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Tracking data from 17 marine predator species in the Southern Ocean are used to identify Areas of Ecological Significance, the protection of which could help to mitigate increasing pressures on Southern Ocean ecosystems.

Southern Ocean ecosystems are under pressure from resource exploitation and climate change(1,2). Mitigation requires the identification and protection of Areas of Ecological Significance (AESs), which have so far not been determined at the ocean-basin scale. Here, using assemblage-level tracking of marine predators, we identify AESs for this globally important region and assess current threats and protection levels. Integration of more than 4,000 tracks from 17 bird and mammal species reveals AESs around sub-Antarctic islands in the Atlantic and Indian Oceans and over the Antarctic continental shelf. Fishing pressure is disproportionately concentrated inside AESs, and climate change over the next century is predicted to impose pressure on these areas, particularly around the Antarctic continent. At present, 7.1% of the ocean south of 40 degrees S is under formal protection, including 29% of the total AESs. The establishment and regular revision of networks of protection that encompass AESs are needed to provide long-term mitigation of growing pressures on Southern Ocean ecosystems.

Plants are essential for life and are extremely diverse organisms with unique molecular capabilities(1). Here we present a quantitative atlas of the transcriptomes, proteomes and phosphoproteomes of 30 tissues of the model plant Arabidopsis thaliana. Our analysis provides initial answers to how many genes exist as proteins (more than 18,000), where they are expressed, in which approximate quantities (a dynamic range of more than six orders of magnitude) and to what extent they are phosphorylated (over 43,000 sites). We present examples of how the data may be used, such as to discover proteins that are translated from short open-reading frames, to uncover sequence motifs that are involved in the regulation of protein production, and to identify tissue-specific protein complexes or phosphorylation-mediated signalling events. Interactive access to this resource for the plant community is provided by the ProteomicsDB and ATHENA databases, which include powerful bioinformatics tools to explore and characterize Arabidopsis proteins, their modifications and interactions.

A quantitative atlas of the transcriptomes, proteomes and phosphoproteomes of 30 tissues of the model plant Arabidopsis thaliana provides a valuable resource for plant research.

Levels of gene expression underpin organismal phenotypes(1,2), but the nature of selection that acts on gene expression and its role in adaptive evolution remain unknown(1,2). Here we assayed gene expression in rice (Oryza sativa)(3), and used phenotypic selection analysis to estimate the type and strength of selection on the levels of more than 15,000 transcripts(4,5). Variation in most transcripts appears (nearly) neutral or under very weak stabilizing selection in wet paddy conditions (with median standardized selection differentials near zero), but selection is stronger under drought conditions. Overall, more transcripts are conditionally neutral (2.83%) than are antagonistically pleiotropic(6) (0.04%), and transcripts that display lower levels of expression and stochastic noise(7-9) and higher levels of plasticity(9) are under stronger selection. Selection strength was further weakly negatively associated with levels of cis-regulation and network connectivity(9). Our multivariate analysis suggests that selection acts on the expression of photosynthesis genes(4,5), but that the efficacy of selection is genetically constrained under drought conditions(10). Drought selected for earlier flowering(11,12) and a higher expression of OsMADS18 (Os07g0605200), which encodes a MADS-box transcription factor and is a known regulator of early flowering(13)-marking this gene as a drought-escape gene(11,12). The ability to estimate selection strengths provides insights into how selection can shape molecular traits at the core of gene action.

Phenotypic selection analysis is used to estimate the type and strength of selection that acts on more than 15,000 transcripts in rice (Oryza sativa), which provides insight into the adaptive evolutionary role of selection on gene expression.

LGR5 marks resident adult epithelial stem cells at the gland base in the mouse pyloric stomach(1), but the identity of the equivalent human stem cell population remains unknown owing to a lack of surface markers that facilitate its prospective isolation and validation. In mouse models of intestinal cancer, LGR5(+) intestinal stem cells are major sources of cancer following hyperactivation of the WNT pathway(2). However, the contribution of pyloric LGR5(+) stem cells to gastric cancer following dysregulation of the WNT pathway-a frequent event in gastric cancer in humans(3)-is unknown. Here we use comparative profiling of LGR5(+) stem cell populations along the mouse gastrointestinal tract to identify, and then functionally validate, the membrane protein AQP5 as a marker that enriches for mouse and human adult pyloric stem cells. We show that stem cells within the AQP5(+) compartment are a source of WNT-driven, invasive gastric cancer in vivo, using newly generated Aqp5-creERT2 mouse models. Additionally, tumour-resident AQP5(+) cells can selectively initiate organoid growth in vitro, which indicates that this population contains potential cancer stem cells. In humans, AQP5 is frequently expressed in primary intestinal and diffuse subtypes of gastric cancer (and in metastases of these subtypes), and often displays altered cellular localization compared with healthy tissue. These newly identified markers and mouse models will be an invaluable resource for deciphering the early formation of gastric cancer, and for isolating and characterizing human-stomach stem cells as a prerequisite for harnessing the regenerative-medicine potential of these cells in the clinic.

AQP5 is identified as a marker for pyloric stem cells in humans and mice, and stem cells in the AQP5(+) compartment are shown to be a source of invasive gastric cancer in mouse models.