1
|
Sehgal D, Rathan ND, Özdemir F, Keser M, Akin B, Dababat AA, Koc E, Dreisigacker S, Morgounov A. Genomic wide association study and selective sweep analysis identify genes associated with improved yield under drought in Turkish winter wheat germplasm. Sci Rep 2024; 14:8431. [PMID: 38600135 PMCID: PMC11006659 DOI: 10.1038/s41598-024-57469-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 03/18/2024] [Indexed: 04/12/2024] Open
Abstract
A panel comprising of 84 Turkish winter wheat landraces (LR) and 73 modern varieties (MV) was analyzed with genome wide association study (GWAS) to identify genes/genomic regions associated with increased yield under favorable and drought conditions. In addition, selective sweep analysis was conducted to detect signatures of selection in the winter wheat genome driving the differentiation between LR and MV, to gather an understanding of genomic regions linked to adaptation and yield improvement. The panel was genotyped with 25 K wheat SNP array and phenotyped for agronomic traits for two growing seasons (2018 and 2019) in Konya, Turkey. Year 2018 was treated as drought environment due to very low precipitation prior to heading whereas year 2019 was considered as a favorable season. GWAS conducted with SNPs and haplotype blocks using mixed linear model identified 18 genomic regions in the vicinities of known genes i.e., TaERF3-3A, TaERF3-3B, DEP1-5A, FRIZZY PANICLE-2D, TaSnRK23-1A, TaAGL6-A, TaARF12-2A, TaARF12-2B, WAPO1, TaSPL16-7D, TaTGW6-A1, KAT-2B, TaOGT1, TaSPL21-6B, TaSBEIb, trs1/WFZP-A, TaCwi-A1-2A and TaPIN1-7A associated with grain yield (GY) and yield related traits. Haplotype-based GWAS identified five haplotype blocks (H1A-42, H2A-71, H4A-48, H7B-123 and H7B-124), with the favorable haplotypes showing a yield increase of > 700 kg/ha in the drought season. SNP-based GWAS, detected only one larger effect genomic region on chromosome 7B, in common with haplotype-based GWAS. On an average, the percentage variation (PV) explained by haplotypes was 8.0% higher than PV explained by SNPs for all the investigated traits. Selective sweep analysis detected 39 signatures of selection between LR and MV of which 15 were within proximity of known functional genes controlling flowering (PRR-A1, PPR-D1, TaHd1-6B), GY and GY components (TaSus2-2B, TaGS2-B1, AG1-1A/WAG1-1A, DUO-A1, DUO-B1, AG2-3A/WAG2-3A, TaLAX1, TaSnRK210-4A, FBP, TaLAX1, TaPIL1 and AP3-1-7A/WPA3-7A) and 10 regions underlying various transcription factors and regulatory genes. The study outcomes contribute to utilization of LR in breeding winter wheat.
Collapse
Affiliation(s)
- Deepmala Sehgal
- International Maize and Wheat Improvement Center (CIMMYT), Km. 45, Carretera Mex-Veracruz, El Batan, CP 56237, Veracruz, Mexico.
- Syngenta, Jealott's Hill International Research Centre, Bracknell, Berkshire, RG42 6EY, UK.
| | | | - Fatih Özdemir
- Bahri Dagdas International Agricultural Research Institute, Konya, Turkey
| | - Mesut Keser
- International Center for Agricultural Research in Dry Areas (ICARDA), Ankara, Turkey
| | - Beyhan Akin
- International Maize and Wheat Improvement Center (CIMMYT), Ankara, Turkey
| | | | - Emrah Koc
- International Maize and Wheat Improvement Center (CIMMYT), Ankara, Turkey
| | - Susanne Dreisigacker
- International Maize and Wheat Improvement Center (CIMMYT), Km. 45, Carretera Mex-Veracruz, El Batan, CP 56237, Veracruz, Mexico
| | - Alexey Morgounov
- Scientific Production Center of Grain, Shortandy, Astana reg., 010000, Kazakhstan.
| |
Collapse
|
2
|
Qin R, Cao M, Dong J, Chen L, Guo H, Guo Q, Cai Y, Han L, Huang Z, Xu N, Yang A, Xu H, Wu Y, Sun H, Liu X, Ling H, Zhao C, Li J, Cui F. Fine mapping of a major QTL, qKl-1BL controlling kernel length in common wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:67. [PMID: 38441674 DOI: 10.1007/s00122-024-04574-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 02/03/2024] [Indexed: 03/07/2024]
Abstract
KEY MESSAGE A major stable QTL, qKl-1BL, for kernel length of wheat was narrowed down to a 2.04-Mb interval on chromosome 1BL; the candidate genes were predicated and the genetic effects on yield-related traits were characterized. As a key factor influencing kernel weight, wheat kernel shape is closely related to yield formation, and in turn affects both wheat processing quality and market value. Fine mapping of the major quantitative trait loci (QTL) for kernel shape could provide genetic resources and a theoretical basis for the genetic improvement of wheat yield-related traits. In this study, a major QTL for kernel length (KL) on 1BL, named qKl-1BL, was identified from the recombinant inbred lines (RIL) in multiple environments based on the genetic map and physical map, with 4.76-21.15% of the phenotypic variation explained. To fine map qKl-1BL, the map-based cloning strategy was used. By using developed InDel markers, the near-isogenic line (NIL) pairs and eight key recombinants were identified from a segregating population containing 3621 individuals derived from residual heterozygous lines (RHLs) self-crossing. In combination with phenotype identification, qKl-1BL was finely positioned into a 2.04-Mb interval, KN1B:698.15-700.19 Mb, with eight differentially expressed genes enriched at the key period of kernel elongation. Based on transcriptome analysis and functional annotation information, two candidate genes for qKl-1BL controlling kernel elongation were identified. Additionally, genetic effect analysis showed that the superior allele of qKl-1BL from Jing411 could increase KL, thousand kernel weight (TKW), and yield per plant (YPP) significantly, as well as kernel bulk density and stability time. Taken together, this study identified a QTL interval for controlling kernel length with two possible candidate genes, which provides an important basis for qKl-1BL cloning, functional analysis, and application in molecular breeding programs.
Collapse
Affiliation(s)
- Ran Qin
- Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong, College of Agriculture, Ludong University, Yantai, 264025, China
| | - Mingsu Cao
- Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong, College of Agriculture, Ludong University, Yantai, 264025, China
| | - Jizi Dong
- Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong, College of Agriculture, Ludong University, Yantai, 264025, China
| | - Linqu Chen
- Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong, College of Agriculture, Ludong University, Yantai, 264025, China
| | - Haoru Guo
- Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong, College of Agriculture, Ludong University, Yantai, 264025, China
| | - Qingjie Guo
- Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong, College of Agriculture, Ludong University, Yantai, 264025, China
| | - Yibiao Cai
- Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong, College of Agriculture, Ludong University, Yantai, 264025, China
| | - Lei Han
- Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong, College of Agriculture, Ludong University, Yantai, 264025, China
| | - Zhenjie Huang
- Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong, College of Agriculture, Ludong University, Yantai, 264025, China
| | - Ninghao Xu
- Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong, College of Agriculture, Ludong University, Yantai, 264025, China
| | - Aoyu Yang
- Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong, College of Agriculture, Ludong University, Yantai, 264025, China
| | - Huiyuan Xu
- Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong, College of Agriculture, Ludong University, Yantai, 264025, China
| | - Yongzhen Wu
- Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong, College of Agriculture, Ludong University, Yantai, 264025, China
| | - Han Sun
- Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong, College of Agriculture, Ludong University, Yantai, 264025, China
| | - Xigang Liu
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Collaboration Innovation Center for Cell Signaling and Environmental Adaptation, Hebei Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, 050000, China
| | - Hongqing Ling
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Chunhua Zhao
- Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong, College of Agriculture, Ludong University, Yantai, 264025, China.
| | - Junming Li
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Collaboration Innovation Center for Cell Signaling and Environmental Adaptation, Hebei Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, 050000, China.
| | - Fa Cui
- Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong, College of Agriculture, Ludong University, Yantai, 264025, China.
| |
Collapse
|
3
|
Miret JA, Griffiths CA, Paul MJ. Sucrose homeostasis: Mechanisms and opportunity in crop yield improvement. JOURNAL OF PLANT PHYSIOLOGY 2024; 294:154188. [PMID: 38295650 DOI: 10.1016/j.jplph.2024.154188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 01/17/2024] [Accepted: 01/22/2024] [Indexed: 03/10/2024]
Abstract
Sugar homeostasis is a critical feature of biological systems. In humans, raised and dysregulated blood sugar is a serious health issue. In plants, directed changes in sucrose homeostasis and allocation represent opportunities in crop improvement. Plant tissue sucrose varies more than blood glucose and is found at higher concentrations (cytosol and phloem ca. 100 mM v 3.9-6.9 mM for blood glucose). Tissue sucrose varies with developmental stage and environment, but cytosol and phloem exhibit tight sucrose control. Sucrose homeostasis is a consequence of the integration of photosynthesis, synthesis of storage end-products such as starch, transport of sucrose to sinks and sink metabolism. Trehalose 6-phosphate (T6P)-SnRK1 and TOR play central, still emerging roles in regulating and coordinating these processes. Overall, tissue sucrose levels are more strongly related to growth than to photosynthesis. As a key sucrose signal, T6P regulates sucrose levels, transport and metabolic pathways to coordinate source and sink at a whole plant level. Emerging evidence shows that T6P interacts with meristems. With careful targeting, T6P manipulation through exploiting natural variation, chemical intervention and genetic modification is delivering benefits for crop yields. Regulation of cereal grain set, filling and retention may be the most strategically important aspect of sucrose allocation and homeostasis for food security.
Collapse
Affiliation(s)
- Javier A Miret
- Sustainable Soils and Crops, Rothamsted Research, Harpenden, Hertfordshire, AL5 2JQ, UK
| | - Cara A Griffiths
- Sustainable Soils and Crops, Rothamsted Research, Harpenden, Hertfordshire, AL5 2JQ, UK
| | - Matthew J Paul
- Sustainable Soils and Crops, Rothamsted Research, Harpenden, Hertfordshire, AL5 2JQ, UK.
| |
Collapse
|
4
|
Bi C, Wei C, Li J, Wen S, Zhao H, Yu J, Shi X, Zhang Y, Liu Q, Zhang Y, Li B, You M. A novel variation of TaGW2-6B increases grain weight without penalty in grain protein content in wheat ( Triticum aestivum L.). MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2024; 44:15. [PMID: 38362529 PMCID: PMC10864231 DOI: 10.1007/s11032-024-01455-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 01/23/2024] [Indexed: 02/17/2024]
Abstract
Yield and quality are two crucial breeding objects of wheat therein grain weight and grain protein content (GPC) are two key relevant factors correspondingly. Investigations of their genetic mechanisms represent special significance for breeding. In this study, 199 F2 plants and corresponding F2:3 families derived from Nongda3753 (ND3753) and its EMS-generated mutant 564 (M564) were used to investigate the genetic basis of larger grain and higher GPC of M564. QTL analysis identified a total of 33 environmentally stable QTLs related to thousand grain weight (TGW), grain area (GA), grain circle (GC), grain length (GL), grain width (GW), and GPC on chromosomes 1B, 2A, 2B, 4D, 6B, and 7D, respectively, among which QGw.cau-6B.1, QTgw.cau-6B.1, QGa.cau-6B.1, and QGc.cau-6B.1 shared overlap confidence interval on chromosome 6B. This interval contained the TaGW2 gene playing the same role as the QTLs, so TaGW2-6B was cloned and sequenced. Sequence alignment revealed two G/A SNPs between two parents, among which the SNP in the seventh exon led to a premature termination in M564. A KASP marker was developed based on the SNP, and single-marker analysis on biparental populations showed that the mutant allele could significantly increase GW and TGW, but had no effect on GPC. Distribution detection of the mutant allele through KASP marker genotyping and sequence alignment against databases ascertained that no materials harbored this allele within natural populations. This allele was subsequently introduced into three different varieties through molecular marker-assisted backcrossing, and it was revealed that the allele had a significant effect on simultaneously increasing GW, TGW, and even GPC in all of three backgrounds. Summing up the above, it could be concluded that a novel elite allele of TaGW2-6B was artificially created and might play an important role in wheat breeding for high yield and quality. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-024-01455-y.
Collapse
Affiliation(s)
- Chan Bi
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Chaoxiong Wei
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Jinghui Li
- Wheat Center, Henan Institute of Science and Technology, Henan Provincial Key Laboratory of Hybrid Wheat, Xinxiang, 453003 China
| | - Shaozhe Wen
- Department of Landscape and Garden, Yangzhou Polytechnic College, Yangzhou, 225009 China
| | - Huanhuan Zhao
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Jiazheng Yu
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Xintian Shi
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Yuan Zhang
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Qiaofeng Liu
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Yufeng Zhang
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Baoyun Li
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Mingshan You
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| |
Collapse
|
5
|
Zhang L, Sun W, Gao W, Zhang Y, Zhang P, Liu Y, Chen T, Yang D. Genome-wide identification and analysis of the GGCT gene family in wheat. BMC Genomics 2024; 25:32. [PMID: 38177998 PMCID: PMC10768367 DOI: 10.1186/s12864-023-09934-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 12/21/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND γ-glutamylcyclotransferase (GGCT), an enzyme to maintain glutathione homeostasis, plays a vital role in the response to plant growth and development as well as the adaptation to various stresses. Although the GGCT gene family analysis has been conducted in Arabidopsis and rice, the family genes have not yet been well identified and analyzed at the genome-wide level in wheat (Triticum aestivum L.). RESULTS In the present study, 20 TaGGCT genes were identified in the wheat genome and widely distributed on chromosomes 2A, 2B, 2D, 3A, 4A, 5A, 5B, 5D, 6A, 6B, 6D, 7A, 7B, and 7D. Phylogenetic and structural analyses showed that these TaGGCT genes could be classified into three subfamilies: ChaC, GGGACT, and GGCT-PS. They exhibited similar motif compositions and distribution patterns in the same subgroup. Gene duplication analysis suggested that the expansion of TaGGCT family genes was facilitated by segmental duplications and tandem repeats in the wheat evolutionary events. Identification of diverse cis-acting response elements in TaGGCT promoters indicated their potential fundamental roles in response to plant development and abiotic stresses. The analysis of transcriptome data combined with RT-qPCR results revealed that the TaGGCTs genes exhibited ubiquitous expression across plant organs, with highly expressed in roots, stems, and developing grains. Most TaGGCT genes were up-regulated after 6 h under 20% PEG6000 and ABA treatments. Association analysis revealed that two haplotypes of TaGGCT20 gene displayed significantly different Thousand-kernel weight (TKW), Kernel length (KL), and Kernel width (KW) in wheat. The geographical and annual distribution of the two haplotypes of TaGGCT20 gene further revealed that the frequency of the favorable haplotype TaGGCT20-Hap-I was positively selected in the historical breeding process of wheat. CONCLUSION This study investigated the genome-wide identification, structure, evolution, and expression analysis of TaGGCT genes in wheat. The motifs of TaGGCTs were highly conserved throughout the evolutionary history of wheat. Most TaGGCT genes were highly expressed in roots, stems, and developing grains, and involved in the response to drought stresses. Two haplotypes were developed in the TaGGCT20 gene, where TaGGCT20-Hap-I, as a favorable haplotype, was significantly associated with higher TKW, KL, and KW in wheat, suggesting that the haplotype is used as a function marker for the selection in grain yield in wheat breeding.
Collapse
Affiliation(s)
- Long Zhang
- State Key Laboratory of Aridland Crop Science, Lanzhou, Gansu, 730070, China
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, 730070, China
| | - Wanting Sun
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, 730070, China
| | - Weidong Gao
- State Key Laboratory of Aridland Crop Science, Lanzhou, Gansu, 730070, China
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, 730070, China
| | - Yanyan Zhang
- State Key Laboratory of Aridland Crop Science, Lanzhou, Gansu, 730070, China
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, 730070, China
| | - Peipei Zhang
- State Key Laboratory of Aridland Crop Science, Lanzhou, Gansu, 730070, China
| | - Yuan Liu
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, 730070, China
| | - Tao Chen
- State Key Laboratory of Aridland Crop Science, Lanzhou, Gansu, 730070, China.
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, 730070, China.
| | - Delong Yang
- State Key Laboratory of Aridland Crop Science, Lanzhou, Gansu, 730070, China.
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, 730070, China.
| |
Collapse
|
6
|
Zhang J, Zhang Z, Zhang R, Yang C, Zhang X, Chang S, Chen Q, Rossi V, Zhao L, Xiao J, Xin M, Du J, Guo W, Hu Z, Liu J, Peng H, Ni Z, Sun Q, Yao Y. Type I MADS-box transcription factor TaMADS-GS regulates grain size by stabilizing cytokinin signalling during endosperm cellularization in wheat. PLANT BIOTECHNOLOGY JOURNAL 2024; 22:200-215. [PMID: 37752705 PMCID: PMC10754016 DOI: 10.1111/pbi.14180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 09/01/2023] [Accepted: 09/09/2023] [Indexed: 09/28/2023]
Abstract
Grain size is one of the important traits in wheat breeding programs aimed at improving yield, and cytokinins, mainly involved in cell division, have a positive impact on grain size. Here, we identified a novel wheat gene TaMADS-GS encoding type I MADS-box transcription factor, which regulates the cytokinins signalling pathway during early stages of grain development to modulate grain size and weight in wheat. TaMADS-GS is exclusively expressed in grains at early stage of seed development and its knockout leads to delayed endosperm cellularization, smaller grain size and lower grain weight. TaMADS-GS protein interacts with the Polycomb Repressive Complex 2 (PRC2) and leads to repression of genes encoding cytokinin oxidase/dehydrogenases (CKXs) stimulating cytokinins inactivation by mediating accumulation of the histone H3 trimethylation at lysine 27 (H3K27me3). Through the screening of a large wheat germplasm collection, an elite allele of the TaMADS-GS exhibits higher ability to repress expression of genes inactivating cytokinins and a positive correlation with grain size and weight, thus representing a novel marker for breeding programs in wheat. Overall, these findings support the relevance of TaMADS-GS as a key regulator of wheat grain size and weight.
Collapse
Affiliation(s)
- Jianing Zhang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Zhaoheng Zhang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Ruijie Zhang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Changfeng Yang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Xiaobang Zhang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Siyuan Chang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Qian Chen
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Vincenzo Rossi
- Council for Agricultural Research and EconomicsResearch Centre for Cereal and Industrial CropsBergamoItaly
| | - Long Zhao
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental BiologyChinese Academy of SciencesBeijingChina
| | - Jun Xiao
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental BiologyChinese Academy of SciencesBeijingChina
| | - Mingming Xin
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Jinkun Du
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Weilong Guo
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Zhaorong Hu
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Jie Liu
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Huiru Peng
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Zhongfu Ni
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Qixin Sun
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Yingyin Yao
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| |
Collapse
|
7
|
Shao W, Zhang X, Zhou Z, Ma Y, Chu D, Wang L, Yang Y, Du L, Du Y, Du J, Zhao Q. Genome- and transcriptome-wide identification of trehalose-6-phosphate phosphatases (TPP) gene family and their expression patterns under abiotic stress and exogenous trehalose in soybean. BMC PLANT BIOLOGY 2023; 23:641. [PMID: 38082382 PMCID: PMC10714469 DOI: 10.1186/s12870-023-04652-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 11/30/2023] [Indexed: 12/18/2023]
Abstract
BACKGROUND Trehalose-6-phosphate phosphatase (TPP) is an essential enzyme catalyzing trehalose synthesis, an important regulatory factor for plant development and stress response in higher plants. However, the TPP gene family in soybean has not been reported. RESULTS A comprehensive analysis of the TPP gene family identified 18 GmTPPs classified into eight groups based on the phylogenetic relationships and the conservation of protein in six monocot and eudicot plants. The closely linked subfamilies had similar motifs and intron/exon numbers. Segmental duplication was the main driving force of soybean GmTPPs expansion. In addition, analysis of the cis-regulatory elements and promoter regions of GmTPPs revealed that GmTPPs regulated the response to several abiotic stresses. Moreover, RNA-seq and qRT-PCR analysis of the tissue-specific GmTPPs under different abiotic stresses revealed that most GmTPPs were associated with response to different stresses, including cold, drought, saline-alkali, and exogenous trehalose. Notably, exogenous trehalose treatment up-regulated the expression of most TPP genes under saline-alkali conditions while increasing the carbohydrate and trehalose levels and reducing reactive oxygen species (ROS) accumulation in soybean sprouts, especially in the saline-alkali tolerant genotype. Furthermore, the interaction network and miRNA target prediction revealed that GmTPPs interacted with abiotic stress response-related transcription factors. CONCLUSIONS The findings in this study lay a foundation for further functional studies on TPP-based breeding to improve soybean development and stress tolerance.
Collapse
Affiliation(s)
- Wenjing Shao
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, 163319, Heilongjiang, China
| | - Xinlin Zhang
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, 163319, Heilongjiang, China
| | - Zhiheng Zhou
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, 163319, Heilongjiang, China
| | - Yue Ma
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, 163319, Heilongjiang, China
| | - Duo Chu
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, 163319, Heilongjiang, China
| | - Lei Wang
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, 163319, Heilongjiang, China
| | - Yiming Yang
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, 163319, Heilongjiang, China
| | - Lin Du
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, 163319, Heilongjiang, China
| | - Yanli Du
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, 163319, Heilongjiang, China
- National Coarse Cereals Engineering Research Center, Daqing, Heilongjiang, China
| | - Jidao Du
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, 163319, Heilongjiang, China.
- National Coarse Cereals Engineering Research Center, Daqing, Heilongjiang, China.
| | - Qiang Zhao
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, 163319, Heilongjiang, China.
- National Coarse Cereals Engineering Research Center, Daqing, Heilongjiang, China.
| |
Collapse
|
8
|
Kerbler SML, Armijos-Jaramillo V, Lunn JE, Vicente R. The trehalose 6-phosphate phosphatase family in plants. PHYSIOLOGIA PLANTARUM 2023; 175:e14096. [PMID: 38148193 DOI: 10.1111/ppl.14096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 10/15/2023] [Accepted: 11/12/2023] [Indexed: 12/28/2023]
Abstract
Trehalose 6-phosphate (Tre6P), the intermediate of trehalose biosynthesis, is an essential signalling metabolite linking plant growth and development to carbon metabolism. While recent work has focused predominantly on the enzymes that produce Tre6P, little is known about the proteins that catalyse its degradation, the trehalose 6-phosphate phosphatases (TPPs). Often occurring in large protein families, TPPs exhibit cell-, tissue- and developmental stage-specific expression patterns, suggesting important regulatory functions in controlling local levels of Tre6P and trehalose as well as Tre6P signalling. Furthermore, growing evidence through gene expression studies and transgenic approaches shows that TPPs play an important role in integrating environmental signals with plant metabolism. This review highlights the large diversity of TPP isoforms in model and crop plants and identifies how modulating Tre6P metabolism in certain cell types, tissues, and at different developmental stages may promote stress tolerance, resilience and increased crop yield.
Collapse
Affiliation(s)
- Sandra Mae-Lin Kerbler
- Leibniz-Institute für Gemüse- und Zierpflanzenbau, Groβbeeren, Germany
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
| | - Vinicio Armijos-Jaramillo
- Grupo de Bio-Quimioinformática, Carrera de Ingeniería en Biotecnología, Facultad de Ingeniería y Ciencias Aplicadas, Universidad de Las Américas, Quito, Ecuador
| | - John Edward Lunn
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
| | - Rubén Vicente
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
- Plant Ecophysiology and Metabolism Group, Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, Portugal
| |
Collapse
|
9
|
Valladares García AP, Desiderio F, Simeone R, Ravaglia S, Ciorba R, Fricano A, Guerra D, Blanco A, Cattivelli L, Mazzucotelli E. QTL mapping for kernel-related traits in a durum wheat x T. dicoccum segregating population. FRONTIERS IN PLANT SCIENCE 2023; 14:1253385. [PMID: 37849841 PMCID: PMC10577384 DOI: 10.3389/fpls.2023.1253385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 08/28/2023] [Indexed: 10/19/2023]
Abstract
Durum wheat breeding relies on grain yield improvement to meet its upcoming demand while coping with climate change. Kernel size and shape are the determinants of thousand kernel weight (TKW), which is a key component of grain yield, and the understanding of the genetic control behind these traits supports the progress in yield potential. The present study aimed to dissect the genetic network responsible for kernel size components (length, width, perimeter, and area) and kernel shape traits (width-to-length ratio and formcoefficient) as well as their relationships with kernel weight, plant height, and heading date in durum wheat. Quantitative Trait Locus (QTL) mapping was performed on a segregating population of 110 recombinant inbred lines, derived from a cross between the domesticated emmer wheat accession MG5323 and the durum wheat cv. Latino, evaluated in four different environments. A total of 24 QTLs stable across environments were found and further grouped in nine clusters on chromosomes 2A, 2B, 3A, 3B, 4B, 6B, and 7A. Among them, a QTL cluster on chromosome 4B was associated with kernel size traits and TKW, where the parental MG5323 contributed the favorable alleles, highlighting its potential to improve durum wheat germplasm. The physical positions of the clusters, defined by the projection on the T. durum reference genome, overlapped with already known genes (i.e., BIG GRAIN PROTEIN 1 on chromosome 4B). These results might provide genome-based guidance for the efficient exploitation of emmer wheat diversity in wheat breeding, possibly through yield-related molecular markers.
Collapse
Affiliation(s)
- Ana Paola Valladares García
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana (COMAV), Universitat Politècnica de València, Valencia, Spain
- Council for Agricultural Research and Economics (CREA) - Research Centre for Genomics and Bioinformatics, Fiorenzuola d’Arda, Italy
| | - Francesca Desiderio
- Council for Agricultural Research and Economics (CREA) - Research Centre for Genomics and Bioinformatics, Fiorenzuola d’Arda, Italy
| | - Rosanna Simeone
- Department of Soil, Plant and Food Sciences (DiSSPA), Genetics and Plant Breeding Section, University of Bari Aldo Moro, Bari, Italy
| | | | - Roberto Ciorba
- Council for Agricultural Research and Economics (CREA) - Research Centre for Olive, Fruit and Citrus Crops, Rome, Italy
| | - Agostino Fricano
- Council for Agricultural Research and Economics (CREA) - Research Centre for Genomics and Bioinformatics, Fiorenzuola d’Arda, Italy
| | - Davide Guerra
- Council for Agricultural Research and Economics (CREA) - Research Centre for Genomics and Bioinformatics, Fiorenzuola d’Arda, Italy
| | - Antonio Blanco
- Department of Soil, Plant and Food Sciences (DiSSPA), Genetics and Plant Breeding Section, University of Bari Aldo Moro, Bari, Italy
| | - Luigi Cattivelli
- Council for Agricultural Research and Economics (CREA) - Research Centre for Genomics and Bioinformatics, Fiorenzuola d’Arda, Italy
| | - Elisabetta Mazzucotelli
- Council for Agricultural Research and Economics (CREA) - Research Centre for Genomics and Bioinformatics, Fiorenzuola d’Arda, Italy
| |
Collapse
|
10
|
Liu H, Si X, Wang Z, Cao L, Gao L, Zhou X, Wang W, Wang K, Jiao C, Zhuang L, Liu Y, Hou J, Li T, Hao C, Guo W, Liu J, Zhang X. TaTPP-7A positively feedback regulates grain filling and wheat grain yield through T6P-SnRK1 signalling pathway and sugar-ABA interaction. PLANT BIOTECHNOLOGY JOURNAL 2023; 21:1159-1175. [PMID: 36752567 DOI: 10.1111/pbi.14025] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 01/26/2023] [Accepted: 01/30/2023] [Indexed: 05/27/2023]
Abstract
Grain size and filling are two key determinants of grain thousand-kernel weight (TKW) and crop yield, therefore they have undergone strong selection since cereal was domesticated. Genetic dissection of the two traits will improve yield potential in crops. A quantitative trait locus significantly associated with wheat grain TKW was detected on chromosome 7AS flanked by a simple sequence repeat marker of Wmc17 in Chinese wheat 262 mini-core collection by genome-wide association study. Combined with the bulked segregant RNA-sequencing (BSR-seq) analysis of an F2 genetic segregation population with extremely different TKW traits, a candidate trehalose-6-phosphate phosphatase gene located at 135.0 Mb (CS V1.0), designated as TaTPP-7A, was identified. This gene was specifically expressed in developing grains and strongly influenced grain filling and size. Overexpression (OE) of TaTPP-7A in wheat enhanced grain TKW and wheat yield greatly. Detailed analysis revealed that OE of TaTPP-7A significantly increased the expression levels of starch synthesis- and senescence-related genes involved in abscisic acid (ABA) and ethylene pathways. Moreover, most of the sucrose metabolism and starch regulation-related genes were potentially regulated by SnRK1. In addition, TaTPP-7A is a crucial domestication- and breeding-targeted gene and it feedback regulates sucrose lysis, flux, and utilization in the grain endosperm mainly through the T6P-SnRK1 pathway and sugar-ABA interaction. Thus, we confirmed the T6P signalling pathway as the central regulatory system for sucrose allocation and source-sink interactions in wheat grains and propose that the trehalose pathway components have great potential to increase yields in cereal crops.
Collapse
Affiliation(s)
- Hongxia Liu
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Xuemei Si
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Zhenyu Wang
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Liangjing Cao
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Lifeng Gao
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Xiaolong Zhou
- Beijing Biomics Biotechnology Company limited, Beijing, China
| | - Wenxi Wang
- Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing, China
| | - Ke Wang
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Chengzhi Jiao
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Lei Zhuang
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Yunchuan Liu
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Jian Hou
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Tian Li
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Chenyang Hao
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Weilong Guo
- Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing, China
| | - Jun Liu
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Xueyong Zhang
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| |
Collapse
|
11
|
Ma F, Xu Y, Wang R, Tong Y, Zhang A, Liu D, An D. Identification of major QTLs for yield-related traits with improved genetic map in wheat. FRONTIERS IN PLANT SCIENCE 2023; 14:1138696. [PMID: 37008504 PMCID: PMC10063875 DOI: 10.3389/fpls.2023.1138696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 03/08/2023] [Indexed: 06/19/2023]
Abstract
INTRODUCTION Identification of stable major quantitative trait loci (QTLs) for yield-related traits is important for yield potential improvement in wheat breeding. METHODS In the present study, we genotyped a recombinant inbred line (RIL) population using the Wheat 660K SNP array and constructed a high-density genetic map. The genetic map showed high collinearity with the wheat genome assembly. Fourteen yield-related traits were evaluated in six environments for QTL analysis. RESULTS AND DISCUSSION A total of 12 environmentally stable QTLs were identified in at least three environments, explaining up to 34.7% of the phenotypic variation. Of these, QTkw-1B.2 for thousand kernel weight (TKW), QPh-2D.1 (QSl-2D.2/QScn-2D.1) for plant height (PH), spike length (SL) and spikelet compactness (SCN), QPh-4B.1 for PH, and QTss-7A.3 for total spikelet number per spike (TSS) were detected in at least five environments. A set of Kompetitive Allele Specific PCR (KASP) markers were converted based on the above QTLs and used to genotype a diversity panel comprising of 190 wheat accessions across four growing seasons. QPh-2D.1 (QSl-2D.2/QScn-2D.1), QPh-4B.1 and QTss-7A.3 were successfully validated. Compared with previous studies, QTkw-1B.2 and QPh-4B.1 should be novel QTLs. These results provided a solid foundation for further positional cloning and marker-assisted selection of the targeted QTLs in wheat breeding programs.
Collapse
Affiliation(s)
- Feifei Ma
- Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, China
| | - Yunfeng Xu
- Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, China
| | - Ruifang Wang
- Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, China
| | - Yiping Tong
- State Key Laboratory of Plant Cell and Chromosome Engineering, National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Aimin Zhang
- State Key Laboratory of North China Crop Improvement and Regulation, College of Agronomy, Hebei Agricultural University, Baoding, Hebei, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Dongcheng Liu
- State Key Laboratory of North China Crop Improvement and Regulation, College of Agronomy, Hebei Agricultural University, Baoding, Hebei, China
| | - Diaoguo An
- Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, China
| |
Collapse
|
12
|
Zeng Z, Zhao D, Wang C, Yan X, Song J, Chen P, Lan C, Singh RP. QTL cluster analysis and marker development for kernel traits based on DArT markers in spring bread wheat ( Triticum aestivum L.). FRONTIERS IN PLANT SCIENCE 2023; 14:1072233. [PMID: 36844075 PMCID: PMC9951491 DOI: 10.3389/fpls.2023.1072233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 01/23/2023] [Indexed: 06/18/2023]
Abstract
Genetic dissection of yield component traits including kernel characteristics is essential for the continuous improvement in wheat yield. In the present study, one recombinant inbred line (RIL) F6 population derived from a cross between Avocet and Chilero was used to evaluate the phenotypes of kernel traits of thousand-kernel weight (TKW), kernel length (KL), and kernel width (KW) in four environments at three experimental stations during the 2018-2020 wheat growing seasons. The high-density genetic linkage map was constructed with the diversity arrays technology (DArT) markers and the inclusive composite interval mapping (ICIM) method to identify the quantitative trait loci (QTLs) for TKW, KL, and KW. A total of 48 QTLs for three traits were identified in the RIL population on the 21 chromosomes besides 2A, 4D, and 5B, accounting for 3.00%-33.85% of the phenotypic variances. Based on the physical positions of each QTL, nine stable QTL clusters were identified in the RILs, and among these QTL clusters, TaTKW-1A was tightly linked to the DArT marker interval 3950546-1213099, explaining 10.31%-33.85% of the phenotypic variances. A total of 347 high-confidence genes were identified in a 34.74-Mb physical interval. TraesCS1A02G045300 and TraesCS1A02G058400 were among the putative candidate genes associated with kernel traits, and they were expressed during grain development. Moreover, we also developed high-throughput kompetitive allele-specific PCR (KASP) markers of TaTKW-1A, validated in a natural population of 114 wheat varieties. The study provides a basis for cloning the functional genes underlying the QTL for kernel traits and a practical and accurate marker for molecular breeding.
Collapse
Affiliation(s)
- Zhankui Zeng
- College of Agronomy, Henan University of Science and Technology, Luoyang, Henan, China
- The Shennong Laboratory, Zhengzhou, Henan, China
| | - Dehui Zhao
- College of Agronomy, Henan University of Science and Technology, Luoyang, Henan, China
- The Shennong Laboratory, Zhengzhou, Henan, China
| | - Chunping Wang
- College of Agronomy, Henan University of Science and Technology, Luoyang, Henan, China
- The Shennong Laboratory, Zhengzhou, Henan, China
| | - Xuefang Yan
- College of Agronomy, Henan University of Science and Technology, Luoyang, Henan, China
- The Shennong Laboratory, Zhengzhou, Henan, China
| | - Junqiao Song
- College of Agronomy, Henan University of Science and Technology, Luoyang, Henan, China
- The Shennong Laboratory, Zhengzhou, Henan, China
| | - Peng Chen
- College of Agronomy, Henan University of Science and Technology, Luoyang, Henan, China
- The Shennong Laboratory, Zhengzhou, Henan, China
| | - Caixia Lan
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Ravi P. Singh
- Global Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Mexico, Mexico
| |
Collapse
|
13
|
Song J, Xu D, Dong Y, Li F, Bian Y, Li L, Luo X, Fei S, Li L, Zhao C, Zhang Y, Xia X, Ni Z, He Z, Cao S. Fine mapping and characterization of a major QTL for grain weight on wheat chromosome arm 5DL. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:3237-3246. [PMID: 35904627 DOI: 10.1007/s00122-022-04182-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 07/14/2022] [Indexed: 06/15/2023]
Abstract
We fine mapped QTL QTKW.caas-5DL for thousand kernel weight in wheat, predicted candidate genes and developed a breeding-applicable marker. Thousand kernel weight (TKW) is an important yield component trait in wheat, and identification of the underlying genetic loci is helpful for yield improvement. We previously identified a stable quantitative trait locus (QTL) QTKW.caas-5DL for TKW in a Doumai/Shi4185 recombinant inbred line (RIL) population. Here we performed fine mapping of QTKW.caas-5DL using secondary populations derived from 15 heterozygous recombinants and delimited the QTL to an approximate 3.9 Mb physical interval from 409.9 to 413.8 Mb according to the Chinese Spring (CS) reference genome. Analysis of genomic synteny showed that annotated genes in the physical interval had high collinearity among CS and eight other wheat genomes. Seven genes with sequence variation and/or differential expression between parents were predicted as candidates for QTKW.caas-5DL based on whole-genome resequencing and transcriptome assays. A kompetitive allele-specific PCR (KASP) marker for QTKW.caas-5DL was developed, and genotyping confirmed a significant association with TKW but not with other yield component traits in a panel of elite wheat cultivars. The superior allele of QTKW.caas-5DL was frequent in a panel of cultivars, suggesting that it had undergone positive selection. These findings not only lay a foundation for map-based cloning of QTKW.caas-5DL but also provide an efficient tool for marker-assisted selection.
Collapse
Affiliation(s)
- Jie Song
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
- State Key Laboratory of Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy, China Agricultural University, 2 Yuanmingyuan West Road, Beijing, 100094, China
| | - Dengan Xu
- Shandong Province Key Laboratory of Dryland Farming Technology, College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, Shandong, China
| | - Yan Dong
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Faji Li
- Crop Research Institute, Shandong Academy of Agricultural Sciences, 202 Gongye North Road, Jinan, 250100, Shandong, China
| | - Yingjie Bian
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Lingli Li
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Xumei Luo
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Shuaipeng Fei
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Lei Li
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Cong Zhao
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Yong Zhang
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Xianchun Xia
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Zhongfu Ni
- State Key Laboratory of Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy, China Agricultural University, 2 Yuanmingyuan West Road, Beijing, 100094, China
| | - Zhonghu He
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
- International Maize and Wheat Improvement Center (CIMMYT) China Office, c/o CAAS, 12 Zhongguancun South Street, Beijing, 100081, China.
| | - Shuanghe Cao
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
| |
Collapse
|
14
|
Liu X, Xu Z, Feng B, Zhou Q, Ji G, Guo S, Liao S, Lin D, Fan X, Wang T. Quantitative trait loci identification and breeding value estimation of grain weight-related traits based on a new wheat 50K single nucleotide polymorphism array-derived genetic map. FRONTIERS IN PLANT SCIENCE 2022; 13:967432. [PMID: 36110352 PMCID: PMC9468616 DOI: 10.3389/fpls.2022.967432] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 08/04/2022] [Indexed: 06/01/2023]
Abstract
Mining novel and less utilized thousand grain weight (TGW) related genes are useful for improving wheat yield. In this study, a recombinant inbred line population from a cross between Zhongkemai 138 (ZKM138, high TGW) and Chuanmai 44 (CM44, low TGW) was used to construct a new Wheat 50K SNP array-derived genetic map that spanned 1,936.59 cM and contained 4, 139 markers. Based on this map, ninety-one quantitative trait loci (QTL) were detected for eight grain-related traits in six environments. Among 58 QTLs, whose superior alleles were contributed by ZKM138, QTgw.cib-6A was a noticeable major stable QTL and was also highlighted by bulked segregant analysis with RNA sequencing (BSR-Seq). It had a pyramiding effect on TGW enhancement but no significant trade-off effect on grain number per spike or tiller number, with two other QTLs (QTgw.cib-2A.2 and QTgw.cib-6D), possibly explaining the excellent grain performance of ZKM138. After comparison with known loci, QTgw.cib-6A was deduced to be a novel locus that differed from nearby TaGW2 and TaBT1. Seven simple sequence repeat (SSR) and thirty-nine kompetitive allele-specific PCR (KASP) markers were finally developed to narrow the candidate interval of QTgw.cib-6A to 4.1 Mb. Only six genes in this interval were regarded as the most likely candidate genes. QTgw.cib-6A was further validated in different genetic backgrounds and presented 88.6% transmissibility of the ZKM138-genotype and a 16.4% increase of TGW in ZKM138 derivatives. And the geographic pattern of this locus revealed that its superior allele is present in only 6.47% of 433 Chinese modern wheat varieties, indicating its potential contribution to further high-yield breeding.
Collapse
Affiliation(s)
- Xiaofeng Liu
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zhibin Xu
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Bo Feng
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Qiang Zhou
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Guangsi Ji
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Shaodan Guo
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Simin Liao
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Dian Lin
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaoli Fan
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Tao Wang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
- Innovative Academy for Seed Design, Chinese Academy of Sciences, Beijing, China
| |
Collapse
|
15
|
Wang C, Zhang L, Xie Y, Guo X, Zhang Y, Zhang Y, Irshad A, Li Y, Qian H, Jing D, Liu G, Wu K, Yang N, Yang G, Song Y, Guo H, Zhao H, Wang C, Liu L, Zhang G, Ma S. A superior allele of the wheat gene TaGL3.3-5B, selected in the breeding process, contributes to seed size and weight. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:1879-1891. [PMID: 35377004 DOI: 10.1007/s00122-022-04081-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 03/12/2022] [Indexed: 06/14/2023]
Abstract
A superior allele of wheat gene TaGL3.3-5B was identified and could be used in marker-assisted breeding in wheat. Identifying the main genes which mainly regulate the yield-associated traits can significantly increase the wheat production. In this study, gene TaGL3.3 was cloned from common wheat according to the sequence of OsPPKL3. A SNP in the 8th exon of TaGL3.3-5B, T/C in coding sequence (CDS), which resulted in an amino acid change (Val/Ala), was identified between the low 1000-kernel weight (TKW) wheat Chinese Spring and the high TKW wheat Xinong 817 (817). Subsequently, association analysis in the mini-core collection (MCC) and the recombinant inbred lines (RIL) revealed that the allele TaGL3.3-5B-C (from 817) was significantly correlated with higher TKW. The high frequency of TaGL3.3-5B-C in the Chinese modern wheat cultivars indicated that it was selected positively in wheat breeding programs. The overexpression of TaGL3.3-5B-C in Arabidopsis resulted in shorter pods and longer grains than those of wild-type counterparts. Additionally, TaGL3.3 expressed a tissue-specific pattern in wheat as revealed by qRT-PCR. We also found that 817 showed higher expression of TaGL3.3 than that in Chinese Spring (CS) during the seed development. These results demonstrate that TaGL3.3 plays an important role in the formation of seed size and weight. Allele TaGL3.3-5B-C is associated with larger and heavier grains that are beneficial to wheat yield improvement.
Collapse
Affiliation(s)
- Chaojie Wang
- College of Agronomy, Northwest A & F University, National Yangling Agricultural Biotechnology & Breeding Center, Yangling, 712100, Shaanxi, People's Republic of China
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Engineering Laboratory of Crop Molecular Breeding, National Center of Space Mutagenesis for Crop Improvement, Beijing, 100081, People's Republic of China
| | - Lili Zhang
- Key Laboratory of Crop Heterosis of Shaanxi Province, Yangling, 712100, Shaanxi, People's Republic of China
- College of Plant Protection, Northwest A & F University, Yangling, 712100, Shaanxi, People's Republic of China
| | - Yongdun Xie
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Engineering Laboratory of Crop Molecular Breeding, National Center of Space Mutagenesis for Crop Improvement, Beijing, 100081, People's Republic of China
| | - Xiaofeng Guo
- College of Agronomy, Northwest A & F University, National Yangling Agricultural Biotechnology & Breeding Center, Yangling, 712100, Shaanxi, People's Republic of China
| | - Yanfang Zhang
- College of Agronomy, Northwest A & F University, National Yangling Agricultural Biotechnology & Breeding Center, Yangling, 712100, Shaanxi, People's Republic of China
| | - Yamin Zhang
- College of Agronomy, Northwest A & F University, National Yangling Agricultural Biotechnology & Breeding Center, Yangling, 712100, Shaanxi, People's Republic of China
| | - Ahsan Irshad
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Engineering Laboratory of Crop Molecular Breeding, National Center of Space Mutagenesis for Crop Improvement, Beijing, 100081, People's Republic of China
| | - Yuting Li
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Engineering Laboratory of Crop Molecular Breeding, National Center of Space Mutagenesis for Crop Improvement, Beijing, 100081, People's Republic of China
| | - Huihui Qian
- College of Agronomy, Northwest A & F University, National Yangling Agricultural Biotechnology & Breeding Center, Yangling, 712100, Shaanxi, People's Republic of China
| | - Doudou Jing
- College of Agronomy, Northwest A & F University, National Yangling Agricultural Biotechnology & Breeding Center, Yangling, 712100, Shaanxi, People's Republic of China
| | - Guangyao Liu
- College of Agronomy, Northwest A & F University, National Yangling Agricultural Biotechnology & Breeding Center, Yangling, 712100, Shaanxi, People's Republic of China
| | - Kaiming Wu
- College of Agronomy, Northwest A & F University, National Yangling Agricultural Biotechnology & Breeding Center, Yangling, 712100, Shaanxi, People's Republic of China
| | - Na Yang
- College of Agronomy, Northwest A & F University, National Yangling Agricultural Biotechnology & Breeding Center, Yangling, 712100, Shaanxi, People's Republic of China
| | - Guoli Yang
- College of Agronomy, Northwest A & F University, National Yangling Agricultural Biotechnology & Breeding Center, Yangling, 712100, Shaanxi, People's Republic of China
| | - Yulong Song
- College of Agronomy, Northwest A & F University, National Yangling Agricultural Biotechnology & Breeding Center, Yangling, 712100, Shaanxi, People's Republic of China
| | - Huijun Guo
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Engineering Laboratory of Crop Molecular Breeding, National Center of Space Mutagenesis for Crop Improvement, Beijing, 100081, People's Republic of China
| | - Huiyan Zhao
- College of Plant Protection, Northwest A & F University, Yangling, 712100, Shaanxi, People's Republic of China
| | - Chengshe Wang
- College of Agronomy, Northwest A & F University, National Yangling Agricultural Biotechnology & Breeding Center, Yangling, 712100, Shaanxi, People's Republic of China
| | - Luxiang Liu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Engineering Laboratory of Crop Molecular Breeding, National Center of Space Mutagenesis for Crop Improvement, Beijing, 100081, People's Republic of China.
| | - Gaisheng Zhang
- College of Agronomy, Northwest A & F University, National Yangling Agricultural Biotechnology & Breeding Center, Yangling, 712100, Shaanxi, People's Republic of China.
- Key Laboratory of Crop Heterosis of Shaanxi Province, Yangling, 712100, Shaanxi, People's Republic of China.
| | - Shoucai Ma
- College of Agronomy, Northwest A & F University, National Yangling Agricultural Biotechnology & Breeding Center, Yangling, 712100, Shaanxi, People's Republic of China.
- Key Laboratory of Crop Heterosis of Shaanxi Province, Yangling, 712100, Shaanxi, People's Republic of China.
| |
Collapse
|
16
|
Li Z, Wei X, Tong X, Zhao J, Liu X, Wang H, Tang L, Shu Y, Li G, Wang Y, Ying J, Jiao G, Hu H, Hu P, Zhang J. The OsNAC23-Tre6P-SnRK1a feed-forward loop regulates sugar homeostasis and grain yield in rice. MOLECULAR PLANT 2022; 15:706-722. [PMID: 35093592 DOI: 10.1016/j.molp.2022.01.016] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 01/15/2022] [Accepted: 01/24/2022] [Indexed: 05/14/2023]
Abstract
Tre6P (trehalose-6-phosphate) mediates sensing of carbon availability to maintain sugar homeostasis in plants, which underpins crop yield and resilience. However, how Tre6P responds to fluctuations in sugar levels and regulates the utilization of sugars for growth remains to be addressed. Here, we report that the sugar-inducible rice NAC transcription factor OsNAC23 directly represses the transcription of the Tre6P phosphatase gene TPP1 to simultaneously elevate Tre6P and repress trehalose levels, thus facilitating carbon partitioning from source to sink organs. Meanwhile, OsNAC23 and Tre6P suppress the transcription and enzyme activity of SnRK1a, a low-carbon sensor and antagonist of OsNAC23, to prevent the SnRK1a-mediated phosphorylation and degradation of OsNAC23. Thus, OsNAC23, Tre6P, and SnRK1a form a feed-forward loop to sense sugar and maintain sugar homeostasis by transporting sugars to sink organs. Importantly, plants over-expressing OsNAC23 exhibited an elevated photosynthetic rate, sugar transport, and sink organ size, which consistently increased rice yields by 13%-17% in three elite-variety backgrounds and two locations, suggesting that manipulation of OsNAC23 expression has great potential for rice improvement. Collectively, these findings enhance our understanding of Tre6P-mediated sugar signaling and homeostasis, and provide a new strategy for genetic improvement of rice and possibly also other crops.
Collapse
Affiliation(s)
- Zhiyong Li
- State Key Lab of Rice Biology, China National Rice Research Institute, Hangzhou 311400, China; College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Xiangjin Wei
- State Key Lab of Rice Biology, China National Rice Research Institute, Hangzhou 311400, China
| | - Xiaohong Tong
- State Key Lab of Rice Biology, China National Rice Research Institute, Hangzhou 311400, China
| | - Juan Zhao
- State Key Lab of Rice Biology, China National Rice Research Institute, Hangzhou 311400, China
| | - Xixi Liu
- State Key Lab of Rice Biology, China National Rice Research Institute, Hangzhou 311400, China
| | - Huimei Wang
- State Key Lab of Rice Biology, China National Rice Research Institute, Hangzhou 311400, China
| | - Liqun Tang
- State Key Lab of Rice Biology, China National Rice Research Institute, Hangzhou 311400, China
| | - Yazhou Shu
- State Key Lab of Rice Biology, China National Rice Research Institute, Hangzhou 311400, China
| | - Guanghao Li
- State Key Lab of Rice Biology, China National Rice Research Institute, Hangzhou 311400, China
| | - Yifeng Wang
- State Key Lab of Rice Biology, China National Rice Research Institute, Hangzhou 311400, China
| | - Jiezheng Ying
- State Key Lab of Rice Biology, China National Rice Research Institute, Hangzhou 311400, China
| | - Guiai Jiao
- State Key Lab of Rice Biology, China National Rice Research Institute, Hangzhou 311400, China
| | - Honghong Hu
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Peisong Hu
- State Key Lab of Rice Biology, China National Rice Research Institute, Hangzhou 311400, China.
| | - Jian Zhang
- State Key Lab of Rice Biology, China National Rice Research Institute, Hangzhou 311400, China.
| |
Collapse
|
17
|
Jing F, Miao Y, Zhang P, Chen T, Liu Y, Ma J, Li M, Yang D. Characterization of TaSPP-5A gene associated with sucrose content in wheat (Triticum aestivum L.). BMC PLANT BIOLOGY 2022; 22:58. [PMID: 35105304 PMCID: PMC8805233 DOI: 10.1186/s12870-022-03442-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 01/18/2022] [Indexed: 05/13/2023]
Abstract
BACKGROUND Sucrose, the major product of photosynthesis and the primary sugar transported as a soluble carbohydrate via the phloem, is a critical determinant for harvest yield in wheat crops. Sucrose-phosphatase (SPP) catalyzes the final step in the sucrose biosynthesis pathway, implying its essential role in the plant. RESULT In this study, wheat SPP homologs genes were isolated from chromosomes 5A, 5B, and 5D, designated as TaSPP-5A, TaSPP-5B, and TaSPP-5D, respectively. Sequence alignment showed one 1-bp Insertion-deletion (InDel) and three single nucleotide polymorphisms (SNPs) at TaSPP-5A coding region, forming two haplotypes, TaSPP-5Aa and TaSPP-5Ab, respectively. A derived cleaved amplified polymorphism sequence (dCAPS) marker, TaSPP-5A-dCAPS, was developed to discriminate allelic variation based on the polymorphism at position 1242 (C-T). A total of 158 varieties were used to perform a TaSPP-5A marker-trait association analysis, where two haplotypes were significantly associated with sucrose content in two environments and with thousand-grain weight (TGW) and grain length (GL) in three environments. Quantitative real-time PCR further revealed that TaSPP-5Aa showed relatively higher expression than TaSPP-5Ab in wheat seedling leaves, generally associating with increased sucrose content and TGW. The expression of TaSPP-5A and sucrose content in TaSPP-5Aa haplotypes were also higher than those in TaSPP-5Ab haplotypes under both 20% PEG-6000 and 100 μM ABA treatment. Sequence alignment showed that the two TaSPP-5A haplotypes comprised 11 SNPs from -395 to -1962 bp at TaSPP-5A promoter locus, participating in the formation of several conserved sequences, may account for the high expression of TaSPP-5A in TaSPP-5Aa haplotypes. In addition, the distribution analysis of TaSPP-5A haplotypes revealed that TaSPP-5Aa was preferred in the natural wheat population, being strongly positively selected in breeding programs. CONCLUSION According to the SNPs detected in the TaSPP-5A sequence, two haplotypes, TaSPP-5Aa and TaSPP-5Ab, were identified among wheat accessions, which potential value for sucrose content selection was validated by association analysis. Our results indicate that the favorable allelic variation TaSPP-5Aa should be valuable in enhancing grain yield by improving the sucrose content. Furthermore, a functional marker, TaSPP-5A-dCAPS, can be used for marker-assisted selection to improve grain weight in wheat and provides insights into the biological function of TaSPP-5A gene.
Collapse
Affiliation(s)
- Fanli Jing
- Gansu Provincial Key Lab of Aridland Crop Science, Lanzhou, 730070, Gansu, China
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China
| | - Yongping Miao
- Gansu Provincial Key Lab of Aridland Crop Science, Lanzhou, 730070, Gansu, China
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China
| | - Peipei Zhang
- Gansu Provincial Key Lab of Aridland Crop Science, Lanzhou, 730070, Gansu, China
| | - Tao Chen
- Gansu Provincial Key Lab of Aridland Crop Science, Lanzhou, 730070, Gansu, China
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China
| | - Yuan Liu
- Gansu Provincial Key Lab of Aridland Crop Science, Lanzhou, 730070, Gansu, China
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China
| | - Jingfu Ma
- Gansu Provincial Key Lab of Aridland Crop Science, Lanzhou, 730070, Gansu, China
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China
| | - Mengfei Li
- Gansu Provincial Key Lab of Aridland Crop Science, Lanzhou, 730070, Gansu, China
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China
| | - Delong Yang
- Gansu Provincial Key Lab of Aridland Crop Science, Lanzhou, 730070, Gansu, China.
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
| |
Collapse
|
18
|
Paul MJ. What are the regulatory targets for intervention in assimilate partitioning to improve crop yield and resilience? JOURNAL OF PLANT PHYSIOLOGY 2021; 266:153537. [PMID: 34619557 DOI: 10.1016/j.jplph.2021.153537] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 09/24/2021] [Accepted: 09/27/2021] [Indexed: 06/13/2023]
Abstract
Sucrose utilisation for the synthesis of cellular components involved in growth and development and the accumulation of biomass determines diversity in the plant kingdom; sucrose utilisation and partitioning also underpin crop yields. As a complex process the use of sucrose for the partitioning of plant products for yield is decided by the interaction of several regulatory hubs and the integration of metabolism and development. Understanding the regulation of assimilate partitioning has been a grand challenge in plant and crop science. There are emerging examples of genes and processes that appear important for assimilate partitioning that underpin yield in crops and which are amenable to intervention. Enzymes of carbon metabolism were some of the first targets in attempts to modify assimilate partitioning at the beginning (source) and end (sink) of the whole plant assimilate partitioning process. Metabolic enzymes are subject to regulatory and homeostatic mechanisms, a key factor to consider in modifying assimilate partitioning. Trehalose 6-phosphate, as a sucrose signal, may represent a special case in its ability to regulate and coordinate source and sink processes. This review summarises recent progress in understanding the underlying regulators of assimilate partitioning and the current and potentially most promising routes to crop yield enhancement with a main focus on cereals. A framework for how source-sink may regulate whole plant assimilate partitioning involving a few key elements and the central importance of reproductive development is presented.
Collapse
Affiliation(s)
- Matthew J Paul
- Plant Science, Rothamsted Research, Harpenden, Hertfordshire, AL5 2JQ, UK.
| |
Collapse
|
19
|
In Silico and Transcription Analysis of Trehalose-6-phosphate Phosphatase Gene Family of Wheat: Trehalose Synthesis Genes Contribute to Salinity, Drought Stress and Leaf Senescence. Genes (Basel) 2021; 12:genes12111652. [PMID: 34828258 PMCID: PMC8618227 DOI: 10.3390/genes12111652] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 10/16/2021] [Accepted: 10/19/2021] [Indexed: 11/17/2022] Open
Abstract
Trehalose-6-phosphate phosphatase (TPP) genes take part in trehalose metabolism and also in stress tolerance, which has been well documented in many species but poorly understood in wheat. The present research has identified a family of 31 TPP genes in Triticum aestivum L. through homology searches and classified them into five clades by phylogenetic tree analysis, providing evidence of an evolutionary status with Hordeum vulgare, Brachypodium distachyon and Oryza sativa. The exon-intron distribution revealed a discrete evolutionary history and projected possible gene duplication occurrences. Furthermore, different computational approaches were used to analyze the physical and chemical properties, conserved domains and motifs, subcellular and chromosomal localization, and three-dimensional (3-D) protein structures. Cis-regulatory elements (CREs) analysis predicted that TaTPP promoters consist of CREs related to plant growth and development, hormones, and stress. Transcriptional analysis revealed that the transcription levels of TaTPPs were variable in different developmental stages and organs. In addition, qRT-PCR analysis showed that different TaTPPs were induced under salt and drought stresses and during leaf senescence. Therefore, the findings of the present study give fundamental genomic information and possible biological functions of the TaTPP gene family in wheat and will provide the path for a better understanding of TaTPPs involvement in wheat developmental processes, stress tolerance, and leaf senescence.
Collapse
|
20
|
Xing L, Yuan L, Lv Z, Wang Q, Yin C, Huang Z, Liu J, Cao S, Zhang R, Chen P, Karafiátová M, Vrána J, Bartoš J, Doležel J, Cao A. Long-range assembly of sequences helps to unravel the genome structure and small variation of the wheat-Haynaldia villosa translocated chromosome 6VS.6AL. PLANT BIOTECHNOLOGY JOURNAL 2021; 19:1567-1578. [PMID: 33606347 PMCID: PMC8384597 DOI: 10.1111/pbi.13570] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 02/06/2021] [Indexed: 05/07/2023]
Abstract
Genomics studies in wild species of wheat have been limited due to the lack of references; however, new technologies and bioinformatics tools have much potential to promote genomic research. The wheat-Haynaldia villosa translocation line T6VS·6AL has been widely used as a backbone parent of wheat breeding in China. Therefore, revealing the genome structure of translocation chromosome 6VS·6AL will clarify how this chromosome formed and will help to determine how it affects agronomic traits. In this study, chromosome flow sorting, NGS sequencing and Chicago long-range linkage assembly were innovatively used to produce the assembled sequences of 6VS·6AL, and gene prediction and genome structure characterization at the molecular level were effectively performed. The analysis discovered that the short arm of 6VS·6AL was actually composed of a large distal segment of 6VS, a small proximal segment of 6AS and the centromere of 6A, while the collinear region in 6VS corresponding to 230-260 Mb of 6AS-Ta was deleted when the recombination between 6VS and 6AS occurred. In addition to the molecular mechanism of the increased grain weight and enhanced spike length produced by the translocation chromosome, it may be correlated with missing GW2-V and an evolved NRT-V cluster. Moreover, a fine physical bin map of 6VS was constructed by the high-throughput developed 6VS-specific InDel markers and a series of newly identified small fragment translocation lines involving 6VS. This study will provide essential information for mining of new alien genes carried by the 6VS·6AL translocation chromosome.
Collapse
Affiliation(s)
- Liping Xing
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Lu Yuan
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Zengshuai Lv
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Qiang Wang
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Chunhong Yin
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Zhenpu Huang
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Jiaqian Liu
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Shuqi Cao
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Ruiqi Zhang
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Peidu Chen
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Miroslava Karafiátová
- Institute of Experimental Botany of the Czech Academy of SciencesCentre of the Region Haná for Biotechnological and Agricultural ResearchOlomoucCzech Republic
| | - Jan Vrána
- Institute of Experimental Botany of the Czech Academy of SciencesCentre of the Region Haná for Biotechnological and Agricultural ResearchOlomoucCzech Republic
| | - Jan Bartoš
- Institute of Experimental Botany of the Czech Academy of SciencesCentre of the Region Haná for Biotechnological and Agricultural ResearchOlomoucCzech Republic
| | - Jaroslav Doležel
- Institute of Experimental Botany of the Czech Academy of SciencesCentre of the Region Haná for Biotechnological and Agricultural ResearchOlomoucCzech Republic
| | - Aizhong Cao
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| |
Collapse
|
21
|
Calderini DF, Castillo FM, Arenas‐M A, Molero G, Reynolds MP, Craze M, Bowden S, Milner MJ, Wallington EJ, Dowle A, Gomez LD, McQueen‐Mason SJ. Overcoming the trade-off between grain weight and number in wheat by the ectopic expression of expansin in developing seeds leads to increased yield potential. THE NEW PHYTOLOGIST 2021; 230:629-640. [PMID: 33124693 PMCID: PMC8048851 DOI: 10.1111/nph.17048] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 10/21/2020] [Indexed: 05/19/2023]
Abstract
Wheat is the most widely grown crop globally, providing 20% of all human calories and protein. Achieving step changes in genetic yield potential is crucial to ensure food security, but efforts are thwarted by an apparent trade-off between grain size and number. Expansins are proteins that play important roles in plant growth by enhancing stress relaxation in the cell wall, which constrains cell expansion. Here, we describe how targeted overexpression of an α-expansin in early developing wheat seeds leads to a significant increase in grain size without a negative effect on grain number, resulting in a yield boost under field conditions. The best-performing transgenic line yielded 12.3% higher average grain weight than the control, and this translated to an increase in grain yield of 11.3% in field experiments using an agronomically appropriate plant density. This targeted transgenic approach provides an opportunity to overcome a common bottleneck to yield improvement across many crops.
Collapse
Affiliation(s)
- Daniel F. Calderini
- Institute of Plant Production and ProtectionUniversidad Austral de ChileCampus Isla TejaValdivia5090000Chile
| | - Francisca M. Castillo
- Institute of Plant Production and ProtectionUniversidad Austral de ChileCampus Isla TejaValdivia5090000Chile
- Institute of Biochemistry and MicrobiologyFaculty of SciencesUniversidad Austral de ChileValdivia5090000Chile
| | - Anita Arenas‐M
- Institute of Plant Production and ProtectionUniversidad Austral de ChileCampus Isla TejaValdivia5090000Chile
- Institute of Biochemistry and MicrobiologyFaculty of SciencesUniversidad Austral de ChileValdivia5090000Chile
| | - Gemma Molero
- International Maize and Wheat Improvement Center (CIMMYT)El BatánTexcocoCP 56237Mexico
| | - Matthew P. Reynolds
- International Maize and Wheat Improvement Center (CIMMYT)El BatánTexcocoCP 56237Mexico
| | | | | | | | | | - Adam Dowle
- CNAPBiology DepartmentUniversity of YorkWentworth Way, HeslingtonYorkYO10 5YWUK
| | - Leonardo D. Gomez
- CNAPBiology DepartmentUniversity of YorkWentworth Way, HeslingtonYorkYO10 5YWUK
| | | |
Collapse
|
22
|
Ren T, Fan T, Chen S, Li C, Chen Y, Ou X, Jiang Q, Ren Z, Tan F, Luo P, Chen C, Li Z. Utilization of a Wheat55K SNP array-derived high-density genetic map for high-resolution mapping of quantitative trait loci for important kernel-related traits in common wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:807-821. [PMID: 33388883 DOI: 10.1007/s00122-020-03732-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 11/18/2020] [Indexed: 05/19/2023]
Abstract
This study mapped QTLs associated with kernel-related traits by high-density genetic map. Five new major and stable QTLs for KL, KDR, SN, and KWPS were mapped in multiple environments. In the present study, a recombinant inbred line population including 371 lines derived from the cross of Chuannong18 and T1208 was genotyped using the Wheat55K single nucleotide polymorphism array. A novel high-density genetic map consisting of 11,583 markers spanning 4192.62 cM and distributed across 21 wheat chromosomes was constructed. QTLs for important kernel-related traits were mapped in multiple environments. A total of 96 and 151 QTLs were mapped by using the ICIM method and the MET method, respectively. And a total of 114 digenic epistatic QTLs were also detected across 21 chromosomes, and the epistatic effects of each trait were analyzed. BLAST analysis showed that 23 QTLs for different kernel-related traits were first time mapped and five of them were major and stable QTLs for kernel diameter ratio (121.34-126.83 cM on 4BS), spike number per square meter (71.32-73.84 cM on 2DS), kernel weight per spike (71.32-75.26 cM on 2DS), and kernel length (16.78-31.64 cM on 6A and 51.63-58.40 cM on 3D), respectively. Fifteen QTL clusters that contained 58 QTLs were also detected, and all most stable QTLs were contained in these QTL clusters. Significant correlations between different traits were detected and discussed. These results lay the foundation for fine mapping and cloning of the gene(s) underlying the stable QTLs detected in this study.
Collapse
Affiliation(s)
- Tianheng Ren
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China.
| | - Tao Fan
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Shulin Chen
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- Provincial Key Laboratory for Plant Genetics and Breeding, WenjiangChengdu, 611130, Sichuan, China
| | - Chunsheng Li
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- Provincial Key Laboratory for Plant Genetics and Breeding, WenjiangChengdu, 611130, Sichuan, China
| | - Yongyan Chen
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- Provincial Key Laboratory for Plant Genetics and Breeding, WenjiangChengdu, 611130, Sichuan, China
| | - Xia Ou
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- Provincial Key Laboratory for Plant Genetics and Breeding, WenjiangChengdu, 611130, Sichuan, China
| | - Qing Jiang
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- Provincial Key Laboratory for Plant Genetics and Breeding, WenjiangChengdu, 611130, Sichuan, China
| | - Zhenglong Ren
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- Provincial Key Laboratory for Plant Genetics and Breeding, WenjiangChengdu, 611130, Sichuan, China
| | - Feiquan Tan
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- Provincial Key Laboratory for Plant Genetics and Breeding, WenjiangChengdu, 611130, Sichuan, China
| | - Peigao Luo
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- Provincial Key Laboratory for Plant Genetics and Breeding, WenjiangChengdu, 611130, Sichuan, China
| | | | - Zhi Li
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China.
- Provincial Key Laboratory for Plant Genetics and Breeding, WenjiangChengdu, 611130, Sichuan, China.
| |
Collapse
|
23
|
Ren T, Fan T, Chen S, Ou X, Chen Y, Jiang Q, Diao Y, Sun Z, Peng W, Ren Z, Tan F, Li Z. QTL Mapping and Validation for Kernel Area and Circumference in Common Wheat via High-Density SNP-Based Genotyping. FRONTIERS IN PLANT SCIENCE 2021; 12:713890. [PMID: 34484276 PMCID: PMC8415916 DOI: 10.3389/fpls.2021.713890] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 07/20/2021] [Indexed: 05/03/2023]
Abstract
As an important component, 1,000 kernel weight (TKW) plays a significant role in the formation of yield traits of wheat. Kernel size is significantly positively correlated to TKW. Although numerous loci for kernel size in wheat have been reported, our knowledge on loci for kernel area (KA) and kernel circumference (KC) remains limited. In the present study, a recombinant inbred lines (RIL) population containing 371 lines genotyped using the Wheat55K SNP array was used to map quantitative trait loci (QTLs) controlling the KA and KC in multiple environments. A total of 54 and 44 QTLs were mapped by using the biparental population or multienvironment trial module of the inclusive composite interval mapping method, respectively. Twenty-two QTLs were considered major QTLs. BLAST analysis showed that major and stable QTLs QKc.sau-6A.1 (23.12-31.64 cM on 6A) for KC and QKa.sau-6A.2 (66.00-66.57 cM on 6A) for KA were likely novel QTLs, which explained 22.25 and 20.34% of the phenotypic variation on average in the 3 year experiments, respectively. Two Kompetitive allele-specific PCR (KASP) markers, KASP-AX-109894590 and KASP-AX-109380327, were developed and tightly linked to QKc.sau-6A.1 and QKa.sau-6A.2, respectively, and the genetic effects of the different genotypes in the RIL population were successfully confirmed. Furthermore, in the interval where QKa.sau-6A.2 was located on Chinese Spring and T. Turgidum ssp. dicoccoides reference genomes, only 11 genes were found. In addition, digenic epistatic QTLs also showed a significant influence on KC and KA. Altogether, the results revealed the genetic basis of KA and KC and will be useful for the marker-assisted selection of lines with different kernel sizes, laying the foundation for the fine mapping and cloning of the gene(s) underlying the stable QTLs detected in this study.
Collapse
Affiliation(s)
- Tianheng Ren
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
- Provincial Key Laboratory for Plant Genetics and Breeding, Chengdu, China
- *Correspondence: Tianheng Ren
| | - Tao Fan
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
- Provincial Key Laboratory for Plant Genetics and Breeding, Chengdu, China
| | - Shulin Chen
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
- Provincial Key Laboratory for Plant Genetics and Breeding, Chengdu, China
| | - Xia Ou
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
- Provincial Key Laboratory for Plant Genetics and Breeding, Chengdu, China
| | - Yongyan Chen
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
- Provincial Key Laboratory for Plant Genetics and Breeding, Chengdu, China
| | - Qing Jiang
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
- Provincial Key Laboratory for Plant Genetics and Breeding, Chengdu, China
| | - Yixin Diao
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
- Provincial Key Laboratory for Plant Genetics and Breeding, Chengdu, China
| | - Zixin Sun
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
- Provincial Key Laboratory for Plant Genetics and Breeding, Chengdu, China
| | - Wanhua Peng
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
- Provincial Key Laboratory for Plant Genetics and Breeding, Chengdu, China
| | - Zhenglong Ren
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
- Provincial Key Laboratory for Plant Genetics and Breeding, Chengdu, China
| | - Feiquan Tan
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
- Provincial Key Laboratory for Plant Genetics and Breeding, Chengdu, China
| | - Zhi Li
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
- Provincial Key Laboratory for Plant Genetics and Breeding, Chengdu, China
- Zhi Li
| |
Collapse
|
24
|
A haplotype-led approach to increase the precision of wheat breeding. Commun Biol 2020; 3:712. [PMID: 33239669 PMCID: PMC7689427 DOI: 10.1038/s42003-020-01413-2] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 10/15/2020] [Indexed: 12/11/2022] Open
Abstract
Crop productivity must increase at unprecedented rates to meet the needs of the growing worldwide population. Exploiting natural variation for the genetic improvement of crops plays a central role in increasing productivity. Although current genomic technologies can be used for high-throughput identification of genetic variation, methods for efficiently exploiting this genetic potential in a targeted, systematic manner are lacking. Here, we developed a haplotype-based approach to identify genetic diversity for crop improvement using genome assemblies from 15 bread wheat (Triticum aestivum) cultivars. We used stringent criteria to identify identical-by-state haplotypes and distinguish these from near-identical sequences (~99.95% identity). We showed that each cultivar shares ~59 % of its genome with other sequenced cultivars and we detected the presence of extended haplotype blocks containing hundreds to thousands of genes across all wheat chromosomes. We found that genic sequence alone was insufficient to fully differentiate between haplotypes, as were commonly used array-based genotyping chips due to their gene centric design. We successfully used this approach for focused discovery of novel haplotypes from a landrace collection and documented their potential for trait improvement in modern bread wheat. This study provides a framework for defining and exploiting haplotypes to increase the efficiency and precision of wheat breeding towards optimising the agronomic performance of this crucial crop. Brinton, Uauy and colleagues utilize genomic data from the 10+ Wheat Genome Project to develop a useful tool for studying and generating new wheat cultivars. This framework uses advanced exploitation of wheat haplotypes to bring newfound precision and efficiency to wheat breeding.
Collapse
|
25
|
Shoaib M, Yang W, Shan Q, Sun L, Wang D, Sajjad M, Li X, Sun J, Liu D, Zhan K, Zhang A. TaCKX gene family, at large, is associated with thousand-grain weight and plant height in common wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:3151-3163. [PMID: 32852585 DOI: 10.1007/s00122-020-03661-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Accepted: 08/03/2020] [Indexed: 10/23/2022]
Abstract
KEY MESSAGE We used SMRT sequencing and explored the haplotypes of TaCKX genes, linked with thousand-grain weight and plant height, and developed the functionally validated markers, which can be used in the marker-assisted breeding program. Cytokinin oxidase/dehydrogenase (CKX) enzymes catalyze the permanent degradation of cytokinins. Identification of the TaCKX alleles associated with yield traits and the development of functional markers is the first step in using these alleles in marker-assisted breeding program. To identify the alleles, we sequenced the genome fragments, containing TaCKX genes from 48 wheat genotypes, by PacBio® sequencing. Six out of 22 TaCKX genes were found polymorphic, forming 14 distinct haplotypes. Functional markers were developed and validated for all the polymorphic TaCKX genes. Four specific haplotypes, i.e., TaCKX2A_2, TaCKX4A_2, TaCKX5A_3, and TaCKX9A_2, were found significantly associated with high thousand-grain weight (TGW) and short plant height (PH) in Chinese wheat micro-core collection (MCC) and GWAS open population (GWAS-OP), whereas TaCKX1B_2 in GWAS-OP and TaCKX11A_3 in MCC were significantly associated with high TGW and short PH. The mean values of TGW and PH for cumulative favorable haplotypes from chromosome 3A, i.e., TaCKX2A_2, TaCKX4A_2, and TaCKX5A_3, were significantly higher as compared to the cumulative unfavored haplotypes, and the change was additive in manner. Frequency distribution analysis revealed that since the 1960s, the frequency of the favorable haplotypes and TGW has gradually increased in Chinese wheat cultivars. Expression profiling in the seed tissue excised at 2, 4, 6, and 8 days after anthesis depicted that the favorable haplotypes are significantly less expressive as compared to the unfavored haplotypes. We conclude that the functional markers developed in this study can be used to select the favorable haplotypes of TaCKX genes in wheat marker-assisted breeding programs.
Collapse
Affiliation(s)
- Muhammad Shoaib
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wenlong Yang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Qiangqiang Shan
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- The Collaborative Innovation Center for Grain Crops in Henan, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Linhe Sun
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Dongzhi Wang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Muhammad Sajjad
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- Department of Biosciences, COMSATS University Islamabad, Park Road, Tarlaikalan, Islamabad, 45550, Pakistan
| | - Xin Li
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Jiazhu Sun
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Dongcheng Liu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Kehui Zhan
- The Collaborative Innovation Center for Grain Crops in Henan, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Aimin Zhang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.
| |
Collapse
|
26
|
Paul MJ, Watson A, Griffiths CA. Trehalose 6-phosphate signalling and impact on crop yield. Biochem Soc Trans 2020; 48:2127-2137. [PMID: 33005918 PMCID: PMC7609034 DOI: 10.1042/bst20200286] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 09/08/2020] [Accepted: 09/09/2020] [Indexed: 02/08/2023]
Abstract
The domestication and breeding of crops has been a major achievement for mankind enabling the development of stable societies and civilisation. Crops have become more productive per unit area of cultivated land over the course of domestication supporting a current global population of 7.8 billion. Food security crops such as wheat and maize have seen large changes compared with early progenitors. Amongst processes that have been altered in these crops, is the allocation of carbon resources to support larger grain yield (grain number and size). In wheat, reduction in stem height has enabled diversion of resources from stems to ears. This has freed up carbon to support greater grain yield. Green revolution genes responsible for reductions in stem height are known, but a unifying mechanism for the active regulation of carbon resource allocation towards and within sinks has however been lacking. The trehalose 6-phosphate (T6P) signalling system has emerged as a mechanism of resource allocation and has been implicated in several crop traits including assimilate partitioning and improvement of yield in different environments. Understanding the mode of action of T6P through the SnRK1 protein kinase regulatory system is providing a basis for a unifying mechanism controlling whole-plant resource allocation and source-sink interactions in crops. Latest results show it is likely that the T6P/SnRK1 pathway can be harnessed for further improvements such as grain number and grain filling traits and abiotic stress resilience through targeted gene editing, breeding and chemical approaches.
Collapse
Affiliation(s)
- Matthew J. Paul
- Plant Science, Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, U.K
| | - Amy Watson
- Plant Science, Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, U.K
| | - Cara A. Griffiths
- Plant Science, Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, U.K
| |
Collapse
|
27
|
Guan P, Shen X, Mu Q, Wang Y, Wang X, Chen Y, Zhao Y, Chen X, Zhao A, Mao W, Guo Y, Xin M, Hu Z, Yao Y, Ni Z, Sun Q, Peng H. Dissection and validation of a QTL cluster linked to Rht-B1 locus controlling grain weight in common wheat (Triticum aestivum L.) using near-isogenic lines. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:2639-2653. [PMID: 32488301 DOI: 10.1007/s00122-020-03622-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Accepted: 05/22/2020] [Indexed: 05/23/2023]
Abstract
This study dissected and validated a QTL cluster associated with thousand grain weight on chromosome 4B using multiple near-isogenic lines in common wheat. Grain size and weight are crucial components of wheat yield. Previously, we identified a QTL cluster for thousand grain weight (TGW) on chromosome 4B using the Nongda3338 (ND3338)/Jingdong6 (JD6) doubled haploid population. Here, near-isogenic lines (NILs) in the ND3338 background were developed to dissect and validate the QTL cluster. Based on six independent BC3F3:4 heterogeneous inbred families, the 4B QTL cluster was divided into two linked QTL intervals (designated 4B.1 and 4B.2 QTL). For the 4B.1 QTL, the Rht-B1 gene, of which Rht-B1b allele reduces plant height (PH) by 21.18-29.34 cm (34.34-53.71%), was demonstrated to be the most likely candidate gene with pleiotropic effects on grain size and TGW. For the 4B.2 QTL, the NILJD6 consistently showed an increase in TGW of 3.51-7.68 g (8.84-22.77%) compared with NILND3338 across different field trials, along with a significant increase in PH of 2.26-6.71 cm (3.92-12.01%). Moreover, both QTL intervals had a larger effect on grain width than on grain length. Additionally, the first significant difference in 100-grain fresh weight and 100-grain dry weight between the NIL pairs of the 4B.1 QTL interval (Rht-B1) was observed at 6 days after pollination (DAP), while the differences were first visible at 30 DAP for the 4B.2 QTL interval. Collectively, our work provides a new example of QTL dissection for grain weight in wheat and lays a foundation for further map-based cloning of the major QTL that have potential applications in wheat molecular breeding for high yield.
Collapse
Affiliation(s)
- Panfeng Guan
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
- College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Xueyi Shen
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Qing Mu
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Yongfa Wang
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Xiaobo Wang
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Yongming Chen
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Yue Zhao
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Xiyong Chen
- Hebei Crop Genetic Breeding Laboratory, Institute of Cereal and Oil Crops of Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, 050035, China
| | - Aiju Zhao
- Hebei Crop Genetic Breeding Laboratory, Institute of Cereal and Oil Crops of Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, 050035, China
| | - Weiwei Mao
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Yiwen Guo
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Mingming Xin
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Zhaorong Hu
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Yingyin Yao
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Zhongfu Ni
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Qixin Sun
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Huiru Peng
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
| |
Collapse
|
28
|
Wu Y, Li M, He Z, Dreisigacker S, Wen W, Jin H, Zhai S, Li F, Gao F, Liu J, Wang R, Zhang P, Wan Y, Cao S, Xia X. Development and validation of high-throughput and low-cost STARP assays for genes underpinning economically important traits in wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:2431-2450. [PMID: 32451598 DOI: 10.1007/s00122-020-03609-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Accepted: 05/13/2020] [Indexed: 05/12/2023]
Abstract
We developed and validated 56 gene-specific semi-thermal asymmetric reverse PCR (STARP) markers for 46 genes of important wheat quality, biotic and abiotic stress resistance, grain yield, and adaptation-related traits for marker-assisted selection in wheat breeding. Development of high-throughput, low-cost, gene-specific molecular markers is important for marker-assisted selection in wheat breeding. In this study, we developed 56 gene-specific semi-thermal asymmetric reverse PCR (STARP) markers for wheat quality, tolerance to biotic and abiotic stresses, grain yield, and adaptation-related traits. The STARP assays were validated by (1) comparison of the assays with corresponding diagnostic STS/CAPS markers on 40 diverse wheat cultivars and (2) characterization of allelic effects based on the phenotypic and genotypic data of three segregating populations and 305 diverse wheat accessions from China and 13 other countries. The STARP assays showed the advantages of high-throughput, accuracy, flexibility, simple assay design, low operational costs, and platform compatibility. The state-of-the-art assays of this study provide a robust and reliable molecular marker toolkit for wheat breeding programs.
Collapse
Affiliation(s)
- Yuying Wu
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Ming Li
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Zhonghu He
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
- International Maize and Wheat Improvement Center (CIMMYT) China Office, c/o CAAS, 12 Zhongguancun South Street, Beijing, 100081, China
| | - Susanne Dreisigacker
- Global Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-641, 06600, Mexico, DF, Mexico
| | - Weie Wen
- Department of Cell Biology, Zunyi Medical University, 201 Dalian Road, Zunyi, 563099, Guizhou, China
| | - Hui Jin
- Institute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, 368 Xuefu Street, Harbin, 150086, Heilongjiang, China
| | - Shengnan Zhai
- Crop Research Institute, National Engineering Laboratory for Wheat and Maize, Key Laboratory of Wheat Biology and Genetic Improvement in the Northern Yellow-Huai Rivers Valley of Ministry of Agriculture and Rural Affairs, Shandong Academy of Agricultural Sciences, 202 Gongye North Road, Jinan, 250100, Shandong, China
| | - Faji Li
- Crop Research Institute, National Engineering Laboratory for Wheat and Maize, Key Laboratory of Wheat Biology and Genetic Improvement in the Northern Yellow-Huai Rivers Valley of Ministry of Agriculture and Rural Affairs, Shandong Academy of Agricultural Sciences, 202 Gongye North Road, Jinan, 250100, Shandong, China
| | - Fengmei Gao
- Crop Research Institute, Heilongjiang Academy of Agricultural Sciences, 368 Xuefu Street, Harbin, 150086, Heilongjiang, China
| | - Jindong Liu
- Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, 7 Pengfei Road, Shenzhen, 518120, Guangdong, China
| | - Rongge Wang
- Farm of Seed Production of Gaoyi County, Gaoyi, 051330, Hebei, China
| | - Pingzhi Zhang
- Crop Research Institute, Anhui Academy of Agricultural Sciences, 40 Nongke South Street, Hefei, 230001, Anhui, China
| | - Yingxiu Wan
- Crop Research Institute, Anhui Academy of Agricultural Sciences, 40 Nongke South Street, Hefei, 230001, Anhui, China
| | - Shuanghe Cao
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Xianchun Xia
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
| |
Collapse
|
29
|
Cao S, Xu D, Hanif M, Xia X, He Z. Genetic architecture underpinning yield component traits in wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:1811-1823. [PMID: 32062676 DOI: 10.1007/s00122-020-03562-8] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Accepted: 02/06/2020] [Indexed: 05/19/2023]
Abstract
Genetic atlas, reliable QTL and candidate genes of yield component traits in wheat were figured out, laying concrete foundations for map-based gene cloning and dissection of regulatory mechanisms underlying yield. Mining genetic loci for yield is challenging due to the polygenic nature, large influence of environment and complex relationship among yield component traits (YCT). Many genetic loci related to wheat yield have been identified, but its genetic architecture and key genetic loci for selection are largely unknown. Wheat yield potential can be determined by three YCT, thousand kernel weight, kernel number per spike and spike number. Here, we summarized the genetic loci underpinning YCT from QTL mapping, association analysis and homology-based gene cloning. The major loci determining yield-associated agronomic traits, such as flowering time and plant height, were also included in comparative analyses with those for YCT. We integrated yield-related genetic loci onto chromosomes based on their physical locations. To identify the major stable loci for YCT, 58 QTL-rich clusters (QRC) were defined based on their distribution on chromosomes. Candidate genes in each QRC were predicted according to gene annotation of the wheat reference genome and previous information on validation of those genes in other species. Finally, a technological route was proposed to take full advantage of the resultant resources for gene cloning, molecular marker-assisted breeding and dissection of molecular regulatory mechanisms underlying wheat yield.
Collapse
Affiliation(s)
- Shuanghe Cao
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
| | - Dengan Xu
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Mamoona Hanif
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Xianchun Xia
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Zhonghu He
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
- International Maize and Wheat Improvement Center (CIMMYT), c/o CAAS, 12 Zhongguancun South Street, Beijing, 100081, China.
| |
Collapse
|
30
|
Gupta PK, Balyan HS, Sharma S, Kumar R. Genetics of yield, abiotic stress tolerance and biofortification in wheat (Triticum aestivum L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:1569-1602. [PMID: 32253477 DOI: 10.1007/s00122-020-03583-3] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 03/13/2020] [Indexed: 05/18/2023]
Abstract
A review of the available literature on genetics of yield and its component traits, tolerance to abiotic stresses and biofortification should prove useful for future research in wheat in the genomics era. The work reviewed in this article mainly covers the available information on genetics of some important quantitative traits including yield and its components, tolerance to abiotic stresses (heat, drought, salinity and pre-harvest sprouting = PHS) and biofortification (Fe/Zn and phytate contents with HarvestPlus Program) in wheat. Major emphasis is laid on the recent literature on QTL interval mapping and genome-wide association studies, giving lists of known QTL and marker-trait associations. Candidate genes for different traits and the cloned and characterized genes for yield traits along with the molecular mechanism are also described. For each trait, an account of the present status of marker-assisted selection has also been included. The details of available results have largely been presented in the form of tables; some of these tables are included as supplementary files.
Collapse
Affiliation(s)
- Pushpendra Kumar Gupta
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, 250 004, India.
| | - Harindra Singh Balyan
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, 250 004, India
| | - Shailendra Sharma
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, 250 004, India
| | - Rahul Kumar
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, 250 004, India
| |
Collapse
|
31
|
Rasheed A, Takumi S, Hassan MA, Imtiaz M, Ali M, Morgunov AI, Mahmood T, He Z. Appraisal of wheat genomics for gene discovery and breeding applications: a special emphasis on advances in Asia. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:1503-1520. [PMID: 31897516 DOI: 10.1007/s00122-019-03523-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 12/23/2019] [Indexed: 06/10/2023]
Abstract
We discussed the most recent efforts in wheat functional genomics to discover new genes and their deployment in breeding with special emphasis on advances in Asian countries. Wheat research community is making significant progress to bridge genotype-to-phenotype gap and then applying this knowledge in genetic improvement. The advances in genomics and phenomics have intrigued wheat researchers in Asia to make best use of this knowledge in gene and trait discovery. These advancements include, but not limited to, map-based gene cloning, translational genomics, gene mapping, association genetics, gene editing and genomic selection. We reviewed more than 57 homeologous genes discovered underpinning important traits and multiple strategies used for their discovery. Further, the complementary advancements in wheat phenomics and analytical approaches to understand the genetics of wheat adaptability, resilience to climate extremes and resistance to pest and diseases were discussed. The challenge to build a gold standard reference genome sequence of bread wheat is now achieved and several de novo reference sequences from the cultivars representing different gene pools will be available soon. New pan-genome sequencing resources of wheat will strengthen the foundation required for accelerated gene discovery and provide more opportunities to practice the knowledge-based breeding.
Collapse
Affiliation(s)
- Awais Rasheed
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
- International Maize and Wheat Improvement Center (CIMMYT), CAAS, 12 Zhongguancun South Street, Beijing, 100081, China.
- Department of Plant Sciences, Quaid-i-Azam University, Islamabad, 45320, Pakistan.
| | - Shigeo Takumi
- Graduate School of Agricultural Science, Kobe University, Rokkodai 1-1, Nada, Kobe, 657-8501, Japan
| | - Muhammad Adeel Hassan
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Muhammad Imtiaz
- International Maize and Wheat Improvement Center (CIMMYT) Pakistan office, c/o National Agriculture Research Center (NARC), Islamabad, Pakistan
| | - Mohsin Ali
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Alex I Morgunov
- International Maize and Wheat Improvement Center (CIMMYT), Yenimahalle, Ankara, 06170, Turkey
| | - Tariq Mahmood
- Department of Plant Sciences, Quaid-i-Azam University, Islamabad, 45320, Pakistan
| | - Zhonghu He
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
- International Maize and Wheat Improvement Center (CIMMYT), CAAS, 12 Zhongguancun South Street, Beijing, 100081, China
| |
Collapse
|
32
|
Paul MJ, Watson A, Griffiths CA. Linking fundamental science to crop improvement through understanding source and sink traits and their integration for yield enhancement. JOURNAL OF EXPERIMENTAL BOTANY 2020; 71:2270-2280. [PMID: 31665486 PMCID: PMC7134924 DOI: 10.1093/jxb/erz480] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 10/11/2019] [Indexed: 05/19/2023]
Abstract
Understanding processes in sources and sinks that contribute to crop yields has taken years of painstaking research. For crop yield improvement, processes need to be understood as standalone mechanisms in addition to how these mechanisms perform at the crop level; currently there is often a chasm between the two. Fundamental mechanisms need to be considered in the context of crop ideotypes and the agricultural environment which is often more water limited than carbon limited. Different approaches for improvement should be considered, namely is there genetic variation? Or if not, could genetic modification, genome editing, or alternative approaches be utilized? Currently, there are few examples where genetic modification has improved intrinsic yield in the field for commercial application in a major crop. Genome editing, particularly of negative yield regulators as a first step, is providing new opportunities. Here we highlight key mechanisms in source and sink, arguing that for large yield increases integration of key processes is likely to produce the biggest successes within the framework of crop ideotypes with optimized phenology. We highlight a plethora of recent papers that show breakthroughs in fundamental science and the promise of the trehalose 6-phosphate signalling pathway, which regulates carbohydrate allocation which is key for many crop traits.
Collapse
Affiliation(s)
- Matthew J Paul
- Plant Science, Rothamsted Research, Harpenden, Hertfordshire, UK
- Correspondence:
| | - Amy Watson
- Plant Science, Rothamsted Research, Harpenden, Hertfordshire, UK
| | - Cara A Griffiths
- Plant Science, Rothamsted Research, Harpenden, Hertfordshire, UK
| |
Collapse
|
33
|
Abdelrahman M, Burritt DJ, Gupta A, Tsujimoto H, Tran LSP. Heat stress effects on source-sink relationships and metabolome dynamics in wheat. JOURNAL OF EXPERIMENTAL BOTANY 2020; 71:543-554. [PMID: 31232445 DOI: 10.1093/jxb/erz296] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 06/11/2019] [Indexed: 05/21/2023]
Abstract
Crops such as wheat (Triticum spp.) are predicted to face more frequent exposures to heat stress as a result of climate change. Increasing the yield and sustainability of yield under such stressful conditions has long been a major target of wheat breeding, and this goal is becoming increasingly urgent as the global population increases. Exposure of wheat plants in their reproductive or grain-filling stage to high temperature affects the duration and rate of grain filling, and hence has a negative impact on wheat productivity. Therefore, understanding the plasticity of the response to heat stress that exists between wheat genotypes, especially in source-sink relationships at the reproductive and grain-filling stages, is critical for the selection of germplasm that can maintain high yields under heat stress. A broad understanding of metabolic dynamics and the relationships between metabolism and heat tolerance is required in order to achieve this goal. Here, we review the current literature concerning the effects of heat stress on sink-source relationships in a wide range of wheat genotypes, and highlight the current metabolomic approaches that are used to investigate high temperature responses in wheat.
Collapse
Affiliation(s)
- Mostafa Abdelrahman
- Arid Land Research Center, Tottori University, Tottori, Japan
- Botany Department, Faculty of Science, Aswan University, Aswan, Egypt
| | - David J Burritt
- Department of Botany, University of Otago, Dunedin, New Zealand
| | - Aarti Gupta
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, India
| | | | - Lam-Son Phan Tran
- Institute of Research and Development, Duy Tan University, Quang Trung, Da Nang, Vietnam
- Stress Adaptation Research Unit, RIKEN Center for Sustainable Resource Science, Tsurumi Yokohama, Japan
| |
Collapse
|
34
|
Gahlaut V, Jaiswal V, Singh S, Balyan HS, Gupta PK. Multi-Locus Genome Wide Association Mapping for Yield and Its Contributing Traits in Hexaploid Wheat under Different Water Regimes. Sci Rep 2019; 9:19486. [PMID: 31862891 PMCID: PMC6925107 DOI: 10.1038/s41598-019-55520-0] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Accepted: 11/29/2019] [Indexed: 11/20/2022] Open
Abstract
Multi-locus genome wide association study was undertaken using a set of 320 diverse spring wheat accessions, which were each genotyped for 9,626 SNPs. The association panel was grown in replicated trials in four environments [two each in irrigated (IR) and rainfed (RF) environments], and phenotypic data were recorded for five traits including days to heading, days to maturity, plant height, thousand grain weight and grain yield. Forty-six significant marker-trait associations (MTAs) were identified for five traits. These included 20 MTAs in IR and 19 MTAs in RF environments; seven additional MTAs were common to both the environments. Five of these MTAs were co-localized with previously known QTL/MTAs and the remaining MTAs were novel and add to the existing knowledge. Three desirable haplotypes for agronomic traits, one for improvement in RF environment and two for improvement in IR environment were identified. Eighteen (18) promising candidate genes (CGs) involved in seven different biological activities were also identified. The expression profiles of four (Trehalose-6-Phosphate, APETALA2/Ethylene-responsive factor, DNA-binding One Zinc Finger and Gibberellin-dioxygenases) of the 18 genes showed that they were induced by drought stress in the wheat seedlings. The MTAs, haplotypes and CG-based markers may be used in marker-assisted breeding for drought tolerance in wheat.
Collapse
Affiliation(s)
- Vijay Gahlaut
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, India
- Department of Plant Molecular Biology, University of Delhi, South Campus, New Delhi, India
| | - Vandana Jaiswal
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, India
- School of Life Sciences, Jawaharlal Nehru University, New Delhi, India
| | | | - H S Balyan
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, India
| | - P K Gupta
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, India.
| |
Collapse
|
35
|
Lin Q, Yang J, Wang Q, Zhu H, Chen Z, Dao Y, Wang K. Overexpression of the trehalose-6-phosphate phosphatase family gene AtTPPF improves the drought tolerance of Arabidopsis thaliana. BMC PLANT BIOLOGY 2019; 19:381. [PMID: 31477017 PMCID: PMC6721209 DOI: 10.1186/s12870-019-1986-5] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 08/26/2019] [Indexed: 05/20/2023]
Abstract
BACKGROUND Trehalose-6-phosphate phosphatases (TPPs), which are encoded by members of the TPP gene family, can improve the drought tolerance of plants. However, the molecular mechanisms underlying the dynamic regulation of TPP genes during drought stress remain unclear. In this study, we explored the function of an Arabidopsis TPP gene by conducting comparative analyses of a loss-of-function mutant and overexpression lines. RESULTS The loss-of-function mutation of Arabidopsis thaliana TPPF, a member of the TPP gene family, resulted in a drought-sensitive phenotype, while a line overexpressing TPPF showed significantly increased drought tolerance and trehalose accumulation. Compared with wild-type plants, tppf1 mutants accumulated more H2O2 under drought, while AtTPPF-overexpressing plants accumulated less H2O2 under drought. Overexpression of AtTPPF led to increased contents of trehalose, sucrose, and total soluble sugars under drought conditions; these compounds may play a role in scavenging reactive oxygen species. Yeast one-hybrid and luciferase activity assays revealed that DREB1A could bind to the DRE/CRT element within the AtTPPF promoter and activate the expression of AtTPPF. A transcriptome analysis of the TPPF-overexpressing plants revealed that the expression levels of drought-repressed genes involved in electron transport activity and cell wall modification were upregulated, while those of stress-related transcription factors related to water deprivation were downregulated. These results indicate that, as well as its involvement in regulating trehalose and soluble sugars, AtTPPF is involved in regulating the transcription of stress-responsive genes. CONCLUSION AtTPPF functions in regulating levels of trehalose, reactive oxygen species, and sucrose levels during drought stress, and the expression of AtTPPF is activated by DREB1A in Arabidopsis. These findings shed light on the molecular mechanism by which AtTPPF regulates the response to drought stress.
Collapse
Affiliation(s)
- Qingfang Lin
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, 350002 Fujian China
| | - Jiao Yang
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, 350002 Fujian China
| | - Qiongli Wang
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, 350002 Fujian China
| | - Hong Zhu
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, 350002 Fujian China
| | - Zhiyong Chen
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, 350002 Fujian China
| | - Yihang Dao
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, 350002 Fujian China
| | - Kai Wang
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, 350002 Fujian China
- National Engineering Research Center of Sugarcane, Fujian Agriculture and Forestry University, Fuzhou, 350002 China
| |
Collapse
|
36
|
Brinton J, Uauy C. A reductionist approach to dissecting grain weight and yield in wheat. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2019; 61:337-358. [PMID: 30421518 PMCID: PMC6492019 DOI: 10.1111/jipb.12741] [Citation(s) in RCA: 76] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Accepted: 11/07/2018] [Indexed: 05/20/2023]
Abstract
Grain yield is a highly polygenic trait that is influenced by the environment and integrates events throughout the life cycle of a plant. In wheat, the major grain yield components often present compensatory effects among them, which alongside the polyploid nature of wheat, makes their genetic and physiological study challenging. We propose a reductionist and systematic approach as an initial step to understand the gene networks regulating each individual yield component. Here, we focus on grain weight and discuss the importance of examining individual sub-components, not only to help in their genetic dissection, but also to inform our mechanistic understanding of how they interrelate. This knowledge should allow the development of novel combinations, across homoeologs and between complementary modes of action, thereby advancing towards a more integrated strategy for yield improvement. We argue that this will break barriers in terms of phenotypic variation, enhance our understanding of the physiology of yield, and potentially deliver improved on-farm yield.
Collapse
Affiliation(s)
- Jemima Brinton
- John Innes CentreNorwich Research ParkNorwich NR4 7UHUnited Kingdom
| | - Cristobal Uauy
- John Innes CentreNorwich Research ParkNorwich NR4 7UHUnited Kingdom
| |
Collapse
|
37
|
Sehgal D, Mondal S, Guzman C, Garcia Barrios G, Franco C, Singh R, Dreisigacker S. Validation of Candidate Gene-Based Markers and Identification of Novel Loci for Thousand-Grain Weight in Spring Bread Wheat. FRONTIERS IN PLANT SCIENCE 2019; 10:1189. [PMID: 31616457 PMCID: PMC6775465 DOI: 10.3389/fpls.2019.01189] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2019] [Accepted: 08/29/2019] [Indexed: 05/14/2023]
Abstract
Increased thousand-grain weight (TGW) is an important breeding target for indirectly improving grain yield (GY). Fourteen reported candidate genes known to enhance TGW were evaluated in two independent and existing datasets of wheat at CIMMYT, the Elite Yield Trial (EYT) from 2015 to 2016 (EYT2015-16) and the Wheat Association Mapping Initiative (WAMI) panel, to study their allele effects on TGW and to verify their suitability for marker-assisted selection. Of these, significant associations were detected for only one gene (TaGs3-D1) in the EYT2015-16 and two genes (TaTGW6 and TaSus1) in WAMI. The reported favorable alleles of TaGs3-D1 and TaTGW6 genes decreased TGW in the datasets. A haplotype-based genome wide association study was implemented to identify the genetic determinants of TGW on a large set of CIMMYT germplasm (4,302 lines comprising five EYTs), which identified 15 haplotype blocks to be significantly associated with TGW. Four of them, identified on chromosomes 4A, 6A, and 7A, were associated with TGW in at least three EYTs. The locus on chromosome 6A (Hap-6A-13) had the largest effect on TGW and additionally GY with increases of up to 2.60 g and 258 kg/ha, respectively. Discovery of novel TGW loci described in our study expands the opportunities for developing diagnostic markers and for multi-gene pyramiding to derive new allele combinations for enhanced TGW and GY in CIMMYT wheat.
Collapse
Affiliation(s)
| | | | - Carlos Guzman
- Departamento de Genética, Escuela Técnica Superior de Ingeniería Agronómica y de Montes, Edificio Gregor Mendel, Campus de Rabanales, Universidad de Córdoba, Córdoba, Spain
| | | | | | - Ravi Singh
- Department of Bioscience, CIMMYT, Texcoco, Mexico
| | - Susanne Dreisigacker
- Department of Bioscience, CIMMYT, Texcoco, Mexico
- *Correspondence: Susanne Dreisigacker,
| |
Collapse
|
38
|
Li F, Wen W, He Z, Liu J, Jin H, Cao S, Geng H, Yan J, Zhang P, Wan Y, Xia X. Genome-wide linkage mapping of yield-related traits in three Chinese bread wheat populations using high-density SNP markers. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2018; 131:1903-1924. [PMID: 29858949 DOI: 10.1007/s00122-018-3122-6] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Accepted: 05/24/2018] [Indexed: 05/19/2023]
Abstract
We identified 21 new and stable QTL, and 11 QTL clusters for yield-related traits in three bread wheat populations using the wheat 90 K SNP assay. Identification of quantitative trait loci (QTL) for yield-related traits and closely linked molecular markers is important in order to identify gene/QTL for marker-assisted selection (MAS) in wheat breeding. The objectives of the present study were to identify QTL for yield-related traits and dissect the relationships among different traits in three wheat recombinant inbred line (RIL) populations derived from crosses Doumai × Shi 4185 (D × S), Gaocheng 8901 × Zhoumai 16 (G × Z) and Linmai 2 × Zhong 892 (L × Z). Using the available high-density linkage maps previously constructed with the wheat 90 K iSelect single nucleotide polymorphism (SNP) array, 65, 46 and 53 QTL for 12 traits were identified in the three RIL populations, respectively. Among them, 34, 23 and 27 were likely to be new QTL. Eighteen common QTL were detected across two or three populations. Eleven QTL clusters harboring multiple QTL were detected in different populations, and the interval 15.5-32.3 cM around the Rht-B1 locus on chromosome 4BS harboring 20 QTL is an important region determining grain yield (GY). Thousand-kernel weight (TKW) is significantly affected by kernel width and plant height (PH), whereas flag leaf width can be used to select lines with large kernel number per spike. Eleven candidate genes were identified, including eight cloned genes for kernel, heading date (HD) and PH-related traits as well as predicted genes for TKW, spike length and HD. The closest SNP markers of stable QTL or QTL clusters can be used for MAS in wheat breeding using kompetitive allele-specific PCR or semi-thermal asymmetric reverse PCR assays for improvement of GY.
Collapse
Affiliation(s)
- Faji Li
- College of Agronomy, Xinjiang Agricultural University, Ürümqi, 830052, Xinjiang, China
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Weie Wen
- College of Agronomy, Xinjiang Agricultural University, Ürümqi, 830052, Xinjiang, China
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Zhonghu He
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
- International Maize and Wheat Improvement Center (CIMMYT) China Office, c/o CAAS, 12 Zhongguancun South Street, Beijing, 100081, China
| | - Jindong Liu
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Hui Jin
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
- Sino-Russia Agricultural Scientific and Technological Cooperation Center, Heilongjiang Academy of Agricultural Sciences, 368 Xuefu Street, Harbin, 150086, Heilongjiang, China
| | - Shuanghe Cao
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Hongwei Geng
- College of Agronomy, Xinjiang Agricultural University, Ürümqi, 830052, Xinjiang, China
| | - Jun Yan
- Institute of Cotton Research, Chinese Academy of Agricultural Sciences (CAAS), 38 Huanghe Street, Anyang, 455000, Henan, China
| | - Pingzhi Zhang
- Crop Research Institute, Anhui Academy of Agricultural Sciences, 40 Nongke South Street, Hefei, 230001, Anhui, China
| | - Yingxiu Wan
- Crop Research Institute, Anhui Academy of Agricultural Sciences, 40 Nongke South Street, Hefei, 230001, Anhui, China
| | - Xianchun Xia
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
| |
Collapse
|
39
|
Identification and validation of a major chromosome region for high grain number per spike under meiotic stage water stress in wheat (Triticum aestivum L.). PLoS One 2018. [PMID: 29518125 PMCID: PMC5843344 DOI: 10.1371/journal.pone.0194075] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Grain number is a major trait for wheat yield under dryland farming. An International Triticeae Mapping Initiative (ITMI) mapping population comprising 105 recombinant inbred lines (RIL) developed from a cross between a Synthetic hexaploid wheat (Triticum aestivum) ‘W7984’ and a spring wheat variety ‘Opata M85’ was used to identify quantitative trait loci (QTL) associated with grain number per spike under two treatment conditions, normal watering and water stress during meiosis. Two major QTL for grain number per spike on the main stem Q.Gnu.uwa-5A-1 and Q.Gnu.uwa-5A-2 with phenotypic variations of 25.71% and 24.93%, respectively, were detected on the long arm of chromosome 5A when plants were exposed to water stress during meiosis. One QTL (Q.Gnu.uwa-2A) with a LOD score of 2.8 was detected on the long arm of chromosome 2A under normal watering condition. The alleles associated with higher grain number per spike under different treatment conditions came from the Synthetic W7984 parent. Two populations developed from crosses Synthetic W7984 × Lang and Synthetic W7984 × Westonia were used to validate the identified QTL under water stress during meiosis. SSR markers Xbarc230 and Xbarc319 linked with the identified QTL on chromosome 5AL were validated in the two F2:4 segregating populations. These closely linked SSR markers could potentially be utilized in marker-assisted selection to reduce yield loss in regions where water stress during meiosis occurs frequently. The identified QTL can be incorporated into elite lines / cultivars to improve wheat grain yield.
Collapse
|
40
|
Tan Z, Zhang Z, Sun X, Li Q, Sun Y, Yang P, Wang W, Liu X, Chen C, Liu D, Teng Z, Guo K, Zhang J, Liu D, Zhang Z. Genetic Map Construction and Fiber Quality QTL Mapping Using the CottonSNP80K Array in Upland Cotton. FRONTIERS IN PLANT SCIENCE 2018; 9:225. [PMID: 29535744 PMCID: PMC5835031 DOI: 10.3389/fpls.2018.00225] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Accepted: 02/06/2018] [Indexed: 05/04/2023]
Abstract
Cotton fiber quality traits are controlled by multiple quantitative trait loci (QTL), and the improvement of these traits requires extensive germplasm. Herein, an Upland cotton cultivar from America, Acala Maxxa, was crossed with a local high fiber quality cultivar, Yumian 1, and 180 recombinant inbred lines (RILs) were obtained. In order to dissect the genetic basis of fiber quality differences between these parents, a genetic map containing 12116 SNP markers was constructed using the CottonSNP80K assay, which covered 3741.81 cM with an average distance of 0.31 cM between markers. Based on the genetic map and growouts in three environments, we detected a total of 104 QTL controlling fiber quality traits. Among these QTL, 25 were detected in all three environments and 35 in two environments. Meanwhile, 19 QTL clusters were also identified, and nine contained at least one stable QTL (detected in three environments for a given trait). These stable QTL or QTL clusters are priorities for fine mapping, identifying candidate genes, elaborating molecular mechanisms of fiber development, and application in cotton breeding programs by marker-assisted selection (MAS).
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Zhengsheng Zhang
- College of Agronomy and Biotechnology, Southwest University, Chongqing, China
| |
Collapse
|