Unraveling the genomic regions controlling the seed vigour index, root growth parameters and germination per cent in rice
High seed vigour ensures good quality seed and higher productivity. Early seedling growth parameters indicate seed vigour in rice. Seed vigour via physiological growth parameters is a complex trait controlled by many quantitative trait loci. A panel was prepared representing a population of 274 rice...
Gespeichert in:
| Veröffentlicht in: | PloS one 2022-07, Vol.17 (7), p.e0267303-e0267303 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0267303 |
|---|---|
| container_issue | 7 |
| container_start_page | e0267303 |
| container_title | PloS one |
| container_volume | 17 |
| creator | Barik, Saumya Ranjan Pandit, Elssa Sanghamitra, Priyadarshini Mohanty, Shakti Prakash Behera, Abhisarika Mishra, Jyotirmayee Nayak, Deepak Kumar Bastia, Ramakrushna Moharana, Arpita Sahoo, Auromira Pradhan, Sharat Kumar |
| description | High seed vigour ensures good quality seed and higher productivity. Early seedling growth parameters indicate seed vigour in rice. Seed vigour via physiological growth parameters is a complex trait controlled by many quantitative trait loci. A panel was prepared representing a population of 274 rice landraces by including genotypes from all the phenotypic groups of sixseedling stage physiological parameters including germination % for association mapping. Wide variations for the six studiedtraits were observed in the population. The population was classified into 3 genetic groups. Fixation indices indicated the presence of linkage disequilibrium in the population. The population was classified into subpopulations and each subpopulation showed correspondence with the 6 physiological traits. A total of 5 reported QTLs viz., qGP8.1 for germination % (GP); qSVII2.1, qSVII6.1 and qSVII6.2 for seed vigour index II (SVII), and qRSR11.1 for root-shoot ratio (RSR) were validated in this mapping population. In addition, 13 QTLs regulating the physiological parameters such as qSVI 11.1 for seed vigour index I; qSVI11.1 and qSVI12.1 for seed vigour index II; qRRG10.1, qRRG8.1, qRRG8.2, qRRG6.1 and qRRG4.1 for rate of root growth (RRG); qRSR2.1, qRSR3.1 and qRSR5.1 for root-shoot ratio (RSR) while qGP6.2 and qGP6.3 for germination %were identified. Additionally, co-localization or co-inheritance of QTLs, qGP8.1 and qSVI8.1 for GP and SVI-1; qGP6.2 and qRRG6.1 for GP and RRG, and qSVI11.1 and qRSR11.1 for SVI and RSR were detected. The QTLs identified in this study will be useful for improvement of seed vigour trait in rice. |
| doi_str_mv | 10.1371/journal.pone.0267303 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2694902643</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A711554506</galeid><doaj_id>oai_doaj_org_article_c61610a06c724925a255211a7d0dbd5e</doaj_id><sourcerecordid>A711554506</sourcerecordid><originalsourceid>FETCH-LOGICAL-c650t-4d1b4d83169695b5fce0ee4f75efc72e2cef5f87887c17dcc208f10a1a27c53c3</originalsourceid><addsrcrecordid>eNqNk21rFDEQxxdRbK1-A8GAIAremYdNdveNUIoPB4WCWt-GXDK7l7KXXJPs2X57s95autIXkhcJk9_8JzOZKYqXBC8Jq8iHKz8Ep_rlzjtYYioqhtmj4pg0jC4ExezxvfNR8SzGK4w5q4V4WhwxXteEV-S4uL10Qe2ht65DaQOoA-e3VqMAnfUuIu1dCr6_u48ABu1tl4Mj6wzcvEfB-4S64H-lDdqpoLaQIESknMlqYWudSlkK7SAgDS5lNxSshufFk1b1EV5M-0lx-fnTj7Ovi_OLL6uz0_OFFhynRWnIujQ1I6IRDV_zVgMGKNuKQ6srClRDy9u6qutKk8poTXHdEqyIopXmTLOT4tVBd9f7KKeqRUlFUza5bCXLxOpAGK-u5C7YrQq30isr_xh86KQKyeoepBZEZHEscuiyoVxRzikhqjLYrA2HrPVxijast2DGhIPqZ6LzG2c3svN7mb8qfyvNAm8ngeCvB4hJbm3U0PfKgR-md-c3cJzR1_-gD2c3UZ3KCVjX-hxXj6LytCKE85JjkanlA1ReBnI75BZrbbbPHN7NHMZGgZvUqSFGufr-7f_Zi59z9s09dgOqT5vo-2HsoTgHywOog48xQHtXZILlOCF_qyHHCZHThLDfkcsC6g</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2694902643</pqid></control><display><type>article</type><title>Unraveling the genomic regions controlling the seed vigour index, root growth parameters and germination per cent in rice</title><source>Public Library of Science (PLoS) Journals Open Access</source><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Barik, Saumya Ranjan ; Pandit, Elssa ; Sanghamitra, Priyadarshini ; Mohanty, Shakti Prakash ; Behera, Abhisarika ; Mishra, Jyotirmayee ; Nayak, Deepak Kumar ; Bastia, Ramakrushna ; Moharana, Arpita ; Sahoo, Auromira ; Pradhan, Sharat Kumar</creator><creatorcontrib>Barik, Saumya Ranjan ; Pandit, Elssa ; Sanghamitra, Priyadarshini ; Mohanty, Shakti Prakash ; Behera, Abhisarika ; Mishra, Jyotirmayee ; Nayak, Deepak Kumar ; Bastia, Ramakrushna ; Moharana, Arpita ; Sahoo, Auromira ; Pradhan, Sharat Kumar</creatorcontrib><description>High seed vigour ensures good quality seed and higher productivity. Early seedling growth parameters indicate seed vigour in rice. Seed vigour via physiological growth parameters is a complex trait controlled by many quantitative trait loci. A panel was prepared representing a population of 274 rice landraces by including genotypes from all the phenotypic groups of sixseedling stage physiological parameters including germination % for association mapping. Wide variations for the six studiedtraits were observed in the population. The population was classified into 3 genetic groups. Fixation indices indicated the presence of linkage disequilibrium in the population. The population was classified into subpopulations and each subpopulation showed correspondence with the 6 physiological traits. A total of 5 reported QTLs viz., qGP8.1 for germination % (GP); qSVII2.1, qSVII6.1 and qSVII6.2 for seed vigour index II (SVII), and qRSR11.1 for root-shoot ratio (RSR) were validated in this mapping population. In addition, 13 QTLs regulating the physiological parameters such as qSVI 11.1 for seed vigour index I; qSVI11.1 and qSVI12.1 for seed vigour index II; qRRG10.1, qRRG8.1, qRRG8.2, qRRG6.1 and qRRG4.1 for rate of root growth (RRG); qRSR2.1, qRSR3.1 and qRSR5.1 for root-shoot ratio (RSR) while qGP6.2 and qGP6.3 for germination %were identified. Additionally, co-localization or co-inheritance of QTLs, qGP8.1 and qSVI8.1 for GP and SVI-1; qGP6.2 and qRRG6.1 for GP and RRG, and qSVI11.1 and qRSR11.1 for SVI and RSR were detected. The QTLs identified in this study will be useful for improvement of seed vigour trait in rice.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0267303</identifier><identifier>PMID: 35881571</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Agricultural production ; Biology and Life Sciences ; Crop yields ; Evaluation ; Gene mapping ; Genes ; Genetic aspects ; Genotypes ; Germination ; Germplasm ; Growth ; Heredity ; Linkage disequilibrium ; Localization ; Management ; Mapping ; Parameters ; Physiology ; Plant growth ; Population ; Quantitative trait loci ; Research and Analysis Methods ; Rice ; Seedlings ; Seeds ; Subpopulations ; Variance analysis ; Vigor</subject><ispartof>PloS one, 2022-07, Vol.17 (7), p.e0267303-e0267303</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Barik et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 Barik et al 2022 Barik et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c650t-4d1b4d83169695b5fce0ee4f75efc72e2cef5f87887c17dcc208f10a1a27c53c3</citedby><cites>FETCH-LOGICAL-c650t-4d1b4d83169695b5fce0ee4f75efc72e2cef5f87887c17dcc208f10a1a27c53c3</cites><orcidid>0000-0001-7716-0721</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9321372/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9321372/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids></links><search><creatorcontrib>Barik, Saumya Ranjan</creatorcontrib><creatorcontrib>Pandit, Elssa</creatorcontrib><creatorcontrib>Sanghamitra, Priyadarshini</creatorcontrib><creatorcontrib>Mohanty, Shakti Prakash</creatorcontrib><creatorcontrib>Behera, Abhisarika</creatorcontrib><creatorcontrib>Mishra, Jyotirmayee</creatorcontrib><creatorcontrib>Nayak, Deepak Kumar</creatorcontrib><creatorcontrib>Bastia, Ramakrushna</creatorcontrib><creatorcontrib>Moharana, Arpita</creatorcontrib><creatorcontrib>Sahoo, Auromira</creatorcontrib><creatorcontrib>Pradhan, Sharat Kumar</creatorcontrib><title>Unraveling the genomic regions controlling the seed vigour index, root growth parameters and germination per cent in rice</title><title>PloS one</title><description>High seed vigour ensures good quality seed and higher productivity. Early seedling growth parameters indicate seed vigour in rice. Seed vigour via physiological growth parameters is a complex trait controlled by many quantitative trait loci. A panel was prepared representing a population of 274 rice landraces by including genotypes from all the phenotypic groups of sixseedling stage physiological parameters including germination % for association mapping. Wide variations for the six studiedtraits were observed in the population. The population was classified into 3 genetic groups. Fixation indices indicated the presence of linkage disequilibrium in the population. The population was classified into subpopulations and each subpopulation showed correspondence with the 6 physiological traits. A total of 5 reported QTLs viz., qGP8.1 for germination % (GP); qSVII2.1, qSVII6.1 and qSVII6.2 for seed vigour index II (SVII), and qRSR11.1 for root-shoot ratio (RSR) were validated in this mapping population. In addition, 13 QTLs regulating the physiological parameters such as qSVI 11.1 for seed vigour index I; qSVI11.1 and qSVI12.1 for seed vigour index II; qRRG10.1, qRRG8.1, qRRG8.2, qRRG6.1 and qRRG4.1 for rate of root growth (RRG); qRSR2.1, qRSR3.1 and qRSR5.1 for root-shoot ratio (RSR) while qGP6.2 and qGP6.3 for germination %were identified. Additionally, co-localization or co-inheritance of QTLs, qGP8.1 and qSVI8.1 for GP and SVI-1; qGP6.2 and qRRG6.1 for GP and RRG, and qSVI11.1 and qRSR11.1 for SVI and RSR were detected. The QTLs identified in this study will be useful for improvement of seed vigour trait in rice.</description><subject>Agricultural production</subject><subject>Biology and Life Sciences</subject><subject>Crop yields</subject><subject>Evaluation</subject><subject>Gene mapping</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genotypes</subject><subject>Germination</subject><subject>Germplasm</subject><subject>Growth</subject><subject>Heredity</subject><subject>Linkage disequilibrium</subject><subject>Localization</subject><subject>Management</subject><subject>Mapping</subject><subject>Parameters</subject><subject>Physiology</subject><subject>Plant growth</subject><subject>Population</subject><subject>Quantitative trait loci</subject><subject>Research and Analysis Methods</subject><subject>Rice</subject><subject>Seedlings</subject><subject>Seeds</subject><subject>Subpopulations</subject><subject>Variance analysis</subject><subject>Vigor</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk21rFDEQxxdRbK1-A8GAIAremYdNdveNUIoPB4WCWt-GXDK7l7KXXJPs2X57s95autIXkhcJk9_8JzOZKYqXBC8Jq8iHKz8Ep_rlzjtYYioqhtmj4pg0jC4ExezxvfNR8SzGK4w5q4V4WhwxXteEV-S4uL10Qe2ht65DaQOoA-e3VqMAnfUuIu1dCr6_u48ABu1tl4Mj6wzcvEfB-4S64H-lDdqpoLaQIESknMlqYWudSlkK7SAgDS5lNxSshufFk1b1EV5M-0lx-fnTj7Ovi_OLL6uz0_OFFhynRWnIujQ1I6IRDV_zVgMGKNuKQ6srClRDy9u6qutKk8poTXHdEqyIopXmTLOT4tVBd9f7KKeqRUlFUza5bCXLxOpAGK-u5C7YrQq30isr_xh86KQKyeoepBZEZHEscuiyoVxRzikhqjLYrA2HrPVxijast2DGhIPqZ6LzG2c3svN7mb8qfyvNAm8ngeCvB4hJbm3U0PfKgR-md-c3cJzR1_-gD2c3UZ3KCVjX-hxXj6LytCKE85JjkanlA1ReBnI75BZrbbbPHN7NHMZGgZvUqSFGufr-7f_Zi59z9s09dgOqT5vo-2HsoTgHywOog48xQHtXZILlOCF_qyHHCZHThLDfkcsC6g</recordid><startdate>20220726</startdate><enddate>20220726</enddate><creator>Barik, Saumya Ranjan</creator><creator>Pandit, Elssa</creator><creator>Sanghamitra, Priyadarshini</creator><creator>Mohanty, Shakti Prakash</creator><creator>Behera, Abhisarika</creator><creator>Mishra, Jyotirmayee</creator><creator>Nayak, Deepak Kumar</creator><creator>Bastia, Ramakrushna</creator><creator>Moharana, Arpita</creator><creator>Sahoo, Auromira</creator><creator>Pradhan, Sharat Kumar</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-7716-0721</orcidid></search><sort><creationdate>20220726</creationdate><title>Unraveling the genomic regions controlling the seed vigour index, root growth parameters and germination per cent in rice</title><author>Barik, Saumya Ranjan ; Pandit, Elssa ; Sanghamitra, Priyadarshini ; Mohanty, Shakti Prakash ; Behera, Abhisarika ; Mishra, Jyotirmayee ; Nayak, Deepak Kumar ; Bastia, Ramakrushna ; Moharana, Arpita ; Sahoo, Auromira ; Pradhan, Sharat Kumar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c650t-4d1b4d83169695b5fce0ee4f75efc72e2cef5f87887c17dcc208f10a1a27c53c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Agricultural production</topic><topic>Biology and Life Sciences</topic><topic>Crop yields</topic><topic>Evaluation</topic><topic>Gene mapping</topic><topic>Genes</topic><topic>Genetic aspects</topic><topic>Genotypes</topic><topic>Germination</topic><topic>Germplasm</topic><topic>Growth</topic><topic>Heredity</topic><topic>Linkage disequilibrium</topic><topic>Localization</topic><topic>Management</topic><topic>Mapping</topic><topic>Parameters</topic><topic>Physiology</topic><topic>Plant growth</topic><topic>Population</topic><topic>Quantitative trait loci</topic><topic>Research and Analysis Methods</topic><topic>Rice</topic><topic>Seedlings</topic><topic>Seeds</topic><topic>Subpopulations</topic><topic>Variance analysis</topic><topic>Vigor</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Barik, Saumya Ranjan</creatorcontrib><creatorcontrib>Pandit, Elssa</creatorcontrib><creatorcontrib>Sanghamitra, Priyadarshini</creatorcontrib><creatorcontrib>Mohanty, Shakti Prakash</creatorcontrib><creatorcontrib>Behera, Abhisarika</creatorcontrib><creatorcontrib>Mishra, Jyotirmayee</creatorcontrib><creatorcontrib>Nayak, Deepak Kumar</creatorcontrib><creatorcontrib>Bastia, Ramakrushna</creatorcontrib><creatorcontrib>Moharana, Arpita</creatorcontrib><creatorcontrib>Sahoo, Auromira</creatorcontrib><creatorcontrib>Pradhan, Sharat Kumar</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</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>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Barik, Saumya Ranjan</au><au>Pandit, Elssa</au><au>Sanghamitra, Priyadarshini</au><au>Mohanty, Shakti Prakash</au><au>Behera, Abhisarika</au><au>Mishra, Jyotirmayee</au><au>Nayak, Deepak Kumar</au><au>Bastia, Ramakrushna</au><au>Moharana, Arpita</au><au>Sahoo, Auromira</au><au>Pradhan, Sharat Kumar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Unraveling the genomic regions controlling the seed vigour index, root growth parameters and germination per cent in rice</atitle><jtitle>PloS one</jtitle><date>2022-07-26</date><risdate>2022</risdate><volume>17</volume><issue>7</issue><spage>e0267303</spage><epage>e0267303</epage><pages>e0267303-e0267303</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>High seed vigour ensures good quality seed and higher productivity. Early seedling growth parameters indicate seed vigour in rice. Seed vigour via physiological growth parameters is a complex trait controlled by many quantitative trait loci. A panel was prepared representing a population of 274 rice landraces by including genotypes from all the phenotypic groups of sixseedling stage physiological parameters including germination % for association mapping. Wide variations for the six studiedtraits were observed in the population. The population was classified into 3 genetic groups. Fixation indices indicated the presence of linkage disequilibrium in the population. The population was classified into subpopulations and each subpopulation showed correspondence with the 6 physiological traits. A total of 5 reported QTLs viz., qGP8.1 for germination % (GP); qSVII2.1, qSVII6.1 and qSVII6.2 for seed vigour index II (SVII), and qRSR11.1 for root-shoot ratio (RSR) were validated in this mapping population. In addition, 13 QTLs regulating the physiological parameters such as qSVI 11.1 for seed vigour index I; qSVI11.1 and qSVI12.1 for seed vigour index II; qRRG10.1, qRRG8.1, qRRG8.2, qRRG6.1 and qRRG4.1 for rate of root growth (RRG); qRSR2.1, qRSR3.1 and qRSR5.1 for root-shoot ratio (RSR) while qGP6.2 and qGP6.3 for germination %were identified. Additionally, co-localization or co-inheritance of QTLs, qGP8.1 and qSVI8.1 for GP and SVI-1; qGP6.2 and qRRG6.1 for GP and RRG, and qSVI11.1 and qRSR11.1 for SVI and RSR were detected. The QTLs identified in this study will be useful for improvement of seed vigour trait in rice.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>35881571</pmid><doi>10.1371/journal.pone.0267303</doi><tpages>e0267303</tpages><orcidid>https://orcid.org/0000-0001-7716-0721</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2022-07, Vol.17 (7), p.e0267303-e0267303 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2694902643 |
| source | Public Library of Science (PLoS) Journals Open Access; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Agricultural production Biology and Life Sciences Crop yields Evaluation Gene mapping Genes Genetic aspects Genotypes Germination Germplasm Growth Heredity Linkage disequilibrium Localization Management Mapping Parameters Physiology Plant growth Population Quantitative trait loci Research and Analysis Methods Rice Seedlings Seeds Subpopulations Variance analysis Vigor |
| title | Unraveling the genomic regions controlling the seed vigour index, root growth parameters and germination per cent in rice |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T00%3A13%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Unraveling%20the%20genomic%20regions%20controlling%20the%20seed%20vigour%20index,%20root%20growth%20parameters%20and%20germination%20per%20cent%20in%20rice&rft.jtitle=PloS%20one&rft.au=Barik,%20Saumya%20Ranjan&rft.date=2022-07-26&rft.volume=17&rft.issue=7&rft.spage=e0267303&rft.epage=e0267303&rft.pages=e0267303-e0267303&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0267303&rft_dat=%3Cgale_plos_%3EA711554506%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2694902643&rft_id=info:pmid/35881571&rft_galeid=A711554506&rft_doaj_id=oai_doaj_org_article_c61610a06c724925a255211a7d0dbd5e&rfr_iscdi=true |