Alfalfa (
A population of lettuce that segregated for photoperiod sensitivity was planted under long-day and short-day conditions. Genetic mapping revealed two distinct sets of QTLs controlling daylength-independent and photoperiod-sensitive flowering time.
The molecular mechanism of flowering time regulation in lettuce is of interest to both geneticists and breeders because of the extensive impact of this trait on agricultural production. Lettuce is a facultative long-day plant which changes in flowering time in response to photoperiod. Variations exist in both flowering time and the degree of photoperiod sensitivity among accessions of wild (
- NSF-PAR ID:
- 10274198
- Publisher / Repository:
- Springer Science + Business Media
- Date Published:
- Journal Name:
- Theoretical and Applied Genetics
- ISSN:
- 0040-5752
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Summary Medicago sativa L.) is a perennial flowering plant in the legume family that is widely cultivated as a forage crop for its high yield, forage quality and related agricultural and economic benefits. Alfalfa is a photoperiod sensitive long‐day (LD) plant that can accomplish its vegetative and reproductive phases in a short period of time. However, rapid flowering can compromise forage biomass yield and quality. Here, we attempted to delay flowering in alfalfa using multiplex CRISPR/Cas9‐mediated mutagenesis ofFLOWERING LOCUS Ta1 (MsFTa1 ), a key floral integrator and activator gene. Four guide RNAs (gRNAs) were designed and clustered in a polycistronic tRNA–gRNA system and introduced into alfalfa byAgrobacterium ‐mediated transformation. Ninety‐six putative mutant lines were identified by gene sequencing and characterized for delayed flowering time and related desirable agronomic traits. Phenotype assessment of flowering time under LD conditions identified 22 independent mutant lines with delayed flowering compared to the control. Six independentMsfta1 lines containing mutations in all four copies ofMsFTa1 accumulated significantly higher forage biomass yield, with increases of up to 78% in fresh weight and 76% in dry weight compared to controls. Depending on the harvesting schemes, many of these lines also had reduced lignin, acid detergent fibre (ADF) and neutral detergent fibre (NDF) content and significantly higher crude protein (CP) and mineral contents compared to control plants, especially in the stems. These CRISPR/Cas9‐editedMsfta1 mutants could be introduced in alfalfa breeding programmes to generate elite transgene‐free alfalfa cultivars with improved forage biomass yield and quality. -
Abstract Photoperiod is a key environmental cue affecting flowering and biomass traits in plants. Key components of the photoperiodic flowering pathway have been identified in many species, but surprisingly few studies have globally examined the diurnal rhythm of gene expression with changes in day length. Using a cost‐effective 3′‐Tag RNA sequencing strategy, we characterize 9,010 photoperiod responsive genes with strict statistical testing across a diurnal time series in the C4perennial grass,
. We show that the vast majority of photoperiod responses are driven by complex interactions between day length and sampling periods. A fine‐scale contrast analysis at each sampling time revealed a detailed picture of the temporal reprogramming ofPanicum hallii cis ‐regulatory elements and biological processes under short‐ and long‐day conditions. Phase shift analysis reveals quantitative variation among genes with photoperiod‐dependent diurnal patterns. In addition, we identify three photoperiod enriched transcription factor families with key genes involved in photoperiod flowering regulatory networks. Finally, coexpression networks analysis ofGIGANTEA homolog predicted 1,668 potential coincidence partners, including five well‐known GI‐interacting proteins. Our results not only provide a resource for understanding the mechanisms of photoperiod regulation in perennial grasses but also lay a foundation to increase biomass yield in biofuel crops. -
Premise Whether drought‐adaptation mechanisms tend to evolve together, evolve independently, or evolve constrained by genetic architecture is incompletely resolved, particularly for water‐relations traits besides gas exchange. We addressed this issue in two subspecies of
Clarkia xantiana (Onagraceae), California winter annuals that separated approximately 65,000 years ago and are adapted, partly by differences in flowering time, to native ranges differing in precipitation.Methods In these subspecies and in recombinant inbred lines (RILs) from a cross between them, we scored traits related to drought adaptation (timing of seed germination and of flowering, succulence, pressure–volume curve variables) in common environments.
Results The subspecies native to more arid environments (
parviflora ) exhibited slower seed germination in saturated conditions, earlier flowering, and greater succulence, likely indicating superior drought avoidance, drought escape, and dehydration resistance via water storage. The other subspecies (xantiana ) had lower osmotic potential at full turgor and lower water potential at turgor loss, implying superior dehydration tolerance. Genetic correlations among RILs suggest facilitated evolution of some trait combinations and independence of others. Where genetic correlations exist, subspecies differences fell along them, with the exception of differences in succulence and turgor loss point. In that case, subspecies difference overcame genetic correlations, possibly reflecting strong selection and/or antagonistic genetic correlations with other traits.Conclusions Clarkia xantiana subspecies’ differ in multiple mechanisms of drought adaptation. Genetic architecture generally does not seem to have constrained the evolution of these mechanisms, and it may have facilitated the evolution of some of trait combinations. -
Registration of two rice mapping populations using weedy rice ecotypes as a novel germplasm resource
Abstract Two mapping populations were developed from crosses of the Asian
indica rice (Oryza sativa L.) cultivar ‘Dee Geo Woo Gen’ (DGWG; PI 699210 Parent, PI 699212 Parent) and two weedy rice ecotypes, an early‐flowering straw hull (SH) biotype AR‐2000‐1135‐01 (PI 699209 Parent) collected in Arkansas and a late‐flowering black hull (BHA) biotype MS‐1996‐9 (PI 699211 Parent) collected in Mississippi. The weed and crop‐based rice recombinant inbred line (RIL) mapping populations have been used to identify genomic regions associated with weedy traits as well as resistance to sheath blight and rice blast diseases. The mapping population consists of 185 (DGWG/SH; Reg. no. MP‐9, NSL 541035 MAP) and 234 (BHA/DGWG; Reg. no. MP‐10, NSL 541036 MAP) F8RILs, of which 175 (DGWG/SH) and 224 (BHA/DGWG) were used to construct two linkage maps using single nucleotide polymorphic markers to identify weedy traits, sheath blight, and blast resistance loci. These mapping populations and related datasets represent a valuable resource for basic rice evolutionary genomic research and applied marker‐assisted breeding efforts in disease resistance. -
Abstract In many species, temperature‐sensitive phenotypic plasticity (i.e., an individual's phenotypic response to temperature) displays a positive correlation with latitude, a pattern presumed to reflect local adaptation. This geographical pattern raises two general questions: (a) Do a few large‐effect genes contribute to latitudinal variation in a trait? (b) Is the thermal plasticity of different traits regulated pleiotropically? To address the questions, we crossed individuals of
Plantago lanceolata derived from northern and southern European populations. Individuals naturally exhibited high and low thermal plasticity in floral reflectance and flowering time. We grew parents and offspring in controlled cool‐ and warm‐temperature environments, mimicking what plants would encounter in nature. We obtained genetic markers via genotype‐by‐sequencing, produced the first recombination map for this ecologically important nonmodel species, and performed quantitative trait locus (QTL) mapping of thermal plasticity and single‐environment values for both traits. We identified a large‐effect QTL that largely explained the reflectance plasticity differences between northern and southern populations. We identified multiple smaller‐effect QTLs affecting aspects of flowering time, one of which affected flowering time plasticity. The results indicate that the genetic architecture of thermal plasticity in flowering is more complex than for reflectance. One flowering time QTL showed strong cytonuclear interactions under cool temperatures. Reflectance and flowering plasticity QTLs did not colocalize, suggesting little pleiotropic genetic control and freedom for independent trait evolution. Such genetic information about the architecture of plasticity is environmentally important because it informs us about the potential for plasticity to offset negative effects of climate change.