揭示水稻(Oryza sativa L.)干直接播种条件下深土出苗的遗传基础。

IF 4.1 2区 生物学 Q1 PLANT SCIENCES Frontiers in Plant Science Pub Date : 2025-01-29 eCollection Date: 2024-01-01 DOI:10.3389/fpls.2024.1512234
Vagish Mishra, Shilpi Dixit, Swati Tyagi, Challa Venkateswarlu, Pronob J Paul, Anoop Kishor Singh Gurjar, Shalabh Dixit, Nitika Sandhu, Smita Kurup, Arvind Kumar, Pallavi Sinha, Vikas Kumar Singh, Uma Maheshwar Singh
{"title":"揭示水稻(Oryza sativa L.)干直接播种条件下深土出苗的遗传基础。","authors":"Vagish Mishra, Shilpi Dixit, Swati Tyagi, Challa Venkateswarlu, Pronob J Paul, Anoop Kishor Singh Gurjar, Shalabh Dixit, Nitika Sandhu, Smita Kurup, Arvind Kumar, Pallavi Sinha, Vikas Kumar Singh, Uma Maheshwar Singh","doi":"10.3389/fpls.2024.1512234","DOIUrl":null,"url":null,"abstract":"<p><p>Water scarcity and labor shortage pose significant challenges in rice farming. Direct-seeded rice (DSR) is an efficient method that conserves water, reduces labor costs, and allows for full mechanization of cultivation. However, variable planting depth in undulated field leading to deep/shallow sowing of rice seeds during mechanical sowing presents a major hurdle, as existing varieties lack tolerance to deep sowing. To address this, a mapping population comprising 150 F<sub>4</sub> lines, derived from MTU 1010 and AUS295, was developed and phenotyped for emergence from deep soil depth-related traits, including days of emergence (DE), percent germination (PG), mesocotyl length (ML), and coleoptile length (CL). The correlation revealed that DE has a significant negative correlation with PG, ML, and CL, whereas PG, ML, and CL are all positively correlated with each other. The mapping population was genotyped with mid-density SNP assay (1k-RiCA), and a linkage map was established with 414 polymorphic SNP markers. A total of 16 QTLs were identified for four traits, with phenotypic variance explained (PVE) ranging from 6.63% to 19.6% in the WS22. These included 5 QTLs for DE, 3 QTLs for PG, 4 QTLs for ML, and 4 QTLs for CL. Out of 16 QTLs identified, 12 were major effect QTLs (<i>qDE<sub>1.2</sub></i> , <i>qDE<sub>1.3</sub></i> , <i>qDE<sub>1.4</sub></i> , <i>qDE<sub>2.1</sub></i> , <i>qDE<sub>12</sub></i> , <i>qPG<sub>2.1</sub>, qPG<sub>2.2</sub>, qML<sub>2.1</sub>, qML<sub>2.2</sub></i> , <i>qCL<sub>1</sub></i> , <i>qCL<sub>2.2</sub>, qCL<sub>2.3</sub></i> ) and 4 were minor effect QTLs (<i>qPG<sub>1</sub>, qML<sub>1.2</sub>, qCL<sub>2.1</sub></i> ). During DS23 season, QTL analysis for DE and PG traits identified seven and three QTLs, respectively. Out of the ten QTLs identified in DS23 season, eight were stable across the season. This study reported 11 novel QTLs, while 7 had been previously reported. The study pinpointed three QTL hotspot regions: one on chromosome 1 (<i>qPG<sub>1</sub></i> , <i>qCL<sub>1</sub></i> ) and two on chromosome 2 (<i>qPG<sub>2.1</sub>, qML<sub>2.2</sub>, qCL<sub>2.1</sub></i> ) and (<i>qPG<sub>2.2</sub>, qCL<sub>2.2</sub></i> ). Candidate gene analysis in the identified QTL regions found two genes associated with hormonal pathways: <i>OsSLR1</i> for gibberellin signaling and <i>OsSAUR11</i> for abscisic acid signaling. Additionally, one gene (<i>OsMT3a</i>) associated with early seedling vigor and another (<i>OsABA8ox1</i>) regulates germination through coleoptile growth. The identified QTLs, genes, and breeding lines from this study provide valuable resources for developing rice varieties with enhanced tolerance to deep soil emergence, making them well-suited for mechanized DSR systems.</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"15 ","pages":"1512234"},"PeriodicalIF":4.1000,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11814172/pdf/","citationCount":"0","resultStr":"{\"title\":\"Unveiling genetic basis of seedling emergence from deep soil depth under dry direct- seeded conditions in rice (<i>Oryza sativa</i> L.).\",\"authors\":\"Vagish Mishra, Shilpi Dixit, Swati Tyagi, Challa Venkateswarlu, Pronob J Paul, Anoop Kishor Singh Gurjar, Shalabh Dixit, Nitika Sandhu, Smita Kurup, Arvind Kumar, Pallavi Sinha, Vikas Kumar Singh, Uma Maheshwar Singh\",\"doi\":\"10.3389/fpls.2024.1512234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Water scarcity and labor shortage pose significant challenges in rice farming. Direct-seeded rice (DSR) is an efficient method that conserves water, reduces labor costs, and allows for full mechanization of cultivation. However, variable planting depth in undulated field leading to deep/shallow sowing of rice seeds during mechanical sowing presents a major hurdle, as existing varieties lack tolerance to deep sowing. To address this, a mapping population comprising 150 F<sub>4</sub> lines, derived from MTU 1010 and AUS295, was developed and phenotyped for emergence from deep soil depth-related traits, including days of emergence (DE), percent germination (PG), mesocotyl length (ML), and coleoptile length (CL). The correlation revealed that DE has a significant negative correlation with PG, ML, and CL, whereas PG, ML, and CL are all positively correlated with each other. The mapping population was genotyped with mid-density SNP assay (1k-RiCA), and a linkage map was established with 414 polymorphic SNP markers. A total of 16 QTLs were identified for four traits, with phenotypic variance explained (PVE) ranging from 6.63% to 19.6% in the WS22. These included 5 QTLs for DE, 3 QTLs for PG, 4 QTLs for ML, and 4 QTLs for CL. Out of 16 QTLs identified, 12 were major effect QTLs (<i>qDE<sub>1.2</sub></i> , <i>qDE<sub>1.3</sub></i> , <i>qDE<sub>1.4</sub></i> , <i>qDE<sub>2.1</sub></i> , <i>qDE<sub>12</sub></i> , <i>qPG<sub>2.1</sub>, qPG<sub>2.2</sub>, qML<sub>2.1</sub>, qML<sub>2.2</sub></i> , <i>qCL<sub>1</sub></i> , <i>qCL<sub>2.2</sub>, qCL<sub>2.3</sub></i> ) and 4 were minor effect QTLs (<i>qPG<sub>1</sub>, qML<sub>1.2</sub>, qCL<sub>2.1</sub></i> ). During DS23 season, QTL analysis for DE and PG traits identified seven and three QTLs, respectively. Out of the ten QTLs identified in DS23 season, eight were stable across the season. This study reported 11 novel QTLs, while 7 had been previously reported. The study pinpointed three QTL hotspot regions: one on chromosome 1 (<i>qPG<sub>1</sub></i> , <i>qCL<sub>1</sub></i> ) and two on chromosome 2 (<i>qPG<sub>2.1</sub>, qML<sub>2.2</sub>, qCL<sub>2.1</sub></i> ) and (<i>qPG<sub>2.2</sub>, qCL<sub>2.2</sub></i> ). Candidate gene analysis in the identified QTL regions found two genes associated with hormonal pathways: <i>OsSLR1</i> for gibberellin signaling and <i>OsSAUR11</i> for abscisic acid signaling. Additionally, one gene (<i>OsMT3a</i>) associated with early seedling vigor and another (<i>OsABA8ox1</i>) regulates germination through coleoptile growth. The identified QTLs, genes, and breeding lines from this study provide valuable resources for developing rice varieties with enhanced tolerance to deep soil emergence, making them well-suited for mechanized DSR systems.</p>\",\"PeriodicalId\":12632,\"journal\":{\"name\":\"Frontiers in Plant Science\",\"volume\":\"15 \",\"pages\":\"1512234\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2025-01-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11814172/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Plant Science\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.3389/fpls.2024.1512234\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"PLANT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Plant Science","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.3389/fpls.2024.1512234","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

水资源短缺和劳动力短缺对水稻种植构成了重大挑战。直接播种水稻(DSR)是一种有效的方法,可以节约用水,降低劳动力成本,并允许完全机械化种植。然而,由于现有品种对深播的耐受性不足,在起伏田中不同的播种深度导致机械播种时水稻种子深播/浅播是一个主要障碍。为了解决这个问题,开发了一个由150个F4系组成的作图群体,来自MTU 1010和AUS295,并对与深土壤深度相关的性状进行了出苗表型分析,包括出苗天数(DE),发芽率(PG),中胚轴长度(ML)和胚芽长度(CL)。相关性分析显示,DE与PG、ML、CL呈显著负相关,PG、ML、CL呈显著正相关。用中密度SNP法(1k-RiCA)对定位群体进行基因分型,建立了包含414个多态性SNP标记的连锁图谱。4个性状共鉴定出16个qtl,表型方差解释(PVE)在6.63% ~ 19.6%之间。这些qtl包括5个DE qtl, 3个PG qtl, 4个ML qtl和4个CL qtl。在鉴定的16个qtl中,12个为主要效应qtl (qDE1.2、qDE1.3、qDE1.4、qDE2.1、qDE12、qPG2.1、qPG2.2、qML2.1、qCL1、qCL2.2、qCL2.3), 4个为次要效应qtl (qPG1、qML1.2、qCL2.1)。在DS23季节,DE和PG性状的QTL分析分别鉴定出7个和3个QTL。在DS23季节鉴定的10个qtl中,8个在整个季节都是稳定的。本研究报道了11个新的qtl,而先前报道的qtl只有7个。该研究确定了三个QTL热点区域:1号染色体上的一个(qPG1, qCL1)和2号染色体上的两个(qPG2.1, qML2.2, qCL2.1)和(qPG2.2, qCL2.2)。在已鉴定的QTL区域进行候选基因分析,发现两个与激素通路相关的基因:赤霉素信号通路的OsSLR1和脱落酸信号通路的OsSAUR11。此外,一个基因(OsMT3a)与早期幼苗活力相关,另一个基因(OsABA8ox1)通过胚芽鞘生长调节发芽。本研究所鉴定的qtl、基因和选育品系,为培育更适合机械化DSR系统的耐深土萌发水稻品种提供了宝贵的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Unveiling genetic basis of seedling emergence from deep soil depth under dry direct- seeded conditions in rice (Oryza sativa L.).

Water scarcity and labor shortage pose significant challenges in rice farming. Direct-seeded rice (DSR) is an efficient method that conserves water, reduces labor costs, and allows for full mechanization of cultivation. However, variable planting depth in undulated field leading to deep/shallow sowing of rice seeds during mechanical sowing presents a major hurdle, as existing varieties lack tolerance to deep sowing. To address this, a mapping population comprising 150 F4 lines, derived from MTU 1010 and AUS295, was developed and phenotyped for emergence from deep soil depth-related traits, including days of emergence (DE), percent germination (PG), mesocotyl length (ML), and coleoptile length (CL). The correlation revealed that DE has a significant negative correlation with PG, ML, and CL, whereas PG, ML, and CL are all positively correlated with each other. The mapping population was genotyped with mid-density SNP assay (1k-RiCA), and a linkage map was established with 414 polymorphic SNP markers. A total of 16 QTLs were identified for four traits, with phenotypic variance explained (PVE) ranging from 6.63% to 19.6% in the WS22. These included 5 QTLs for DE, 3 QTLs for PG, 4 QTLs for ML, and 4 QTLs for CL. Out of 16 QTLs identified, 12 were major effect QTLs (qDE1.2 , qDE1.3 , qDE1.4 , qDE2.1 , qDE12 , qPG2.1, qPG2.2, qML2.1, qML2.2 , qCL1 , qCL2.2, qCL2.3 ) and 4 were minor effect QTLs (qPG1, qML1.2, qCL2.1 ). During DS23 season, QTL analysis for DE and PG traits identified seven and three QTLs, respectively. Out of the ten QTLs identified in DS23 season, eight were stable across the season. This study reported 11 novel QTLs, while 7 had been previously reported. The study pinpointed three QTL hotspot regions: one on chromosome 1 (qPG1 , qCL1 ) and two on chromosome 2 (qPG2.1, qML2.2, qCL2.1 ) and (qPG2.2, qCL2.2 ). Candidate gene analysis in the identified QTL regions found two genes associated with hormonal pathways: OsSLR1 for gibberellin signaling and OsSAUR11 for abscisic acid signaling. Additionally, one gene (OsMT3a) associated with early seedling vigor and another (OsABA8ox1) regulates germination through coleoptile growth. The identified QTLs, genes, and breeding lines from this study provide valuable resources for developing rice varieties with enhanced tolerance to deep soil emergence, making them well-suited for mechanized DSR systems.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Frontiers in Plant Science
Frontiers in Plant Science PLANT SCIENCES-
CiteScore
7.30
自引率
14.30%
发文量
4844
审稿时长
14 weeks
期刊介绍: In an ever changing world, plant science is of the utmost importance for securing the future well-being of humankind. Plants provide oxygen, food, feed, fibers, and building materials. In addition, they are a diverse source of industrial and pharmaceutical chemicals. Plants are centrally important to the health of ecosystems, and their understanding is critical for learning how to manage and maintain a sustainable biosphere. Plant science is extremely interdisciplinary, reaching from agricultural science to paleobotany, and molecular physiology to ecology. It uses the latest developments in computer science, optics, molecular biology and genomics to address challenges in model systems, agricultural crops, and ecosystems. Plant science research inquires into the form, function, development, diversity, reproduction, evolution and uses of both higher and lower plants and their interactions with other organisms throughout the biosphere. Frontiers in Plant Science welcomes outstanding contributions in any field of plant science from basic to applied research, from organismal to molecular studies, from single plant analysis to studies of populations and whole ecosystems, and from molecular to biophysical to computational approaches. Frontiers in Plant Science publishes articles on the most outstanding discoveries across a wide research spectrum of Plant Science. The mission of Frontiers in Plant Science is to bring all relevant Plant Science areas together on a single platform.
期刊最新文献
Bacillus subtilis 8-32 enhances tomato growth and reshapes rhizosphere microbial communities: insights into plant-microbe interactions. Biodegradable film: a sustainable alternative to polyethylene film for Loess Plateau maize production. A novel in vitro cyclic micropropagation protocol and assessment of genetic fidelity in the critically endangered woody species Carpinus putoensis. A novel QTL GSE3.1 regulates grain size and weight in rice. Micro- and nanoplastics-induced stress in plants: uptake, physiological disruption, and toxicity mechanisms.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1