A single nucleotide deletion in the third exon of <i>FT‐D1</i> increases the spikelet number and delays heading date in wheat (<i>Triticum aestivum</i> L.)

Chen, Zhaoyan; Ke, Wensheng; He, Fei; Chai, Lingling; Cheng, Xuejiao; Xu, Huirong; Wang, Xiaobo; Du, Dejie; Zhao, Yidi; Chen, Xiyong; Xing, Jiewen; Xin, Mingming; Guo, Weilong; Hu, Zhaorong; Su, Zhenqi; Liu, Jie; Peng, Huiru; Yao, Yingyin; Sun, Qixin

doi:10.1111/pbi.13773

Cited by 42 publications

(17 citation statements)

References 69 publications

(107 reference statements)

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“…This genomic region contains FT-D1, a homolog gene of Arabidopsis FLOWERING LOCUS T that regulates wheat flowering and has been frequently reported by many previous studies (Sun et al, 2017;Li et al, 2019;Ward et al, 2019;Chen et al, 2020;Hu et al, 2020;Liu et al, 2020b;Liu et al, 2020c;Yang et al, 2020;Dhakal et al, 2021a;Isham et al, 2021). Isham et al (2021) reported that FT-D1 had an effect on TKW and KPS, and a recent study by Chen et al (2022) further proved its effects on HD and KPS through gene editing. Those results were consistent with the traits associated with the FT-D1 locus detected in this study.…”

Section: Qtl Comparisonsmentioning

confidence: 99%

QTL mapping of yield components and kernel traits in wheat cultivars TAM 112 and Duster

et al. 2022

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In the Southern Great Plains, wheat cultivars have been selected for a combination of outstanding yield and drought tolerance as a long-term breeding goal. To understand the underlying genetic mechanisms, this study aimed to dissect the quantitative trait loci (QTL) associated with yield components and kernel traits in two wheat cultivars `TAM 112' and `Duster' under both irrigated and dryland environments. A set of 182 recombined inbred lines (RIL) derived from the cross of TAM 112/Duster were planted in 13 diverse environments for evaluation of 18 yield and kernel related traits. High-density genetic linkage map was constructed using 5,081 single nucleotide polymorphisms (SNPs) from genotyping-by-sequencing (GBS). QTL mapping analysis detected 134 QTL regions on all 21 wheat chromosomes, including 30 pleiotropic QTL regions and 21 consistent QTL regions, with 10 QTL regions in common. Three major pleiotropic QTL on the short arms of chromosomes 2B (57.5 - 61.6 Mbps), 2D (37.1 - 38.7 Mbps), and 7D (66.0 - 69.2 Mbps) colocalized with genes Ppd-B1, Ppd-D1, and FT-D1, respectively. And four consistent QTL associated with kernel length (KLEN), thousand kernel weight (TKW), plot grain yield (YLD), and kernel spike-1 (KPS) (Qklen.tamu.1A.325, Qtkw.tamu.2B.137, Qyld.tamu.2D.3, and Qkps.tamu.6A.113) explained more than 5% of the phenotypic variation. QTL Qklen.tamu.1A.325 is a novel QTL with consistent effects under all tested environments. Marker haplotype analysis indicated the QTL combinations significantly increased yield and kernel traits. QTL and the linked markers identified in this study will facilitate future marker-assisted selection (MAS) for pyramiding the favorable alleles and QTL map-based cloning.

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Section: Qtl Comparisonsmentioning

confidence: 99%

QTL mapping of yield components and kernel traits in wheat cultivars TAM 112 and Duster

et al. 2022

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“…Bolting and flowing are important biological processes in plant development, and previous studies have shown that FT, TFL1, and their orthologs antagonistically regulate these life history traits (Harig et al, 2012;Yu et al, 2020;Zhu et al, 2020;Chen et al, 2022). To evaluate the responses of carrot PEBP genes during bolting and flowing, qRT-PCR analysis was conducted at eight time points (10 DBB,5 DBB,Bo,5 DAB,10 DAB,15 DAB,Fl,and 5 DAF).…”

Section: Expression Response Of Pebp Family Genes To Bolting and Flow...mentioning

confidence: 99%

Genome-wide identification and characterization profile of phosphatidy ethanolamine-binding protein family genes in carrot

Liu

Zhao²,

Ou³

et al. 2022

Front. Genet.

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Members of the family of Phosphatidy Ethanolamine-Binding Protein (PEBP) have been shown to be key regulators of the transition of plants from vegetative to reproductive phases. Here, a total of 12 PEBP proteins were identified in the carrot (Daucus carota L.) genome and classified into FT-like (4), TFL1-like (6), and MFT-like 2) subfamilies, that had different lengths (110–267 aa) and were distributed unevenly across seven chromosomes. Moreover, 13 and 31 PEBP proteins were identified in other two Apiaceae species, celery (Apium graveolens L.) and coriander (Coriandrum sativum L.). The phylogenetic and evolutionary results of these PEBP family proteins were obtained based on the protein sequences. In the three Apiaceae species, purifying selection was the main evolutionary force, and WGD, segmental duplication, and dispersed duplication have played key roles in the PEBP family expansion. The expression analysis showed that carrot PEBP genes exhibited relatively broad expression patterns across various tissues. In the period of bolting to flowering, the carrot FT-like subfamily genes were upregulated as positive regulators, and TFL1-like subfamily genes remained at lower expression levels as inhibitors. More interestingly, the members of carrot FT-like genes had different temporal-spatial expression characteristics, suggesting that they have different regulatory functions in the carrot reproductive phase. In summary, this study contributes to our understanding of the PEBP family proteins and provides a foundation for exploring the mechanism of carrot bolting and flowering for the breeding of cultivars with bolting resistance.

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“…In previous studies, linked markers were used to investigate the transmissibility ( Fan et al, 2018 ) and distribution ( Liu et al, 2020 ) of a particular genotype of a target QTL. These reports found that many favorable alleles or genotypes have been widely used in genetic improvement ( Chen et al, 2022 ; Deng et al, 2022 ). For instance, the detection of functional markers of FT-D1 ( Chen et al, 2022 ) and TaGW2 ( Su et al, 2011 ) revealed that their superior haplotypes had been frequently selected among Chinese varieties.…”

Section: Discussionmentioning

confidence: 99%

“…These reports found that many favorable alleles or genotypes have been widely used in genetic improvement ( Chen et al, 2022 ; Deng et al, 2022 ). For instance, the detection of functional markers of FT-D1 ( Chen et al, 2022 ) and TaGW2 ( Su et al, 2011 ) revealed that their superior haplotypes had been frequently selected among Chinese varieties. For instance, the frequency of the positive allele of TaGW2 has gradually increased (from 58.3 to 77.4%) in recent decades.…”

Section: Discussionmentioning

confidence: 99%

“…For instance, the frequency of the positive allele of TaGW2 has gradually increased (from 58.3 to 77.4%) in recent decades. Additionally, the excellent allele of FT-D1 occurs at a high frequency (more than 60%) in different worldwide wheat regions ( Chen et al, 2022 ). The high frequency and range of applications of these well-known genes indicate their large contributions to yield improvement in the artificial breeding process.…”

Section: Discussionmentioning

confidence: 99%

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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

Liu

Xu²,

Feng³

et al. 2022

Front. Plant Sci.

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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.

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A single nucleotide deletion in the third exon of FT‐D1 increases the spikelet number and delays heading date in wheat (Triticum aestivum L.)

Cited by 42 publications

References 69 publications

QTL mapping of yield components and kernel traits in wheat cultivars TAM 112 and Duster

QTL mapping of yield components and kernel traits in wheat cultivars TAM 112 and Duster

Genome-wide identification and characterization profile of phosphatidy ethanolamine-binding protein family genes in carrot

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

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