Expression of Genes for Photosynthesis and the Relationship to Salt Tolerance of Alfalfa (Medicago sativa) Cells

The basis for the salt tolerant phenotype of a line of Medicagosativa (alfalfa) cells (HG2-N1) derived by selection from asalt sensitive line (HG2) was studied. The salt tolerant HG2-N1cell line shows eleven fold elevated chlorophyll content overthat of the parent salt sensitive HG2 cell line, with an additionaltwo fold increase in chlorophyll levels when the cells are grownin 1% NaCl. In this study, we demonstrate that the chlorophyllaccumulation and response to salt was associated with largeincreases in the two photosynthesis related mRNAs, rbcL (ribulose-l,5-bis-phosphatecarboxylase [Rubisco] large subunit) and rbcS (Rubisco smallsubunit) and a substantial increase in the activity of the holoenzyme.The salinity-induced increase in catalytically competent Rubiscoprotein in the salt tolerant cell line was highly responsiveto light and correlated with the salt tolerant phenotype. Inaddition, NaCl stimulated rbcL and rbcS mRNA and Rubisco accumulationin dark grown salt tolerant cells, indicating that salt couldsubstitute to some degree for light in stimulating increasesin specific mRNA and protein concentrations. Increased photosyntheticcompetence associated with these increased protein levels wasapparently important in contributing to the salt tolerant phenotypeof HG2-N1, since PS II electron transport inhibitors (DCMU,cyanazine) were found to significantly reduce the growth ofthis cell line in the presence of salt, but not in the absenceof salt. These results suggest that the salt-induced increasein mRNA and protein accumulation involved in photosynthesismay play a significant role in the salt tolerant capabilityof HG2-N1 alfalfa cells. (Received April 2, 1990; Accepted September 10, 1990)     

Prediction accuracies for growth and wood attributes of interior spruce in space using genotyping-by-sequencing

Background

Genomic selection (GS) in forestry can substantially reduce the length of breeding cycle and increase gain per unit time through early selection and greater selection intensity, particularly for traits of low heritability and late expression. Affordable next-generation sequencing technologies made it possible to genotype large numbers of trees at a reasonable cost.

Results

Genotyping-by-sequencing was used to genotype 1,126 Interior spruce trees representing 25 open-pollinated families planted over three sites in British Columbia, Canada. Four imputation algorithms were compared (mean value (MI), singular value decomposition (SVD), expectation maximization (EM), and a newly derived, family-based k-nearest neighbor (kNN-Fam)). Trees were phenotyped for several yield and wood attributes. Single- and multi-site GS prediction models were developed using the Ridge Regression Best Linear Unbiased Predictor (RR-BLUP) and the Generalized Ridge Regression (GRR) to test different assumption about trait architecture. Finally, using PCA, multi-trait GS prediction models were developed. The EM and kNN-Fam imputation methods were superior for 30 and 60% missing data, respectively. The RR-BLUP GS prediction model produced better accuracies than the GRR indicating that the genetic architecture for these traits is complex. GS prediction accuracies for multi-site were high and better than those of single-sites while multi-site predictability produced the lowest accuracies reflecting type-b genetic correlations and deemed unreliable. The incorporation of genomic information in quantitative genetics analyses produced more realistic heritability estimates as half-sib pedigree tended to inflate the additive genetic variance and subsequently both heritability and gain estimates. Principle component scores as representatives of multi-trait GS prediction models produced surprising results where negatively correlated traits could be concurrently selected for using PCA2 and PCA3.

Conclusions

The application of GS to open-pollinated family testing, the simplest form of tree improvement evaluation methods, was proven to be effective. Prediction accuracies obtained for all traits greatly support the integration of GS in tree breeding. While the within-site GS prediction accuracies were high, the results clearly indicate that single-site GS models ability to predict other sites are unreliable supporting the utilization of multi-site approach. Principle component scores provided an opportunity for the concurrent selection of traits with different phenotypic optima.

Electronic supplementary material

The online version of this article (doi:10.1186/s12864-015-1597-y) contains supplementary material, which is available to authorized users.     

Alfin1 transcription factor overexpression enhances plant root growth under normal and saline conditions and improves salt tolerance in alfalfa

Plant root development is an essential determinant of plant growth and crop yield that could be enhanced by induced changes in the expression of root-specific regulatory factors. We reported previously that Alfin1 binds DNA in a sequence-specific manner and that Alfin1 overexpression in transgenic alfalfa (Medicago sativa L.) enhances expression of the salt-inducible MsPRP2 gene in roots, suggesting that Alfin1 functions to regulate gene expression in roots. Here we show that Alfin1 is an essential gene for root growth and that its overexpression in transgenic plants confers a many-fold increase in root growth under normal and saline conditions. Alfin1-binding sites occur in promoters of genes expressed in roots of a wide variety of plant species and we propose that it is a general root growth regulator. Even though Alfin1 overexpression was under the control of the CaMV 35S promoter, plant shoot growth was not adversely affected. We show further that introduction of the Alfin1 transgene in plants confers a dominant characteristic that significantly increases plant growth and salt tolerance.     

Erratum

RNA polynucleotide kinase has been shown to transfer [γ³²P] from ATP to 5-OH termini of endogenous nuclear RNA. The products of this reaction have been isolated in RNA larger than 125 after in vitro incubation of mouse L cell nuclei. About 20%–30% of these 5′-OH kinase products are polyadenylated. A sizeable fraction of the [γ³²P] label from ATP is also found in internal phosphodiester bonds after 30-minute nuclear incubation in vitro. The possibility of substantial [³²P] recycling via the α position of nucleoside triphosphate was ruled out because: (1) 2mM nucleoside triphosphates in the incubation medium, (2) limited nearestneighbor distribution 3′ and 5′ to the phosphodiester bond compared with that from [α³²P] UTP, (3) different nearest-neighbor distribution for RNA molecules > 12S and 12-3S, (4) relative insensitivity of the [γ³²P] incorporation to α-amanitin as compared with total RNA synthesis, (5) internal [³²P] appearance in RNA > 12S in less than five minutes of incubation, and (6) < 0.03% to 0.6% of the total [³²P] in the α position of nucleoside triphosphates after 30 minutes of incubation. The [γ³²P] incorporation was dependent on high ATP concentration and was insensitive to competition by inorganic phosphate. These results are consistent with the levels of 5′ RNA polynucleotide kinase activity in L cell nuclei and suggest the presence of an RNA ligase that can utilize the termini generated by the 5′-OH RNA kinase in a ligation reaction.     

Genome scanning for interspecific differentiation between two closely related oak species [Quercus robur L. and Q. petraea (Matt.) Liebl.

Interspecific differentiation values (G(ST)) between two closely related oak species (Quercus petraea and Q. robur) were compiled across different studies with the aim to explore the distribution of differentiation at the genome level. The study was based on a total set of 389 markers (isozymes, AFLPs, SCARs, microsatellites, and SNPs) for which allelic frequencies were estimated in pairs of populations sampled throughout the sympatric distribution of the two species. The overall distribution of G(ST) values followed an L-shaped curve with most markers exhibiting low species differentiation (G(ST) < 0.01) and only a few loci reaching >10% levels. Twelve percent of the loci exhibited significant G(ST) deviations to neutral expectations, suggesting that selection contributed to species divergence. Coding regions expressed higher differentiation than noncoding regions. Among the 389 markers, 158 could be mapped on the 12 linkage groups of the existing Q. robur genetic map. Outlier loci with large G(ST) values were distributed over 9 linkage groups. One cluster of three outlier loci was found within 0.51 cM; but significant autocorrelation of G(ST) was observed at distances <2 cM. The size and distribution of genomic regions involved in species divergence are discussed in reference to hitchhiking effects and disruptive selection.