scholarly journals Environmental responsiveness of flowering time in cassava genotypes and associated transcriptome changes

2021 ◽  
Author(s):  
Deborah N. Oluwasanya ◽  
Andreas Gisel ◽  
Livia Stavolone ◽  
Tim L. Setter
Keyword(s):  
Flowering Time ◽  
Early Flowering ◽  
Field Conditions ◽  
Breeding Cycle ◽  
Environment Interaction ◽  
Effect Analysis ◽  
Tropical Regions ◽  
Environmental Responsiveness ◽  
Before And After ◽  
Inhibitory Signaling

AbstractCassava is an important food security crop in tropical regions of the world. Cassava improvement by breeding is limited by its delayed and poor production of flowers, such that cassava flowering under field conditions indirectly lengthens the breeding cycle. By studying genotype and environment interaction under two Nigerian field conditions (Ubiaja and Ibadan) and three controlled temperature conditions (22°C/18°C, 28/24°C and 34/30°C (day/night)), we found that while early flowering genotypes flowered at similar times and rates under all growing conditions (unfavorable and favorable field and controlled-temperature environments), late flowering genotypes were environmentally sensitive such that they were substantially delayed in unfavorable environments. Flowering times of late genotypes approached the flowering time of early flowering genotypes under relatively cool Ubiaja field conditions and in growth chambers at 22°C, whereas warmer temperatures elicited a delaying effect. Analysis of field and controlled temperature transcriptomes in leaves revealed that conditions that promote early flowering in cassava have low expression of the flowering repressor gene TEMPRANILLO 1 (TEM1), before and after flowering, among others. Field transcriptomes showed that the balance between flower promoting and inhibitory signaling, appeared to correlate with flowering time across the environments and genotypes.

scholarly journals Environmental responsiveness of flowering time in cassava genotypes and associated transcriptome changes

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0253555
Author(s):  
Deborah N. Oluwasanya ◽  
Andreas Gisel ◽  
Livia Stavolone ◽  
Tim L. Setter
Keyword(s):  
Flowering Time ◽  
Early Flowering ◽  
Field Conditions ◽  
Breeding Cycle ◽  
Environment Interaction ◽  
Effect Analysis ◽  
Tropical Regions ◽  
Environmental Responsiveness ◽  
Before And After ◽  
Inhibitory Signaling

Cassava is an important food security crop in tropical regions of the world. Cassava improvement by breeding is limited by its delayed and poor production of flowers, such that cassava flowering under field conditions indirectly lengthens the breeding cycle. By studying genotype and environment interaction under two Nigerian field conditions (Ubiaja and Ibadan) and three controlled temperature conditions (22°C/18°C, 28/24°C and 34/30°C (day/night)), we found that while early flowering genotypes flowered at similar times and rates under all growing conditions (unfavorable and favorable field and controlled-temperature environments), late flowering genotypes were environmentally sensitive such that they were substantially delayed in unfavorable environments. On the basis of nodes-to-flower, flowering of late genotypes approached the flowering time of early flowering genotypes under relatively cool Ubiaja field conditions and in growth chambers at 22°C, whereas warmer temperatures elicited a delaying effect. Analysis of transcriptomes from leaves of field and controlled-temperature environments revealed that conditions which promote early flowering in cassava have low expression of the flowering repressor gene TEMPRANILLO 1 (TEM1), before and after flowering. Expression data of field plants showed that the balance between flower stimulatory and inhibitory signaling appeared to correlate with flowering time across the environments and genotypes.

New Nucleotide Polymorphisms in the BTC1 gene of Sugar Beet

2020 ◽  
Vol 36 (6) ◽  
pp. 49-54
Author(s):  
A.A. Nalbandyan ◽  
T.P. Fedulova ◽  
I.V. Cherepukhina ◽  
T.I. Kryukova ◽  
N.R. Mikheeva ◽  
...  
Keyword(s):  
Sugar Beet ◽  
Flowering Time ◽  
Molecular Genetic ◽  
Bioinformatic Analysis ◽  
Early Flowering ◽  
Nucleotide Polymorphisms ◽  
Nucleotide Substitutions ◽  
Time Control ◽  
Flowering Time Control ◽  
Exon 10

The flowering time control gene of various sugar beet plants has been studied. The BTC1 gene is a regulator for the suppressor (flowering time 1) and inducer (flowering time 2) genes of this physiological process. The F9/R9 primer pair was used for polymerase chain reaction; these primers are specific to the BTC1 gene region containing exon 9, as well as intron and exon 10. For the first time, nucleotide substitutions in exon 10 of BTC1 gene were identified in bolting sensitive samples (HF1 and BF1), which led to a change in the amino acid composition of the coded polypeptide chain. Based on the results of bioinformatic analysis, it can be assumed that certain nucleotide polymorphisms in the BTC1 gene may determine with a high probability the predisposition of sugar beet genotypes to early flowering. The use of the Geneious Prime tool for the analysis of the BTC1 gene sequences may allow the culling of genotypes prone to early flowering at early stages of selection. sugar beet, flowering gene, BTC1, genetic polymorphism, PCR, molecular genetic markers, selection

scholarly journals Quantitative Control of Early Flowering in White Lupin (Lupinus albus L.)

2021 ◽  
Vol 22 (8) ◽  
pp. 3856
Author(s):  
Sandra Rychel-Bielska ◽  
Anna Surma ◽  
Wojciech Bielski ◽  
Bartosz Kozak ◽  
Renata Galek ◽  
...  
Keyword(s):  
Flowering Time ◽  
Association Studies ◽  
Lupinus Albus ◽  
Genotypic Diversity ◽  
Early Flowering ◽  
White Lupin ◽  
Genome Wide Association Studies ◽  
Interacting Protein ◽  
Major Qtls ◽  
Lupinus Albus L

White lupin (Lupinus albus L.) is a pulse annual plant cultivated from the tropics to temperate regions for its high-protein grain as well as a cover crop or green manure. Wild populations are typically late flowering and have high vernalization requirements. Nevertheless, some early flowering and thermoneutral accessions were found in the Mediterranean basin. Recently, quantitative trait loci (QTLs) explaining flowering time variance were identified in bi-parental population mapping, however, phenotypic and genotypic diversity in the world collection has not been addressed yet. In this study, a diverse set of white lupin accessions (n = 160) was phenotyped for time to flowering in a controlled environment and genotyped with PCR-based markers (n = 50) tagging major QTLs and selected homologs of photoperiod and vernalization pathway genes. This survey highlighted quantitative control of flowering time in white lupin, providing statistically significant associations for all major QTLs and numerous regulatory genes, including white lupin homologs of CONSTANS, FLOWERING LOCUS T, FY, MOTHER OF FT AND TFL1, PHYTOCHROME INTERACTING FACTOR 4, SKI-INTERACTING PROTEIN 1, and VERNALIZATION INDEPENDENCE 3. This revealed the complexity of flowering control in white lupin, dispersed among numerous loci localized on several chromosomes, provided economic justification for future genome-wide association studies or genomic selection rather than relying on simple marker-assisted selection.

scholarly journals Identification and characterization of regulatory pathways involved in early flowering in the new leaves of alfalfa (Medicago sativa L.) by transcriptome analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dongmei Ma ◽  
Bei Liu ◽  
Lingqiao Ge ◽  
Yinyin Weng ◽  
Xiaohui Cao ◽  
...  
Keyword(s):  
Medicago Sativa ◽  
Secondary Metabolism ◽  
Flowering Time ◽  
Degradation Pathway ◽  
Early Flowering ◽  
Receptor Kinase ◽  
Leucine Rich Repeat ◽  
Kinase Family ◽  
Pathogenesis Related ◽  
Early Flowering Phenotype

Abstract Background Alfalfa (Medicago sativa L.) is a perennial legume extensively planted throughout the world as a high nutritive value livestock forage. Flowering time is an important agronomic trait that contributes to the production of alfalfa hay and seeds. However, the underlying molecular mechanisms of flowering time regulation in alfalfa are not well understood. Results In this study, an early-flowering alfalfa genotype 80 and a late-flowering alfalfa genotype 195 were characterized for the flowering phenotype. Our analysis revealed that the lower jasmonate (JA) content in new leaves and the downregulation of JA biosynthetic genes (i.e. lipoxygenase, the 12-oxophytodienoate reductase-like protein, and salicylic acid carboxyl methyltransferase) may play essential roles in the early-flowering phenotype of genotype 80. Further research indicated that genes encode pathogenesis-related proteins [e.g. leucine rich repeat (LRR) family proteins, receptor-like proteins, and toll-interleukin-like receptor (TIR)-nucleotide-binding site (NBS)-LRR class proteins] and members of the signaling receptor kinase family [LRR proteins, kinases domain of unknown function 26 (DUF26) and wheat leucine-rich repeat receptor-like kinase10 (LRK10)-like kinases] are related to early flowering in alfalfa. Additionally, those involved in secondary metabolism (2-oxoglutarate/Fe (II)-dependent dioxygenases and UDP-glycosyltransferase) and the proteasome degradation pathway [really interesting new gene (RING)/U-box superfamily proteins and F-box family proteins] are also related to early flowering in alfalfa. Conclusions Integrated phenotypical, physiological, and transcriptomic analyses demonstrate that hormone biosynthesis and signaling pathways, pathogenesis-related genes, signaling receptor kinase family genes, secondary metabolism genes, and proteasome degradation pathway genes are responsible for the early flowering phenotype in alfalfa. This will provide new insights into future studies of flowering time in alfalfa and inform genetic improvement strategies for optimizing this important trait.

scholarly journals Construction and Application of WeChat Learning Platform in "Folk Literature" Teaching

2016 ◽  
Vol 11 (05) ◽  
pp. 10 ◽  
Author(s):  
Wei SHANG
Keyword(s):  
Distance Education ◽  
College Education ◽  
Literature Teaching ◽  
Effect Analysis ◽  
Learning Platform ◽  
Theoretical Support ◽  
Mobile Software ◽  
Application Mode ◽  
Before And After ◽  
Folk Literature

WeChat as a type of mobile software with social communication attribute and platform function can offer a new platform and application mode for distance education. Real-time communication and good use experience of WeChat can make students have high use ratio and degree of tackiness. WeChat learning platform makes distance education more feasible, convenient and efficient. This paper takes Folk Literature as the experimental course and adopts interview and statistical data methods to contrastively analyze classroom effect differences before and after application of WeChat learning platform through design of WeChat learning platform of Folk Literature distance education, teaching design and case design and application effect analysis of WeChat learning platform application. This paper provides theoretical support and data support for Folk Literature distance education and its application in college education.

scholarly journals The Impacts of Flowering Time and Tillering on Grain Yield of Sorghum Hybrids across Diverse Environments

2019 ◽  
Author(s):  
Xuemin Wang ◽  
Colleen Hunt ◽  
Alan Cruickshank ◽  
Emma Mace ◽  
Graeme Hammer ◽  
...  
Keyword(s):  
Grain Yield ◽  
Flowering Time ◽  
Genetic Background ◽  
Linear Models ◽  
Genetic Correlations ◽  
Environment Interaction ◽  
Canopy Development ◽  
Factors Affecting ◽  
Sorghum Production ◽  
Relationship Of

Sorghum in Australia is grown in water-limited environments of varying extent, generating substantial genotype × environment interaction (GEI). Much of the yield variation and GEI results from variations in flowering time and tillering through their effects on canopy development. The confounding effects of flowering and tillering complicate the interpretation of breeding trials. In this study, we evaluated the impacts of both flowering time (DTF) and tillering capacity (FTN) on yield of 1741 unique test hybrids derived from three common female testers in 21 yield testing trials (48 tester/trial combinations) across the major sorghum production regions in Australia in three seasons. Contributions of DTF and FTN to genetic variation in grain yield were significant in 14 and 12 tester/trial combinations, respectively. The proportion of genetic variance in grain yield explained by DTF and FTN ranged from 0.2% to 61.0% and from 1.4% to 56.9%, respectively, depending on trials and genetic background of female testers. The relationship of DTF or FTN with grain yield of hybrids was frequently positive, but varied across the genetic background of testers. Accounting for the effects of DTF and FTN using linear models did not substantially increase the between trial genetic correlations for grain yield. The results suggested that other factors affecting canopy development dynamics and grain yield might contribute GEI and/or the linear approach to account for DTF and FTN on grain yield did not capture the complex non-linear interactions.

scholarly journals Quality Improvement for A Shoe Laundry Using Integration Model of Service Blueprint, Failure Mode and Effect Analysis, and Fault Tree Analysis

2018 ◽  
Vol 218 ◽  
pp. 04006
Author(s):  
Natalia Hartono ◽  
Andry M Panjaitan ◽  
Abram Noel
Keyword(s):  
Service Quality ◽  
Failure Mode ◽  
Service Failure ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Integration Model ◽  
Effect Analysis ◽  
Tree Analysis ◽  
Before And After ◽  
Service Blueprint

Nowadays, shoes are not just a casual footwear. Certain shoes can tell the social class of a person. The increase of shoe prices and social status of wearing expensive shoes became a trigger for the development of shoe laundry services. There were a service quality problems in a shoe laundry in Tangerang, Indonesia. Several methods to improve service quality was studied and it is decided to propose a new model, which is integration model of Service Blueprint, Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA). The research starts with identifying the problem with observation and interview, then build Service Blueprint. Based on the fail point that has been identified in Service Blueprint, the FMEA used to find which process is the most dominant cause of failure and the most urgent for improvement. The next step is using FTA to find the root cause of the failure of the dominant cause. After analyzing the FTA, the improvement was proposed and implemented. Service failure before and after implementation was compared to see the improvements. There are 6 suggestion and implemented. After the implementation, the error in each process was measured and it is found a decrease in error in each process.

A new dominant locus, E11, controls early flowering time and maturity in soybean

2019 ◽  
Vol 39 (5) ◽  
Author(s):  
Feifei Wang ◽  
Haiyang Nan ◽  
Liyu Chen ◽  
Chao Fang ◽  
Hanyun Zhang ◽  
...  
Keyword(s):  
Flowering Time ◽  
Early Flowering

The inheritance of flowering time in Townsville stylo (Stylosanthes humilis)

1976 ◽  
Vol 27 (6) ◽  
pp. 825 ◽  
Author(s):  
DF Cameron
Keyword(s):  
Flowering Time ◽  
Dominant Gene ◽  
Diallel Cross ◽  
Early Flowering ◽  
Multiple Alleles ◽  
Locus Model ◽  
Stylosanthes Humilis ◽  
Townsville Stylo ◽  
Maturity Groups ◽  
Early Flowering Phenotype

The inheritance of flowering time was studied in F1, F2 and F3 populations derived from a diallel cross among nine naturalized Australian lines of Townsville stylo (Stylosnnthes humilis) and in F1 and F2 populations from a small number of crosses between naturalized Australian lines and introductions from Mexico and Brazil. Strong dominance for lateness of flowering was observed in both the (Australian x Australian) and the (Australian x Mexican/Brazilian introductions) crosses, and some F2 and F3 progenies included small numbers of extremely early plants, flowering up to 55 days earlier than the earliest parent. The flowering time distributions of the (Australian x Australian) crosses could be explained by a three-locus model with multiple alleles at two loci. Proposed genotypes for the four maturity groups are as follows: late, LLM2M2EE; late-midseason, LLmmEE; mid-season, l2l2M2M2EE; early, l1l1M1M1EE; very early, LLM2M2ee. Only one major dominant gene for lateness of flowering could be detected from the distribution of the two (Australian x introduced line) F2 populations, but the segregation of extremely early types and the low recovery of the early-flowering phenotype suggested that other gene loci were segregating.

scholarly journals Dehydroabietinal promotes flowering time and plant defense in Arabidopsis via the autonomous pathway genes FLOWERING LOCUS D, FVE, and RELATIVE OF EARLY FLOWERING 6

2020 ◽  
Vol 71 (16) ◽  
pp. 4903-4913 ◽  
Author(s):  
Zulkarnain Chowdhury ◽  
Devasantosh Mohanty ◽  
Mrunmay K Giri ◽  
Barney J Venables ◽  
Ratnesh Chaturvedi ◽  
...  
Keyword(s):  
Flowering Time ◽  
Systemic Acquired Resistance ◽  
Defense Mechanism ◽  
Acquired Resistance ◽  
Early Flowering ◽  
Negative Regulator ◽  
Flowering Locus T ◽  
Autonomous Pathway ◽  
Abietane Diterpenoids ◽  
Flowering Locus

Abstract Abietane diterpenoids are tricyclic diterpenes whose biological functions in angiosperms are largely unknown. Here, we show that dehydroabietinal (DA) fosters transition from the vegetative phase to reproductive development in Arabidopsis thaliana by promoting flowering time. DA’s promotion of flowering time was mediated through up-regulation of the autonomous pathway genes FLOWERING LOCUS D (FLD), RELATIVE OF EARLY FLOWERING 6 (REF6), and FVE, which repress expression of FLOWERING LOCUS C (FLC), a negative regulator of the key floral integrator FLOWERING LOCUS T (FT). Our results further indicate that FLD, REF6, and FVE are also required for systemic acquired resistance (SAR), an inducible defense mechanism that is also activated by DA. However, unlike flowering time, FT was not required for DA-induced SAR. Conversely, salicylic acid, which is essential for the manifestation of SAR, was not required for the DA-promoted flowering time. Thus, although the autonomous pathway genes FLD, REF6, and FVE are involved in SAR and flowering time, these biological processes are not interdependent. We suggest that SAR and flowering time signaling pathways bifurcate at a step downstream of FLD, REF6, and FVE, with an FLC-dependent arm controlling flowering time, and an FLC-independent pathway controlling SAR.

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