related traits in response to aluminium toxicity using a new high-density genetic map in rice (Oryza sativa L.)</title><author>Rasheed, Adnan ; Wassan, Ghulam Mustafa ; Khanzada, Hira ; Solangi, Abdul Malik ; Han, Ruicai ; Li, Huijie ; Bian, Jianmin ; Wu, Ziming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-b28db963778b1b53f1e246fe067be1137f5c2cb892c498be01258eea6395142a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Acidic soils</topic><topic>Agriculture</topic><topic>Aluminum</topic><topic>Barley</topic><topic>Biomedical and Life Sciences</topic><topic>Chromosomes</topic><topic>Corn</topic><topic>Density</topic><topic>Developing countries</topic><topic>Dry weight</topic><topic>Heritability</topic><topic>LDCs</topic><topic>Life Sciences</topic><topic>Oryza sativa indica</topic><topic>Oryza sativa japonica</topic><topic>Plant Genetics and Genomics</topic><topic>Plant Physiology</topic><topic>Plant Sciences</topic><topic>Plant Systematics/Taxonomy/Biogeography</topic><topic>Pollution tolerance</topic><topic>Population</topic><topic>Quantitative trait loci</topic><topic>Research Article</topic><topic>Rice</topic><topic>Seedlings</topic><topic>Single-nucleotide polymorphism</topic><topic>Toxicity</topic><topic>Weight</topic><topic>World population</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rasheed, Adnan</creatorcontrib><creatorcontrib>Wassan, Ghulam Mustafa</creatorcontrib><creatorcontrib>Khanzada, Hira</creatorcontrib><creatorcontrib>Solangi, Abdul Malik</creatorcontrib><creatorcontrib>Han, Ruicai</creatorcontrib><creatorcontrib>Li, Huijie</creatorcontrib><creatorcontrib>Bian, Jianmin</creatorcontrib><creatorcontrib>Wu, Ziming</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Biological Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Genetic resources and crop evolution</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rasheed, Adnan</au><au>Wassan, Ghulam Mustafa</au><au>Khanzada, Hira</au><au>Solangi, Abdul Malik</au><au>Han, Ruicai</au><au>Li, Huijie</au><au>Bian, Jianmin</au><au>Wu, Ziming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of genomic regions at seedling related traits in response to aluminium toxicity using a new high-density genetic map in rice (Oryza sativa L.)</atitle><jtitle>Genetic resources and crop evolution</jtitle><stitle>Genet Resour Crop Evol</stitle><date>2021-06-01</date><risdate>2021</risdate><volume>68</volume><issue>5</issue><spage>1889</spage><epage>1903</epage><pages>1889-1903</pages><issn>0925-9864</issn><eissn>1573-5109</eissn><abstract>Aluminium toxicity is adversely affecting the rice growth and production in acidic soils of developing countries. Rice is popular and stable crop which meets food requirements of about 50% world population. A set of 122 rice backcross recombinant inbreed lines (BRILs) derived from a cross between
Japonica
(cv.02428) and
Indica
(Changhui/891) was grown in nutrient solution. High density linkage map generated by using 3075 highly stable SNP markers. Relative root length (RRL) was used as standard criteria for aluminium tolerance. A total of 23 QTLs were detected in the current study for six traits across all experimental conditions. Regarding RRL, three QTLs
qCRL-6
,
qSRL-6
, and
qRRL-6
were found stable and common QTLs across all environments. Out of these three QTLs,
qRRL-6
with higher heritability estimates (H
2
= 96.59%) was novel QTL with a positive additive effect. In addition, shoot length (SL), shoot fresh weight (SFW), root fresh weight (RFW), shoot dry weight (SDW) and root dry weight (RDW) were used and identified QTLs,
qSSL-11, qRRFW-1
, and
qRRDW-1
and
qRRDW-
8 which were newly reported QTLs. Three pleiotropic QTLs
qRRFW-1, qRSDW-1
, and
qRRDW-1
were also reported and these QTLs would facilitate to improve Al tolerance by MAS selection and QTLs pyramiding.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10722-020-01103-2</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-5107-4913</orcidid></addata></record> |
| fulltext | fulltext |
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| ispartof | Genetic resources and crop evolution, 2021-06, Vol.68 (5), p.1889-1903 |
| issn | 0925-9864 1573-5109 |
| language | eng |
| recordid | cdi_proquest_journals_2519147538 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Acidic soils Agriculture Aluminum Barley Biomedical and Life Sciences Chromosomes Corn Density Developing countries Dry weight Heritability LDCs Life Sciences Oryza sativa indica Oryza sativa japonica Plant Genetics and Genomics Plant Physiology Plant Sciences Plant Systematics/Taxonomy/Biogeography Pollution tolerance Population Quantitative trait loci Research Article Rice Seedlings Single-nucleotide polymorphism Toxicity Weight World population |
| title | Identification of genomic regions at seedling related traits in response to aluminium toxicity using a new high-density genetic map in rice (Oryza sativa L.) |
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