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Mapping of QTLs for source and sink associated traits under elevated CO2 in rice (Oryza sativa L.)
Rice source- and sink-associated traits are important for grain yield and are sensitive to environmental conditions. The continuing increase of CO 2 concentrations in the atmosphere will become a major challenge for rice growth and development in the future due to changes in our climate such as extr...
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Published in: | Plant growth regulation 2020-03, Vol.90 (2), p.359-367 |
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creator | Dai, Li-Ping Lu, Xue-Li Zou, Wei-Wei Wang, Chang-Jian Shen, Lan Hu, Jiang Zhang, Guang-Heng Ren, De-Yong Chen, Guang Zhang, Qiang Xue, Da-Wei Dong, Guo-Jun Gao, Zhen-Yu Guo, Long-Biao Zhu, Li Mou, Tong-Min Qian, Qian Zeng, Da-Li |
description | Rice source- and sink-associated traits are important for grain yield and are sensitive to environmental conditions. The continuing increase of CO
2
concentrations in the atmosphere will become a major challenge for rice growth and development in the future due to changes in our climate such as extremes in temperature. To guarantee food safety, novel genetic loci need to be identified for source- and sink-associated traits that are specifically expressed under elevated CO
2
conditions. Eighty chromosome segment substitution lines carrying
japonica
(Nipponbare) chromosome segments in the
indica
(9311) background were used in this study. QTL analysis was conducted for source- and sink-related traits, including flag leaf length, flag leaf width, flag leaf fresh weight, flag leaf dry weight, primary branch number, secondary branch number, grain number per panicle, panicle weight per plant, chlorophyll a, chlorophyll b, and carotenoid contents, under ambient CO
2
concentrations and free-air CO
2
enrichment. A total of 49 QTLs for these traits were detected on chromosomes 1, 3, 5, 6, 7, 9, and 12 under the two conditions; the variance explained by these QTLs varied from 6.22 to 38.15%. Among these QTLs, 19 of them were detected under the natural field conditions and 30 were detected in the elevated CO
2
conditions. In addition, 2 and 13 QTLs were specifically expressed in the natural and CO
2
-enriched conditions, respectively. Our findings have important implications on the utilization of germplasm resources for ensuring food security under elevated CO
2
levels, especially for QTLs that were specifically detected under the elevated CO
2
condition. |
doi_str_mv | 10.1007/s10725-019-00564-5 |
format | article |
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2
concentrations in the atmosphere will become a major challenge for rice growth and development in the future due to changes in our climate such as extremes in temperature. To guarantee food safety, novel genetic loci need to be identified for source- and sink-associated traits that are specifically expressed under elevated CO
2
conditions. Eighty chromosome segment substitution lines carrying
japonica
(Nipponbare) chromosome segments in the
indica
(9311) background were used in this study. QTL analysis was conducted for source- and sink-related traits, including flag leaf length, flag leaf width, flag leaf fresh weight, flag leaf dry weight, primary branch number, secondary branch number, grain number per panicle, panicle weight per plant, chlorophyll a, chlorophyll b, and carotenoid contents, under ambient CO
2
concentrations and free-air CO
2
enrichment. A total of 49 QTLs for these traits were detected on chromosomes 1, 3, 5, 6, 7, 9, and 12 under the two conditions; the variance explained by these QTLs varied from 6.22 to 38.15%. Among these QTLs, 19 of them were detected under the natural field conditions and 30 were detected in the elevated CO
2
conditions. In addition, 2 and 13 QTLs were specifically expressed in the natural and CO
2
-enriched conditions, respectively. Our findings have important implications on the utilization of germplasm resources for ensuring food security under elevated CO
2
levels, especially for QTLs that were specifically detected under the elevated CO
2
condition.</description><identifier>ISSN: 0167-6903</identifier><identifier>EISSN: 1573-5087</identifier><identifier>DOI: 10.1007/s10725-019-00564-5</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Agriculture ; Biomedical and Life Sciences ; Carbon dioxide ; Chlorophyll ; Chromosomes ; Crop yield ; Environmental conditions ; Food ; Food safety ; Food security ; Gene mapping ; Germplasm ; Grain ; Leaves ; Life Sciences ; Mapping ; Original Paper ; Plant Anatomy/Development ; Plant Physiology ; Plant Sciences ; Quantitative trait loci ; Rice ; Weight</subject><ispartof>Plant growth regulation, 2020-03, Vol.90 (2), p.359-367</ispartof><rights>The Author(s) 2019</rights><rights>Plant Growth Regulation is a copyright of Springer, (2019). All Rights Reserved. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c363t-686077b11a565e60605e077173477da663c2eb84a7c48c68c96a5431dcdbc87e3</citedby><cites>FETCH-LOGICAL-c363t-686077b11a565e60605e077173477da663c2eb84a7c48c68c96a5431dcdbc87e3</cites><orcidid>0000-0003-2349-8633</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Dai, Li-Ping</creatorcontrib><creatorcontrib>Lu, Xue-Li</creatorcontrib><creatorcontrib>Zou, Wei-Wei</creatorcontrib><creatorcontrib>Wang, Chang-Jian</creatorcontrib><creatorcontrib>Shen, Lan</creatorcontrib><creatorcontrib>Hu, Jiang</creatorcontrib><creatorcontrib>Zhang, Guang-Heng</creatorcontrib><creatorcontrib>Ren, De-Yong</creatorcontrib><creatorcontrib>Chen, Guang</creatorcontrib><creatorcontrib>Zhang, Qiang</creatorcontrib><creatorcontrib>Xue, Da-Wei</creatorcontrib><creatorcontrib>Dong, Guo-Jun</creatorcontrib><creatorcontrib>Gao, Zhen-Yu</creatorcontrib><creatorcontrib>Guo, Long-Biao</creatorcontrib><creatorcontrib>Zhu, Li</creatorcontrib><creatorcontrib>Mou, Tong-Min</creatorcontrib><creatorcontrib>Qian, Qian</creatorcontrib><creatorcontrib>Zeng, Da-Li</creatorcontrib><title>Mapping of QTLs for source and sink associated traits under elevated CO2 in rice (Oryza sativa L.)</title><title>Plant growth regulation</title><addtitle>Plant Growth Regul</addtitle><description>Rice source- and sink-associated traits are important for grain yield and are sensitive to environmental conditions. The continuing increase of CO
2
concentrations in the atmosphere will become a major challenge for rice growth and development in the future due to changes in our climate such as extremes in temperature. To guarantee food safety, novel genetic loci need to be identified for source- and sink-associated traits that are specifically expressed under elevated CO
2
conditions. Eighty chromosome segment substitution lines carrying
japonica
(Nipponbare) chromosome segments in the
indica
(9311) background were used in this study. QTL analysis was conducted for source- and sink-related traits, including flag leaf length, flag leaf width, flag leaf fresh weight, flag leaf dry weight, primary branch number, secondary branch number, grain number per panicle, panicle weight per plant, chlorophyll a, chlorophyll b, and carotenoid contents, under ambient CO
2
concentrations and free-air CO
2
enrichment. A total of 49 QTLs for these traits were detected on chromosomes 1, 3, 5, 6, 7, 9, and 12 under the two conditions; the variance explained by these QTLs varied from 6.22 to 38.15%. Among these QTLs, 19 of them were detected under the natural field conditions and 30 were detected in the elevated CO
2
conditions. In addition, 2 and 13 QTLs were specifically expressed in the natural and CO
2
-enriched conditions, respectively. Our findings have important implications on the utilization of germplasm resources for ensuring food security under elevated CO
2
levels, especially for QTLs that were specifically detected under the elevated CO
2
condition.</description><subject>Agriculture</subject><subject>Biomedical and Life Sciences</subject><subject>Carbon dioxide</subject><subject>Chlorophyll</subject><subject>Chromosomes</subject><subject>Crop yield</subject><subject>Environmental conditions</subject><subject>Food</subject><subject>Food safety</subject><subject>Food security</subject><subject>Gene mapping</subject><subject>Germplasm</subject><subject>Grain</subject><subject>Leaves</subject><subject>Life Sciences</subject><subject>Mapping</subject><subject>Original Paper</subject><subject>Plant Anatomy/Development</subject><subject>Plant Physiology</subject><subject>Plant Sciences</subject><subject>Quantitative trait loci</subject><subject>Rice</subject><subject>Weight</subject><issn>0167-6903</issn><issn>1573-5087</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEQhoMoWKt_wFPAix5SJ5vNxx6l-AUrRajnkM1mS2rdXZNtof56Y1fw5mlgeJ93mAehSwozCiBvIwWZcQK0IABc5IQfoQnlkhEOSh6jCVAhiSiAnaKzGNcAoBSnE1S9mL737Qp3DX5dlhE3XcCx2wbrsGlrHH37jk2MnfVmcDUegvFDxNu2dgG7jdsdtvNFhn2Lg0_U9SLsvwyOZvA7g8vZzTk6acwmuovfOUVvD_fL-RMpF4_P87uSWCbYQIQSIGVFqeGCOwECuEsLKlkuZW2EYDZzlcqNtLmyQtlCGJ4zWtu6sko6NkVXY28fus-ti4Nepz_adFJnjGeqkDIvUiobUzZ0MQbX6D74DxP2moL-calHlzq51AeXmieIjVBM4Xblwl_1P9Q3_EZ08A</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Dai, Li-Ping</creator><creator>Lu, Xue-Li</creator><creator>Zou, Wei-Wei</creator><creator>Wang, Chang-Jian</creator><creator>Shen, Lan</creator><creator>Hu, Jiang</creator><creator>Zhang, Guang-Heng</creator><creator>Ren, De-Yong</creator><creator>Chen, Guang</creator><creator>Zhang, Qiang</creator><creator>Xue, Da-Wei</creator><creator>Dong, Guo-Jun</creator><creator>Gao, Zhen-Yu</creator><creator>Guo, Long-Biao</creator><creator>Zhu, Li</creator><creator>Mou, Tong-Min</creator><creator>Qian, Qian</creator><creator>Zeng, Da-Li</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</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>GUQSH</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M0K</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0003-2349-8633</orcidid></search><sort><creationdate>20200301</creationdate><title>Mapping of QTLs for source and sink associated traits under elevated CO2 in rice (Oryza sativa L.)</title><author>Dai, Li-Ping ; Lu, Xue-Li ; Zou, Wei-Wei ; Wang, Chang-Jian ; Shen, Lan ; Hu, Jiang ; Zhang, Guang-Heng ; Ren, De-Yong ; Chen, Guang ; Zhang, Qiang ; Xue, Da-Wei ; Dong, Guo-Jun ; Gao, Zhen-Yu ; Guo, Long-Biao ; Zhu, Li ; Mou, Tong-Min ; Qian, Qian ; Zeng, Da-Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c363t-686077b11a565e60605e077173477da663c2eb84a7c48c68c96a5431dcdbc87e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Agriculture</topic><topic>Biomedical and Life Sciences</topic><topic>Carbon dioxide</topic><topic>Chlorophyll</topic><topic>Chromosomes</topic><topic>Crop yield</topic><topic>Environmental conditions</topic><topic>Food</topic><topic>Food safety</topic><topic>Food security</topic><topic>Gene mapping</topic><topic>Germplasm</topic><topic>Grain</topic><topic>Leaves</topic><topic>Life Sciences</topic><topic>Mapping</topic><topic>Original Paper</topic><topic>Plant Anatomy/Development</topic><topic>Plant Physiology</topic><topic>Plant Sciences</topic><topic>Quantitative trait loci</topic><topic>Rice</topic><topic>Weight</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dai, Li-Ping</creatorcontrib><creatorcontrib>Lu, Xue-Li</creatorcontrib><creatorcontrib>Zou, Wei-Wei</creatorcontrib><creatorcontrib>Wang, Chang-Jian</creatorcontrib><creatorcontrib>Shen, Lan</creatorcontrib><creatorcontrib>Hu, Jiang</creatorcontrib><creatorcontrib>Zhang, Guang-Heng</creatorcontrib><creatorcontrib>Ren, De-Yong</creatorcontrib><creatorcontrib>Chen, Guang</creatorcontrib><creatorcontrib>Zhang, Qiang</creatorcontrib><creatorcontrib>Xue, Da-Wei</creatorcontrib><creatorcontrib>Dong, Guo-Jun</creatorcontrib><creatorcontrib>Gao, Zhen-Yu</creatorcontrib><creatorcontrib>Guo, Long-Biao</creatorcontrib><creatorcontrib>Zhu, Li</creatorcontrib><creatorcontrib>Mou, Tong-Min</creatorcontrib><creatorcontrib>Qian, Qian</creatorcontrib><creatorcontrib>Zeng, Da-Li</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</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>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>ProQuest Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Plant growth regulation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dai, Li-Ping</au><au>Lu, Xue-Li</au><au>Zou, Wei-Wei</au><au>Wang, Chang-Jian</au><au>Shen, Lan</au><au>Hu, Jiang</au><au>Zhang, Guang-Heng</au><au>Ren, De-Yong</au><au>Chen, Guang</au><au>Zhang, Qiang</au><au>Xue, Da-Wei</au><au>Dong, Guo-Jun</au><au>Gao, Zhen-Yu</au><au>Guo, Long-Biao</au><au>Zhu, Li</au><au>Mou, Tong-Min</au><au>Qian, Qian</au><au>Zeng, Da-Li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mapping of QTLs for source and sink associated traits under elevated CO2 in rice (Oryza sativa L.)</atitle><jtitle>Plant growth regulation</jtitle><stitle>Plant Growth Regul</stitle><date>2020-03-01</date><risdate>2020</risdate><volume>90</volume><issue>2</issue><spage>359</spage><epage>367</epage><pages>359-367</pages><issn>0167-6903</issn><eissn>1573-5087</eissn><abstract>Rice source- and sink-associated traits are important for grain yield and are sensitive to environmental conditions. The continuing increase of CO
2
concentrations in the atmosphere will become a major challenge for rice growth and development in the future due to changes in our climate such as extremes in temperature. To guarantee food safety, novel genetic loci need to be identified for source- and sink-associated traits that are specifically expressed under elevated CO
2
conditions. Eighty chromosome segment substitution lines carrying
japonica
(Nipponbare) chromosome segments in the
indica
(9311) background were used in this study. QTL analysis was conducted for source- and sink-related traits, including flag leaf length, flag leaf width, flag leaf fresh weight, flag leaf dry weight, primary branch number, secondary branch number, grain number per panicle, panicle weight per plant, chlorophyll a, chlorophyll b, and carotenoid contents, under ambient CO
2
concentrations and free-air CO
2
enrichment. A total of 49 QTLs for these traits were detected on chromosomes 1, 3, 5, 6, 7, 9, and 12 under the two conditions; the variance explained by these QTLs varied from 6.22 to 38.15%. Among these QTLs, 19 of them were detected under the natural field conditions and 30 were detected in the elevated CO
2
conditions. In addition, 2 and 13 QTLs were specifically expressed in the natural and CO
2
-enriched conditions, respectively. Our findings have important implications on the utilization of germplasm resources for ensuring food security under elevated CO
2
levels, especially for QTLs that were specifically detected under the elevated CO
2
condition.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10725-019-00564-5</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-2349-8633</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Agriculture Biomedical and Life Sciences Carbon dioxide Chlorophyll Chromosomes Crop yield Environmental conditions Food Food safety Food security Gene mapping Germplasm Grain Leaves Life Sciences Mapping Original Paper Plant Anatomy/Development Plant Physiology Plant Sciences Quantitative trait loci Rice Weight |
title | Mapping of QTLs for source and sink associated traits under elevated CO2 in rice (Oryza sativa L.) |
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