Pub Date : 2023-10-26eCollection Date: 2023-11-01DOI: 10.1007/s11032-023-01424-x
Xiaoguang Lu, Di Zhang, Yi Zhang, Xing Liu, Sheng Wang, Xin Liu
Pre-harvest sprouting (PHS) frequently occurs in rice due to the long spells of rainy weather, and causes severe yield loss and grain quality decrease. Here, we identified one PHS-related gene OsCNX1 cloned from rice PHS mutant, which encoded a molybdenum cofactor (MoCo) biosynthesis enzyme. Genetic complementation indicated OsCNX1 could rescue the PHS and seedling lethal phenotype of the mutant. Expression pattern showed that OsCNX1 was expressed in rice tissue including seedling shoot, culm, blade, and sheath of flag leaf, young panicle, and the seeds at different development stages. Overexpression of OsCNX1 significantly decreased the plant height, and the seed germination of the dormant seeds harvested from fresh panicles, comparing to the wild type (WT). In addition, 1492 differentially expressed genes (DEGs) were identified between OsCNX1-overexpressed line and WT by RNA-sequencing, which were mainly classified in plant-pathogen interaction, plant hormone signal transduction, and starch/sucrose metabolism. These results showed that OsCNX1 was not only necessary for rice seed germination, but also participated in plant development, indicating that OsCNX1 may be useful in rice breeding of PHS resistance and plant height.
Supplementary information: The online version contains supplementary material available at 10.1007/s11032-023-01424-x.
{"title":"The molybdenum cofactor biosynthesis gene, <i>OsCNX1</i>, is essential for seedling development and seed germination in rice.","authors":"Xiaoguang Lu, Di Zhang, Yi Zhang, Xing Liu, Sheng Wang, Xin Liu","doi":"10.1007/s11032-023-01424-x","DOIUrl":"10.1007/s11032-023-01424-x","url":null,"abstract":"<p><p>Pre-harvest sprouting (PHS) frequently occurs in rice due to the long spells of rainy weather, and causes severe yield loss and grain quality decrease. Here, we identified one PHS-related gene <i>OsCNX1</i> cloned from rice PHS mutant, which encoded a molybdenum cofactor (MoCo) biosynthesis enzyme. Genetic complementation indicated <i>OsCNX1</i> could rescue the PHS and seedling lethal phenotype of the mutant. Expression pattern showed that <i>OsCNX1</i> was expressed in rice tissue including seedling shoot, culm, blade, and sheath of flag leaf, young panicle, and the seeds at different development stages. Overexpression of <i>OsCNX1</i> significantly decreased the plant height, and the seed germination of the dormant seeds harvested from fresh panicles, comparing to the wild type (WT). In addition, 1492 differentially expressed genes (DEGs) were identified between <i>OsCNX1</i>-overexpressed line and WT by RNA-sequencing, which were mainly classified in plant-pathogen interaction, plant hormone signal transduction, and starch/sucrose metabolism. These results showed that <i>OsCNX1</i> was not only necessary for rice seed germination, but also participated in plant development, indicating that <i>OsCNX1</i> may be useful in rice breeding of PHS resistance and plant height.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s11032-023-01424-x.</p>","PeriodicalId":18769,"journal":{"name":"Molecular Breeding","volume":"43 11","pages":"77"},"PeriodicalIF":2.6,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616024/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71425099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-20eCollection Date: 2023-11-01DOI: 10.1007/s11032-023-01422-z
Pengfang Qiao, Xuan Li, Dezheng Liu, Shan Lu, Lei Zhi, Aiman Rysbekova, Liang Chen, Yin-Gang Hu
Bread wheat (Triticum aestivum L.) is a global staple crop vital for human nutrition. Heading date (HD) and flowering date (FD) are critical traits influencing wheat growth, development, and adaptability to diverse environmental conditions. A comprehensive study were conducted involving 190 bread wheat accessions to unravel the genetic basis of HD and FD using high-throughput genotyping and multi-environment field trials. Seven independent quantitative trait loci (QTLs) were identified to be significantly associated with HD and FD using two GWAS methods, which explained a proportion of phenotypic variance ranging from 1.43% to 9.58%. Notably, QTLs overlapping with known vernalization genes Vrn-D1 were found, validating their roles in regulating flowering time. Moreover, novel QTLs on chromosome 2A, 5B, 5D, and 7B associated with HD and FD were identified. The effects of these QTLs on HD and FD were confirmed in an additional set of 74 accessions across different environments. An increase in the frequency of alleles associated with early flowering in cultivars released in recent years was also observed, suggesting the influence of molecular breeding strategies. In summary, this study enhances the understanding of the genetic regulation of HD and FD in bread wheat, offering valuable insights into crop improvement for enhanced adaptability and productivity under changing climatic conditions. These identified QTLs and associated markers have the potential to improve wheat breeding programs in developing climate-resilient varieties to ensure food security.
Supplementary information: The online version contains supplementary material available at 10.1007/s11032-023-01422-z.
{"title":"Mining novel genomic regions and candidate genes of heading and flowering dates in bread wheat by SNP- and haplotype-based GWAS.","authors":"Pengfang Qiao, Xuan Li, Dezheng Liu, Shan Lu, Lei Zhi, Aiman Rysbekova, Liang Chen, Yin-Gang Hu","doi":"10.1007/s11032-023-01422-z","DOIUrl":"10.1007/s11032-023-01422-z","url":null,"abstract":"<p><p>Bread wheat (<i>Triticum aestivum</i> L.) is a global staple crop vital for human nutrition. Heading date (HD) and flowering date (FD) are critical traits influencing wheat growth, development, and adaptability to diverse environmental conditions. A comprehensive study were conducted involving 190 bread wheat accessions to unravel the genetic basis of HD and FD using high-throughput genotyping and multi-environment field trials. Seven independent quantitative trait loci (QTLs) were identified to be significantly associated with HD and FD using two GWAS methods, which explained a proportion of phenotypic variance ranging from 1.43% to 9.58%. Notably, QTLs overlapping with known vernalization genes <i>Vrn-D1</i> were found, validating their roles in regulating flowering time. Moreover, novel QTLs on chromosome 2A, 5B, 5D, and 7B associated with HD and FD were identified. The effects of these QTLs on HD and FD were confirmed in an additional set of 74 accessions across different environments. An increase in the frequency of alleles associated with early flowering in cultivars released in recent years was also observed, suggesting the influence of molecular breeding strategies. In summary, this study enhances the understanding of the genetic regulation of HD and FD in bread wheat, offering valuable insights into crop improvement for enhanced adaptability and productivity under changing climatic conditions. These identified QTLs and associated markers have the potential to improve wheat breeding programs in developing climate-resilient varieties to ensure food security.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s11032-023-01422-z.</p>","PeriodicalId":18769,"journal":{"name":"Molecular Breeding","volume":"43 11","pages":"76"},"PeriodicalIF":2.6,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587053/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49691489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-18eCollection Date: 2023-10-01DOI: 10.1007/s11032-023-01419-8
Daniel Mertten, Samantha Baldwin, Canhong H Cheng, John McCallum, Susan Thomson, David T Ashton, Catherine M McKenzie, Michael Lenhard, Paul M Datson
In dioecious crops such as Actinidia arguta (kiwiberries), some of the main challenges when breeding for fruit characteristics are the selection of potential male parents and the long juvenile period. Currently, breeding values of male parents are estimated through progeny tests, which makes the breeding of new kiwiberry cultivars time-consuming and costly. The application of best linear unbiased prediction (BLUP) would allow direct estimation of sex-related traits and speed up kiwiberry breeding. In this study, we used a linear mixed model approach to estimate narrow sense heritability for one vine-related trait and five fruit-related traits for two incomplete factorial crossing designs. We obtained BLUPs for all genotypes, taking into consideration whether the relationship was pedigree-based or marker-based. Owing to the high cost of genome sequencing, it is important to understand the effects of different sources of relationship matrices on estimating breeding values across a breeding population. Because of the increasing implementation of genomic selection in crop breeding, we compared the effects of incorporating different sources of information in building relationship matrices and ploidy levels on the accuracy of BLUPs' heritability and predictive ability. As kiwiberries are autotetraploids, multivalent chromosome formation and occasionally double reduction can occur during meiosis, and this can affect the accuracy of prediction. This study innovates the breeding programme of autotetraploid kiwiberries. We demonstrate that the accuracy of BLUPs of male siblings, without phenotypic observations, strongly improved when a tetraploid marker-based relationship matrix was used rather than parental BLUPs and female siblings with phenotypic observations.
Supplementary information: The online version contains supplementary material available at 10.1007/s11032-023-01419-8.
{"title":"Implementation of different relationship estimate methodologies in breeding value prediction in kiwiberry (<i>Actinidia arguta</i>).","authors":"Daniel Mertten, Samantha Baldwin, Canhong H Cheng, John McCallum, Susan Thomson, David T Ashton, Catherine M McKenzie, Michael Lenhard, Paul M Datson","doi":"10.1007/s11032-023-01419-8","DOIUrl":"10.1007/s11032-023-01419-8","url":null,"abstract":"<p><p>In dioecious crops such as <i>Actinidia arguta</i> (kiwiberries), some of the main challenges when breeding for fruit characteristics are the selection of potential male parents and the long juvenile period. Currently, breeding values of male parents are estimated through progeny tests, which makes the breeding of new kiwiberry cultivars time-consuming and costly. The application of best linear unbiased prediction (BLUP) would allow direct estimation of sex-related traits and speed up kiwiberry breeding. In this study, we used a linear mixed model approach to estimate narrow sense heritability for one vine-related trait and five fruit-related traits for two incomplete factorial crossing designs. We obtained BLUPs for all genotypes, taking into consideration whether the relationship was pedigree-based or marker-based. Owing to the high cost of genome sequencing, it is important to understand the effects of different sources of relationship matrices on estimating breeding values across a breeding population. Because of the increasing implementation of genomic selection in crop breeding, we compared the effects of incorporating different sources of information in building relationship matrices and ploidy levels on the accuracy of BLUPs' heritability and predictive ability. As kiwiberries are autotetraploids, multivalent chromosome formation and occasionally double reduction can occur during meiosis, and this can affect the accuracy of prediction. This study innovates the breeding programme of autotetraploid kiwiberries. We demonstrate that the accuracy of BLUPs of male siblings, without phenotypic observations, strongly improved when a tetraploid marker-based relationship matrix was used rather than parental BLUPs and female siblings with phenotypic observations.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s11032-023-01419-8.</p>","PeriodicalId":18769,"journal":{"name":"Molecular Breeding","volume":"43 10","pages":"75"},"PeriodicalIF":3.1,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584781/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49691488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-11eCollection Date: 2023-10-01DOI: 10.1007/s11032-023-01421-0
Andreas Peil, Nicholas P Howard, Simone Bühlmann-Schütz, Ines Hiller, Henk Schouten, Henryk Flachowsky, Andrea Patocchi
The apple (Malus x domestica) scab (Venturia inaequalis) resistance genes Rvi4 and Rvi15 were mapped to a similar region on the top of linkage group 2 and both resistance genes elicit the same type of resistance reaction, i.e., a hypersensitive response; hence, it is suspected that the two genes may be the same. As the two resistance genes Rvi4 and Rvi15 are currently used in apple breeding, it is important to clarify whether the two resistance genes are the same or not. Several approaches were used to make this determination. First, the pedigree of the genotype GMAL 2473, the source of Rvi15, was reconstructed. GMAL 2473 was found to be an F1 of 'Russian seedling', the genotype, which is known to also be the source of Rvi4. Next, it was further demonstrated that 'Regia', a cultivar known to carry Rvi4 (and Rvi2), carries the same gene (Vr2-C), which was demonstrated to be the gene inducing Rvi15 resistance. Finally, it was shown that transgenic lines carrying Vr2-C are compatible with race 4 apple scab isolates. Taken all together, these results definitively demonstrate that Rvi4 and Rvi15 are the same resistance gene. For future studies, we suggest referring to this resistance with the first name that was assigned to this gene, namely Rvi4.
Supplementary information: The online version contains supplementary material available at 10.1007/s11032-023-01421-0.
苹果(Malus x domestica)赤霉病(Venturia inaequival)抗性基因Rvi4和Rvi15被定位到连锁群2顶部的相似区域,并且这两个抗性基因引发相同类型的抗性反应,即超敏反应;因此,人们怀疑这两个基因可能是相同的。由于Rvi4和Rvi15这两个抗性基因目前在苹果育种中使用,因此澄清这两个抗病基因是否相同很重要。作出这一决定采用了几种方法。首先,对Rvi15的来源GMAL2473基因型的家系进行了重建。GMAL 2473被发现是“俄罗斯幼苗”的F1,该基因型也是Rvi4的来源。接下来,进一步证明了“Regia”,一个已知携带Rvi4(和Rvi2)的品种,携带相同的基因(Vr2-C),这被证明是诱导Rvi15抗性的基因。最后,表明携带Vr2-C的转基因系与小种4苹果赤霉病分离株是相容的。总之,这些结果明确证明Rvi4和Rvi15是相同的抗性基因。对于未来的研究,我们建议用该基因的第一个名字,即Rvi4来指代这种抗性。补充信息:在线版本包含补充材料,可在10.1007/s11032-023-01421-0上获得。
{"title":"<i>Rvi4</i> and <i>Rvi15</i> are the same apple scab resistance genes.","authors":"Andreas Peil, Nicholas P Howard, Simone Bühlmann-Schütz, Ines Hiller, Henk Schouten, Henryk Flachowsky, Andrea Patocchi","doi":"10.1007/s11032-023-01421-0","DOIUrl":"10.1007/s11032-023-01421-0","url":null,"abstract":"<p><p>The apple (<i>Malus</i> x <i>domestica</i>) scab (<i>Venturia inaequalis</i>) resistance genes <i>Rvi4</i> and <i>Rvi15</i> were mapped to a similar region on the top of linkage group 2 and both resistance genes elicit the same type of resistance reaction, i.e., a hypersensitive response; hence, it is suspected that the two genes may be the same. As the two resistance genes <i>Rvi4</i> and <i>Rvi15</i> are currently used in apple breeding, it is important to clarify whether the two resistance genes are the same or not. Several approaches were used to make this determination. First, the pedigree of the genotype GMAL 2473, the source of <i>Rvi15</i>, was reconstructed. GMAL 2473 was found to be an F1 of 'Russian seedling', the genotype, which is known to also be the source of <i>Rvi4</i>. Next, it was further demonstrated that 'Regia', a cultivar known to carry <i>Rvi4</i> (and <i>Rvi2</i>), carries the same gene (<i>Vr2-C</i>), which was demonstrated to be the gene inducing <i>Rvi15</i> resistance. Finally, it was shown that transgenic lines carrying <i>Vr2-C</i> are compatible with race <i>4</i> apple scab isolates. Taken all together, these results definitively demonstrate that <i>Rvi4</i> and <i>Rvi15</i> are the same resistance gene. For future studies, we suggest referring to this resistance with the first name that was assigned to this gene, namely <i>Rvi4</i>.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s11032-023-01421-0.</p>","PeriodicalId":18769,"journal":{"name":"Molecular Breeding","volume":"43 10","pages":"74"},"PeriodicalIF":3.1,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10564682/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41205340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tomato is a leading vegetable in modern agriculture, and with global warming, drought has become an important factor threatening tomato production. Mitogen-activated protein kinase 3 (MAPK3) plays an important role in plant disease and stress resistance. To clarify the downstream target proteins of SlMAPK3 and the mechanism of stress resistance in tomato, this study was conducted with the SlMAPK3-overexpressing lines OE-1 and OE-2 and the CRISPR/Cas9-mediated mutant lines slmapk3-1 and slmapk3-2 under PEG 6000-simulated drought. The results of yeast two-hybrid (Y2H), pull-down, and coimmunoprecipitation (Co-IP) assays confirmed that SlASR4 (NP_001269248.1) interacted with SlMAPK3. Analyses of the SlASR4 protein structure and SlASR4 expression under PEG 6000 and BTH stress revealed that SlASR4 has a highly conserved protein structural domain involved in the drought stress response under PEG 6000 treatment. The function of the SlASR4 and SlMAPK3 downstream target protein, in drought resistance in tomato plants, was identified by virus-induced gene silencing (VIGS). This study clarified that SlMAPK3 interacts with SlASR4 to positively regulate drought resistance in tomato plants.
{"title":"Interaction between SlMAPK3 and SlASR4 regulates drought resistance in tomato (<i>Solanum lycopersicum</i> L.).","authors":"Xin Huang, Jian-Ming Wei, Wen-Zhuo Feng, Qing Luo, Guo-Fei Tan, Yun-Zhou Li","doi":"10.1007/s11032-023-01418-9","DOIUrl":"10.1007/s11032-023-01418-9","url":null,"abstract":"<p><p>Tomato is a leading vegetable in modern agriculture, and with global warming, drought has become an important factor threatening tomato production. Mitogen-activated protein kinase 3 (MAPK3) plays an important role in plant disease and stress resistance. To clarify the downstream target proteins of SlMAPK3 and the mechanism of stress resistance in tomato, this study was conducted with the <i>SlMAPK3</i>-overexpressing lines OE-1 and OE-2 and the CRISPR/Cas9-mediated mutant lines <i>slmapk3-1</i> and <i>slmapk3-2</i> under PEG 6000-simulated drought. The results of yeast two-hybrid (Y2H), pull-down, and coimmunoprecipitation (Co-IP) assays confirmed that SlASR4 (NP_001269248.1) interacted with SlMAPK3. Analyses of the SlASR4 protein structure and <i>SlASR4</i> expression under PEG 6000 and BTH stress revealed that <i>SlASR4</i> has a highly conserved protein structural domain involved in the drought stress response under PEG 6000 treatment. The function of the SlASR4 and SlMAPK3 downstream target protein, in drought resistance in tomato plants, was identified by virus-induced gene silencing (VIGS). This study clarified that SlMAPK3 interacts with SlASR4 to positively regulate drought resistance in tomato plants.</p>","PeriodicalId":18769,"journal":{"name":"Molecular Breeding","volume":"43 10","pages":"73"},"PeriodicalIF":2.6,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545654/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41136771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Population and genotype data are essential for genetic mapping. The multi-parent advanced generation intercross (MAGIC) population is a permanent mapping population used for precisely mapping quantitative trait loci. Moreover, genotyping-by-target sequencing (GBTS) is a robust high-throughput genotyping technology characterized by its low cost, flexibility, and limited requirements for information management and support. In this study, an 8-way MAGIC population was constructed using eight elite founder lines. In addition, GenoBaits Peanut 40K was developed and utilized for the constructed MAGIC population. A subset (297 lines) of the MAGIC population at the S2 stage was genotyped using GenoBaits Peanut 40K. Furthermore, these lines and the eight parents were analyzed in terms of pod length, width, area, and perimeter. A total of 27 single nucleotide polymorphisms (SNPs) were revealed to be significantly associated with peanut pod size-related traits according to a genome-wide association study. The GenoBaits Peanut 40K provided herein and the constructed MAGIC population will be applicable for future research to identify the key genes responsible for important peanut traits.
Supplementary information: The online version contains supplementary material available at 10.1007/s11032-023-01417-w.
{"title":"Development and evaluation of the utility of GenoBaits Peanut 40K for a peanut MAGIC population.","authors":"Ziqi Sun, Zheng Zheng, Feiyan Qi, Juan Wang, Mengmeng Wang, Ruifang Zhao, Hua Liu, Jing Xu, Li Qin, Wenzhao Dong, Bingyan Huang, Suoyi Han, Xinyou Zhang","doi":"10.1007/s11032-023-01417-w","DOIUrl":"10.1007/s11032-023-01417-w","url":null,"abstract":"<p><p>Population and genotype data are essential for genetic mapping. The multi-parent advanced generation intercross (MAGIC) population is a permanent mapping population used for precisely mapping quantitative trait loci. Moreover, genotyping-by-target sequencing (GBTS) is a robust high-throughput genotyping technology characterized by its low cost, flexibility, and limited requirements for information management and support. In this study, an 8-way MAGIC population was constructed using eight elite founder lines. In addition, GenoBaits Peanut 40K was developed and utilized for the constructed MAGIC population. A subset (297 lines) of the MAGIC population at the S2 stage was genotyped using GenoBaits Peanut 40K. Furthermore, these lines and the eight parents were analyzed in terms of pod length, width, area, and perimeter. A total of 27 single nucleotide polymorphisms (SNPs) were revealed to be significantly associated with peanut pod size-related traits according to a genome-wide association study. The GenoBaits Peanut 40K provided herein and the constructed MAGIC population will be applicable for future research to identify the key genes responsible for important peanut traits.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s11032-023-01417-w.</p>","PeriodicalId":18769,"journal":{"name":"Molecular Breeding","volume":"43 10","pages":"72"},"PeriodicalIF":3.1,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10542084/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41136770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The phenotypic color of seeds is a complex agronomic trait and has economic and biological significance. The genetic control and molecular regulation mechanisms have been extensively studied. Here, we used a multi-omics strategy to explore the color formation in soybean seeds at a big data scale. We identified 13 large quantitative trait loci (QTL) for color with bulk segregating analysis in recombinant inbreeding lines. GWAS analysis of colors and decomposed attributes in 763 germplasms revealed associated SNP sites perfectly falling in five major QTL, suggesting inherited regulation on color during natural selection. Further transcriptomics analysis before and after color accumulation revealed 182 differentially expression genes (DEGs) in the five QTL, including known genes CHS, MYB, and F3'H involved in pigment accumulation. More DEGs with consistently upregulation or downregulation were identified as shared regulatory genes for two or more color formations while some DEGs were only for a specific color formation. For example, five upregulated DEGs in QTL qSC-3 were in flavonoid biosynthesis responsible for black and brown seed. The DEG (Glyma.08G085400) was identified in the purple seed only, which encodes gibberellin 2-beta-dioxygenase in the metabolism of colorful terpenoids. The candidate genes are involved in flavonoid biosynthesis, transcription factor regulation, gibberellin and terpenoid metabolism, photosynthesis, ascorbate and aldarate metabolism, and lipid metabolism. Seven differentially expressed transcription factors were also speculated that may regulate color formation, including a known MYB. The finds expand QTL and gene candidates for color formation, which could guide to breed better cultivars with designed colors.
Supplementary information: The online version contains supplementary material available at 10.1007/s11032-023-01414-z.
{"title":"An omics strategy increasingly improves the discovery of genetic loci and genes for seed-coat color formation in soybean.","authors":"Jian Song, Ruixin Xu, Qingyuan Guo, Caiyu Wu, Yinghui Li, Xuewen Wang, Jun Wang, Li-Juan Qiu","doi":"10.1007/s11032-023-01414-z","DOIUrl":"10.1007/s11032-023-01414-z","url":null,"abstract":"<p><p>The phenotypic color of seeds is a complex agronomic trait and has economic and biological significance. The genetic control and molecular regulation mechanisms have been extensively studied. Here, we used a multi-omics strategy to explore the color formation in soybean seeds at a big data scale. We identified 13 large quantitative trait loci (QTL) for color with bulk segregating analysis in recombinant inbreeding lines. GWAS analysis of colors and decomposed attributes in 763 germplasms revealed associated SNP sites perfectly falling in five major QTL, suggesting inherited regulation on color during natural selection. Further transcriptomics analysis before and after color accumulation revealed 182 differentially expression genes (DEGs) in the five QTL, including known genes <i>CHS</i>, <i>MYB</i>, and <i>F3</i>'<i>H</i> involved in pigment accumulation. More DEGs with consistently upregulation or downregulation were identified as shared regulatory genes for two or more color formations while some DEGs were only for a specific color formation. For example, five upregulated DEGs in QTL <i>qSC-3</i> were in flavonoid biosynthesis responsible for black and brown seed. The DEG (<i>Glyma.08G085400</i>) was identified in the purple seed only, which encodes gibberellin 2-beta-dioxygenase in the metabolism of colorful terpenoids. The candidate genes are involved in flavonoid biosynthesis, transcription factor regulation, gibberellin and terpenoid metabolism, photosynthesis, ascorbate and aldarate metabolism, and lipid metabolism. Seven differentially expressed transcription factors were also speculated that may regulate color formation, including a known MYB. The finds expand QTL and gene candidates for color formation, which could guide to breed better cultivars with designed colors.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s11032-023-01414-z.</p>","PeriodicalId":18769,"journal":{"name":"Molecular Breeding","volume":"43 9","pages":"71"},"PeriodicalIF":2.6,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10471558/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10506048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-28eCollection Date: 2023-09-01DOI: 10.1007/s11032-023-01416-x
Ke Yang, Hongmei Liu, Weihua Jiang, Yinxia Hu, Zhiyang Zhou, Xin An, Si Miao, Yushi Qin, Bo Du, Lili Zhu, Guangcun He, Rongzhi Chen
Rice (Oryza sativa L.) is a staple food crop globally. Brown planthopper (Nilaparvata lugens Stål, BPH) is the most destructive insect that threatens rice production annually. More than 40 BPH resistance genes have been identified so far, which provide valuable gene resources for marker-assisted breeding against BPH. However, it is still urgent to evaluate rice germplasms and to explore more new wide-spectrum BPH resistance genes to combat newly occurring virulent BPH populations. To this end, 560 germplasm accessions were collected from the International Rice Research Institute (IRRI), and their resistance to current BPH population of China was examined. A total of 105 highly resistant materials were identified. Molecular screening of BPH resistance genes in these rice germplasms was conducted by developing specific functional molecular markers of eight cloned resistance genes. Twenty-three resistant germplasms were found to contain none of the 8 cloned BPH resistance genes. These accessions also exhibited a variety of resistance mechanisms as indicated by an improved insect weight gain (WG) method, suggesting the existence of new resistance genes. One new BPH resistance gene, Bph44(t), was identified in rice accession IRGC 15344 and preliminarily mapped to a 0-2 Mb region on chromosome 4. This study systematically sorted out the corresponding relationships between BPH resistance genes and germplasm resources using a functional molecular marker system. Newly explored resistant germplasms will provide valualble donors for the identification of new resistance genes and BPH resistance breeding programs.
Supplementary information: The online version contains supplementary material available at 10.1007/s11032-023-01416-x.
{"title":"Large scale rice germplasm screening for identification of novel brown planthopper resistance sources.","authors":"Ke Yang, Hongmei Liu, Weihua Jiang, Yinxia Hu, Zhiyang Zhou, Xin An, Si Miao, Yushi Qin, Bo Du, Lili Zhu, Guangcun He, Rongzhi Chen","doi":"10.1007/s11032-023-01416-x","DOIUrl":"10.1007/s11032-023-01416-x","url":null,"abstract":"<p><p>Rice (<i>Oryza sativa</i> L.) is a staple food crop globally. Brown planthopper (<i>Nilaparvata lugens</i> Stål, BPH) is the most destructive insect that threatens rice production annually. More than 40 BPH resistance genes have been identified so far, which provide valuable gene resources for marker-assisted breeding against BPH. However, it is still urgent to evaluate rice germplasms and to explore more new wide-spectrum BPH resistance genes to combat newly occurring virulent BPH populations. To this end, 560 germplasm accessions were collected from the International Rice Research Institute (IRRI), and their resistance to current BPH population of China was examined. A total of 105 highly resistant materials were identified. Molecular screening of BPH resistance genes in these rice germplasms was conducted by developing specific functional molecular markers of eight cloned resistance genes. Twenty-three resistant germplasms were found to contain none of the 8 cloned BPH resistance genes. These accessions also exhibited a variety of resistance mechanisms as indicated by an improved insect weight gain (WG) method, suggesting the existence of new resistance genes. One new BPH resistance gene, <i>Bph44</i>(<i>t</i>), was identified in rice accession IRGC 15344 and preliminarily mapped to a 0-2 Mb region on chromosome 4. This study systematically sorted out the corresponding relationships between BPH resistance genes and germplasm resources using a functional molecular marker system. Newly explored resistant germplasms will provide valualble donors for the identification of new resistance genes and BPH resistance breeding programs.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s11032-023-01416-x.</p>","PeriodicalId":18769,"journal":{"name":"Molecular Breeding","volume":"43 9","pages":"70"},"PeriodicalIF":2.6,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462578/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10118742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-22eCollection Date: 2023-09-01DOI: 10.1007/s11032-023-01412-1
Anil A Hake, Suneel Ballichatla, Kalyani M Barbadikar, Nakul Magar, Shubhankar Dutta, C G Gokulan, Komal Awalellu, Hitendra K Patel, Ramesh V Sonti, Amol S Phule, Embadi Prashanth Varma, Pradeep Goud Ayeella, Poloju Vamshi, R M Sundaram, Sheshu Madhav Maganti
Complete panicle exsertion (CPE) in rice is an important determinant of yield and a desirable trait in breeding. However, the genetic basis of CPE in rice still remains to be completely characterized. An ethyl methane sulfonate (EMS) mutant line of an elite cultivar Samba Mahsuri (BPT 5204), displaying stable and consistent CPE, was identified and named as CPE-110. MutMap and RNA-seq were deployed for unraveling the genomic regions, genes, and markers associated with CPE. Two major genomic intervals, on chromosome 8 (25668481-25750456) and on chromosome 11 (20147154-20190400), were identified to be linked to CPE through MutMap. A non-synonymous SNP (G/A; Chr8:25683828) in the gene LOC_Os08g40570 encoding pyridoxamine 5'-phosphate oxidase with the SNP index 1 was converted to Kompetitive allele-specific PCR (KASP) marker. This SNP (KASP 8-1) exhibited significant association with CPE and further validated through assay in the F2 mapping population, released varieties and CPE exhibiting BPT 5204 mutant lines. RNA-seq of the flag leaves at the booting stage, 1100 genes were upregulated and 1305 downregulated differentially in CPE-110 and BPT 5204. Metabolic pathway analysis indicated an enrichment of genes involved in photosynthesis, glyoxylate, dicarboxylate, porphyrin, pyruvate, chlorophyll, carotenoid, and carbon metabolism. Further molecular and functional studies of the candidate genes could reveal the mechanistic aspects of CPE.
Supplementary information: The online version contains supplementary material available at 10.1007/s11032-023-01412-1.
{"title":"Combined strategy employing MutMap and RNA-seq reveals genomic regions and genes associated with complete panicle exsertion in rice.","authors":"Anil A Hake, Suneel Ballichatla, Kalyani M Barbadikar, Nakul Magar, Shubhankar Dutta, C G Gokulan, Komal Awalellu, Hitendra K Patel, Ramesh V Sonti, Amol S Phule, Embadi Prashanth Varma, Pradeep Goud Ayeella, Poloju Vamshi, R M Sundaram, Sheshu Madhav Maganti","doi":"10.1007/s11032-023-01412-1","DOIUrl":"10.1007/s11032-023-01412-1","url":null,"abstract":"<p><p>Complete panicle exsertion (CPE) in rice is an important determinant of yield and a desirable trait in breeding. However, the genetic basis of CPE in rice still remains to be completely characterized. An ethyl methane sulfonate (EMS) mutant line of an elite cultivar Samba Mahsuri (BPT 5204), displaying stable and consistent CPE, was identified and named as CPE-110. MutMap and RNA-seq were deployed for unraveling the genomic regions, genes, and markers associated with CPE. Two major genomic intervals, on chromosome 8 (25668481-25750456) and on chromosome 11 (20147154-20190400), were identified to be linked to CPE through MutMap. A non-synonymous SNP (G/A; Chr8:25683828) in the gene <i>LOC_Os08g40570</i> encoding pyridoxamine 5'-phosphate oxidase with the SNP index 1 was converted to Kompetitive allele-specific PCR (KASP) marker. This SNP (KASP 8-1) exhibited significant association with CPE and further validated through assay in the F<sub>2</sub> mapping population, released varieties and CPE exhibiting BPT 5204 mutant lines. RNA-seq of the flag leaves at the booting stage, 1100 genes were upregulated and 1305 downregulated differentially in CPE-110 and BPT 5204. Metabolic pathway analysis indicated an enrichment of genes involved in photosynthesis, glyoxylate, dicarboxylate, porphyrin, pyruvate, chlorophyll, carotenoid, and carbon metabolism. Further molecular and functional studies of the candidate genes could reveal the mechanistic aspects of CPE.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s11032-023-01412-1.</p>","PeriodicalId":18769,"journal":{"name":"Molecular Breeding","volume":"43 9","pages":"69"},"PeriodicalIF":2.6,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10444938/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10061866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-21eCollection Date: 2023-09-01DOI: 10.1007/s11032-023-01415-y
Zemin Ma, Jun Lv, Wenhua Wu, Dong Fu, Shiyou Lü, Yinggen Ke, Pingfang Yang
The rapid development of global industrialization has led to serious environmental problems, among which global warming has become one of the major concerns. The gradual rise in global temperature resulted in the loss of food production, and hence a serious threat to world food security. Rice is the main crop for approximately half of the world's population, and its geographic distribution, yield, and quality are frequently reduced due to elevated temperature stress, and breeding rice varieties with tolerance to heat stress is of immense significance. Therefore, it is critical to study the molecular mechanism of rice in response to heat stress. In the last decades, large amounts of studies have been conducted focusing on rice heat stress response. Valuable information has been obtained, which not only sheds light on the regulatory network underlying this physiological process but also provides some candidate genes for improved heat tolerance breeding in rice. In this review, we summarized the studies in this field. Hopefully, it will provide some new insights into the mechanisms of rice under high temperature stress and clues for future engineering breeding of improved heat tolerance rice.
{"title":"Regulatory network of rice in response to heat stress and its potential application in breeding strategy.","authors":"Zemin Ma, Jun Lv, Wenhua Wu, Dong Fu, Shiyou Lü, Yinggen Ke, Pingfang Yang","doi":"10.1007/s11032-023-01415-y","DOIUrl":"10.1007/s11032-023-01415-y","url":null,"abstract":"<p><p>The rapid development of global industrialization has led to serious environmental problems, among which global warming has become one of the major concerns. The gradual rise in global temperature resulted in the loss of food production, and hence a serious threat to world food security. Rice is the main crop for approximately half of the world's population, and its geographic distribution, yield, and quality are frequently reduced due to elevated temperature stress, and breeding rice varieties with tolerance to heat stress is of immense significance. Therefore, it is critical to study the molecular mechanism of rice in response to heat stress. In the last decades, large amounts of studies have been conducted focusing on rice heat stress response. Valuable information has been obtained, which not only sheds light on the regulatory network underlying this physiological process but also provides some candidate genes for improved heat tolerance breeding in rice. In this review, we summarized the studies in this field. Hopefully, it will provide some new insights into the mechanisms of rice under high temperature stress and clues for future engineering breeding of improved heat tolerance rice.</p>","PeriodicalId":18769,"journal":{"name":"Molecular Breeding","volume":"43 9","pages":"68"},"PeriodicalIF":2.6,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440324/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10413886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}