Genome‐wide association analyses of 54 traits identified multiple loci for the determination of floret fertility in wheat

Guo, Zifeng; Chen, Dijun; Alqudah, Ahmad M.; Röder, Marion S.; Ganal, Martin W.; Schnurbusch, Thorsten

doi:10.1111/nph.14342

Cited by 114 publications

(116 citation statements)

References 63 publications

Supporting

Mentioning

105

Contrasting

Order By: Relevance

“…Nevertheless, the genetic complexity associated with wheat hampers map-based cloning and genome-wide association studies (GWAS). Although GWAS has been applied to wheat (for example, Guo et al, 2017;Maccaferri et al, 2015;Sun et al, 2017), it remains highly challenging to pinpoint causal genes within identified genetic loci by a GWAS approach. With a long history of cultivation and artificial selection in diverse ecological zones, common wheat in China has a rich genetic diversity (He et al, 2001).…”

mentioning

confidence: 99%

Transcriptome Association Identifies Regulators of Wheat Spike Architecture

Wang

Tian

et al. 2017

Plant Physiol.

View full text Add to dashboard Cite

The architecture of wheat (Triticum aestivum) inflorescence and its complexity is among the most important agronomic traits that influence yield. For example, wheat spikes vary considerably in the number of spikelets, which are specialized reproductive branches, and the number of florets, which are spikelet branches that produce seeds. The large and repetitive nature of the three homologous and highly similar subgenomes of wheat has impeded attempts at using genetic approaches to uncover beneficial alleles that can be utilized for yield improvement. Using a population-associative transcriptomic approach, we analyzed the transcriptomes of developing spikes in 90 wheat lines comprising 74 landrace and 16 elite varieties and correlated expression with variations in spike complexity traits. In combination with coexpression network analysis, we inferred the identities of genes related to spike complexity. Importantly, further experimental studies identified regulatory genes whose expression is associated with and influences spike complexity. The associative transcriptomic approach utilized in this study allows rapid identification of the genetic basis of important agronomic traits in crops with complex genomes.Grains of cereal crops provide a major source of human diet and nutrition. Improving grain yield is a primary objective during crop domestication and a major goal of crop-breeding programs. Inflorescence (spike) architecture dictates the capacity for seed production in cereal crops, including wheat (Triticum aestivum), the world's most widely grown cereal. In the archetypal bread wheat spike, the inflorescence meristem forms a limited number of lateral spikelet meristems (SMs) per rachis node, and a single terminal SM at the distal end. Each SM is indeterminate and typically produces two to four fertile florets that produce seeds (Fig. 1A; Supplemental Fig. S1; Bonnett, 1936;Fisher, 1973). Like maize (Zea mays) and rice (Oryza sativa), wheat yield per plant largely depends on the number of florets per spike and thus spike architecture. The numbers of SMs (and rachises) and florets per spikelet are major target traits for efforts aimed at improving wheat yield. In addition, the number of SMs per rachis may be increased to increase floret number, as in rare supernumerary spikelet variations.In rice, maize, and barley (Hordeum vulgare), multiple genes regulating spike development have been identified (Sreenivasulu and Schnurbusch, 2012;Tanaka et al., 2013). However, our understanding of wheat spike development remains rudimentary at the molecular level. In wheat, increased transcription levels of Q, an AP2-like gene, was markedly associated with spike compactness, suggesting that the Q gene may be implicated in spike development (Simons et al., 2006), although its role in spike complexity remains unclear. Feng et al. (2017) underlying the genetic regulation of rare supernumerary spikelet variations. For example, wheat Photoperiod1 (Ppd1) was identified as a regulator of paired spikelet formation (Boden et al., 2...

show abstract

mentioning

confidence: 99%

Transcriptome Association Identifies Regulators of Wheat Spike Architecture

Wang

Tian

et al. 2017

Plant Physiol.

View full text Add to dashboard Cite

show abstract

“…We argue that a more detailed understanding of how particular genes and QTL affect individual yield components will allow a more nuanced understanding of these interactions. For example, traditionally grain number and grain size have been considered to be negatively correlated, due to competition for assimilates during grain filling (Sadras ; Guo et al ). However, some genes (e.g.…”

Section: Interactionsmentioning

confidence: 99%

A reductionist approach to dissecting grain weight and yield in wheat

Brinton

Uauy

2019

JIPB

123

View full text Add to dashboard Cite

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.

show abstract

“…Analysis of the dynamics of floret development and abortion have demonstrated that genetic variation for floret fertility exists in modern wheat, and that floret survival could be improved by two methods: (i) extending the period between completion of floret primordia development and initiation of floret degeneration, and (ii) optimizing assimilate distribution to spikelets and florets, which is supported by floret fertility being associated with ovary size at anthesis (Guo and Schnurbusch ; González‐Navarro et al ; Guo et al ; Guo et al ; Prieto et al ).…”

Section: Beyond Domestication: a New Branch Of Understanding For Inflmentioning

confidence: 99%

“…Although the genes that regulate floret survival remain largely unknown, photoperiod insensitive Ppd‐1 alleles, involved in promoting early flowering, reduce the number of fertile florets by effecting the developmental phase during which florets form, the rate of floret appearance and floret survival (González et al ; Prieto et al ) (Figure ). Moreover, a complex QTL analysis of multiple floret fertility‐related traits identified 52 loci, including regions on chromosomes 5B, 5D and 6A, which associate with traits including maximum floret primordia, grain number per spikelet, floret loss and grain survival (Guo et al ). Interestingly, one QTL associated with floret primordia loss was identified on chromosome 2A, in proximity to the wheat homologue of Vrs1 , suggesting that Vrs1 may have a conserved role in barley and wheat for suppressing floret development (Guo et al ).…”

Section: Beyond Domestication: a New Branch Of Understanding For Inflmentioning

confidence: 99%

“…Moreover, a complex QTL analysis of multiple floret fertility‐related traits identified 52 loci, including regions on chromosomes 5B, 5D and 6A, which associate with traits including maximum floret primordia, grain number per spikelet, floret loss and grain survival (Guo et al ). Interestingly, one QTL associated with floret primordia loss was identified on chromosome 2A, in proximity to the wheat homologue of Vrs1 , suggesting that Vrs1 may have a conserved role in barley and wheat for suppressing floret development (Guo et al ). These studies highlight the potential to improve grain production in wheat by harnessing genetic variation of floret fertility‐related traits, and indicate that dissection of the genetic pathways from one of the Triticeae may benefit optimization of inflorescence development for other members of the tribe.…”

Section: Beyond Domestication: a New Branch Of Understanding For Inflmentioning

confidence: 99%

See 1 more Smart Citation

Genetic pathways controlling inflorescence architecture and development in wheat and barley

Gauley

Boden²

2019

JIPB

View full text Add to dashboard Cite

Modifications of inflorescence architecture have been crucial for the successful domestication of wheat and barley, which are central members of the Triticeae tribe that provide essential grains for the human diet. Investigation of the genes and alleles that underpin domestication‐related traits has provided valuable insights into the molecular regulation of inflorescence development of the Triticeae, and further investigation of modified forms of architecture are proving to be equally fruitful. The identified genes are involved in diverse biological processes, including transcriptional regulation, hormone biosynthesis and metabolism, post‐transcriptional and post‐translational regulation, which alter inflorescence architecture by modifying the development and fertility of lateral organs, called spikelets and florets. Recent advances in sequencing capabilities and the generation of mutant populations are accelerating the identification of genes that influence inflorescence development, which is important given that genetic variation for this trait promises to be a valuable resource for optimizing grain production. This review assesses recent advances in our understanding of the genes controlling inflorescence development in wheat and barley, with the aim of highlighting the importance of improvements in developmental biology for optimizing the agronomic performance of staple crop plants.

show abstract

Genome‐wide association analyses of 54 traits identified multiple loci for the determination of floret fertility in wheat

Cited by 114 publications

References 63 publications

Transcriptome Association Identifies Regulators of Wheat Spike Architecture

Transcriptome Association Identifies Regulators of Wheat Spike Architecture

A reductionist approach to dissecting grain weight and yield in wheat

Genetic pathways controlling inflorescence architecture and development in wheat and barley

Contact Info

Product

Resources

About