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Consensus genomic regions associated with multiple abiotic stress tolerance in wheat and implications for wheat breeding
In wheat, a meta-analysis was performed using previously identified QTLs associated with drought stress (DS), heat stress (HS), salinity stress (SS), water-logging stress (WS), pre-harvest sprouting (PHS), and aluminium stress (AS) which predicted a total of 134 meta-QTLs (MQTLs) that involved at le...
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Published in: | Scientific reports 2022-08, Vol.12 (1), p.13680-17, Article 13680 |
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description | In wheat, a meta-analysis was performed using previously identified QTLs associated with drought stress (DS), heat stress (HS), salinity stress (SS), water-logging stress (WS), pre-harvest sprouting (PHS), and aluminium stress (AS) which predicted a total of 134 meta-QTLs (MQTLs) that involved at least 28 consistent and stable MQTLs conferring tolerance to five or all six abiotic stresses under study. Seventy-six MQTLs out of the 132 physically anchored MQTLs were also verified with genome-wide association studies. Around 43% of MQTLs had genetic and physical confidence intervals of less than 1 cM and 5 Mb, respectively. Consequently, 539 genes were identified in some selected MQTLs providing tolerance to 5 or all 6 abiotic stresses. Comparative analysis of genes underlying MQTLs with four RNA-seq based transcriptomic datasets unravelled a total of 189 differentially expressed genes which also included at least 11 most promising candidate genes common among different datasets. The promoter analysis showed that the promoters of these genes include many stress responsiveness cis-regulatory elements, such as ARE, MBS, TC-rich repeats, As-1 element, STRE, LTR, WRE3, and WUN-motif among others. Further, some MQTLs also overlapped with as many as 34 known abiotic stress tolerance genes
.
In addition, numerous ortho-MQTLs among the wheat, maize, and rice genomes were discovered. These findings could help with fine mapping and gene cloning, as well as marker-assisted breeding for multiple abiotic stress tolerances in wheat. |
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.
In addition, numerous ortho-MQTLs among the wheat, maize, and rice genomes were discovered. These findings could help with fine mapping and gene cloning, as well as marker-assisted breeding for multiple abiotic stress tolerances in wheat.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-022-18149-0</identifier><identifier>PMID: 35953529</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/114 ; 631/337 ; 631/61 ; Abiotic stress ; Aluminum ; Breeding ; Cloning ; Comparative analysis ; Consensus ; Drought ; Gene mapping ; Genome-wide association studies ; Genome-Wide Association Study ; Genomics ; Heat tolerance ; Humanities and Social Sciences ; multidisciplinary ; Plant Breeding ; Quantitative trait loci ; Regulatory sequences ; Science ; Science (multidisciplinary) ; Stress, Physiological - genetics ; Transcriptomics ; Triticum - genetics ; Waterlogging ; Wheat</subject><ispartof>Scientific reports, 2022-08, Vol.12 (1), p.13680-17, Article 13680</ispartof><rights>The Author(s) 2022</rights><rights>2022. The Author(s).</rights><rights>The Author(s) 2022. 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-c540t-dc39e02ea1fd5a9df22c1fc1553b5a281a818a0ca1d6b8d68342ded1f78589a83</citedby><cites>FETCH-LOGICAL-c540t-dc39e02ea1fd5a9df22c1fc1553b5a281a818a0ca1d6b8d68342ded1f78589a83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2700915791/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2700915791?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35953529$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tanin, Mohammad Jafar</creatorcontrib><creatorcontrib>Saini, Dinesh Kumar</creatorcontrib><creatorcontrib>Sandhu, Karansher Singh</creatorcontrib><creatorcontrib>Pal, Neeraj</creatorcontrib><creatorcontrib>Gudi, Santosh</creatorcontrib><creatorcontrib>Chaudhary, Jyoti</creatorcontrib><creatorcontrib>Sharma, Achla</creatorcontrib><title>Consensus genomic regions associated with multiple abiotic stress tolerance in wheat and implications for wheat breeding</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>In wheat, a meta-analysis was performed using previously identified QTLs associated with drought stress (DS), heat stress (HS), salinity stress (SS), water-logging stress (WS), pre-harvest sprouting (PHS), and aluminium stress (AS) which predicted a total of 134 meta-QTLs (MQTLs) that involved at least 28 consistent and stable MQTLs conferring tolerance to five or all six abiotic stresses under study. Seventy-six MQTLs out of the 132 physically anchored MQTLs were also verified with genome-wide association studies. Around 43% of MQTLs had genetic and physical confidence intervals of less than 1 cM and 5 Mb, respectively. Consequently, 539 genes were identified in some selected MQTLs providing tolerance to 5 or all 6 abiotic stresses. Comparative analysis of genes underlying MQTLs with four RNA-seq based transcriptomic datasets unravelled a total of 189 differentially expressed genes which also included at least 11 most promising candidate genes common among different datasets. The promoter analysis showed that the promoters of these genes include many stress responsiveness cis-regulatory elements, such as ARE, MBS, TC-rich repeats, As-1 element, STRE, LTR, WRE3, and WUN-motif among others. Further, some MQTLs also overlapped with as many as 34 known abiotic stress tolerance genes
.
In addition, numerous ortho-MQTLs among the wheat, maize, and rice genomes were discovered. These findings could help with fine mapping and gene cloning, as well as marker-assisted breeding for multiple abiotic stress tolerances in wheat.</description><subject>631/114</subject><subject>631/337</subject><subject>631/61</subject><subject>Abiotic stress</subject><subject>Aluminum</subject><subject>Breeding</subject><subject>Cloning</subject><subject>Comparative analysis</subject><subject>Consensus</subject><subject>Drought</subject><subject>Gene mapping</subject><subject>Genome-wide association studies</subject><subject>Genome-Wide Association Study</subject><subject>Genomics</subject><subject>Heat tolerance</subject><subject>Humanities and Social Sciences</subject><subject>multidisciplinary</subject><subject>Plant Breeding</subject><subject>Quantitative trait loci</subject><subject>Regulatory sequences</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Stress, Physiological - genetics</subject><subject>Transcriptomics</subject><subject>Triticum - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tanin, Mohammad Jafar</au><au>Saini, Dinesh Kumar</au><au>Sandhu, Karansher Singh</au><au>Pal, Neeraj</au><au>Gudi, Santosh</au><au>Chaudhary, Jyoti</au><au>Sharma, Achla</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Consensus genomic regions associated with multiple abiotic stress tolerance in wheat and implications for wheat breeding</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2022-08-11</date><risdate>2022</risdate><volume>12</volume><issue>1</issue><spage>13680</spage><epage>17</epage><pages>13680-17</pages><artnum>13680</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>In wheat, a meta-analysis was performed using previously identified QTLs associated with drought stress (DS), heat stress (HS), salinity stress (SS), water-logging stress (WS), pre-harvest sprouting (PHS), and aluminium stress (AS) which predicted a total of 134 meta-QTLs (MQTLs) that involved at least 28 consistent and stable MQTLs conferring tolerance to five or all six abiotic stresses under study. Seventy-six MQTLs out of the 132 physically anchored MQTLs were also verified with genome-wide association studies. Around 43% of MQTLs had genetic and physical confidence intervals of less than 1 cM and 5 Mb, respectively. Consequently, 539 genes were identified in some selected MQTLs providing tolerance to 5 or all 6 abiotic stresses. Comparative analysis of genes underlying MQTLs with four RNA-seq based transcriptomic datasets unravelled a total of 189 differentially expressed genes which also included at least 11 most promising candidate genes common among different datasets. The promoter analysis showed that the promoters of these genes include many stress responsiveness cis-regulatory elements, such as ARE, MBS, TC-rich repeats, As-1 element, STRE, LTR, WRE3, and WUN-motif among others. Further, some MQTLs also overlapped with as many as 34 known abiotic stress tolerance genes
.
In addition, numerous ortho-MQTLs among the wheat, maize, and rice genomes were discovered. These findings could help with fine mapping and gene cloning, as well as marker-assisted breeding for multiple abiotic stress tolerances in wheat.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>35953529</pmid><doi>10.1038/s41598-022-18149-0</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 631/114 631/337 631/61 Abiotic stress Aluminum Breeding Cloning Comparative analysis Consensus Drought Gene mapping Genome-wide association studies Genome-Wide Association Study Genomics Heat tolerance Humanities and Social Sciences multidisciplinary Plant Breeding Quantitative trait loci Regulatory sequences Science Science (multidisciplinary) Stress, Physiological - genetics Transcriptomics Triticum - genetics Waterlogging Wheat |
title | Consensus genomic regions associated with multiple abiotic stress tolerance in wheat and implications for wheat breeding |
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