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Species often include multiple ecotypes that are adapted to different environments 1. However, it is unclear how ecotypes arise and how their distinctive combinations of adaptive alleles are maintained despite hybridization with non-adapted populations 2-4. Here, by resequencing 1,506 wild sunflowers from 3 species (Helianthus annuus, Helianthus petiolaris and Helianthus argophyllus), we identify 37 large (1-100 Mbp in size), non-recombining haplotype blocks that are associated with numerous ecologically relevant traits, as well as soil and climate characteristics. Limited recombination in these haplotype blocks keeps adaptive alleles together, and these regions differentiate sunflower ecotypes. For example, haplotype blocks control a 77-day difference in flowering between ecotypes of the silverleaf sunflower H. argophyllus (probably through deletion of a homologue of FLOWERING LOCUS T (FT)), and are associated with seed size, flowering time and soil fertility in dune-adapted sunflowers. These haplotypes are highly divergent, frequently associated with structural variants and often appear to represent introgressions from other-possibly now-extinct-congeners. These results highlight a pervasive role of structural variation in ecotypic adaptation. Local adaptation is common in species that experience different environments across their range, often resulting in the formation of ecotypes-ecological races with distinct morphological and/or physiological characteristics that provide an environment-specific fitness advantage. Despite the prevalence of ecotypic differentiation, much remains to be understood about the genetic basis and evolutionary mechanisms that underlie its establishment and maintenance. In particular , a longstanding evolutionary question-dating to criticisms of Darwin's theories by his contemporaries 4-concerns how such ecological divergence can occur when challenged by hybridization with non-adapted populations 2. Local adaptation typically requires alleles at multiple loci that contribute to increased fitness in the same environment ; however, different ecotypes are often geographically close and interfertile, and hybridization between them should break up adaptive allelic combinations 3. To better understand the genetic basis of local adaptation and ecotypic differentiation, we conducted an in-depth study of genetic, phenotypic and environmental variation in three annual sunflower species, each of which includes multiple reproductively compatible ecotypes. Two species (H. annuus and H. petiolaris) have broad, overlapping distributions across North America. Helianthus annuus, the common sunflower, is generally found on mesic soils, but can grow in a variety of disturbed or extreme habitats, including semi-desert or frequently flooded areas. An especially well-characterized ecotype (formally known as H. annuus subsp. texanus) is adapted to the higher temperatures and herbivore pressures in Texas (USA) 5. Helianthus petiolaris, the prairie sunflower, prefers sandier soils; ecotypes of this species are adapted to sand sheets and dunes 6. The third species-H. argophyllus, the silverleaf sunflower-is endemic to southern Texas and includes both an early-flowering, coastal-island ecotype and a late-flowering inland ecotype 7. Population structure of wild sunflowers In a common garden experiment, we grew 10 plants from each of 151 populations of the 3 species, selected from across their native range (Fig. 1a); for each of these populations, we collected corresponding soil samples. We generated extensive records of developmental and morphological traits, and resequenced the genomes of 1,401 individual plants. We resequenced an additional 105 H. annuus plants to fill gaps in geographical coverage, as well as 12 outgroup taxa (Supplementary Table 1). Sunflower genomes are relatively large (H. annuus, 3.5 Gbp; https://doi.

International audience; Domesticated plants and animals often display dramatic responses to selection, but the origins of the genetic diversity underlying these responses remain poorly understood. Despite domestication and improvement bottlenecks, the cultivated sunflower remains highly variable genetically, possibly due to hybridization with wild relatives. To characterize genetic diversity in the sunflower and to quantify contributions from wild relatives, we sequenced 287 cultivated lines, 17 Native American landraces and 189 wild accessions representing 11 compatible wild species. Cultivar sequences failing to map to the sunflower reference were assembled de novo for each genotype to determine the gene repertoire, or 'pan-genome', of the cultivated sunflower. Assembled genes were then compared to the wild species to estimate origins. Results indicate that the cultivated sunflower pan-genome comprises 61,205 genes, of which 27% vary across genotypes. Approximately 10% of the cultivated sunflower pan-genome is derived through introgression from wild sunflower species, and 1.5% of genes originated solely through introgression. Gene ontology functional analyses further indicate that genes associated with biotic resistance are over-represented among introgressed regions, an observation consistent with breeding records. Analyses of allelic variation associated with downy mildew resistance provide an example in which such introgressions have contributed to resistance to a globally challenging disease.

Early in the assembly of the spliceosome of eukaryotes the branch-point binding protein (BBP, also called SF1) recognizes the branch point sequence, whereas the heterodimer U2AF consisting of a 65 and a 35 kDa subunit, contacts the polypyrimidine tract and the AG splice site, respectively. Herein, we identified, cloned and expressed the Trypanosoma cruzi and Trypanosoma brucei U2AF35, U2AF65 and SF1. Trypanosomatid U2AF65 strongly diverged from yeast and human homologues. On the contrary, trypanosomatid SF1 was conserved but lacked the C-terminal sequence present in the mammalian protein. Yeast two hybrid approaches were used to assess their interactions. The interaction between U2AF35 and U2AF65 was very weak or not detectable. However, as in other eukaryotes, the interaction between U2AF65 and SF1 was strong. At the cellular level, these results were confirmed by fractionation and affinity-selection experiments in which SF1 and U2AF65 co-fractionated in a complex of approximately 400 kDa and U2AF65 was affinity-selected with TAP tagged SF1, but not with TAP tagged U2AF35. Silencing of the three factors affected growth and trans-splicing in the first step of this reaction. Trypanosomes are the first described example of eukaryotic cells in which the interaction of two expressed U2AF factors seemed to be very weak, or even undetectable. Fil: Vazquez, Martin Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr. Héctor N. Torres"; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Fisiología, Biología Molecular y Celular; Argentina Fil: Mualem, David. Bar-Ilan University; Israel Fil: Bercovich, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr. Héctor N. Torres"; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Fisiología, Biología Molecular y Celular; Argentina Fil: Stern, Michael Zeev. Bar-Ilan University; Israel Fil: Nyambega, Benson. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr. Héctor N. Torres"; Argentina. International Center for Insect Physiology and Ecology; Kenia Fil: Barda, Omer. Bar-Ilan University; Israel Fil: Masiga, Dan. International Center for Insect Physiology and Ecology; Kenia Fil: Gupta, Sachin Kumar. Bar-Ilan University; Israel Fil: Michaeli, Shulamit. Bar-Ilan University; Israel Fil: Levin, Mariano Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr. Héctor N. Torres"; Argentina. Inserm; Francia

Removal of the poly(A) tail is the first step in the degradation of many eukaryotic mRNAs. In metazoans and yeast, the Ccr4/Caf1/Not complex has the predominant deadenylase activity, while the Pan2/Pan3 complex may trim poly(A) tails to the correct size, or initiate deadenylation. In trypanosomes, turnover of several constitutively-expressed or long-lived mRNAs is not affected by depletion of the 5'-3' exoribonuclease XRNA, but is almost completely inhibited by depletion of the deadenylase CAF1. In contrast, two highly unstable mRNAs, encoding EP procyclin and a phosphoglycerate kinase, PGKB, accumulate when XRNA levels are reduced. We here show that degradation of EP mRNA was partially inhibited after CAF1 depletion. RNAi-targeting trypanosome PAN2 had a mild effect on global deadenylation, and on degradation of a few mRNAs including EP. By amplifying and sequencing degradation intermediates, we demonstrated that a reduction in XRNA had no effect on degradation of a stable mRNA encoding a ribosomal protein, but caused accumulation of EP mRNA fragments that had lost substantial portions of the 5' and 3' ends. The results support a model in which trypanosome mRNAs can be degraded by at least two different, partially independent, cytoplasmic degradation pathways attacking both ends of the mRNA. © 2009 The Author(s). Fil:Bercovich, N. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.

The large subunit of the eukaryotic ribosome possesses a long and protruding stalk formed by the ribosomal P proteins. Four out of five ribosomal P proteins of Trypanosoma cruzi, TcP0, TcP1alpha, TcP2alpha, and TcP2beta had been previously characterized. Data mining of the T. cruzi genome data base allowed the identification of the fifth member of this protein group, a novel P1 protein, named P1beta. To gain insight into the assembly of the stalk, a yeast two-hybrid based protein interaction map was generated. A parasite specific profile of interactions amongst the ribosomal P proteins of T. cruzi was evident. The TcP0 protein was able to interact with all both P1 and both P2 proteins. Moreover, the interactions between P2beta with P1alpha as well as with P2alpha were detected, as well as the ability of TcP2beta to homodimerize. A quantitative evaluation of the interactions established that the strongest interacting pair was TcP0-TcP1beta. Fil: Juri Ayub, Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular ; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto Multidisciplinario de Investigaciones Biológicas de San Luis. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Instituto Multidisciplinario de Investigaciones Biológicas de San Luis; Argentina Fil: Smulski, Cristian Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular ; Argentina Fil: Nyambega, Benson. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular ; Argentina. International Centre of Insect Physiology and Ecology; Kenia Fil: Bercovich, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular ; Argentina Fil: Masiga, Dan. International Centre of Insect Physiology and Ecology; Kenia Fil: Vazquez, Martin Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular ; Argentina Fil: Aguilar, Carlos Fernando. Universidad Nacional de San Luis; Argentina Fil: Levin, Mariano Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular ; Argentina