Tapas Kumer Hore, C. H. Balachiranjeevi, Mary Ann Inabangan-Asilo, C. A. Deepak, Alvin D. Palanog, Jose E. Hernandez, Glenn B. Gregorio, Teresita U. Dalisay, Maria Genaleen Q. Diaz, Roberto Fritsche Neto, Md. Abdul Kader, Partha Sarathi Biswas, B. P. Mallikarjuna Swamy
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The phenotypic variance (PV) varied from 4.5% (<i>qPN</i><sub><i>4.1</i></sub>) to 31.7% (<i>qPH</i><sub><i>1.1</i></sub>). <i>qDF</i><sub><i>1.1</i></sub>, <i>qDF</i><sub><i>7.2</i></sub>, <i>qDF</i><sub><i>8.1</i></sub>, <i>qPH</i><sub><i>1.1</i></sub>, <i>qPH</i><sub><i>7.1</i></sub>, <i>qPL</i><sub><i>1.2</i></sub>, <i>qPL</i><sub><i>9.1,</i></sub><i> qZn</i><sub><i>5.1</i></sub>, <i>qZn</i><sub><i>5.2</i></sub>, <i>qZn</i><sub><i>6.1</i></sub> and <i>qZn</i><sub><i>7.1</i></sub> were identified in both dry and wet seasons; <i>qZn</i><sub><i>5.1</i></sub><i>, qZn</i><sub><i>5.2</i></sub>, <i>qZn</i><sub><i>5.3,</i></sub><i> qZn</i><sub><i>6.2,</i></sub><i> qZn</i><sub><i>7.1</i></sub> and <i>qYLD</i><sub><i>1.2</i></sub> were detected by both ICIM and association mapping. <i>qZn</i><sub><i>7.1</i></sub> had the highest PV (17.8%) and additive effect (2.5 ppm). Epistasis and QTL co-locations were also observed for different traits. The multi-trait genomic prediction values were 0.24 and 0.16 for YLD and Zn respectively. <i>qZn</i><sub><i>6.2</i></sub> was co-located with a gene (<i>OsHMA2</i>) involved in Zn transport. These results are useful for Zn biofortificatiton of rice.</p>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genomic prediction and QTL analysis for grain Zn content and yield in Aus-derived rice populations\",\"authors\":\"Tapas Kumer Hore, C. H. Balachiranjeevi, Mary Ann Inabangan-Asilo, C. A. Deepak, Alvin D. Palanog, Jose E. Hernandez, Glenn B. Gregorio, Teresita U. Dalisay, Maria Genaleen Q. Diaz, Roberto Fritsche Neto, Md. Abdul Kader, Partha Sarathi Biswas, B. P. Mallikarjuna Swamy\",\"doi\":\"10.1007/s13562-024-00886-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Zinc (Zn) biofortification of rice can address Zn malnutrition in Asia. Identification and introgression of QTLs for grain Zn content and yield (YLD) can improve the efficiency of rice Zn biofortification. In four rice populations we detected 56 QTLs for seven traits by inclusive composite interval mapping (ICIM), and 16 QTLs for two traits (YLD and Zn) by association mapping. The phenotypic variance (PV) varied from 4.5% (<i>qPN</i><sub><i>4.1</i></sub>) to 31.7% (<i>qPH</i><sub><i>1.1</i></sub>). <i>qDF</i><sub><i>1.1</i></sub>, <i>qDF</i><sub><i>7.2</i></sub>, <i>qDF</i><sub><i>8.1</i></sub>, <i>qPH</i><sub><i>1.1</i></sub>, <i>qPH</i><sub><i>7.1</i></sub>, <i>qPL</i><sub><i>1.2</i></sub>, <i>qPL</i><sub><i>9.1,</i></sub><i> qZn</i><sub><i>5.1</i></sub>, <i>qZn</i><sub><i>5.2</i></sub>, <i>qZn</i><sub><i>6.1</i></sub> and <i>qZn</i><sub><i>7.1</i></sub> were identified in both dry and wet seasons; <i>qZn</i><sub><i>5.1</i></sub><i>, qZn</i><sub><i>5.2</i></sub>, <i>qZn</i><sub><i>5.3,</i></sub><i> qZn</i><sub><i>6.2,</i></sub><i> qZn</i><sub><i>7.1</i></sub> and <i>qYLD</i><sub><i>1.2</i></sub> were detected by both ICIM and association mapping. <i>qZn</i><sub><i>7.1</i></sub> had the highest PV (17.8%) and additive effect (2.5 ppm). Epistasis and QTL co-locations were also observed for different traits. The multi-trait genomic prediction values were 0.24 and 0.16 for YLD and Zn respectively. <i>qZn</i><sub><i>6.2</i></sub> was co-located with a gene (<i>OsHMA2</i>) involved in Zn transport. These results are useful for Zn biofortificatiton of rice.</p>\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2024-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1007/s13562-024-00886-0\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s13562-024-00886-0","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Genomic prediction and QTL analysis for grain Zn content and yield in Aus-derived rice populations
Zinc (Zn) biofortification of rice can address Zn malnutrition in Asia. Identification and introgression of QTLs for grain Zn content and yield (YLD) can improve the efficiency of rice Zn biofortification. In four rice populations we detected 56 QTLs for seven traits by inclusive composite interval mapping (ICIM), and 16 QTLs for two traits (YLD and Zn) by association mapping. The phenotypic variance (PV) varied from 4.5% (qPN4.1) to 31.7% (qPH1.1). qDF1.1, qDF7.2, qDF8.1, qPH1.1, qPH7.1, qPL1.2, qPL9.1, qZn5.1, qZn5.2, qZn6.1 and qZn7.1 were identified in both dry and wet seasons; qZn5.1, qZn5.2, qZn5.3, qZn6.2, qZn7.1 and qYLD1.2 were detected by both ICIM and association mapping. qZn7.1 had the highest PV (17.8%) and additive effect (2.5 ppm). Epistasis and QTL co-locations were also observed for different traits. The multi-trait genomic prediction values were 0.24 and 0.16 for YLD and Zn respectively. qZn6.2 was co-located with a gene (OsHMA2) involved in Zn transport. These results are useful for Zn biofortificatiton of rice.
期刊介绍：
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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