Characterization of near-isogenic lines confirmed QTL and revealed candidate genes for plant height and yield-related traits in common wheat

Zhang, Yunxiao; Liu, Hui; Yan, Guijun

doi:10.1007/s11032-020-01196-8

Cited by 14 publications

(10 citation statements)

References 74 publications

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“…A QTL (QRv.sau-4B) controlling root volume was reported on chromosome 4BS (105.15 Mb) in bread wheat, only 29.4 Mb away from our studied qDSI.4B.1 [28]. Besides the root trait QTL, a few other yield-related QTL, such as QTL for thousand-kernel weight, were also found on chromosome 4BS as reported earlier [29,30].…”

Section: Targeted Genomic Regions Of Nils Overlap Previously Reported Qtl For Root Traits and Other Yield-related Traitssupporting

confidence: 77%

Identification of Candidate Genes for Root Traits Using Genotype–Phenotype Association Analysis of Near-Isogenic Lines in Hexaploid Wheat (Triticum aestivum L.)

Halder

Liu

Chen

et al. 2021

IJMS

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Global wheat (Triticum aestivum L.) production is constrained by different biotic and abiotic stresses, which are increasing with climate change. An improved root system is essential for adaptability and sustainable wheat production. In this study, 10 pairs of near-isogenic lines (NILs)—targeting four genomic regions (GRs) on chromosome arms 4BS, 4BL, 4AS, and 7AL of hexaploid wheat—were used to phenotype root traits in a semi-hydroponic system. Seven of the 10 NIL pairs significantly differed between their isolines for 11 root traits. The NIL pairs targeting qDSI.4B.1 GR varied the most, followed by the NIL pair targeting qDT.4A.1 and QHtscc.ksu-7A GRs. For pairs 5–7 targeting qDT.4A.1 GR, pair 6 significantly differed in the most root traits. Of the 4 NIL pairs targeting qDSI.4B.1 GR, pairs 2 and 4 significantly differed in 3 and 4 root traits, respectively. Pairs 9 and 10 targeting QHtscc.ksu-7A GR significantly differed in 1 and 4 root traits, respectively. Using the wheat 90K Illumina iSelect array, we identified 15 putative candidate genes associated with different root traits in the contrasting isolines, in which two UDP-glycosyltransferase (UGT)-encoding genes, TraesCS4A02G185300 and TraesCS4A02G442700, and a leucine-rich repeat receptor-like protein kinase (LRR-RLK)-encoding gene, TraesCS4A02G330900, also showed important functions for root trait control in other crops. This study characterized, for the first time, that these GRs control root traits in wheat, and identified candidate genes, although the candidate genes will need further confirmation and validation for marker-assisted wheat breeding.

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Section: Targeted Genomic Regions Of Nils Overlap Previously Reported Qtl For Root Traits and Other Yield-related Traitssupporting

confidence: 77%

Identification of Candidate Genes for Root Traits Using Genotype–Phenotype Association Analysis of Near-Isogenic Lines in Hexaploid Wheat (Triticum aestivum L.)

Halder

Liu

Chen

et al. 2021

IJMS

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“…The wheat’s 4BS is an important genomic location for yield and yield-related traits ( Liu et al, 2020 ; Zhang et al, 2021 ). The reduced height-1 ( Rht1 ) gene associated with the green revolution is located in ∼30 Mbp of 4BS ( Figure 5 ).…”

Section: Discussionmentioning

confidence: 99%

Transcriptome Analyses of Near Isogenic Lines Reveal Putative Drought Tolerance Controlling Genes in Wheat

et al. 2022

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Graphical AbstractThe workflow of this study. (1) Near isogenic lines for qDSI.4B.1 QTL responsible for drought tolerance were grown in control and drought stress conditions, (2) grain samples were collected at 7 and 14 days after stress initiation at anthesis, (3) RNA was extracted, (4) sequenced and (5) data were analysed and organized with focus on 4BS, (6) six candidate genes were found for drought tolerance in qDSI.4B.1 interval and sequencing results were confirmed by qRT-PCR, (7) the protein products and (8) molecular function of the candidate genes were future studied.

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“…The death of individual genotypes, causing a reduction in population size over time, will also reduce the size and genetic value of the mapping population. That is why the development of self-compatible germplasm resources for mapping important agronomic traits through the creation of inbred lines such as RILs and double haploids for broad-scale mapping ( Hina et al , 2020 ) and subsequently NILs for fine-mapping specific genomic regions and candidate gene identification ( Zhang et al , 2021 ) is potentially valuable. These germplasm resources present the advantage of enabling multiple independent mapping projects to analyse a single line, as they are easily stored and distributed as seeds along with being considered ‘immortal’ due to their homozygous nature and capacity to be maintained by self-pollination.…”

Section: Practical Applications Of Sc In Forage Grassesmentioning

confidence: 99%

Characterization and practical use of self-compatibility in outcrossing grass species

et al. 2021

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Background Self-incompatibility (SI) systems prevent self-fertilisation in several species of Poaceae, many of which are economically important forage, bioenergy and turf grasses. SI ensures cross-pollination and genetic diversity but restricts the ability to fix useful genetic variation. In most inbred crops, it is possible to develop high performing homozygous parental lines by self-pollination which then enables the creation of F1 hybrid varieties with higher performance, a phenomenon known as heterosis. The inability to fully exploit heterosis in outcrossing grasses is partially responsible for lower levels of improvement in breeding programmes compared to inbred crops. However, SI can be overcome in forage grasses to create self-compatible populations. This is generating interest in understanding the genetical basis of self-compatibility (SC), its significance for reproductive strategies and its exploitation for crop improvement, especially in the context of F1 hybrid breeding. Scope We review the literature on SI and SC in outcrossing grass species. We review the currently available genomic tools and approaches used to discover and characterise novel SC sources. We discuss opportunities barely explored for outcrossing grasses that SC facilitates. Specifically, we discuss strategies for wide SC introgression in the context of the Lolium-Festuca complex and the use of SC to develop immortalised mapping populations for the dissection of a wide range of agronomically important traits. The germplasm available is a valuable practical resource and will aid understanding of the basis of inbreeding depression and hybrid vigour in key temperate forage grass species. Conclusions A better understanding of the genetic control of additional SC loci offers new insight into SI systems, their evolutionary origins and reproductive significance. Heterozygous outcrossing grass species that can be readily selfed facilitate studies of heterosis. Moreover, SC introduction into a range of grass species will enable heterosis to be exploited in innovative ways in genetic improvement programmes.

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Characterization of near-isogenic lines confirmed QTL and revealed candidate genes for plant height and yield-related traits in common wheat

Cited by 14 publications

References 74 publications

Identification of Candidate Genes for Root Traits Using Genotype–Phenotype Association Analysis of Near-Isogenic Lines in Hexaploid Wheat (Triticum aestivum L.)

Identification of Candidate Genes for Root Traits Using Genotype–Phenotype Association Analysis of Near-Isogenic Lines in Hexaploid Wheat (Triticum aestivum L.)

Transcriptome Analyses of Near Isogenic Lines Reveal Putative Drought Tolerance Controlling Genes in Wheat

Characterization and practical use of self-compatibility in outcrossing grass species

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