We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
ZeptoMetrix an Antylia scientific company

Download Mobile App




Insights into Evolution of Drought-Tolerance Revealed by Pineapple Genome

By LabMedica International staff writers
Posted on 01 Dec 2015
Upon sequencing its genome, scientists begin to home in on genes and pathways that enable the pineapple plant to thrive in water-limited environments and open a new window on CAM photosynthesis, circadian rhythms, and the complicated evolutionary history of cultivated grasses like sorghum and rice, which share a distant ancestor with pineapple.

In an international collaboration of several institutions, a team led by Plant Biology Professor Ray Ming, University of Illinois at Urbana-Champaign (Champaign, IL, USA has provided a first analysis of the drought-tolerant pineapple genome upon sequencing the genomes of the cultivated Ananas comosus (L.) Merr. More...
and its wild type relative Ananas bracteatus. Pineapple is a most economically valuable crop possessing crassulacean acid metabolism (CAM), a photosynthetic carbon assimilation pathway with high water-use efficiency. Humans have cultivated pineapple for over 6,000 years, beginning in present-day southwest Brazil and northeast Paraguay. Today, over 85 countries produce about 25 million metric tons annually.

Like many plants, the ancestors of pineapple and grasses experienced multiple doublings of their genomes. Tracking the remnants of these whole-genome duplications (WGDs) in different species helps trace shared and independent evolutionary histories. "Our analysis indicates that the pineapple genome has one fewer WGD than the grasses that share an ancestor with pineapple, making pineapple the best comparison group for the study of cereal crop genomes," said Prof. Ming. The study uncovered evidence of 2 WGDs in the pineapple's history and validated previous findings of 3 WGDs in grasses.

Althought most crop plants use the C3 type of photosynthesis, many plant species use the specialized CAM type. "CAM plants use only 20% of the water used by typical C3 crop plants, and CAM plants can grow in dry, marginal lands that are unsuited for most crop plants," said Prof. Ming. "Drought is responsible for the majority of global crop loss, so understanding the mechanisms that plants have evolved to survive water stress is vital for engineering drought tolerance in crop species," the researchers wrote.

CAM and C4 photosynthesis, which is common among grasses, use many of the same enzymes to concentrate carbon dioxide in plant leaves. Other plants, such as soybeans, use the less efficient C3 photosynthesis, which lacks the CO2-concentrating mechanisms of C4 and CAM. Understanding the evolution itself is also important and the team discovered that CAM photosynthesis evolved by reconfiguring molecular pathways involved in C3 photosynthesis. "All plants contain the necessary genes for CAM photosynthesis, and the evolution of CAM simply requires rerouting of preexisting pathways," they wrote.

Analysis of the pineapple genome further revealed that some genes that contribute to CAM photosynthesis are regulated by circadian clock genes. "This is the first time scientists have found a link between regulatory elements of CAM photosynthesis genes and circadian clock regulation," said Prof. Ming, "This makes sense, because CAM photosynthesis allows plants to close the pores in their leaves during the day and open them at night. This contributes to pineapple's resilience in hot, arid climates, as the plant loses very little moisture through its leaves during the day." CAM photosynthesis allows the plant to absorb and "fix CO2 into molecules during the night, concentrate it in its leaves, and release it the next day for photosynthesis," he added.

The study, by Ming R. et al., was published online ahead of print November 2, 2015, in the journal Nature Genetics.

Related Links:

University of Illinois at Urbana-Champaign



Platinum Member
Xylazine Immunoassay Test
Xylazine ELISA
Verification Panels for Assay Development & QC
Seroconversion Panels
Complement 3 (C3) Test
GPP-100 C3 Kit
Gold Member
NEW PRODUCT : SILICONE WASHING MACHINE TRAY COVER WITH VICOLAB SILICONE NET VICOLAB®
REGISTRED 682.9
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: QIP-MS could predict and detect myeloma relapse earlier compared to currently used techniques (Photo courtesy of Adobe Stock)

Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse

Myeloma, a type of cancer that affects the bone marrow, is currently incurable, though many patients can live for over 10 years after diagnosis. However, around 1 in 5 individuals with myeloma have a high-risk... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: Ziyang Wang and Shengxi Huang have developed a tool that enables precise insights into viral proteins and brain disease markers (Photo courtesy of Jeff Fitlow/Rice University)

Light Signature Algorithm to Enable Faster and More Precise Medical Diagnoses

Every material or molecule interacts with light in a unique way, creating a distinct pattern, much like a fingerprint. Optical spectroscopy, which involves shining a laser on a material and observing how... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.