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Meir, Z.

Publications and source records attributed to Meir, Z..

4 recordsLinked to original sources

RHO GTPase of Plants contributes to robust establishment of cellular asymmetry during development from a single cell

A fundamental question in developmental biology is how highly complex, yet reproducible multicellular body plans form from a single cell. The multicellular haploid body of the land plant Marchantia polymorpha develops from a single isolated cell - the spore - that divides asymmetrically. This produces a small terminally differentiating basal cell, and a large proliferative apical cell that gives rise to the multicellular sporeling body. The genetic basis for the establishment of asymmetry, first within the spore, and later within the sporeling body has remained virtually unknown. Here, we show that the plant specific RHO-type GTPase - RHO OF PLANTS (ROP) - polarises to the spore basal pole to ensure spore division is highly and reproducibly asymmetric. We demonstrate this highly asymmetric division is necessary to specify the terminal differentiation of the basal cell. Furthermore, we show that ROP-mediated polarised outgrowth is required to establish asymmetry within the sporeling body derived from the apical cell. Our discovery highlights how ROP function confers developmental robustness and contributes to the establishment of asymmetry during plant development from a single isolated cell.

plant biology↗

Antagonism between blue and red light-signalling controls thallus flatness in Marchantia polymorpha

The growth orientation of the Marchantia polymorpha thallus - a system of dorsiventralized, indeterminate axes - is modulated by light. We show that red and blue light act antagonistically to control thallus growth tropisms, with red light signalling promoting epinasty and blue light signalling promoting hyponasty. We found that loss-of-function mutations in the blue light receptor MpPHOT led to epinasty, while loss-of-function mutations in the red light receptor MpPHY resulted in hyponasty. We hypothesize that these antagonistic activities of blue and red light signalling are balanced in white light, resulting in the development of flat thalli. Using time-resolved transcriptomics, we identified genes that were rapidly induced upon light exposure. Among these genes were all six members of the M. polymorpha BBX gene family. Mutants harbouring loss-of-function mutations in two of the six MpBBX transcription factors developed defective thallus tropisms. Mpbbx1 loss-of-function mutants formed hyponastic thalli, while Mpbbx5 loss-of-function mutants developed epinastic thalli. Double mutants Mpbbx1 Mpbbx5 grew flat, supporting the hypothesis that they function antagonistically. Together, these data indicate that phototropin-mediated blue light and phytochrome-mediated red light signalling antagonistically modulate thallus tropism, and that BBX transcription factors also act antagonistically to regulate thallus flatness.

plant biology↗

Two AGO proteins with transposon-derived sRNA cargo mark the germline in Arabidopsis

Summary paragraphIn sexually propagating organisms, genetic and epigenetic mutations are evolutionarily relevant only if they occur in the germline and provide inherited information to the next generation. In contrast to most animals, plants are thought to lack an early segregating germline, implying that somatic cells can contribute genetic information to the progeny. Here we demonstrate that two ARGONAUTE proteins, AGO5 and AGO9, mark an early-segregating germline. Both AGOs are loaded with dynamically changing populations of small RNAs derived from highly methylated, pericentromeric, long transposons. Sequencing single nuclei revealed that many of these transposons are co-expressed within an AGO5/9 expression domain of the shoot apical meristem (SAM). This indicates a host-parasite tug of war and specific silencing pathways along the plant germline throughout development. Our results open the path to investigate transposon biology and epigenome dynamics at cellular resolution in the SAM stem cell niche.

plant biology↗

MetaCell: analysis of single cell RNA-seq data using k-NN graph partitions

Single cell RNA-seq (scRNA-seq) has become the method of choice for analyzing mRNA distributions in heterogeneous cell populations. scRNA-seq only partially samples the cells in a tissue and the RNA in each cell, resulting in sparse data that challenge analysis. We develop a methodology that addresses scRNA-seqs sparsity through partitioning the data into metacells: disjoint, homogenous and highly compact groups of cells, each exhibiting only sampling variance. Metacells constitute local building blocks for clustering and quantitative analysis of gene expression, while not enforcing any global structure on the data, thereby maintaining statistical control and minimizing biases. We illustrate the MetaCell framework by re-analyzing cell type and transcriptional gradients in peripheral blood and whole organism scRNA-seq maps. Our algorithms are implemented in the new MetaCell R/C++ software package.

bioinformatics↗